From d755342e62148dfdd47723d0c16da2a0d92f93c4 Mon Sep 17 00:00:00 2001 From: buildmaster Date: Mon, 19 Nov 2018 14:49:07 +0000 Subject: [PATCH] Sync docs from v2.1.0.RC2 to gh-pages --- .../2.1.0.RC2/Guardfile | 20 + .../2.1.0.RC2/css/highlight.css | 35 + .../2.1.0.RC2/css/manual-multipage.css | 9 + .../2.1.0.RC2/css/manual-singlepage.css | 6 + .../2.1.0.RC2/css/manual.css | 344 ++++++ .../2.1.0.RC2/ghpages.sh | 330 ++++++ .../2.1.0.RC2/images/background.png | Bin 0 -> 18255 bytes .../2.1.0.RC2/images/callouts/1.png | Bin 0 -> 329 bytes .../2.1.0.RC2/images/callouts/2.png | Bin 0 -> 353 bytes .../2.1.0.RC2/images/callouts/3.png | Bin 0 -> 350 bytes .../2.1.0.RC2/images/caution.png | Bin 0 -> 2099 bytes .../2.1.0.RC2/images/important.png | Bin 0 -> 2085 bytes .../2.1.0.RC2/images/kafka-binder.png | Bin 0 -> 9469 bytes .../images/kafka-streams-initializr.png | Bin 0 -> 121574 bytes .../2.1.0.RC2/images/logo.png | Bin 0 -> 4387 bytes .../2.1.0.RC2/images/note.png | Bin 0 -> 2257 bytes 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.../2.1.0.RC2/multi/multi__appendices.html | 3 + .../multi/multi__configuration_options.html | 147 +++ ...i__partitioning_with_the_kafka_binder.html | 72 ++ .../multi/multi__reference_guide.html | 5 + .../2.1.0.RC2/multi/multi__usage.html | 9 + .../2.1.0.RC2/multi/multi_building.html | 56 + .../multi/multi_kafka-dlq-processing.html | 89 ++ .../multi/multi_kafka-error-channels.html | 5 + .../2.1.0.RC2/multi/multi_kafka-metrics.html | 5 + .../multi/multi_kafka-tombstones.html | 9 + .../multi/multi_rebalance-listener.html | 40 + ...ulti_spring-cloud-stream-binder-kafka.html | 3 + .../2.1.0.RC2/single/css/highlight.css | 35 + .../2.1.0.RC2/single/css/manual-multipage.css | 9 + .../single/css/manual-singlepage.css | 6 + .../2.1.0.RC2/single/css/manual.css | 344 ++++++ .../2.1.0.RC2/single/images/background.png | Bin 0 -> 18255 bytes .../2.1.0.RC2/single/images/callouts/1.png | Bin 0 -> 329 bytes .../2.1.0.RC2/single/images/callouts/2.png | Bin 0 -> 353 bytes .../2.1.0.RC2/single/images/callouts/3.png | Bin 0 -> 350 bytes .../2.1.0.RC2/single/images/caution.png | Bin 0 -> 2099 bytes .../2.1.0.RC2/single/images/important.png | Bin 0 -> 2085 bytes .../2.1.0.RC2/single/images/logo.png | Bin 0 -> 4387 bytes .../2.1.0.RC2/single/images/note.png | Bin 0 -> 2257 bytes .../2.1.0.RC2/single/images/tip.png | Bin 0 -> 931 bytes .../2.1.0.RC2/single/images/warning.png | Bin 0 -> 2130 bytes .../spring-cloud-stream-binder-kafka.html | 415 +++++++ .../spring-cloud-stream-binder-kafka.xml | 1000 +++++++++++++++++ 62 files changed, 3515 insertions(+) create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/Guardfile create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/css/highlight.css create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/css/manual-multipage.css create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/css/manual-singlepage.css create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/css/manual.css create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/ghpages.sh create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/images/background.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/images/callouts/1.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/images/callouts/2.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/images/callouts/3.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/images/caution.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/images/important.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/images/kafka-binder.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/images/kafka-streams-initializr.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/images/logo.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/images/note.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/images/tip.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/images/warning.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/index.html create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/multi/css/highlight.css create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/multi/css/manual-multipage.css create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/multi/css/manual-singlepage.css create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/multi/css/manual.css create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/multi/images/background.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/multi/images/callouts/1.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/multi/images/callouts/2.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/multi/images/callouts/3.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/multi/images/caution.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/multi/images/important.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/multi/images/logo.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/multi/images/note.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/multi/images/tip.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/multi/images/warning.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/multi/multi__apache_kafka_binder_overview.html create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/multi/multi__appendices.html create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/multi/multi__configuration_options.html create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/multi/multi__partitioning_with_the_kafka_binder.html create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/multi/multi__reference_guide.html create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/multi/multi__usage.html create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/multi/multi_building.html create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/multi/multi_kafka-dlq-processing.html create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/multi/multi_kafka-error-channels.html create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/multi/multi_kafka-metrics.html create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/multi/multi_kafka-tombstones.html create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/multi/multi_rebalance-listener.html create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/multi/multi_spring-cloud-stream-binder-kafka.html create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/single/css/highlight.css create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/single/css/manual-multipage.css create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/single/css/manual-singlepage.css create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/single/css/manual.css create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/single/images/background.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/single/images/callouts/1.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/single/images/callouts/2.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/single/images/callouts/3.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/single/images/caution.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/single/images/important.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/single/images/logo.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/single/images/note.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/single/images/tip.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/single/images/warning.png create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/single/spring-cloud-stream-binder-kafka.html create mode 100644 spring-cloud-stream-binder-kafka/2.1.0.RC2/spring-cloud-stream-binder-kafka.xml diff --git a/spring-cloud-stream-binder-kafka/2.1.0.RC2/Guardfile b/spring-cloud-stream-binder-kafka/2.1.0.RC2/Guardfile new file mode 100644 index 00000000..bdd4d729 --- /dev/null +++ b/spring-cloud-stream-binder-kafka/2.1.0.RC2/Guardfile @@ -0,0 +1,20 @@ +require 'asciidoctor' +require 'erb' + +guard 'shell' do + watch(/.*\.adoc$/) {|m| + Asciidoctor.render_file('index.adoc', \ + :in_place => true, \ + :safe => Asciidoctor::SafeMode::UNSAFE, \ + :attributes=> { \ + 'source-highlighter' => 'prettify', \ + 'icons' => 'font', \ + 'linkcss'=> 'true', \ + 'copycss' => 'true', \ + 'doctype' => 'book'}) + } +end + +guard 'livereload' do + watch(%r{^.+\.(css|js|html)$}) +end diff --git a/spring-cloud-stream-binder-kafka/2.1.0.RC2/css/highlight.css b/spring-cloud-stream-binder-kafka/2.1.0.RC2/css/highlight.css new file mode 100644 index 00000000..ffefef72 --- /dev/null +++ b/spring-cloud-stream-binder-kafka/2.1.0.RC2/css/highlight.css @@ -0,0 +1,35 @@ +/* + code highlight CSS resemblign the Eclipse IDE default color schema + @author Costin Leau +*/ + +.hl-keyword { + color: #7F0055; + font-weight: bold; +} + +.hl-comment { + color: #3F5F5F; + font-style: italic; +} + +.hl-multiline-comment { + color: #3F5FBF; + font-style: italic; +} + +.hl-tag { + color: #3F7F7F; +} + +.hl-attribute { + color: #7F007F; +} + +.hl-value { + color: #2A00FF; +} + +.hl-string { + color: #2A00FF; +} \ No newline at end of file diff --git a/spring-cloud-stream-binder-kafka/2.1.0.RC2/css/manual-multipage.css b/spring-cloud-stream-binder-kafka/2.1.0.RC2/css/manual-multipage.css new file mode 100644 index 00000000..0c484531 --- /dev/null +++ b/spring-cloud-stream-binder-kafka/2.1.0.RC2/css/manual-multipage.css @@ -0,0 +1,9 @@ +@IMPORT url("manual.css"); + +body.firstpage { + background: url("../images/background.png") no-repeat center top; +} + +div.part h1 { + border-top: none; +} diff --git a/spring-cloud-stream-binder-kafka/2.1.0.RC2/css/manual-singlepage.css b/spring-cloud-stream-binder-kafka/2.1.0.RC2/css/manual-singlepage.css new file mode 100644 index 00000000..4a7fd140 --- /dev/null +++ b/spring-cloud-stream-binder-kafka/2.1.0.RC2/css/manual-singlepage.css @@ -0,0 +1,6 @@ +@IMPORT url("manual.css"); + +body { + background: url("../images/background.png") no-repeat center top; +} + diff --git a/spring-cloud-stream-binder-kafka/2.1.0.RC2/css/manual.css b/spring-cloud-stream-binder-kafka/2.1.0.RC2/css/manual.css new file mode 100644 index 00000000..0ecbe2e8 --- /dev/null +++ b/spring-cloud-stream-binder-kafka/2.1.0.RC2/css/manual.css @@ -0,0 +1,344 @@ +@IMPORT url("highlight.css"); + +html { + padding: 0pt; + margin: 0pt; +} + +body { + color: #333333; + margin: 15px 30px; + font-family: Helvetica, Arial, Freesans, Clean, Sans-serif; + line-height: 1.6; + -webkit-font-smoothing: antialiased; +} + +code { + font-size: 16px; + font-family: Consolas, "Liberation Mono", Courier, monospace; +} + +:not(a)>code { + color: #6D180B; +} + +:not(pre)>code { + background-color: #F2F2F2; + border: 1px solid #CCCCCC; + border-radius: 4px; + padding: 1px 3px 0; + text-shadow: none; + white-space: nowrap; +} + +body>*:first-child { + margin-top: 0 !important; +} + +div { + margin: 0pt; +} + +hr { + border: 1px solid #CCCCCC; + background: #CCCCCC; +} + +h1,h2,h3,h4,h5,h6 { + color: #000000; + cursor: text; + font-weight: bold; + margin: 30px 0 10px; + padding: 0; +} + +h1,h2,h3 { + margin: 40px 0 10px; +} + +h1 { + margin: 70px 0 30px; + padding-top: 20px; +} + +div.part h1 { + border-top: 1px dotted #CCCCCC; +} + +h1,h1 code { + font-size: 32px; +} + +h2,h2 code { + font-size: 24px; +} + +h3,h3 code { + font-size: 20px; +} + +h4,h1 code,h5,h5 code,h6,h6 code { + font-size: 18px; +} + +div.book,div.chapter,div.appendix,div.part,div.preface { + min-width: 300px; + max-width: 1200px; + margin: 0 auto; +} + +p.releaseinfo { + font-weight: bold; + margin-bottom: 40px; + margin-top: 40px; +} + +div.authorgroup { + line-height: 1; +} + +p.copyright { + line-height: 1; + margin-bottom: -5px; +} + +.legalnotice p { + font-style: italic; + font-size: 14px; + line-height: 1; +} + +div.titlepage+p,div.titlepage+p { + margin-top: 0; +} + +pre { + line-height: 1.0; + color: black; +} + +a { + color: #4183C4; + text-decoration: none; +} + +p { + margin: 15px 0; + text-align: left; +} + +ul,ol { + padding-left: 30px; +} + +li p { + margin: 0; +} + +div.table { + margin: 1em; + padding: 0.5em; + text-align: center; +} + +div.table table,div.informaltable table { + display: table; + width: 100%; +} + +div.table td { + padding-left: 7px; + padding-right: 7px; +} + +.sidebar { + line-height: 1.4; + padding: 0 20px; + background-color: #F8F8F8; + border: 1px solid #CCCCCC; + border-radius: 3px 3px 3px 3px; +} + +.sidebar p.title { + color: #6D180B; +} + +pre.programlisting,pre.screen { + font-size: 15px; + padding: 6px 10px; + background-color: #F8F8F8; + border: 1px solid #CCCCCC; + border-radius: 3px 3px 3px 3px; + clear: both; + overflow: auto; + line-height: 1.4; + font-family: Consolas, "Liberation Mono", Courier, monospace; +} + +table { + border-collapse: collapse; + border-spacing: 0; + border: 1px solid #DDDDDD !important; + border-radius: 4px !important; + border-collapse: separate !important; + line-height: 1.6; +} + +table thead { + background: #F5F5F5; +} + +table tr { + border: none; + border-bottom: none; +} + +table th { + font-weight: bold; +} + +table th,table td { + border: none !important; + padding: 6px 13px; +} + +table tr:nth-child(2n) { + background-color: #F8F8F8; +} + +td p { + margin: 0 0 15px 0; +} + +div.table-contents td p { + margin: 0; +} + +div.important *,div.note *,div.tip *,div.warning *,div.navheader *,div.navfooter *,div.calloutlist * + { + border: none !important; + background: none !important; + margin: 0; +} + +div.important p,div.note p,div.tip p,div.warning p { + color: #6F6F6F; + line-height: 1.6; +} + +div.important code,div.note code,div.tip code,div.warning code { + background-color: #F2F2F2 !important; + border: 1px solid #CCCCCC !important; + border-radius: 4px !important; + padding: 1px 3px 0 !important; + text-shadow: none !important; + white-space: nowrap !important; +} + +.note th,.tip th,.warning th { + display: none; +} + +.note tr:first-child td,.tip tr:first-child td,.warning tr:first-child td + { + border-right: 1px solid #CCCCCC !important; + padding-top: 10px; +} + +div.calloutlist p,div.calloutlist td { + padding: 0; + margin: 0; +} + +div.calloutlist>table>tbody>tr>td:first-child { + padding-left: 10px; + width: 30px !important; +} + +div.important,div.note,div.tip,div.warning { + margin-left: 0px !important; + margin-right: 20px !important; + margin-top: 20px; + margin-bottom: 20px; + padding-top: 10px; + padding-bottom: 10px; +} + +div.toc { + line-height: 1.2; +} + +dl,dt { + margin-top: 1px; + margin-bottom: 0; +} + +div.toc>dl>dt { + font-size: 32px; + font-weight: bold; + margin: 30px 0 10px 0; + display: block; +} + +div.toc>dl>dd>dl>dt { + font-size: 24px; + font-weight: bold; + margin: 20px 0 10px 0; + display: block; +} + +div.toc>dl>dd>dl>dd>dl>dt { + font-weight: bold; + font-size: 20px; + margin: 10px 0 0 0; +} + +tbody.footnotes * { + border: none !important; +} + +div.footnote p { + margin: 0; + line-height: 1; +} + +div.footnote p sup { + margin-right: 6px; + vertical-align: middle; +} + +div.navheader { + border-bottom: 1px solid #CCCCCC; +} + +div.navfooter { + border-top: 1px solid #CCCCCC; +} + +.title { + margin-left: -1em; + padding-left: 1em; +} + +.title>a { + position: absolute; + visibility: hidden; + display: block; + font-size: 0.85em; + margin-top: 0.05em; + margin-left: -1em; + vertical-align: text-top; + color: black; +} + +.title>a:before { + content: "\00A7"; +} + +.title:hover>a,.title>a:hover,.title:hover>a:hover { + visibility: visible; +} + +.title:focus>a,.title>a:focus,.title:focus>a:focus { + outline: 0; +} diff --git a/spring-cloud-stream-binder-kafka/2.1.0.RC2/ghpages.sh b/spring-cloud-stream-binder-kafka/2.1.0.RC2/ghpages.sh new file mode 100644 index 00000000..6795216e --- /dev/null +++ b/spring-cloud-stream-binder-kafka/2.1.0.RC2/ghpages.sh @@ -0,0 +1,330 @@ +#!/bin/bash -x + +set -e + +# Set default props like MAVEN_PATH, ROOT_FOLDER etc. +function set_default_props() { + # The script should be executed from the root folder + ROOT_FOLDER=`pwd` + echo "Current folder is ${ROOT_FOLDER}" + + if [[ ! -e "${ROOT_FOLDER}/.git" ]]; then + echo "You're not in the root folder of the project!" + exit 1 + fi + + # Prop that will let commit the changes + COMMIT_CHANGES="no" + MAVEN_PATH=${MAVEN_PATH:-} + echo "Path to Maven is [${MAVEN_PATH}]" + REPO_NAME=${PWD##*/} + echo "Repo name is [${REPO_NAME}]" + SPRING_CLOUD_STATIC_REPO=${SPRING_CLOUD_STATIC_REPO:-git@github.com:spring-cloud/spring-cloud-static.git} + echo "Spring Cloud Static repo is [${SPRING_CLOUD_STATIC_REPO}" +} + +# Check if gh-pages exists and docs have been built +function check_if_anything_to_sync() { + git remote set-url --push origin `git config remote.origin.url | sed -e 's/^git:/https:/'` + + if ! (git remote set-branches --add origin gh-pages && git fetch -q); then + echo "No gh-pages, so not syncing" + exit 0 + fi + + if ! [ -d docs/target/generated-docs ] && ! [ "${BUILD}" == "yes" ]; then + echo "No gh-pages sources in docs/target/generated-docs, so not syncing" + exit 0 + fi +} + +function retrieve_current_branch() { + # Code getting the name of the current branch. For master we want to publish as we did until now + # http://stackoverflow.com/questions/1593051/how-to-programmatically-determine-the-current-checked-out-git-branch + # If there is a branch already passed will reuse it - otherwise will try to find it + CURRENT_BRANCH=${BRANCH} + if [[ -z "${CURRENT_BRANCH}" ]] ; then + CURRENT_BRANCH=$(git symbolic-ref -q HEAD) + CURRENT_BRANCH=${CURRENT_BRANCH##refs/heads/} + CURRENT_BRANCH=${CURRENT_BRANCH:-HEAD} + fi + echo "Current branch is [${CURRENT_BRANCH}]" + git checkout ${CURRENT_BRANCH} || echo "Failed to check the branch... continuing with the script" +} + +# Switches to the provided value of the release version. We always prefix it with `v` +function switch_to_tag() { + git checkout v${VERSION} +} + +# Build the docs if switch is on +function build_docs_if_applicable() { + if [[ "${BUILD}" == "yes" ]] ; then + ./mvnw clean install -P docs -pl docs -DskipTests + fi +} + +# Get the name of the `docs.main` property +# Get whitelisted branches - assumes that a `docs` module is available under `docs` profile +function retrieve_doc_properties() { + MAIN_ADOC_VALUE=$("${MAVEN_PATH}"mvn -q \ + -Dexec.executable="echo" \ + -Dexec.args='${docs.main}' \ + --non-recursive \ + org.codehaus.mojo:exec-maven-plugin:1.3.1:exec) + echo "Extracted 'main.adoc' from Maven build [${MAIN_ADOC_VALUE}]" + + + WHITELIST_PROPERTY=${WHITELIST_PROPERTY:-"docs.whitelisted.branches"} + WHITELISTED_BRANCHES_VALUE=$("${MAVEN_PATH}"mvn -q \ + -Dexec.executable="echo" \ + -Dexec.args="\${${WHITELIST_PROPERTY}}" \ + org.codehaus.mojo:exec-maven-plugin:1.3.1:exec \ + -P docs \ + -pl docs) + echo "Extracted '${WHITELIST_PROPERTY}' from Maven build [${WHITELISTED_BRANCHES_VALUE}]" +} + +# Stash any outstanding changes +function stash_changes() { + git diff-index --quiet HEAD && dirty=$? || (echo "Failed to check if the current repo is dirty. Assuming that it is." && dirty="1") + if [ "$dirty" != "0" ]; then git stash; fi +} + +# Switch to gh-pages branch to sync it with current branch +function add_docs_from_target() { + local DESTINATION_REPO_FOLDER + if [[ -z "${DESTINATION}" && -z "${CLONE}" ]] ; then + DESTINATION_REPO_FOLDER=${ROOT_FOLDER} + elif [[ "${CLONE}" == "yes" ]]; then + mkdir -p ${ROOT_FOLDER}/target + local clonedStatic=${ROOT_FOLDER}/target/spring-cloud-static + if [[ ! -e "${clonedStatic}/.git" ]]; then + echo "Cloning Spring Cloud Static to target" + git clone ${SPRING_CLOUD_STATIC_REPO} ${clonedStatic} && git checkout gh-pages + else + echo "Spring Cloud Static already cloned - will pull changes" + cd ${clonedStatic} && git checkout gh-pages && git pull origin gh-pages + fi + DESTINATION_REPO_FOLDER=${clonedStatic}/${REPO_NAME} + mkdir -p ${DESTINATION_REPO_FOLDER} + else + if [[ ! -e "${DESTINATION}/.git" ]]; then + echo "[${DESTINATION}] is not a git repository" + exit 1 + fi + DESTINATION_REPO_FOLDER=${DESTINATION}/${REPO_NAME} + mkdir -p ${DESTINATION_REPO_FOLDER} + echo "Destination was provided [${DESTINATION}]" + fi + cd ${DESTINATION_REPO_FOLDER} + git checkout gh-pages + git pull origin gh-pages + + # Add git branches + ################################################################### + if [[ -z "${VERSION}" ]] ; then + copy_docs_for_current_version + else + copy_docs_for_provided_version + fi + commit_changes_if_applicable +} + + +# Copies the docs by using the retrieved properties from Maven build +function copy_docs_for_current_version() { + if [[ "${CURRENT_BRANCH}" == "master" ]] ; then + echo -e "Current branch is master - will copy the current docs only to the root folder" + for f in docs/target/generated-docs/*; do + file=${f#docs/target/generated-docs/*} + if ! git ls-files -i -o --exclude-standard --directory | grep -q ^$file$; then + # Not ignored... + cp -rf $f ${ROOT_FOLDER}/ + git add -A ${ROOT_FOLDER}/$file + fi + done + COMMIT_CHANGES="yes" + else + echo -e "Current branch is [${CURRENT_BRANCH}]" + # http://stackoverflow.com/questions/29300806/a-bash-script-to-check-if-a-string-is-present-in-a-comma-separated-list-of-strin + if [[ ",${WHITELISTED_BRANCHES_VALUE}," = *",${CURRENT_BRANCH},"* ]] ; then + mkdir -p ${ROOT_FOLDER}/${CURRENT_BRANCH} + echo -e "Branch [${CURRENT_BRANCH}] is whitelisted! Will copy the current docs to the [${CURRENT_BRANCH}] folder" + for f in docs/target/generated-docs/*; do + file=${f#docs/target/generated-docs/*} + if ! git ls-files -i -o --exclude-standard --directory | grep -q ^$file$; then + # Not ignored... + # We want users to access 2.0.0.BUILD-SNAPSHOT/ instead of 1.0.0.RELEASE/spring-cloud.sleuth.html + if [[ "${file}" == "${MAIN_ADOC_VALUE}.html" ]] ; then + # We don't want to copy the spring-cloud-sleuth.html + # we want it to be converted to index.html + cp -rf $f ${ROOT_FOLDER}/${CURRENT_BRANCH}/index.html + git add -A ${ROOT_FOLDER}/${CURRENT_BRANCH}/index.html + else + cp -rf $f ${ROOT_FOLDER}/${CURRENT_BRANCH} + git add -A ${ROOT_FOLDER}/${CURRENT_BRANCH}/$file + fi + fi + done + COMMIT_CHANGES="yes" + else + echo -e "Branch [${CURRENT_BRANCH}] is not on the white list! Check out the Maven [${WHITELIST_PROPERTY}] property in + [docs] module available under [docs] profile. Won't commit any changes to gh-pages for this branch." + fi + fi +} + +# Copies the docs by using the explicitly provided version +function copy_docs_for_provided_version() { + local FOLDER=${DESTINATION_REPO_FOLDER}/${VERSION} + mkdir -p ${FOLDER} + echo -e "Current tag is [v${VERSION}] Will copy the current docs to the [${FOLDER}] folder" + for f in ${ROOT_FOLDER}/docs/target/generated-docs/*; do + file=${f#${ROOT_FOLDER}/docs/target/generated-docs/*} + copy_docs_for_branch ${file} ${FOLDER} + done + COMMIT_CHANGES="yes" + CURRENT_BRANCH="v${VERSION}" +} + +# Copies the docs from target to the provided destination +# Params: +# $1 - file from target +# $2 - destination to which copy the files +function copy_docs_for_branch() { + local file=$1 + local destination=$2 + if ! git ls-files -i -o --exclude-standard --directory | grep -q ^${file}$; then + # Not ignored... + # We want users to access 2.0.0.BUILD-SNAPSHOT/ instead of 1.0.0.RELEASE/spring-cloud.sleuth.html + if [[ ("${file}" == "${MAIN_ADOC_VALUE}.html") || ("${file}" == "${REPO_NAME}.html") ]] ; then + # We don't want to copy the spring-cloud-sleuth.html + # we want it to be converted to index.html + cp -rf $f ${destination}/index.html + git add -A ${destination}/index.html + else + cp -rf $f ${destination} + git add -A ${destination}/$file + fi + fi +} + +function commit_changes_if_applicable() { + if [[ "${COMMIT_CHANGES}" == "yes" ]] ; then + COMMIT_SUCCESSFUL="no" + git commit -a -m "Sync docs from ${CURRENT_BRANCH} to gh-pages" && COMMIT_SUCCESSFUL="yes" || echo "Failed to commit changes" + + # Uncomment the following push if you want to auto push to + # the gh-pages branch whenever you commit to master locally. + # This is a little extreme. Use with care! + ################################################################### + if [[ "${COMMIT_SUCCESSFUL}" == "yes" ]] ; then + git push origin gh-pages + fi + fi +} + +# Switch back to the previous branch and exit block +function checkout_previous_branch() { + # If -version was provided we need to come back to root project + cd ${ROOT_FOLDER} + git checkout ${CURRENT_BRANCH} || echo "Failed to check the branch... continuing with the script" + if [ "$dirty" != "0" ]; then git stash pop; fi + exit 0 +} + +# Assert if properties have been properly passed +function assert_properties() { +echo "VERSION [${VERSION}], DESTINATION [${DESTINATION}], CLONE [${CLONE}]" +if [[ "${VERSION}" != "" && (-z "${DESTINATION}" && -z "${CLONE}") ]] ; then echo "Version was set but destination / clone was not!"; exit 1;fi +if [[ ("${DESTINATION}" != "" && "${CLONE}" != "") && -z "${VERSION}" ]] ; then echo "Destination / clone was set but version was not!"; exit 1;fi +if [[ "${DESTINATION}" != "" && "${CLONE}" == "yes" ]] ; then echo "Destination and clone was set. Pick one!"; exit 1;fi +} + +# Prints the usage +function print_usage() { +cat </` +- if the destination switch is passed (-d) then the script will check if the provided dir is a git repo and then will + switch to gh-pages of that repo and copy the generated docs to `docs//` + +USAGE: + +You can use the following options: + +-v|--version - the script will apply the whole procedure for a particular library version +-d|--destination - the root of destination folder where the docs should be copied. You have to use the full path. + E.g. point to spring-cloud-static folder. Can't be used with (-c) +-b|--build - will run the standard build process after checking out the branch +-c|--clone - will automatically clone the spring-cloud-static repo instead of providing the destination. + Obviously can't be used with (-d) + +EOF +} + + +# ========================================== +# ____ ____ _____ _____ _____ _______ +# / ____|/ ____| __ \|_ _| __ \__ __| +# | (___ | | | |__) | | | | |__) | | | +# \___ \| | | _ / | | | ___/ | | +# ____) | |____| | \ \ _| |_| | | | +# |_____/ \_____|_| \_\_____|_| |_| +# +# ========================================== + +while [[ $# > 0 ]] +do +key="$1" +case ${key} in + -v|--version) + VERSION="$2" + shift # past argument + ;; + -d|--destination) + DESTINATION="$2" + shift # past argument + ;; + -b|--build) + BUILD="yes" + ;; + -c|--clone) + CLONE="yes" + ;; + -h|--help) + print_usage + exit 0 + ;; + *) + echo "Invalid option: [$1]" + print_usage + exit 1 + ;; +esac +shift # past argument or value +done + +assert_properties 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2.1.0.RC2

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Pick The Documentation Option

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2. Apache Kafka Binder Overview
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2. Apache Kafka Binder Overview

The following image shows a simplified diagram of how the Apache Kafka binder operates:

Figure 2.1. Kafka Binder

kafka binder

The Apache Kafka Binder implementation maps each destination to an Apache Kafka topic. +The consumer group maps directly to the same Apache Kafka concept. +Partitioning also maps directly to Apache Kafka partitions as well.

The binder currently uses the Apache Kafka kafka-clients 1.0.0 jar and is designed to be used with a broker of at least that version. +This client can communicate with older brokers (see the Kafka documentation), but certain features may not be available. +For example, with versions earlier than 0.11.x.x, native headers are not supported. +Also, 0.11.x.x does not support the autoAddPartitions property.

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1. Usage Home 3. Configuration Options
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Part II. Appendices
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Part II. Appendices

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9. Partitioning with the Kafka Binder Home Appendix A. Building
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3. Configuration Options
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3. Configuration Options

This section contains the configuration options used by the Apache Kafka binder.

For common configuration options and properties pertaining to binder, see the core documentation.

3.1 Kafka Binder Properties

spring.cloud.stream.kafka.binder.brokers

A list of brokers to which the Kafka binder connects.

Default: localhost.

spring.cloud.stream.kafka.binder.defaultBrokerPort

brokers allows hosts specified with or without port information (for example, host1,host2:port2). +This sets the default port when no port is configured in the broker list.

Default: 9092.

spring.cloud.stream.kafka.binder.configuration

Key/Value map of client properties (both producers and consumer) passed to all clients created by the binder. +Due to the fact that these properties are used by both producers and consumers, usage should be restricted to common properties — for example, security settings. +Unknown Kafka producer or consumer properties provided through this configuration are filtered out and not allowed to propagate. +Properties here supersede any properties set in boot.

Default: Empty map.

spring.cloud.stream.kafka.binder.consumerProperties

Key/Value map of arbitrary Kafka client consumer properties. +In addition to support known Kafka consumer properties, unknown consumer properties are allowed here as well. +Properties here supersede any properties set in boot and in the configuration property above.

Default: Empty map.

spring.cloud.stream.kafka.binder.headers

The list of custom headers that are transported by the binder. +Only required when communicating with older applications (⇐ 1.3.x) with a kafka-clients version < 0.11.0.0. Newer versions support headers natively.

Default: empty.

spring.cloud.stream.kafka.binder.healthTimeout

The time to wait to get partition information, in seconds. +Health reports as down if this timer expires.

Default: 10.

spring.cloud.stream.kafka.binder.requiredAcks

The number of required acks on the broker. +See the Kafka documentation for the producer acks property.

Default: 1.

spring.cloud.stream.kafka.binder.minPartitionCount

Effective only if autoCreateTopics or autoAddPartitions is set. +The global minimum number of partitions that the binder configures on topics on which it produces or consumes data. +It can be superseded by the partitionCount setting of the producer or by the value of instanceCount * concurrency settings of the producer (if either is larger).

Default: 1.

spring.cloud.stream.kafka.binder.producerProperties

Key/Value map of arbitrary Kafka client producer properties. +In addition to support known Kafka producer properties, unknown producer properties are allowed here as well. +Properties here supersede any properties set in boot and in the configuration property above.

Default: Empty map.

spring.cloud.stream.kafka.binder.replicationFactor

The replication factor of auto-created topics if autoCreateTopics is active. +Can be overridden on each binding.

Default: 1.

spring.cloud.stream.kafka.binder.autoCreateTopics

If set to true, the binder creates new topics automatically. +If set to false, the binder relies on the topics being already configured. +In the latter case, if the topics do not exist, the binder fails to start.

[Note]Note

This setting is independent of the auto.topic.create.enable setting of the broker and does not influence it. +If the server is set to auto-create topics, they may be created as part of the metadata retrieval request, with default broker settings.

Default: true.

spring.cloud.stream.kafka.binder.autoAddPartitions

If set to true, the binder creates new partitions if required. +If set to false, the binder relies on the partition size of the topic being already configured. +If the partition count of the target topic is smaller than the expected value, the binder fails to start.

Default: false.

spring.cloud.stream.kafka.binder.transaction.transactionIdPrefix

Enables transactions in the binder. See transaction.id in the Kafka documentation and Transactions in the spring-kafka documentation. +When transactions are enabled, individual producer properties are ignored and all producers use the spring.cloud.stream.kafka.binder.transaction.producer.* properties.

Default null (no transactions)

spring.cloud.stream.kafka.binder.transaction.producer.*

Global producer properties for producers in a transactional binder. +See spring.cloud.stream.kafka.binder.transaction.transactionIdPrefix and Section 3.3, “Kafka Producer Properties” and the general producer properties supported by all binders.

Default: See individual producer properties.

spring.cloud.stream.kafka.binder.headerMapperBeanName

The bean name of a KafkaHeaderMapper used for mapping spring-messaging headers to and from Kafka headers. +Use this, for example, if you wish to customize the trusted packages in a DefaultKafkaHeaderMapper that uses JSON deserialization for the headers.

Default: none.

3.2 Kafka Consumer Properties

The following properties are available for Kafka consumers only and +must be prefixed with spring.cloud.stream.kafka.bindings.<channelName>.consumer..

admin.configuration

A Map of Kafka topic properties used when provisioning topics — for example, spring.cloud.stream.kafka.bindings.input.consumer.admin.configuration.message.format.version=0.9.0.0

Default: none.

admin.replicas-assignment

A Map<Integer, List<Integer>> of replica assignments, with the key being the partition and the value being the assignments. +Used when provisioning new topics. +See the NewTopic Javadocs in the kafka-clients jar.

Default: none.

admin.replication-factor

The replication factor to use when provisioning topics. Overrides the binder-wide setting. +Ignored if replicas-assignments is present.

Default: none (the binder-wide default of 1 is used).

autoRebalanceEnabled

When true, topic partitions is automatically rebalanced between the members of a consumer group. +When false, each consumer is assigned a fixed set of partitions based on spring.cloud.stream.instanceCount and spring.cloud.stream.instanceIndex. +This requires both the spring.cloud.stream.instanceCount and spring.cloud.stream.instanceIndex properties to be set appropriately on each launched instance. +The value of the spring.cloud.stream.instanceCount property must typically be greater than 1 in this case.

Default: true.

ackEachRecord

When autoCommitOffset is true, this setting dictates whether to commit the offset after each record is processed. +By default, offsets are committed after all records in the batch of records returned by consumer.poll() have been processed. +The number of records returned by a poll can be controlled with the max.poll.records Kafka property, which is set through the consumer configuration property. +Setting this to true may cause a degradation in performance, but doing so reduces the likelihood of redelivered records when a failure occurs. +Also, see the binder requiredAcks property, which also affects the performance of committing offsets.

Default: false.

autoCommitOffset

Whether to autocommit offsets when a message has been processed. +If set to false, a header with the key kafka_acknowledgment of the type org.springframework.kafka.support.Acknowledgment header is present in the inbound message. +Applications may use this header for acknowledging messages. +See the examples section for details. +When this property is set to false, Kafka binder sets the ack mode to org.springframework.kafka.listener.AbstractMessageListenerContainer.AckMode.MANUAL and the application is responsible for acknowledging records. +Also see ackEachRecord.

Default: true.

autoCommitOnError

Effective only if autoCommitOffset is set to true. +If set to false, it suppresses auto-commits for messages that result in errors and commits only for successful messages. It allows a stream to automatically replay from the last successfully processed message, in case of persistent failures. +If set to true, it always auto-commits (if auto-commit is enabled). +If not set (the default), it effectively has the same value as enableDlq, auto-committing erroneous messages if they are sent to a DLQ and not committing them otherwise.

Default: not set.

resetOffsets

Whether to reset offsets on the consumer to the value provided by startOffset. +Must be false if a KafkaRebalanceListener is provided; see Chapter 7, Using a KafkaRebalanceListener.

Default: false.

startOffset

The starting offset for new groups. +Allowed values: earliest and latest. +If the consumer group is set explicitly for the consumer 'binding' (through spring.cloud.stream.bindings.<channelName>.group), 'startOffset' is set to earliest. Otherwise, it is set to latest for the anonymous consumer group. +Also see resetOffsets (earlier in this list).

Default: null (equivalent to earliest).

enableDlq

When set to true, it enables DLQ behavior for the consumer. +By default, messages that result in errors are forwarded to a topic named error.<destination>.<group>. +The DLQ topic name can be configurable by setting the dlqName property. +This provides an alternative option to the more common Kafka replay scenario for the case when the number of errors is relatively small and replaying the entire original topic may be too cumbersome. +See Chapter 8, Dead-Letter Topic Processing processing for more information. +Starting with version 2.0, messages sent to the DLQ topic are enhanced with the following headers: x-original-topic, x-exception-message, and x-exception-stacktrace as byte[]. +Not allowed when destinationIsPattern is true.

Default: false.

configuration

Map with a key/value pair containing generic Kafka consumer properties. +In addition to having Kafka consumer properties, other configuration properties can be passed here. +For example some properties needed by the application such as spring.cloud.stream.kafka.bindings.input.consumer.configuration.foo=bar.

Default: Empty map.

dlqName

The name of the DLQ topic to receive the error messages.

Default: null (If not specified, messages that result in errors are forwarded to a topic named error.<destination>.<group>).

dlqProducerProperties

Using this, DLQ-specific producer properties can be set. +All the properties available through kafka producer properties can be set through this property.

Default: Default Kafka producer properties.

standardHeaders

Indicates which standard headers are populated by the inbound channel adapter. +Allowed values: none, id, timestamp, or both. +Useful if using native deserialization and the first component to receive a message needs an id (such as an aggregator that is configured to use a JDBC message store).

Default: none

converterBeanName

The name of a bean that implements RecordMessageConverter. Used in the inbound channel adapter to replace the default MessagingMessageConverter.

Default: null

idleEventInterval

The interval, in milliseconds, between events indicating that no messages have recently been received. +Use an ApplicationListener<ListenerContainerIdleEvent> to receive these events. +See Section 3.4.3, “Example: Pausing and Resuming the Consumer” for a usage example.

Default: 30000

destinationIsPattern

When true, the destination is treated as a regular expression Pattern used to match topic names by the broker. +When true, topics are not provisioned, and enableDlq is not allowed, because the binder does not know the topic names during the provisioning phase. +Note, the time taken to detect new topics that match the pattern is controlled by the consumer property metadata.max.age.ms, which (at the time of writing) defaults to 300,000ms (5 minutes). +This can be configured using the configuration property above.

Default: false

3.3 Kafka Producer Properties

The following properties are available for Kafka producers only and +must be prefixed with spring.cloud.stream.kafka.bindings.<channelName>.producer..

admin.configuration

A Map of Kafka topic properties used when provisioning new topics — for example, spring.cloud.stream.kafka.bindings.input.consumer.admin.configuration.message.format.version=0.9.0.0

Default: none.

admin.replicas-assignment

A Map<Integer, List<Integer>> of replica assignments, with the key being the partition and the value being the assignments. +Used when provisioning new topics. +See NewTopic javadocs in the kafka-clients jar.

Default: none.

admin.replication-factor

The replication factor to use when provisioning new topics. Overrides the binder-wide setting. +Ignored if replicas-assignments is present.

Default: none (the binder-wide default of 1 is used).

bufferSize

Upper limit, in bytes, of how much data the Kafka producer attempts to batch before sending.

Default: 16384.

sync

Whether the producer is synchronous.

Default: false.

batchTimeout

How long the producer waits to allow more messages to accumulate in the same batch before sending the messages. +(Normally, the producer does not wait at all and simply sends all the messages that accumulated while the previous send was in progress.) A non-zero value may increase throughput at the expense of latency.

Default: 0.

messageKeyExpression

A SpEL expression evaluated against the outgoing message used to populate the key of the produced Kafka message — for example, headers['myKey']. +The payload cannot be used because, by the time this expression is evaluated, the payload is already in the form of a byte[].

Default: none.

headerPatterns

A comma-delimited list of simple patterns to match Spring messaging headers to be mapped to the Kafka Headers in the ProducerRecord. +Patterns can begin or end with the wildcard character (asterisk). +Patterns can be negated by prefixing with !. +Matching stops after the first match (positive or negative). +For example !ask,as* will pass ash but not ask. +id and timestamp are never mapped.

Default: * (all headers - except the id and timestamp)

configuration

Map with a key/value pair containing generic Kafka producer properties.

Default: Empty map.

[Note]Note

The Kafka binder uses the partitionCount setting of the producer as a hint to create a topic with the given partition count (in conjunction with the minPartitionCount, the maximum of the two being the value being used). +Exercise caution when configuring both minPartitionCount for a binder and partitionCount for an application, as the larger value is used. +If a topic already exists with a smaller partition count and autoAddPartitions is disabled (the default), the binder fails to start. +If a topic already exists with a smaller partition count and autoAddPartitions is enabled, new partitions are added. +If a topic already exists with a larger number of partitions than the maximum of (minPartitionCount or partitionCount), the existing partition count is used.

3.4 Usage examples

In this section, we show the use of the preceding properties for specific scenarios.

3.4.1 Example: Setting autoCommitOffset to false and Relying on Manual Acking

This example illustrates how one may manually acknowledge offsets in a consumer application.

This example requires that spring.cloud.stream.kafka.bindings.input.consumer.autoCommitOffset be set to false. +Use the corresponding input channel name for your example.

@SpringBootApplication
+@EnableBinding(Sink.class)
+public class ManuallyAcknowdledgingConsumer {
+
+ public static void main(String[] args) {
+     SpringApplication.run(ManuallyAcknowdledgingConsumer.class, args);
+ }
+
+ @StreamListener(Sink.INPUT)
+ public void process(Message<?> message) {
+     Acknowledgment acknowledgment = message.getHeaders().get(KafkaHeaders.ACKNOWLEDGMENT, Acknowledgment.class);
+     if (acknowledgment != null) {
+         System.out.println("Acknowledgment provided");
+         acknowledgment.acknowledge();
+     }
+ }
+}

3.4.2 Example: Security Configuration

Apache Kafka 0.9 supports secure connections between client and brokers. +To take advantage of this feature, follow the guidelines in the Apache Kafka Documentation as well as the Kafka 0.9 security guidelines from the Confluent documentation. +Use the spring.cloud.stream.kafka.binder.configuration option to set security properties for all clients created by the binder.

For example, to set security.protocol to SASL_SSL, set the following property:

spring.cloud.stream.kafka.binder.configuration.security.protocol=SASL_SSL

All the other security properties can be set in a similar manner.

When using Kerberos, follow the instructions in the reference documentation for creating and referencing the JAAS configuration.

Spring Cloud Stream supports passing JAAS configuration information to the application by using a JAAS configuration file and using Spring Boot properties.

Using JAAS Configuration Files

The JAAS and (optionally) krb5 file locations can be set for Spring Cloud Stream applications by using system properties. +The following example shows how to launch a Spring Cloud Stream application with SASL and Kerberos by using a JAAS configuration file:

 java -Djava.security.auth.login.config=/path.to/kafka_client_jaas.conf -jar log.jar \
+   --spring.cloud.stream.kafka.binder.brokers=secure.server:9092 \
+   --spring.cloud.stream.bindings.input.destination=stream.ticktock \
+   --spring.cloud.stream.kafka.binder.configuration.security.protocol=SASL_PLAINTEXT

Using Spring Boot Properties

As an alternative to having a JAAS configuration file, Spring Cloud Stream provides a mechanism for setting up the JAAS configuration for Spring Cloud Stream applications by using Spring Boot properties.

The following properties can be used to configure the login context of the Kafka client:

spring.cloud.stream.kafka.binder.jaas.loginModule

The login module name. Not necessary to be set in normal cases.

Default: com.sun.security.auth.module.Krb5LoginModule.

spring.cloud.stream.kafka.binder.jaas.controlFlag

The control flag of the login module.

Default: required.

spring.cloud.stream.kafka.binder.jaas.options

Map with a key/value pair containing the login module options.

Default: Empty map.

The following example shows how to launch a Spring Cloud Stream application with SASL and Kerberos by using Spring Boot configuration properties:

 java --spring.cloud.stream.kafka.binder.brokers=secure.server:9092 \
+   --spring.cloud.stream.bindings.input.destination=stream.ticktock \
+   --spring.cloud.stream.kafka.binder.autoCreateTopics=false \
+   --spring.cloud.stream.kafka.binder.configuration.security.protocol=SASL_PLAINTEXT \
+   --spring.cloud.stream.kafka.binder.jaas.options.useKeyTab=true \
+   --spring.cloud.stream.kafka.binder.jaas.options.storeKey=true \
+   --spring.cloud.stream.kafka.binder.jaas.options.keyTab=/etc/security/keytabs/kafka_client.keytab \
+   --spring.cloud.stream.kafka.binder.jaas.options.principal=kafka-client-1@EXAMPLE.COM

The preceding example represents the equivalent of the following JAAS file:

KafkaClient {
+    com.sun.security.auth.module.Krb5LoginModule required
+    useKeyTab=true
+    storeKey=true
+    keyTab="/etc/security/keytabs/kafka_client.keytab"
+    principal="kafka-client-1@EXAMPLE.COM";
+};

If the topics required already exist on the broker or will be created by an administrator, autocreation can be turned off and only client JAAS properties need to be sent.

[Note]Note

Do not mix JAAS configuration files and Spring Boot properties in the same application. +If the -Djava.security.auth.login.config system property is already present, Spring Cloud Stream ignores the Spring Boot properties.

[Note]Note

Be careful when using the autoCreateTopics and autoAddPartitions with Kerberos. +Usually, applications may use principals that do not have administrative rights in Kafka and Zookeeper. +Consequently, relying on Spring Cloud Stream to create/modify topics may fail. +In secure environments, we strongly recommend creating topics and managing ACLs administratively by using Kafka tooling.

3.4.3 Example: Pausing and Resuming the Consumer

If you wish to suspend consumption but not cause a partition rebalance, you can pause and resume the consumer. +This is facilitated by adding the Consumer as a parameter to your @StreamListener. +To resume, you need an ApplicationListener for ListenerContainerIdleEvent instances. +The frequency at which events are published is controlled by the idleEventInterval property. +Since the consumer is not thread-safe, you must call these methods on the calling thread.

The following simple application shows how to pause and resume:

@SpringBootApplication
+@EnableBinding(Sink.class)
+public class Application {
+
+	public static void main(String[] args) {
+		SpringApplication.run(Application.class, args);
+	}
+
+	@StreamListener(Sink.INPUT)
+	public void in(String in, @Header(KafkaHeaders.CONSUMER) Consumer<?, ?> consumer) {
+		System.out.println(in);
+		consumer.pause(Collections.singleton(new TopicPartition("myTopic", 0)));
+	}
+
+	@Bean
+	public ApplicationListener<ListenerContainerIdleEvent> idleListener() {
+		return event -> {
+			System.out.println(event);
+			if (event.getConsumer().paused().size() > 0) {
+				event.getConsumer().resume(event.getConsumer().paused());
+			}
+		};
+	}
+
+}
Prev Up Next
2. Apache Kafka Binder Overview Home 4. Error Channels
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9. Partitioning with the Kafka Binder
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9. Partitioning with the Kafka Binder

Apache Kafka supports topic partitioning natively.

Sometimes it is advantageous to send data to specific partitions — for example, when you want to strictly order message processing (all messages for a particular customer should go to the same partition).

The following example shows how to configure the producer and consumer side:

@SpringBootApplication
+@EnableBinding(Source.class)
+public class KafkaPartitionProducerApplication {
+
+    private static final Random RANDOM = new Random(System.currentTimeMillis());
+
+    private static final String[] data = new String[] {
+            "foo1", "bar1", "qux1",
+            "foo2", "bar2", "qux2",
+            "foo3", "bar3", "qux3",
+            "foo4", "bar4", "qux4",
+            };
+
+    public static void main(String[] args) {
+        new SpringApplicationBuilder(KafkaPartitionProducerApplication.class)
+            .web(false)
+            .run(args);
+    }
+
+    @InboundChannelAdapter(channel = Source.OUTPUT, poller = @Poller(fixedRate = "5000"))
+    public Message<?> generate() {
+        String value = data[RANDOM.nextInt(data.length)];
+        System.out.println("Sending: " + value);
+        return MessageBuilder.withPayload(value)
+                .setHeader("partitionKey", value)
+                .build();
+    }
+
+}

application.yml.  +

spring:
+  cloud:
+    stream:
+      bindings:
+        output:
+          destination: partitioned.topic
+          producer:
+            partitioned: true
+            partition-key-expression: headers['partitionKey']
+            partition-count: 12

+

[Important]Important

The topic must be provisioned to have enough partitions to achieve the desired concurrency for all consumer groups. +The above configuration supports up to 12 consumer instances (6 if their concurrency is 2, 4 if their concurrency is 3, and so on). +It is generally best to “over-provision” the partitions to allow for future increases in consumers or concurrency.

[Note]Note

The preceding configuration uses the default partitioning (key.hashCode() % partitionCount). +This may or may not provide a suitably balanced algorithm, depending on the key values. +You can override this default by using the partitionSelectorExpression or partitionSelectorClass properties.

Since partitions are natively handled by Kafka, no special configuration is needed on the consumer side. +Kafka allocates partitions across the instances.

The following Spring Boot application listens to a Kafka stream and prints (to the console) the partition ID to which each message goes:

@SpringBootApplication
+@EnableBinding(Sink.class)
+public class KafkaPartitionConsumerApplication {
+
+    public static void main(String[] args) {
+        new SpringApplicationBuilder(KafkaPartitionConsumerApplication.class)
+            .web(false)
+            .run(args);
+    }
+
+    @StreamListener(Sink.INPUT)
+    public void listen(@Payload String in, @Header(KafkaHeaders.RECEIVED_PARTITION_ID) int partition) {
+        System.out.println(in + " received from partition " + partition);
+    }
+
+}

application.yml.  +

spring:
+  cloud:
+    stream:
+      bindings:
+        input:
+          destination: partitioned.topic
+          group: myGroup

+

You can add instances as needed. +Kafka rebalances the partition allocations. +If the instance count (or instance count * concurrency) exceeds the number of partitions, some consumers are idle.

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8. Dead-Letter Topic Processing Home Part II. Appendices
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Part I. Reference Guide
Prev   Next

Part I. Reference Guide

This guide describes the Apache Kafka implementation of the Spring Cloud Stream Binder. +It contains information about its design, usage, and configuration options, as well as information on how the Stream Cloud Stream concepts map onto Apache Kafka specific constructs. +In addition, this guide explains the Kafka Streams binding capabilities of Spring Cloud Stream.

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Spring Cloud Stream Kafka Binder Reference Guide Home 1. Usage
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1. Usage
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1. Usage

To use Apache Kafka binder, you need to add spring-cloud-stream-binder-kafka as a dependency to your Spring Cloud Stream application, as shown in the following example for Maven:

<dependency>
+  <groupId>org.springframework.cloud</groupId>
+  <artifactId>spring-cloud-stream-binder-kafka</artifactId>
+</dependency>

Alternatively, you can also use the Spring Cloud Stream Kafka Starter, as shown inn the following example for Maven:

<dependency>
+  <groupId>org.springframework.cloud</groupId>
+  <artifactId>spring-cloud-starter-stream-kafka</artifactId>
+</dependency>
Prev Up Next
Part I. Reference Guide Home 2. Apache Kafka Binder Overview
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Appendix A. Building
Prev Part II. Appendices 

Appendix A. Building

A.1 Basic Compile and Test

To build the source you will need to install JDK 1.7.

The build uses the Maven wrapper so you don’t have to install a specific +version of Maven. To enable the tests, you should have Kafka server 0.9 or above running +before building. See below for more information on running the servers.

The main build command is

$ ./mvnw clean install

You can also add '-DskipTests' if you like, to avoid running the tests.

[Note]Note

You can also install Maven (>=3.3.3) yourself and run the mvn command +in place of ./mvnw in the examples below. If you do that you also +might need to add -P spring if your local Maven settings do not +contain repository declarations for spring pre-release artifacts.

[Note]Note

Be aware that you might need to increase the amount of memory +available to Maven by setting a MAVEN_OPTS environment variable with +a value like -Xmx512m -XX:MaxPermSize=128m. We try to cover this in +the .mvn configuration, so if you find you have to do it to make a +build succeed, please raise a ticket to get the settings added to +source control.

The projects that require middleware generally include a +docker-compose.yml, so consider using +Docker Compose to run the middeware servers +in Docker containers.

A.2 Documentation

There is a "full" profile that will generate documentation.

A.3 Working with the code

If you don’t have an IDE preference we would recommend that you use +Spring Tools Suite or +Eclipse when working with the code. We use the +m2eclipe eclipse plugin for maven support. Other IDEs and tools +should also work without issue.

A.3.1 Importing into eclipse with m2eclipse

We recommend the m2eclipe eclipse plugin when working with +eclipse. If you don’t already have m2eclipse installed it is available from the "eclipse +marketplace".

Unfortunately m2e does not yet support Maven 3.3, so once the projects +are imported into Eclipse you will also need to tell m2eclipse to use +the .settings.xml file for the projects. If you do not do this you +may see many different errors related to the POMs in the +projects. Open your Eclipse preferences, expand the Maven +preferences, and select User Settings. In the User Settings field +click Browse and navigate to the Spring Cloud project you imported +selecting the .settings.xml file in that project. Click Apply and +then OK to save the preference changes.

[Note]Note

Alternatively you can copy the repository settings from .settings.xml into your own ~/.m2/settings.xml.

A.3.2 Importing into eclipse without m2eclipse

If you prefer not to use m2eclipse you can generate eclipse project metadata using the +following command:

$ ./mvnw eclipse:eclipse

The generated eclipse projects can be imported by selecting import existing projects +from the file menu.

[[contributing] +== Contributing

Spring Cloud is released under the non-restrictive Apache 2.0 license, +and follows a very standard Github development process, using Github +tracker for issues and merging pull requests into master. If you want +to contribute even something trivial please do not hesitate, but +follow the guidelines below.

A.4 Sign the Contributor License Agreement

Before we accept a non-trivial patch or pull request we will need you to sign the +contributor’s agreement. +Signing the contributor’s agreement does not grant anyone commit rights to the main +repository, but it does mean that we can accept your contributions, and you will get an +author credit if we do. Active contributors might be asked to join the core team, and +given the ability to merge pull requests.

A.5 Code Conventions and Housekeeping

None of these is essential for a pull request, but they will all help. They can also be +added after the original pull request but before a merge.

  • Use the Spring Framework code format conventions. If you use Eclipse +you can import formatter settings using the +eclipse-code-formatter.xml file from the +Spring +Cloud Build project. If using IntelliJ, you can use the +Eclipse Code Formatter +Plugin to import the same file.
  • Make sure all new .java files to have a simple Javadoc class comment with at least an +@author tag identifying you, and preferably at least a paragraph on what the class is +for.
  • Add the ASF license header comment to all new .java files (copy from existing files +in the project)
  • Add yourself as an @author to the .java files that you modify substantially (more +than cosmetic changes).
  • Add some Javadocs and, if you change the namespace, some XSD doc elements.
  • A few unit tests would help a lot as well — someone has to do it.
  • If no-one else is using your branch, please rebase it against the current master (or +other target branch in the main project).
  • When writing a commit message please follow these conventions, +if you are fixing an existing issue please add Fixes gh-XXXX at the end of the commit +message (where XXXX is the issue number).
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Part II. Appendices Home 
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8. Dead-Letter Topic Processing
Prev Part I. Reference Guide Next

8. Dead-Letter Topic Processing

Because you cannot anticipate how users would want to dispose of dead-lettered messages, the framework does not provide any standard mechanism to handle them. +If the reason for the dead-lettering is transient, you may wish to route the messages back to the original topic. +However, if the problem is a permanent issue, that could cause an infinite loop. +The sample Spring Boot application within this topic is an example of how to route those messages back to the original topic, but it moves them to a “parking lot” topic after three attempts. +The application is another spring-cloud-stream application that reads from the dead-letter topic. +It terminates when no messages are received for 5 seconds.

The examples assume the original destination is so8400out and the consumer group is so8400.

There are a couple of strategies to consider:

  • Consider running the rerouting only when the main application is not running. +Otherwise, the retries for transient errors are used up very quickly.
  • Alternatively, use a two-stage approach: Use this application to route to a third topic and another to route from there back to the main topic.

The following code listings show the sample application:

application.properties.  +

spring.cloud.stream.bindings.input.group=so8400replay
+spring.cloud.stream.bindings.input.destination=error.so8400out.so8400
+
+spring.cloud.stream.bindings.output.destination=so8400out
+spring.cloud.stream.bindings.output.producer.partitioned=true
+
+spring.cloud.stream.bindings.parkingLot.destination=so8400in.parkingLot
+spring.cloud.stream.bindings.parkingLot.producer.partitioned=true
+
+spring.cloud.stream.kafka.binder.configuration.auto.offset.reset=earliest
+
+spring.cloud.stream.kafka.binder.headers=x-retries

+

Application.  +

@SpringBootApplication
+@EnableBinding(TwoOutputProcessor.class)
+public class ReRouteDlqKApplication implements CommandLineRunner {
+
+    private static final String X_RETRIES_HEADER = "x-retries";
+
+    public static void main(String[] args) {
+        SpringApplication.run(ReRouteDlqKApplication.class, args).close();
+    }
+
+    private final AtomicInteger processed = new AtomicInteger();
+
+    @Autowired
+    private MessageChannel parkingLot;
+
+    @StreamListener(Processor.INPUT)
+    @SendTo(Processor.OUTPUT)
+    public Message<?> reRoute(Message<?> failed) {
+        processed.incrementAndGet();
+        Integer retries = failed.getHeaders().get(X_RETRIES_HEADER, Integer.class);
+        if (retries == null) {
+            System.out.println("First retry for " + failed);
+            return MessageBuilder.fromMessage(failed)
+                    .setHeader(X_RETRIES_HEADER, new Integer(1))
+                    .setHeader(BinderHeaders.PARTITION_OVERRIDE,
+                            failed.getHeaders().get(KafkaHeaders.RECEIVED_PARTITION_ID))
+                    .build();
+        }
+        else if (retries.intValue() < 3) {
+            System.out.println("Another retry for " + failed);
+            return MessageBuilder.fromMessage(failed)
+                    .setHeader(X_RETRIES_HEADER, new Integer(retries.intValue() + 1))
+                    .setHeader(BinderHeaders.PARTITION_OVERRIDE,
+                            failed.getHeaders().get(KafkaHeaders.RECEIVED_PARTITION_ID))
+                    .build();
+        }
+        else {
+            System.out.println("Retries exhausted for " + failed);
+            parkingLot.send(MessageBuilder.fromMessage(failed)
+                    .setHeader(BinderHeaders.PARTITION_OVERRIDE,
+                            failed.getHeaders().get(KafkaHeaders.RECEIVED_PARTITION_ID))
+                    .build());
+        }
+        return null;
+    }
+
+    @Override
+    public void run(String... args) throws Exception {
+        while (true) {
+            int count = this.processed.get();
+            Thread.sleep(5000);
+            if (count == this.processed.get()) {
+                System.out.println("Idle, terminating");
+                return;
+            }
+        }
+    }
+
+    public interface TwoOutputProcessor extends Processor {
+
+        @Output("parkingLot")
+        MessageChannel parkingLot();
+
+    }
+
+}

+

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7. Using a KafkaRebalanceListener Home 9. Partitioning with the Kafka Binder
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4. Error Channels
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4. Error Channels

Starting with version 1.3, the binder unconditionally sends exceptions to an error channel for each consumer destination and can also be configured to send async producer send failures to an error channel. +See ??? for more information.

The payload of the ErrorMessage for a send failure is a KafkaSendFailureException with properties:

  • failedMessage: The Spring Messaging Message<?> that failed to be sent.
  • record: The raw ProducerRecord that was created from the failedMessage

There is no automatic handling of producer exceptions (such as sending to a Dead-Letter queue). +You can consume these exceptions with your own Spring Integration flow.

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3. Configuration Options Home 5. Kafka Metrics
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5. Kafka Metrics
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5. Kafka Metrics

Kafka binder module exposes the following metrics:

spring.cloud.stream.binder.kafka.offset: This metric indicates how many messages have not been yet consumed from a given binder’s topic by a given consumer group. +The metrics provided are based on the Mircometer metrics library. The metric contains the consumer group information, topic and the actual lag in committed offset from the latest offset on the topic. +This metric is particularly useful for providing auto-scaling feedback to a PaaS platform.

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4. Error Channels Home 6. Tombstone Records (null record values)
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6. Tombstone Records (null record values)
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6. Tombstone Records (null record values)

When using compacted topics, a record with a null value (also called a tombstone record) represents the deletion of a key. +To receive such messages in a @StreamListener method, the parameter must be marked as not required to receive a null value argument.

@StreamListener(Sink.INPUT)
+public void in(@Header(KafkaHeaders.RECEIVED_MESSAGE_KEY) byte[] key,
+               @Payload(required = false) Customer customer) {
+    // customer is null if a tombstone record
+    ...
+}
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5. Kafka Metrics Home 7. Using a KafkaRebalanceListener
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7. Using a KafkaRebalanceListener
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7. Using a KafkaRebalanceListener

Applications may wish to seek topics/partitions to arbitrary offsets when the partitions are initially assigned, or perform other operations on the consumer. +Starting with version 2.1, if you provide a single KafkaRebalanceListener bean in the application context, it will be wired into all Kafka consumer bindings.

public interface KafkaBindingRebalanceListener {
+
+	/**
+	 * Invoked by the container before any pending offsets are committed.
+	 * @param bindingName the name of the binding.
+	 * @param consumer the consumer.
+	 * @param partitions the partitions.
+	 */
+	default void onPartitionsRevokedBeforeCommit(String bindingName, Consumer<?, ?> consumer,
+			Collection<TopicPartition> partitions) {
+
+	}
+
+	/**
+	 * Invoked by the container after any pending offsets are committed.
+	 * @param bindingName the name of the binding.
+	 * @param consumer the consumer.
+	 * @param partitions the partitions.
+	 */
+	default void onPartitionsRevokedAfterCommit(String bindingName, Consumer<?, ?> consumer, Collection<TopicPartition> partitions) {
+
+	}
+
+	/**
+	 * Invoked when partitions are initially assigned or after a rebalance.
+	 * Applications might only want to perform seek operations on an initial assignment.
+	 * @param bindingName the name of the binding.
+	 * @param consumer the consumer.
+	 * @param partitions the partitions.
+	 * @param initial true if this is the initial assignment.
+	 */
+	default void onPartitionsAssigned(String bindingName, Consumer<?, ?> consumer, Collection<TopicPartition> partitions,
+			boolean initial) {
+
+	}
+
+}

You cannot set the resetOffsets consumer property to true when you provide a rebalance listener.

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6. Tombstone Records (null record values) Home 8. Dead-Letter Topic Processing
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Spring Cloud Stream Kafka Binder Reference Guide
   Next

Spring Cloud Stream Kafka Binder Reference Guide

Sabby Anandan, Marius Bogoevici, Eric Bottard, Mark Fisher, Ilayaperumal Gopinathan, Gunnar Hillert, Mark Pollack, Patrick Peralta, Glenn Renfro, Thomas Risberg, Dave Syer, David Turanski, Janne Valkealahti, Benjamin Klein, Henryk Konsek, Gary Russell

Table of Contents

I. Reference Guide
1. Usage
2. Apache Kafka Binder Overview
3. Configuration Options
3.1. Kafka Binder Properties
3.2. Kafka Consumer Properties
3.3. Kafka Producer Properties
3.4. Usage examples
3.4.1. Example: Setting autoCommitOffset to false and Relying on Manual Acking
3.4.2. Example: Security Configuration
Using JAAS Configuration Files
Using Spring Boot Properties
3.4.3. Example: Pausing and Resuming the Consumer
4. Error Channels
5. Kafka Metrics
6. Tombstone Records (null record values)
7. Using a KafkaRebalanceListener
8. Dead-Letter Topic Processing
9. Partitioning with the Kafka Binder
II. Appendices
A. Building
A.1. Basic Compile and Test
A.2. Documentation
A.3. Working with the code
A.3.1. Importing into eclipse with m2eclipse
A.3.2. Importing into eclipse without m2eclipse
A.4. Sign the Contributor License Agreement
A.5. Code Conventions and Housekeeping
   Next
   Part I. Reference Guide
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00000000..0c484531 --- /dev/null +++ b/spring-cloud-stream-binder-kafka/2.1.0.RC2/single/css/manual-multipage.css @@ -0,0 +1,9 @@ +@IMPORT url("manual.css"); + +body.firstpage { + background: url("../images/background.png") no-repeat center top; +} + +div.part h1 { + border-top: none; +} diff --git a/spring-cloud-stream-binder-kafka/2.1.0.RC2/single/css/manual-singlepage.css b/spring-cloud-stream-binder-kafka/2.1.0.RC2/single/css/manual-singlepage.css new file mode 100644 index 00000000..4a7fd140 --- /dev/null +++ b/spring-cloud-stream-binder-kafka/2.1.0.RC2/single/css/manual-singlepage.css @@ -0,0 +1,6 @@ +@IMPORT url("manual.css"); + +body { + background: url("../images/background.png") no-repeat center top; +} + diff --git a/spring-cloud-stream-binder-kafka/2.1.0.RC2/single/css/manual.css b/spring-cloud-stream-binder-kafka/2.1.0.RC2/single/css/manual.css new file mode 100644 index 00000000..0ecbe2e8 --- /dev/null +++ b/spring-cloud-stream-binder-kafka/2.1.0.RC2/single/css/manual.css 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Spring Cloud Stream Kafka Binder Reference Guide

Sabby Anandan, Marius Bogoevici, Eric Bottard, Mark Fisher, Ilayaperumal Gopinathan, Gunnar Hillert, Mark Pollack, Patrick Peralta, Glenn Renfro, Thomas Risberg, Dave Syer, David Turanski, Janne Valkealahti, Benjamin Klein, Henryk Konsek, Gary Russell

Table of Contents

I. Reference Guide
1. Usage
2. Apache Kafka Binder Overview
3. Configuration Options
3.1. Kafka Binder Properties
3.2. Kafka Consumer Properties
3.3. Kafka Producer Properties
3.4. Usage examples
3.4.1. Example: Setting autoCommitOffset to false and Relying on Manual Acking
3.4.2. Example: Security Configuration
Using JAAS Configuration Files
Using Spring Boot Properties
3.4.3. Example: Pausing and Resuming the Consumer
4. Error Channels
5. Kafka Metrics
6. Tombstone Records (null record values)
7. Using a KafkaRebalanceListener
8. Dead-Letter Topic Processing
9. Partitioning with the Kafka Binder
II. Appendices
A. Building
A.1. Basic Compile and Test
A.2. Documentation
A.3. Working with the code
A.3.1. Importing into eclipse with m2eclipse
A.3.2. Importing into eclipse without m2eclipse
A.4. Sign the Contributor License Agreement
A.5. Code Conventions and Housekeeping

Part I. Reference Guide

This guide describes the Apache Kafka implementation of the Spring Cloud Stream Binder. +It contains information about its design, usage, and configuration options, as well as information on how the Stream Cloud Stream concepts map onto Apache Kafka specific constructs. +In addition, this guide explains the Kafka Streams binding capabilities of Spring Cloud Stream.

1. Usage

To use Apache Kafka binder, you need to add spring-cloud-stream-binder-kafka as a dependency to your Spring Cloud Stream application, as shown in the following example for Maven:

<dependency>
+  <groupId>org.springframework.cloud</groupId>
+  <artifactId>spring-cloud-stream-binder-kafka</artifactId>
+</dependency>

Alternatively, you can also use the Spring Cloud Stream Kafka Starter, as shown inn the following example for Maven:

<dependency>
+  <groupId>org.springframework.cloud</groupId>
+  <artifactId>spring-cloud-starter-stream-kafka</artifactId>
+</dependency>

2. Apache Kafka Binder Overview

The following image shows a simplified diagram of how the Apache Kafka binder operates:

Figure 2.1. Kafka Binder

kafka binder

The Apache Kafka Binder implementation maps each destination to an Apache Kafka topic. +The consumer group maps directly to the same Apache Kafka concept. +Partitioning also maps directly to Apache Kafka partitions as well.

The binder currently uses the Apache Kafka kafka-clients 1.0.0 jar and is designed to be used with a broker of at least that version. +This client can communicate with older brokers (see the Kafka documentation), but certain features may not be available. +For example, with versions earlier than 0.11.x.x, native headers are not supported. +Also, 0.11.x.x does not support the autoAddPartitions property.

3. Configuration Options

This section contains the configuration options used by the Apache Kafka binder.

For common configuration options and properties pertaining to binder, see the core documentation.

3.1 Kafka Binder Properties

spring.cloud.stream.kafka.binder.brokers

A list of brokers to which the Kafka binder connects.

Default: localhost.

spring.cloud.stream.kafka.binder.defaultBrokerPort

brokers allows hosts specified with or without port information (for example, host1,host2:port2). +This sets the default port when no port is configured in the broker list.

Default: 9092.

spring.cloud.stream.kafka.binder.configuration

Key/Value map of client properties (both producers and consumer) passed to all clients created by the binder. +Due to the fact that these properties are used by both producers and consumers, usage should be restricted to common properties — for example, security settings. +Unknown Kafka producer or consumer properties provided through this configuration are filtered out and not allowed to propagate. +Properties here supersede any properties set in boot.

Default: Empty map.

spring.cloud.stream.kafka.binder.consumerProperties

Key/Value map of arbitrary Kafka client consumer properties. +In addition to support known Kafka consumer properties, unknown consumer properties are allowed here as well. +Properties here supersede any properties set in boot and in the configuration property above.

Default: Empty map.

spring.cloud.stream.kafka.binder.headers

The list of custom headers that are transported by the binder. +Only required when communicating with older applications (⇐ 1.3.x) with a kafka-clients version < 0.11.0.0. Newer versions support headers natively.

Default: empty.

spring.cloud.stream.kafka.binder.healthTimeout

The time to wait to get partition information, in seconds. +Health reports as down if this timer expires.

Default: 10.

spring.cloud.stream.kafka.binder.requiredAcks

The number of required acks on the broker. +See the Kafka documentation for the producer acks property.

Default: 1.

spring.cloud.stream.kafka.binder.minPartitionCount

Effective only if autoCreateTopics or autoAddPartitions is set. +The global minimum number of partitions that the binder configures on topics on which it produces or consumes data. +It can be superseded by the partitionCount setting of the producer or by the value of instanceCount * concurrency settings of the producer (if either is larger).

Default: 1.

spring.cloud.stream.kafka.binder.producerProperties

Key/Value map of arbitrary Kafka client producer properties. +In addition to support known Kafka producer properties, unknown producer properties are allowed here as well. +Properties here supersede any properties set in boot and in the configuration property above.

Default: Empty map.

spring.cloud.stream.kafka.binder.replicationFactor

The replication factor of auto-created topics if autoCreateTopics is active. +Can be overridden on each binding.

Default: 1.

spring.cloud.stream.kafka.binder.autoCreateTopics

If set to true, the binder creates new topics automatically. +If set to false, the binder relies on the topics being already configured. +In the latter case, if the topics do not exist, the binder fails to start.

[Note]Note

This setting is independent of the auto.topic.create.enable setting of the broker and does not influence it. +If the server is set to auto-create topics, they may be created as part of the metadata retrieval request, with default broker settings.

Default: true.

spring.cloud.stream.kafka.binder.autoAddPartitions

If set to true, the binder creates new partitions if required. +If set to false, the binder relies on the partition size of the topic being already configured. +If the partition count of the target topic is smaller than the expected value, the binder fails to start.

Default: false.

spring.cloud.stream.kafka.binder.transaction.transactionIdPrefix

Enables transactions in the binder. See transaction.id in the Kafka documentation and Transactions in the spring-kafka documentation. +When transactions are enabled, individual producer properties are ignored and all producers use the spring.cloud.stream.kafka.binder.transaction.producer.* properties.

Default null (no transactions)

spring.cloud.stream.kafka.binder.transaction.producer.*

Global producer properties for producers in a transactional binder. +See spring.cloud.stream.kafka.binder.transaction.transactionIdPrefix and Section 3.3, “Kafka Producer Properties” and the general producer properties supported by all binders.

Default: See individual producer properties.

spring.cloud.stream.kafka.binder.headerMapperBeanName

The bean name of a KafkaHeaderMapper used for mapping spring-messaging headers to and from Kafka headers. +Use this, for example, if you wish to customize the trusted packages in a DefaultKafkaHeaderMapper that uses JSON deserialization for the headers.

Default: none.

3.2 Kafka Consumer Properties

The following properties are available for Kafka consumers only and +must be prefixed with spring.cloud.stream.kafka.bindings.<channelName>.consumer..

admin.configuration

A Map of Kafka topic properties used when provisioning topics — for example, spring.cloud.stream.kafka.bindings.input.consumer.admin.configuration.message.format.version=0.9.0.0

Default: none.

admin.replicas-assignment

A Map<Integer, List<Integer>> of replica assignments, with the key being the partition and the value being the assignments. +Used when provisioning new topics. +See the NewTopic Javadocs in the kafka-clients jar.

Default: none.

admin.replication-factor

The replication factor to use when provisioning topics. Overrides the binder-wide setting. +Ignored if replicas-assignments is present.

Default: none (the binder-wide default of 1 is used).

autoRebalanceEnabled

When true, topic partitions is automatically rebalanced between the members of a consumer group. +When false, each consumer is assigned a fixed set of partitions based on spring.cloud.stream.instanceCount and spring.cloud.stream.instanceIndex. +This requires both the spring.cloud.stream.instanceCount and spring.cloud.stream.instanceIndex properties to be set appropriately on each launched instance. +The value of the spring.cloud.stream.instanceCount property must typically be greater than 1 in this case.

Default: true.

ackEachRecord

When autoCommitOffset is true, this setting dictates whether to commit the offset after each record is processed. +By default, offsets are committed after all records in the batch of records returned by consumer.poll() have been processed. +The number of records returned by a poll can be controlled with the max.poll.records Kafka property, which is set through the consumer configuration property. +Setting this to true may cause a degradation in performance, but doing so reduces the likelihood of redelivered records when a failure occurs. +Also, see the binder requiredAcks property, which also affects the performance of committing offsets.

Default: false.

autoCommitOffset

Whether to autocommit offsets when a message has been processed. +If set to false, a header with the key kafka_acknowledgment of the type org.springframework.kafka.support.Acknowledgment header is present in the inbound message. +Applications may use this header for acknowledging messages. +See the examples section for details. +When this property is set to false, Kafka binder sets the ack mode to org.springframework.kafka.listener.AbstractMessageListenerContainer.AckMode.MANUAL and the application is responsible for acknowledging records. +Also see ackEachRecord.

Default: true.

autoCommitOnError

Effective only if autoCommitOffset is set to true. +If set to false, it suppresses auto-commits for messages that result in errors and commits only for successful messages. It allows a stream to automatically replay from the last successfully processed message, in case of persistent failures. +If set to true, it always auto-commits (if auto-commit is enabled). +If not set (the default), it effectively has the same value as enableDlq, auto-committing erroneous messages if they are sent to a DLQ and not committing them otherwise.

Default: not set.

resetOffsets

Whether to reset offsets on the consumer to the value provided by startOffset. +Must be false if a KafkaRebalanceListener is provided; see Chapter 7, Using a KafkaRebalanceListener.

Default: false.

startOffset

The starting offset for new groups. +Allowed values: earliest and latest. +If the consumer group is set explicitly for the consumer 'binding' (through spring.cloud.stream.bindings.<channelName>.group), 'startOffset' is set to earliest. Otherwise, it is set to latest for the anonymous consumer group. +Also see resetOffsets (earlier in this list).

Default: null (equivalent to earliest).

enableDlq

When set to true, it enables DLQ behavior for the consumer. +By default, messages that result in errors are forwarded to a topic named error.<destination>.<group>. +The DLQ topic name can be configurable by setting the dlqName property. +This provides an alternative option to the more common Kafka replay scenario for the case when the number of errors is relatively small and replaying the entire original topic may be too cumbersome. +See Chapter 8, Dead-Letter Topic Processing processing for more information. +Starting with version 2.0, messages sent to the DLQ topic are enhanced with the following headers: x-original-topic, x-exception-message, and x-exception-stacktrace as byte[]. +Not allowed when destinationIsPattern is true.

Default: false.

configuration

Map with a key/value pair containing generic Kafka consumer properties. +In addition to having Kafka consumer properties, other configuration properties can be passed here. +For example some properties needed by the application such as spring.cloud.stream.kafka.bindings.input.consumer.configuration.foo=bar.

Default: Empty map.

dlqName

The name of the DLQ topic to receive the error messages.

Default: null (If not specified, messages that result in errors are forwarded to a topic named error.<destination>.<group>).

dlqProducerProperties

Using this, DLQ-specific producer properties can be set. +All the properties available through kafka producer properties can be set through this property.

Default: Default Kafka producer properties.

standardHeaders

Indicates which standard headers are populated by the inbound channel adapter. +Allowed values: none, id, timestamp, or both. +Useful if using native deserialization and the first component to receive a message needs an id (such as an aggregator that is configured to use a JDBC message store).

Default: none

converterBeanName

The name of a bean that implements RecordMessageConverter. Used in the inbound channel adapter to replace the default MessagingMessageConverter.

Default: null

idleEventInterval

The interval, in milliseconds, between events indicating that no messages have recently been received. +Use an ApplicationListener<ListenerContainerIdleEvent> to receive these events. +See Section 3.4.3, “Example: Pausing and Resuming the Consumer” for a usage example.

Default: 30000

destinationIsPattern

When true, the destination is treated as a regular expression Pattern used to match topic names by the broker. +When true, topics are not provisioned, and enableDlq is not allowed, because the binder does not know the topic names during the provisioning phase. +Note, the time taken to detect new topics that match the pattern is controlled by the consumer property metadata.max.age.ms, which (at the time of writing) defaults to 300,000ms (5 minutes). +This can be configured using the configuration property above.

Default: false

3.3 Kafka Producer Properties

The following properties are available for Kafka producers only and +must be prefixed with spring.cloud.stream.kafka.bindings.<channelName>.producer..

admin.configuration

A Map of Kafka topic properties used when provisioning new topics — for example, spring.cloud.stream.kafka.bindings.input.consumer.admin.configuration.message.format.version=0.9.0.0

Default: none.

admin.replicas-assignment

A Map<Integer, List<Integer>> of replica assignments, with the key being the partition and the value being the assignments. +Used when provisioning new topics. +See NewTopic javadocs in the kafka-clients jar.

Default: none.

admin.replication-factor

The replication factor to use when provisioning new topics. Overrides the binder-wide setting. +Ignored if replicas-assignments is present.

Default: none (the binder-wide default of 1 is used).

bufferSize

Upper limit, in bytes, of how much data the Kafka producer attempts to batch before sending.

Default: 16384.

sync

Whether the producer is synchronous.

Default: false.

batchTimeout

How long the producer waits to allow more messages to accumulate in the same batch before sending the messages. +(Normally, the producer does not wait at all and simply sends all the messages that accumulated while the previous send was in progress.) A non-zero value may increase throughput at the expense of latency.

Default: 0.

messageKeyExpression

A SpEL expression evaluated against the outgoing message used to populate the key of the produced Kafka message — for example, headers['myKey']. +The payload cannot be used because, by the time this expression is evaluated, the payload is already in the form of a byte[].

Default: none.

headerPatterns

A comma-delimited list of simple patterns to match Spring messaging headers to be mapped to the Kafka Headers in the ProducerRecord. +Patterns can begin or end with the wildcard character (asterisk). +Patterns can be negated by prefixing with !. +Matching stops after the first match (positive or negative). +For example !ask,as* will pass ash but not ask. +id and timestamp are never mapped.

Default: * (all headers - except the id and timestamp)

configuration

Map with a key/value pair containing generic Kafka producer properties.

Default: Empty map.

[Note]Note

The Kafka binder uses the partitionCount setting of the producer as a hint to create a topic with the given partition count (in conjunction with the minPartitionCount, the maximum of the two being the value being used). +Exercise caution when configuring both minPartitionCount for a binder and partitionCount for an application, as the larger value is used. +If a topic already exists with a smaller partition count and autoAddPartitions is disabled (the default), the binder fails to start. +If a topic already exists with a smaller partition count and autoAddPartitions is enabled, new partitions are added. +If a topic already exists with a larger number of partitions than the maximum of (minPartitionCount or partitionCount), the existing partition count is used.

3.4 Usage examples

In this section, we show the use of the preceding properties for specific scenarios.

3.4.1 Example: Setting autoCommitOffset to false and Relying on Manual Acking

This example illustrates how one may manually acknowledge offsets in a consumer application.

This example requires that spring.cloud.stream.kafka.bindings.input.consumer.autoCommitOffset be set to false. +Use the corresponding input channel name for your example.

@SpringBootApplication
+@EnableBinding(Sink.class)
+public class ManuallyAcknowdledgingConsumer {
+
+ public static void main(String[] args) {
+     SpringApplication.run(ManuallyAcknowdledgingConsumer.class, args);
+ }
+
+ @StreamListener(Sink.INPUT)
+ public void process(Message<?> message) {
+     Acknowledgment acknowledgment = message.getHeaders().get(KafkaHeaders.ACKNOWLEDGMENT, Acknowledgment.class);
+     if (acknowledgment != null) {
+         System.out.println("Acknowledgment provided");
+         acknowledgment.acknowledge();
+     }
+ }
+}

3.4.2 Example: Security Configuration

Apache Kafka 0.9 supports secure connections between client and brokers. +To take advantage of this feature, follow the guidelines in the Apache Kafka Documentation as well as the Kafka 0.9 security guidelines from the Confluent documentation. +Use the spring.cloud.stream.kafka.binder.configuration option to set security properties for all clients created by the binder.

For example, to set security.protocol to SASL_SSL, set the following property:

spring.cloud.stream.kafka.binder.configuration.security.protocol=SASL_SSL

All the other security properties can be set in a similar manner.

When using Kerberos, follow the instructions in the reference documentation for creating and referencing the JAAS configuration.

Spring Cloud Stream supports passing JAAS configuration information to the application by using a JAAS configuration file and using Spring Boot properties.

Using JAAS Configuration Files

The JAAS and (optionally) krb5 file locations can be set for Spring Cloud Stream applications by using system properties. +The following example shows how to launch a Spring Cloud Stream application with SASL and Kerberos by using a JAAS configuration file:

 java -Djava.security.auth.login.config=/path.to/kafka_client_jaas.conf -jar log.jar \
+   --spring.cloud.stream.kafka.binder.brokers=secure.server:9092 \
+   --spring.cloud.stream.bindings.input.destination=stream.ticktock \
+   --spring.cloud.stream.kafka.binder.configuration.security.protocol=SASL_PLAINTEXT

Using Spring Boot Properties

As an alternative to having a JAAS configuration file, Spring Cloud Stream provides a mechanism for setting up the JAAS configuration for Spring Cloud Stream applications by using Spring Boot properties.

The following properties can be used to configure the login context of the Kafka client:

spring.cloud.stream.kafka.binder.jaas.loginModule

The login module name. Not necessary to be set in normal cases.

Default: com.sun.security.auth.module.Krb5LoginModule.

spring.cloud.stream.kafka.binder.jaas.controlFlag

The control flag of the login module.

Default: required.

spring.cloud.stream.kafka.binder.jaas.options

Map with a key/value pair containing the login module options.

Default: Empty map.

The following example shows how to launch a Spring Cloud Stream application with SASL and Kerberos by using Spring Boot configuration properties:

 java --spring.cloud.stream.kafka.binder.brokers=secure.server:9092 \
+   --spring.cloud.stream.bindings.input.destination=stream.ticktock \
+   --spring.cloud.stream.kafka.binder.autoCreateTopics=false \
+   --spring.cloud.stream.kafka.binder.configuration.security.protocol=SASL_PLAINTEXT \
+   --spring.cloud.stream.kafka.binder.jaas.options.useKeyTab=true \
+   --spring.cloud.stream.kafka.binder.jaas.options.storeKey=true \
+   --spring.cloud.stream.kafka.binder.jaas.options.keyTab=/etc/security/keytabs/kafka_client.keytab \
+   --spring.cloud.stream.kafka.binder.jaas.options.principal=kafka-client-1@EXAMPLE.COM

The preceding example represents the equivalent of the following JAAS file:

KafkaClient {
+    com.sun.security.auth.module.Krb5LoginModule required
+    useKeyTab=true
+    storeKey=true
+    keyTab="/etc/security/keytabs/kafka_client.keytab"
+    principal="kafka-client-1@EXAMPLE.COM";
+};

If the topics required already exist on the broker or will be created by an administrator, autocreation can be turned off and only client JAAS properties need to be sent.

[Note]Note

Do not mix JAAS configuration files and Spring Boot properties in the same application. +If the -Djava.security.auth.login.config system property is already present, Spring Cloud Stream ignores the Spring Boot properties.

[Note]Note

Be careful when using the autoCreateTopics and autoAddPartitions with Kerberos. +Usually, applications may use principals that do not have administrative rights in Kafka and Zookeeper. +Consequently, relying on Spring Cloud Stream to create/modify topics may fail. +In secure environments, we strongly recommend creating topics and managing ACLs administratively by using Kafka tooling.

3.4.3 Example: Pausing and Resuming the Consumer

If you wish to suspend consumption but not cause a partition rebalance, you can pause and resume the consumer. +This is facilitated by adding the Consumer as a parameter to your @StreamListener. +To resume, you need an ApplicationListener for ListenerContainerIdleEvent instances. +The frequency at which events are published is controlled by the idleEventInterval property. +Since the consumer is not thread-safe, you must call these methods on the calling thread.

The following simple application shows how to pause and resume:

@SpringBootApplication
+@EnableBinding(Sink.class)
+public class Application {
+
+	public static void main(String[] args) {
+		SpringApplication.run(Application.class, args);
+	}
+
+	@StreamListener(Sink.INPUT)
+	public void in(String in, @Header(KafkaHeaders.CONSUMER) Consumer<?, ?> consumer) {
+		System.out.println(in);
+		consumer.pause(Collections.singleton(new TopicPartition("myTopic", 0)));
+	}
+
+	@Bean
+	public ApplicationListener<ListenerContainerIdleEvent> idleListener() {
+		return event -> {
+			System.out.println(event);
+			if (event.getConsumer().paused().size() > 0) {
+				event.getConsumer().resume(event.getConsumer().paused());
+			}
+		};
+	}
+
+}

4. Error Channels

Starting with version 1.3, the binder unconditionally sends exceptions to an error channel for each consumer destination and can also be configured to send async producer send failures to an error channel. +See ??? for more information.

The payload of the ErrorMessage for a send failure is a KafkaSendFailureException with properties:

  • failedMessage: The Spring Messaging Message<?> that failed to be sent.
  • record: The raw ProducerRecord that was created from the failedMessage

There is no automatic handling of producer exceptions (such as sending to a Dead-Letter queue). +You can consume these exceptions with your own Spring Integration flow.

5. Kafka Metrics

Kafka binder module exposes the following metrics:

spring.cloud.stream.binder.kafka.offset: This metric indicates how many messages have not been yet consumed from a given binder’s topic by a given consumer group. +The metrics provided are based on the Mircometer metrics library. The metric contains the consumer group information, topic and the actual lag in committed offset from the latest offset on the topic. +This metric is particularly useful for providing auto-scaling feedback to a PaaS platform.

6. Tombstone Records (null record values)

When using compacted topics, a record with a null value (also called a tombstone record) represents the deletion of a key. +To receive such messages in a @StreamListener method, the parameter must be marked as not required to receive a null value argument.

@StreamListener(Sink.INPUT)
+public void in(@Header(KafkaHeaders.RECEIVED_MESSAGE_KEY) byte[] key,
+               @Payload(required = false) Customer customer) {
+    // customer is null if a tombstone record
+    ...
+}

7. Using a KafkaRebalanceListener

Applications may wish to seek topics/partitions to arbitrary offsets when the partitions are initially assigned, or perform other operations on the consumer. +Starting with version 2.1, if you provide a single KafkaRebalanceListener bean in the application context, it will be wired into all Kafka consumer bindings.

public interface KafkaBindingRebalanceListener {
+
+	/**
+	 * Invoked by the container before any pending offsets are committed.
+	 * @param bindingName the name of the binding.
+	 * @param consumer the consumer.
+	 * @param partitions the partitions.
+	 */
+	default void onPartitionsRevokedBeforeCommit(String bindingName, Consumer<?, ?> consumer,
+			Collection<TopicPartition> partitions) {
+
+	}
+
+	/**
+	 * Invoked by the container after any pending offsets are committed.
+	 * @param bindingName the name of the binding.
+	 * @param consumer the consumer.
+	 * @param partitions the partitions.
+	 */
+	default void onPartitionsRevokedAfterCommit(String bindingName, Consumer<?, ?> consumer, Collection<TopicPartition> partitions) {
+
+	}
+
+	/**
+	 * Invoked when partitions are initially assigned or after a rebalance.
+	 * Applications might only want to perform seek operations on an initial assignment.
+	 * @param bindingName the name of the binding.
+	 * @param consumer the consumer.
+	 * @param partitions the partitions.
+	 * @param initial true if this is the initial assignment.
+	 */
+	default void onPartitionsAssigned(String bindingName, Consumer<?, ?> consumer, Collection<TopicPartition> partitions,
+			boolean initial) {
+
+	}
+
+}

You cannot set the resetOffsets consumer property to true when you provide a rebalance listener.

8. Dead-Letter Topic Processing

Because you cannot anticipate how users would want to dispose of dead-lettered messages, the framework does not provide any standard mechanism to handle them. +If the reason for the dead-lettering is transient, you may wish to route the messages back to the original topic. +However, if the problem is a permanent issue, that could cause an infinite loop. +The sample Spring Boot application within this topic is an example of how to route those messages back to the original topic, but it moves them to a “parking lot” topic after three attempts. +The application is another spring-cloud-stream application that reads from the dead-letter topic. +It terminates when no messages are received for 5 seconds.

The examples assume the original destination is so8400out and the consumer group is so8400.

There are a couple of strategies to consider:

  • Consider running the rerouting only when the main application is not running. +Otherwise, the retries for transient errors are used up very quickly.
  • Alternatively, use a two-stage approach: Use this application to route to a third topic and another to route from there back to the main topic.

The following code listings show the sample application:

application.properties.  +

spring.cloud.stream.bindings.input.group=so8400replay
+spring.cloud.stream.bindings.input.destination=error.so8400out.so8400
+
+spring.cloud.stream.bindings.output.destination=so8400out
+spring.cloud.stream.bindings.output.producer.partitioned=true
+
+spring.cloud.stream.bindings.parkingLot.destination=so8400in.parkingLot
+spring.cloud.stream.bindings.parkingLot.producer.partitioned=true
+
+spring.cloud.stream.kafka.binder.configuration.auto.offset.reset=earliest
+
+spring.cloud.stream.kafka.binder.headers=x-retries

+

Application.  +

@SpringBootApplication
+@EnableBinding(TwoOutputProcessor.class)
+public class ReRouteDlqKApplication implements CommandLineRunner {
+
+    private static final String X_RETRIES_HEADER = "x-retries";
+
+    public static void main(String[] args) {
+        SpringApplication.run(ReRouteDlqKApplication.class, args).close();
+    }
+
+    private final AtomicInteger processed = new AtomicInteger();
+
+    @Autowired
+    private MessageChannel parkingLot;
+
+    @StreamListener(Processor.INPUT)
+    @SendTo(Processor.OUTPUT)
+    public Message<?> reRoute(Message<?> failed) {
+        processed.incrementAndGet();
+        Integer retries = failed.getHeaders().get(X_RETRIES_HEADER, Integer.class);
+        if (retries == null) {
+            System.out.println("First retry for " + failed);
+            return MessageBuilder.fromMessage(failed)
+                    .setHeader(X_RETRIES_HEADER, new Integer(1))
+                    .setHeader(BinderHeaders.PARTITION_OVERRIDE,
+                            failed.getHeaders().get(KafkaHeaders.RECEIVED_PARTITION_ID))
+                    .build();
+        }
+        else if (retries.intValue() < 3) {
+            System.out.println("Another retry for " + failed);
+            return MessageBuilder.fromMessage(failed)
+                    .setHeader(X_RETRIES_HEADER, new Integer(retries.intValue() + 1))
+                    .setHeader(BinderHeaders.PARTITION_OVERRIDE,
+                            failed.getHeaders().get(KafkaHeaders.RECEIVED_PARTITION_ID))
+                    .build();
+        }
+        else {
+            System.out.println("Retries exhausted for " + failed);
+            parkingLot.send(MessageBuilder.fromMessage(failed)
+                    .setHeader(BinderHeaders.PARTITION_OVERRIDE,
+                            failed.getHeaders().get(KafkaHeaders.RECEIVED_PARTITION_ID))
+                    .build());
+        }
+        return null;
+    }
+
+    @Override
+    public void run(String... args) throws Exception {
+        while (true) {
+            int count = this.processed.get();
+            Thread.sleep(5000);
+            if (count == this.processed.get()) {
+                System.out.println("Idle, terminating");
+                return;
+            }
+        }
+    }
+
+    public interface TwoOutputProcessor extends Processor {
+
+        @Output("parkingLot")
+        MessageChannel parkingLot();
+
+    }
+
+}

+

9. Partitioning with the Kafka Binder

Apache Kafka supports topic partitioning natively.

Sometimes it is advantageous to send data to specific partitions — for example, when you want to strictly order message processing (all messages for a particular customer should go to the same partition).

The following example shows how to configure the producer and consumer side:

@SpringBootApplication
+@EnableBinding(Source.class)
+public class KafkaPartitionProducerApplication {
+
+    private static final Random RANDOM = new Random(System.currentTimeMillis());
+
+    private static final String[] data = new String[] {
+            "foo1", "bar1", "qux1",
+            "foo2", "bar2", "qux2",
+            "foo3", "bar3", "qux3",
+            "foo4", "bar4", "qux4",
+            };
+
+    public static void main(String[] args) {
+        new SpringApplicationBuilder(KafkaPartitionProducerApplication.class)
+            .web(false)
+            .run(args);
+    }
+
+    @InboundChannelAdapter(channel = Source.OUTPUT, poller = @Poller(fixedRate = "5000"))
+    public Message<?> generate() {
+        String value = data[RANDOM.nextInt(data.length)];
+        System.out.println("Sending: " + value);
+        return MessageBuilder.withPayload(value)
+                .setHeader("partitionKey", value)
+                .build();
+    }
+
+}

application.yml.  +

spring:
+  cloud:
+    stream:
+      bindings:
+        output:
+          destination: partitioned.topic
+          producer:
+            partitioned: true
+            partition-key-expression: headers['partitionKey']
+            partition-count: 12

+

[Important]Important

The topic must be provisioned to have enough partitions to achieve the desired concurrency for all consumer groups. +The above configuration supports up to 12 consumer instances (6 if their concurrency is 2, 4 if their concurrency is 3, and so on). +It is generally best to “over-provision” the partitions to allow for future increases in consumers or concurrency.

[Note]Note

The preceding configuration uses the default partitioning (key.hashCode() % partitionCount). +This may or may not provide a suitably balanced algorithm, depending on the key values. +You can override this default by using the partitionSelectorExpression or partitionSelectorClass properties.

Since partitions are natively handled by Kafka, no special configuration is needed on the consumer side. +Kafka allocates partitions across the instances.

The following Spring Boot application listens to a Kafka stream and prints (to the console) the partition ID to which each message goes:

@SpringBootApplication
+@EnableBinding(Sink.class)
+public class KafkaPartitionConsumerApplication {
+
+    public static void main(String[] args) {
+        new SpringApplicationBuilder(KafkaPartitionConsumerApplication.class)
+            .web(false)
+            .run(args);
+    }
+
+    @StreamListener(Sink.INPUT)
+    public void listen(@Payload String in, @Header(KafkaHeaders.RECEIVED_PARTITION_ID) int partition) {
+        System.out.println(in + " received from partition " + partition);
+    }
+
+}

application.yml.  +

spring:
+  cloud:
+    stream:
+      bindings:
+        input:
+          destination: partitioned.topic
+          group: myGroup

+

You can add instances as needed. +Kafka rebalances the partition allocations. +If the instance count (or instance count * concurrency) exceeds the number of partitions, some consumers are idle.

Part II. Appendices

Appendix A. Building

A.1 Basic Compile and Test

To build the source you will need to install JDK 1.7.

The build uses the Maven wrapper so you don’t have to install a specific +version of Maven. To enable the tests, you should have Kafka server 0.9 or above running +before building. See below for more information on running the servers.

The main build command is

$ ./mvnw clean install

You can also add '-DskipTests' if you like, to avoid running the tests.

[Note]Note

You can also install Maven (>=3.3.3) yourself and run the mvn command +in place of ./mvnw in the examples below. If you do that you also +might need to add -P spring if your local Maven settings do not +contain repository declarations for spring pre-release artifacts.

[Note]Note

Be aware that you might need to increase the amount of memory +available to Maven by setting a MAVEN_OPTS environment variable with +a value like -Xmx512m -XX:MaxPermSize=128m. We try to cover this in +the .mvn configuration, so if you find you have to do it to make a +build succeed, please raise a ticket to get the settings added to +source control.

The projects that require middleware generally include a +docker-compose.yml, so consider using +Docker Compose to run the middeware servers +in Docker containers.

A.2 Documentation

There is a "full" profile that will generate documentation.

A.3 Working with the code

If you don’t have an IDE preference we would recommend that you use +Spring Tools Suite or +Eclipse when working with the code. We use the +m2eclipe eclipse plugin for maven support. Other IDEs and tools +should also work without issue.

A.3.1 Importing into eclipse with m2eclipse

We recommend the m2eclipe eclipse plugin when working with +eclipse. If you don’t already have m2eclipse installed it is available from the "eclipse +marketplace".

Unfortunately m2e does not yet support Maven 3.3, so once the projects +are imported into Eclipse you will also need to tell m2eclipse to use +the .settings.xml file for the projects. If you do not do this you +may see many different errors related to the POMs in the +projects. Open your Eclipse preferences, expand the Maven +preferences, and select User Settings. In the User Settings field +click Browse and navigate to the Spring Cloud project you imported +selecting the .settings.xml file in that project. Click Apply and +then OK to save the preference changes.

[Note]Note

Alternatively you can copy the repository settings from .settings.xml into your own ~/.m2/settings.xml.

A.3.2 Importing into eclipse without m2eclipse

If you prefer not to use m2eclipse you can generate eclipse project metadata using the +following command:

$ ./mvnw eclipse:eclipse

The generated eclipse projects can be imported by selecting import existing projects +from the file menu.

[[contributing] +== Contributing

Spring Cloud is released under the non-restrictive Apache 2.0 license, +and follows a very standard Github development process, using Github +tracker for issues and merging pull requests into master. If you want +to contribute even something trivial please do not hesitate, but +follow the guidelines below.

A.4 Sign the Contributor License Agreement

Before we accept a non-trivial patch or pull request we will need you to sign the +contributor’s agreement. +Signing the contributor’s agreement does not grant anyone commit rights to the main +repository, but it does mean that we can accept your contributions, and you will get an +author credit if we do. Active contributors might be asked to join the core team, and +given the ability to merge pull requests.

A.5 Code Conventions and Housekeeping

None of these is essential for a pull request, but they will all help. They can also be +added after the original pull request but before a merge.

  • Use the Spring Framework code format conventions. If you use Eclipse +you can import formatter settings using the +eclipse-code-formatter.xml file from the +Spring +Cloud Build project. If using IntelliJ, you can use the +Eclipse Code Formatter +Plugin to import the same file.
  • Make sure all new .java files to have a simple Javadoc class comment with at least an +@author tag identifying you, and preferably at least a paragraph on what the class is +for.
  • Add the ASF license header comment to all new .java files (copy from existing files +in the project)
  • Add yourself as an @author to the .java files that you modify substantially (more +than cosmetic changes).
  • Add some Javadocs and, if you change the namespace, some XSD doc elements.
  • A few unit tests would help a lot as well — someone has to do it.
  • If no-one else is using your branch, please rebase it against the current master (or +other target branch in the main project).
  • When writing a commit message please follow these conventions, +if you are fixing an existing issue please add Fixes gh-XXXX at the end of the commit +message (where XXXX is the issue number).
\ No newline at end of file diff --git a/spring-cloud-stream-binder-kafka/2.1.0.RC2/spring-cloud-stream-binder-kafka.xml b/spring-cloud-stream-binder-kafka/2.1.0.RC2/spring-cloud-stream-binder-kafka.xml new file mode 100644 index 00000000..6afb1383 --- /dev/null +++ b/spring-cloud-stream-binder-kafka/2.1.0.RC2/spring-cloud-stream-binder-kafka.xml @@ -0,0 +1,1000 @@ + + + + + +Spring Cloud Stream Kafka Binder Reference Guide +2018-11-19 + + +Sabby Anandan, Marius Bogoevici, Eric Bottard, Mark Fisher, Ilayaperumal Gopinathan, Gunnar Hillert, Mark Pollack, Patrick Peralta, Glenn Renfro, Thomas Risberg, Dave Syer, David Turanski, Janne Valkealahti, Benjamin Klein, Henryk Konsek, Gary Russell + + +S + + +Reference Guide + +This guide describes the Apache Kafka implementation of the Spring Cloud Stream Binder. +It contains information about its design, usage, and configuration options, as well as information on how the Stream Cloud Stream concepts map onto Apache Kafka specific constructs. +In addition, this guide explains the Kafka Streams binding capabilities of Spring Cloud Stream. + + +Usage +To use Apache Kafka binder, you need to add spring-cloud-stream-binder-kafka as a dependency to your Spring Cloud Stream application, as shown in the following example for Maven: +<dependency> + <groupId>org.springframework.cloud</groupId> + <artifactId>spring-cloud-stream-binder-kafka</artifactId> +</dependency> +Alternatively, you can also use the Spring Cloud Stream Kafka Starter, as shown inn the following example for Maven: +<dependency> + <groupId>org.springframework.cloud</groupId> + <artifactId>spring-cloud-starter-stream-kafka</artifactId> +</dependency> + + +Apache Kafka Binder Overview +The following image shows a simplified diagram of how the Apache Kafka binder operates: +
+Kafka Binder + + + + +kafka binder + +
+The Apache Kafka Binder implementation maps each destination to an Apache Kafka topic. +The consumer group maps directly to the same Apache Kafka concept. +Partitioning also maps directly to Apache Kafka partitions as well. +The binder currently uses the Apache Kafka kafka-clients 1.0.0 jar and is designed to be used with a broker of at least that version. +This client can communicate with older brokers (see the Kafka documentation), but certain features may not be available. +For example, with versions earlier than 0.11.x.x, native headers are not supported. +Also, 0.11.x.x does not support the autoAddPartitions property. + + +Configuration Options +This section contains the configuration options used by the Apache Kafka binder. +For common configuration options and properties pertaining to binder, see the core documentation. +
+Kafka Binder Properties + + +spring.cloud.stream.kafka.binder.brokers + +A list of brokers to which the Kafka binder connects. +Default: localhost. + + + +spring.cloud.stream.kafka.binder.defaultBrokerPort + +brokers allows hosts specified with or without port information (for example, host1,host2:port2). +This sets the default port when no port is configured in the broker list. +Default: 9092. + + + +spring.cloud.stream.kafka.binder.configuration + +Key/Value map of client properties (both producers and consumer) passed to all clients created by the binder. +Due to the fact that these properties are used by both producers and consumers, usage should be restricted to common properties — for example, security settings. +Unknown Kafka producer or consumer properties provided through this configuration are filtered out and not allowed to propagate. +Properties here supersede any properties set in boot. +Default: Empty map. + + + +spring.cloud.stream.kafka.binder.consumerProperties + +Key/Value map of arbitrary Kafka client consumer properties. +In addition to support known Kafka consumer properties, unknown consumer properties are allowed here as well. +Properties here supersede any properties set in boot and in the configuration property above. +Default: Empty map. + + + +spring.cloud.stream.kafka.binder.headers + +The list of custom headers that are transported by the binder. +Only required when communicating with older applications (⇐ 1.3.x) with a kafka-clients version < 0.11.0.0. Newer versions support headers natively. +Default: empty. + + + +spring.cloud.stream.kafka.binder.healthTimeout + +The time to wait to get partition information, in seconds. +Health reports as down if this timer expires. +Default: 10. + + + +spring.cloud.stream.kafka.binder.requiredAcks + +The number of required acks on the broker. +See the Kafka documentation for the producer acks property. +Default: 1. + + + +spring.cloud.stream.kafka.binder.minPartitionCount + +Effective only if autoCreateTopics or autoAddPartitions is set. +The global minimum number of partitions that the binder configures on topics on which it produces or consumes data. +It can be superseded by the partitionCount setting of the producer or by the value of instanceCount * concurrency settings of the producer (if either is larger). +Default: 1. + + + +spring.cloud.stream.kafka.binder.producerProperties + +Key/Value map of arbitrary Kafka client producer properties. +In addition to support known Kafka producer properties, unknown producer properties are allowed here as well. +Properties here supersede any properties set in boot and in the configuration property above. +Default: Empty map. + + + +spring.cloud.stream.kafka.binder.replicationFactor + +The replication factor of auto-created topics if autoCreateTopics is active. +Can be overridden on each binding. +Default: 1. + + + +spring.cloud.stream.kafka.binder.autoCreateTopics + +If set to true, the binder creates new topics automatically. +If set to false, the binder relies on the topics being already configured. +In the latter case, if the topics do not exist, the binder fails to start. + +This setting is independent of the auto.topic.create.enable setting of the broker and does not influence it. +If the server is set to auto-create topics, they may be created as part of the metadata retrieval request, with default broker settings. + +Default: true. + + + +spring.cloud.stream.kafka.binder.autoAddPartitions + +If set to true, the binder creates new partitions if required. +If set to false, the binder relies on the partition size of the topic being already configured. +If the partition count of the target topic is smaller than the expected value, the binder fails to start. +Default: false. + + + +spring.cloud.stream.kafka.binder.transaction.transactionIdPrefix + +Enables transactions in the binder. See transaction.id in the Kafka documentation and Transactions in the spring-kafka documentation. +When transactions are enabled, individual producer properties are ignored and all producers use the spring.cloud.stream.kafka.binder.transaction.producer.* properties. +Default null (no transactions) + + + +spring.cloud.stream.kafka.binder.transaction.producer.* + +Global producer properties for producers in a transactional binder. +See spring.cloud.stream.kafka.binder.transaction.transactionIdPrefix and and the general producer properties supported by all binders. +Default: See individual producer properties. + + + +spring.cloud.stream.kafka.binder.headerMapperBeanName + +The bean name of a KafkaHeaderMapper used for mapping spring-messaging headers to and from Kafka headers. +Use this, for example, if you wish to customize the trusted packages in a DefaultKafkaHeaderMapper that uses JSON deserialization for the headers. +Default: none. + + + +
+
+Kafka Consumer Properties +The following properties are available for Kafka consumers only and +must be prefixed with spring.cloud.stream.kafka.bindings.<channelName>.consumer.. + + +admin.configuration + +A Map of Kafka topic properties used when provisioning topics — for example, spring.cloud.stream.kafka.bindings.input.consumer.admin.configuration.message.format.version=0.9.0.0 +Default: none. + + + +admin.replicas-assignment + +A Map<Integer, List<Integer>> of replica assignments, with the key being the partition and the value being the assignments. +Used when provisioning new topics. +See the NewTopic Javadocs in the kafka-clients jar. +Default: none. + + + +admin.replication-factor + +The replication factor to use when provisioning topics. Overrides the binder-wide setting. +Ignored if replicas-assignments is present. +Default: none (the binder-wide default of 1 is used). + + + +autoRebalanceEnabled + +When true, topic partitions is automatically rebalanced between the members of a consumer group. +When false, each consumer is assigned a fixed set of partitions based on spring.cloud.stream.instanceCount and spring.cloud.stream.instanceIndex. +This requires both the spring.cloud.stream.instanceCount and spring.cloud.stream.instanceIndex properties to be set appropriately on each launched instance. +The value of the spring.cloud.stream.instanceCount property must typically be greater than 1 in this case. +Default: true. + + + +ackEachRecord + +When autoCommitOffset is true, this setting dictates whether to commit the offset after each record is processed. +By default, offsets are committed after all records in the batch of records returned by consumer.poll() have been processed. +The number of records returned by a poll can be controlled with the max.poll.records Kafka property, which is set through the consumer configuration property. +Setting this to true may cause a degradation in performance, but doing so reduces the likelihood of redelivered records when a failure occurs. +Also, see the binder requiredAcks property, which also affects the performance of committing offsets. +Default: false. + + + +autoCommitOffset + +Whether to autocommit offsets when a message has been processed. +If set to false, a header with the key kafka_acknowledgment of the type org.springframework.kafka.support.Acknowledgment header is present in the inbound message. +Applications may use this header for acknowledging messages. +See the examples section for details. +When this property is set to false, Kafka binder sets the ack mode to org.springframework.kafka.listener.AbstractMessageListenerContainer.AckMode.MANUAL and the application is responsible for acknowledging records. +Also see ackEachRecord. +Default: true. + + + +autoCommitOnError + +Effective only if autoCommitOffset is set to true. +If set to false, it suppresses auto-commits for messages that result in errors and commits only for successful messages. It allows a stream to automatically replay from the last successfully processed message, in case of persistent failures. +If set to true, it always auto-commits (if auto-commit is enabled). +If not set (the default), it effectively has the same value as enableDlq, auto-committing erroneous messages if they are sent to a DLQ and not committing them otherwise. +Default: not set. + + + +resetOffsets + +Whether to reset offsets on the consumer to the value provided by startOffset. +Must be false if a KafkaRebalanceListener is provided; see . +Default: false. + + + +startOffset + +The starting offset for new groups. +Allowed values: earliest and latest. +If the consumer group is set explicitly for the consumer 'binding' (through spring.cloud.stream.bindings.<channelName>.group), 'startOffset' is set to earliest. Otherwise, it is set to latest for the anonymous consumer group. +Also see resetOffsets (earlier in this list). +Default: null (equivalent to earliest). + + + +enableDlq + +When set to true, it enables DLQ behavior for the consumer. +By default, messages that result in errors are forwarded to a topic named error.<destination>.<group>. +The DLQ topic name can be configurable by setting the dlqName property. +This provides an alternative option to the more common Kafka replay scenario for the case when the number of errors is relatively small and replaying the entire original topic may be too cumbersome. +See processing for more information. +Starting with version 2.0, messages sent to the DLQ topic are enhanced with the following headers: x-original-topic, x-exception-message, and x-exception-stacktrace as byte[]. +Not allowed when destinationIsPattern is true. +Default: false. + + + +configuration + +Map with a key/value pair containing generic Kafka consumer properties. +In addition to having Kafka consumer properties, other configuration properties can be passed here. +For example some properties needed by the application such as spring.cloud.stream.kafka.bindings.input.consumer.configuration.foo=bar. +Default: Empty map. + + + +dlqName + +The name of the DLQ topic to receive the error messages. +Default: null (If not specified, messages that result in errors are forwarded to a topic named error.<destination>.<group>). + + + +dlqProducerProperties + +Using this, DLQ-specific producer properties can be set. +All the properties available through kafka producer properties can be set through this property. +Default: Default Kafka producer properties. + + + +standardHeaders + +Indicates which standard headers are populated by the inbound channel adapter. +Allowed values: none, id, timestamp, or both. +Useful if using native deserialization and the first component to receive a message needs an id (such as an aggregator that is configured to use a JDBC message store). +Default: none + + + +converterBeanName + +The name of a bean that implements RecordMessageConverter. Used in the inbound channel adapter to replace the default MessagingMessageConverter. +Default: null + + + +idleEventInterval + +The interval, in milliseconds, between events indicating that no messages have recently been received. +Use an ApplicationListener<ListenerContainerIdleEvent> to receive these events. +See for a usage example. +Default: 30000 + + + +destinationIsPattern + +When true, the destination is treated as a regular expression Pattern used to match topic names by the broker. +When true, topics are not provisioned, and enableDlq is not allowed, because the binder does not know the topic names during the provisioning phase. +Note, the time taken to detect new topics that match the pattern is controlled by the consumer property metadata.max.age.ms, which (at the time of writing) defaults to 300,000ms (5 minutes). +This can be configured using the configuration property above. +Default: false + + + +
+
+Kafka Producer Properties +The following properties are available for Kafka producers only and +must be prefixed with spring.cloud.stream.kafka.bindings.<channelName>.producer.. + + +admin.configuration + +A Map of Kafka topic properties used when provisioning new topics — for example, spring.cloud.stream.kafka.bindings.input.consumer.admin.configuration.message.format.version=0.9.0.0 +Default: none. + + + +admin.replicas-assignment + +A Map<Integer, List<Integer>> of replica assignments, with the key being the partition and the value being the assignments. +Used when provisioning new topics. +See NewTopic javadocs in the kafka-clients jar. +Default: none. + + + +admin.replication-factor + +The replication factor to use when provisioning new topics. Overrides the binder-wide setting. +Ignored if replicas-assignments is present. +Default: none (the binder-wide default of 1 is used). + + + +bufferSize + +Upper limit, in bytes, of how much data the Kafka producer attempts to batch before sending. +Default: 16384. + + + +sync + +Whether the producer is synchronous. +Default: false. + + + +batchTimeout + +How long the producer waits to allow more messages to accumulate in the same batch before sending the messages. +(Normally, the producer does not wait at all and simply sends all the messages that accumulated while the previous send was in progress.) A non-zero value may increase throughput at the expense of latency. +Default: 0. + + + +messageKeyExpression + +A SpEL expression evaluated against the outgoing message used to populate the key of the produced Kafka message — for example, headers['myKey']. +The payload cannot be used because, by the time this expression is evaluated, the payload is already in the form of a byte[]. +Default: none. + + + +headerPatterns + +A comma-delimited list of simple patterns to match Spring messaging headers to be mapped to the Kafka Headers in the ProducerRecord. +Patterns can begin or end with the wildcard character (asterisk). +Patterns can be negated by prefixing with !. +Matching stops after the first match (positive or negative). +For example !ask,as* will pass ash but not ask. +id and timestamp are never mapped. +Default: * (all headers - except the id and timestamp) + + + +configuration + +Map with a key/value pair containing generic Kafka producer properties. +Default: Empty map. + + + + +The Kafka binder uses the partitionCount setting of the producer as a hint to create a topic with the given partition count (in conjunction with the minPartitionCount, the maximum of the two being the value being used). +Exercise caution when configuring both minPartitionCount for a binder and partitionCount for an application, as the larger value is used. +If a topic already exists with a smaller partition count and autoAddPartitions is disabled (the default), the binder fails to start. +If a topic already exists with a smaller partition count and autoAddPartitions is enabled, new partitions are added. +If a topic already exists with a larger number of partitions than the maximum of (minPartitionCount or partitionCount), the existing partition count is used. + +
+
+Usage examples +In this section, we show the use of the preceding properties for specific scenarios. +
+Example: Setting <literal>autoCommitOffset</literal> to <literal>false</literal> and Relying on Manual Acking +This example illustrates how one may manually acknowledge offsets in a consumer application. +This example requires that spring.cloud.stream.kafka.bindings.input.consumer.autoCommitOffset be set to false. +Use the corresponding input channel name for your example. +@SpringBootApplication +@EnableBinding(Sink.class) +public class ManuallyAcknowdledgingConsumer { + + public static void main(String[] args) { + SpringApplication.run(ManuallyAcknowdledgingConsumer.class, args); + } + + @StreamListener(Sink.INPUT) + public void process(Message<?> message) { + Acknowledgment acknowledgment = message.getHeaders().get(KafkaHeaders.ACKNOWLEDGMENT, Acknowledgment.class); + if (acknowledgment != null) { + System.out.println("Acknowledgment provided"); + acknowledgment.acknowledge(); + } + } +} +
+
+Example: Security Configuration +Apache Kafka 0.9 supports secure connections between client and brokers. +To take advantage of this feature, follow the guidelines in the Apache Kafka Documentation as well as the Kafka 0.9 security guidelines from the Confluent documentation. +Use the spring.cloud.stream.kafka.binder.configuration option to set security properties for all clients created by the binder. +For example, to set security.protocol to SASL_SSL, set the following property: +spring.cloud.stream.kafka.binder.configuration.security.protocol=SASL_SSL +All the other security properties can be set in a similar manner. +When using Kerberos, follow the instructions in the reference documentation for creating and referencing the JAAS configuration. +Spring Cloud Stream supports passing JAAS configuration information to the application by using a JAAS configuration file and using Spring Boot properties. +
+Using JAAS Configuration Files +The JAAS and (optionally) krb5 file locations can be set for Spring Cloud Stream applications by using system properties. +The following example shows how to launch a Spring Cloud Stream application with SASL and Kerberos by using a JAAS configuration file: + java -Djava.security.auth.login.config=/path.to/kafka_client_jaas.conf -jar log.jar \ + --spring.cloud.stream.kafka.binder.brokers=secure.server:9092 \ + --spring.cloud.stream.bindings.input.destination=stream.ticktock \ + --spring.cloud.stream.kafka.binder.configuration.security.protocol=SASL_PLAINTEXT +
+
+Using Spring Boot Properties +As an alternative to having a JAAS configuration file, Spring Cloud Stream provides a mechanism for setting up the JAAS configuration for Spring Cloud Stream applications by using Spring Boot properties. +The following properties can be used to configure the login context of the Kafka client: + + +spring.cloud.stream.kafka.binder.jaas.loginModule + +The login module name. Not necessary to be set in normal cases. +Default: com.sun.security.auth.module.Krb5LoginModule. + + + +spring.cloud.stream.kafka.binder.jaas.controlFlag + +The control flag of the login module. +Default: required. + + + +spring.cloud.stream.kafka.binder.jaas.options + +Map with a key/value pair containing the login module options. +Default: Empty map. + + + +The following example shows how to launch a Spring Cloud Stream application with SASL and Kerberos by using Spring Boot configuration properties: + java --spring.cloud.stream.kafka.binder.brokers=secure.server:9092 \ + --spring.cloud.stream.bindings.input.destination=stream.ticktock \ + --spring.cloud.stream.kafka.binder.autoCreateTopics=false \ + --spring.cloud.stream.kafka.binder.configuration.security.protocol=SASL_PLAINTEXT \ + --spring.cloud.stream.kafka.binder.jaas.options.useKeyTab=true \ + --spring.cloud.stream.kafka.binder.jaas.options.storeKey=true \ + --spring.cloud.stream.kafka.binder.jaas.options.keyTab=/etc/security/keytabs/kafka_client.keytab \ + --spring.cloud.stream.kafka.binder.jaas.options.principal=kafka-client-1@EXAMPLE.COM +The preceding example represents the equivalent of the following JAAS file: +KafkaClient { + com.sun.security.auth.module.Krb5LoginModule required + useKeyTab=true + storeKey=true + keyTab="/etc/security/keytabs/kafka_client.keytab" + principal="kafka-client-1@EXAMPLE.COM"; +}; +If the topics required already exist on the broker or will be created by an administrator, autocreation can be turned off and only client JAAS properties need to be sent. + +Do not mix JAAS configuration files and Spring Boot properties in the same application. +If the -Djava.security.auth.login.config system property is already present, Spring Cloud Stream ignores the Spring Boot properties. + + +Be careful when using the autoCreateTopics and autoAddPartitions with Kerberos. +Usually, applications may use principals that do not have administrative rights in Kafka and Zookeeper. +Consequently, relying on Spring Cloud Stream to create/modify topics may fail. +In secure environments, we strongly recommend creating topics and managing ACLs administratively by using Kafka tooling. + +
+
+
+Example: Pausing and Resuming the Consumer +If you wish to suspend consumption but not cause a partition rebalance, you can pause and resume the consumer. +This is facilitated by adding the Consumer as a parameter to your @StreamListener. +To resume, you need an ApplicationListener for ListenerContainerIdleEvent instances. +The frequency at which events are published is controlled by the idleEventInterval property. +Since the consumer is not thread-safe, you must call these methods on the calling thread. +The following simple application shows how to pause and resume: +@SpringBootApplication +@EnableBinding(Sink.class) +public class Application { + + public static void main(String[] args) { + SpringApplication.run(Application.class, args); + } + + @StreamListener(Sink.INPUT) + public void in(String in, @Header(KafkaHeaders.CONSUMER) Consumer<?, ?> consumer) { + System.out.println(in); + consumer.pause(Collections.singleton(new TopicPartition("myTopic", 0))); + } + + @Bean + public ApplicationListener<ListenerContainerIdleEvent> idleListener() { + return event -> { + System.out.println(event); + if (event.getConsumer().paused().size() > 0) { + event.getConsumer().resume(event.getConsumer().paused()); + } + }; + } + +} +
+
+ + +Error Channels +Starting with version 1.3, the binder unconditionally sends exceptions to an error channel for each consumer destination and can also be configured to send async producer send failures to an error channel. +See for more information. +The payload of the ErrorMessage for a send failure is a KafkaSendFailureException with properties: + + +failedMessage: The Spring Messaging Message<?> that failed to be sent. + + +record: The raw ProducerRecord that was created from the failedMessage + + +There is no automatic handling of producer exceptions (such as sending to a Dead-Letter queue). +You can consume these exceptions with your own Spring Integration flow. + + +Kafka Metrics +Kafka binder module exposes the following metrics: +spring.cloud.stream.binder.kafka.offset: This metric indicates how many messages have not been yet consumed from a given binder’s topic by a given consumer group. +The metrics provided are based on the Mircometer metrics library. The metric contains the consumer group information, topic and the actual lag in committed offset from the latest offset on the topic. +This metric is particularly useful for providing auto-scaling feedback to a PaaS platform. + + +Tombstone Records (null record values) +When using compacted topics, a record with a null value (also called a tombstone record) represents the deletion of a key. +To receive such messages in a @StreamListener method, the parameter must be marked as not required to receive a null value argument. + +@StreamListener(Sink.INPUT) +public void in(@Header(KafkaHeaders.RECEIVED_MESSAGE_KEY) byte[] key, + @Payload(required = false) Customer customer) { + // customer is null if a tombstone record + ... +} + + + +Using a KafkaRebalanceListener +Applications may wish to seek topics/partitions to arbitrary offsets when the partitions are initially assigned, or perform other operations on the consumer. +Starting with version 2.1, if you provide a single KafkaRebalanceListener bean in the application context, it will be wired into all Kafka consumer bindings. + +public interface KafkaBindingRebalanceListener { + + /** + * Invoked by the container before any pending offsets are committed. + * @param bindingName the name of the binding. + * @param consumer the consumer. + * @param partitions the partitions. + */ + default void onPartitionsRevokedBeforeCommit(String bindingName, Consumer<?, ?> consumer, + Collection<TopicPartition> partitions) { + + } + + /** + * Invoked by the container after any pending offsets are committed. + * @param bindingName the name of the binding. + * @param consumer the consumer. + * @param partitions the partitions. + */ + default void onPartitionsRevokedAfterCommit(String bindingName, Consumer<?, ?> consumer, Collection<TopicPartition> partitions) { + + } + + /** + * Invoked when partitions are initially assigned or after a rebalance. + * Applications might only want to perform seek operations on an initial assignment. + * @param bindingName the name of the binding. + * @param consumer the consumer. + * @param partitions the partitions. + * @param initial true if this is the initial assignment. + */ + default void onPartitionsAssigned(String bindingName, Consumer<?, ?> consumer, Collection<TopicPartition> partitions, + boolean initial) { + + } + +} + +You cannot set the resetOffsets consumer property to true when you provide a rebalance listener. + + +Dead-Letter Topic Processing +Because you cannot anticipate how users would want to dispose of dead-lettered messages, the framework does not provide any standard mechanism to handle them. +If the reason for the dead-lettering is transient, you may wish to route the messages back to the original topic. +However, if the problem is a permanent issue, that could cause an infinite loop. +The sample Spring Boot application within this topic is an example of how to route those messages back to the original topic, but it moves them to a parking lot topic after three attempts. +The application is another spring-cloud-stream application that reads from the dead-letter topic. +It terminates when no messages are received for 5 seconds. +The examples assume the original destination is so8400out and the consumer group is so8400. +There are a couple of strategies to consider: + + +Consider running the rerouting only when the main application is not running. +Otherwise, the retries for transient errors are used up very quickly. + + +Alternatively, use a two-stage approach: Use this application to route to a third topic and another to route from there back to the main topic. + + +The following code listings show the sample application: + +application.properties + +spring.cloud.stream.bindings.input.group=so8400replay +spring.cloud.stream.bindings.input.destination=error.so8400out.so8400 + +spring.cloud.stream.bindings.output.destination=so8400out +spring.cloud.stream.bindings.output.producer.partitioned=true + +spring.cloud.stream.bindings.parkingLot.destination=so8400in.parkingLot +spring.cloud.stream.bindings.parkingLot.producer.partitioned=true + +spring.cloud.stream.kafka.binder.configuration.auto.offset.reset=earliest + +spring.cloud.stream.kafka.binder.headers=x-retries + + + +Application + +@SpringBootApplication +@EnableBinding(TwoOutputProcessor.class) +public class ReRouteDlqKApplication implements CommandLineRunner { + + private static final String X_RETRIES_HEADER = "x-retries"; + + public static void main(String[] args) { + SpringApplication.run(ReRouteDlqKApplication.class, args).close(); + } + + private final AtomicInteger processed = new AtomicInteger(); + + @Autowired + private MessageChannel parkingLot; + + @StreamListener(Processor.INPUT) + @SendTo(Processor.OUTPUT) + public Message<?> reRoute(Message<?> failed) { + processed.incrementAndGet(); + Integer retries = failed.getHeaders().get(X_RETRIES_HEADER, Integer.class); + if (retries == null) { + System.out.println("First retry for " + failed); + return MessageBuilder.fromMessage(failed) + .setHeader(X_RETRIES_HEADER, new Integer(1)) + .setHeader(BinderHeaders.PARTITION_OVERRIDE, + failed.getHeaders().get(KafkaHeaders.RECEIVED_PARTITION_ID)) + .build(); + } + else if (retries.intValue() < 3) { + System.out.println("Another retry for " + failed); + return MessageBuilder.fromMessage(failed) + .setHeader(X_RETRIES_HEADER, new Integer(retries.intValue() + 1)) + .setHeader(BinderHeaders.PARTITION_OVERRIDE, + failed.getHeaders().get(KafkaHeaders.RECEIVED_PARTITION_ID)) + .build(); + } + else { + System.out.println("Retries exhausted for " + failed); + parkingLot.send(MessageBuilder.fromMessage(failed) + .setHeader(BinderHeaders.PARTITION_OVERRIDE, + failed.getHeaders().get(KafkaHeaders.RECEIVED_PARTITION_ID)) + .build()); + } + return null; + } + + @Override + public void run(String... args) throws Exception { + while (true) { + int count = this.processed.get(); + Thread.sleep(5000); + if (count == this.processed.get()) { + System.out.println("Idle, terminating"); + return; + } + } + } + + public interface TwoOutputProcessor extends Processor { + + @Output("parkingLot") + MessageChannel parkingLot(); + + } + +} + + + + +Partitioning with the Kafka Binder +Apache Kafka supports topic partitioning natively. +Sometimes it is advantageous to send data to specific partitions — for example, when you want to strictly order message processing (all messages for a particular customer should go to the same partition). +The following example shows how to configure the producer and consumer side: +@SpringBootApplication +@EnableBinding(Source.class) +public class KafkaPartitionProducerApplication { + + private static final Random RANDOM = new Random(System.currentTimeMillis()); + + private static final String[] data = new String[] { + "foo1", "bar1", "qux1", + "foo2", "bar2", "qux2", + "foo3", "bar3", "qux3", + "foo4", "bar4", "qux4", + }; + + public static void main(String[] args) { + new SpringApplicationBuilder(KafkaPartitionProducerApplication.class) + .web(false) + .run(args); + } + + @InboundChannelAdapter(channel = Source.OUTPUT, poller = @Poller(fixedRate = "5000")) + public Message<?> generate() { + String value = data[RANDOM.nextInt(data.length)]; + System.out.println("Sending: " + value); + return MessageBuilder.withPayload(value) + .setHeader("partitionKey", value) + .build(); + } + +} + +application.yml + +spring: + cloud: + stream: + bindings: + output: + destination: partitioned.topic + producer: + partitioned: true + partition-key-expression: headers['partitionKey'] + partition-count: 12 + + + +The topic must be provisioned to have enough partitions to achieve the desired concurrency for all consumer groups. +The above configuration supports up to 12 consumer instances (6 if their concurrency is 2, 4 if their concurrency is 3, and so on). +It is generally best to over-provision the partitions to allow for future increases in consumers or concurrency. + + +The preceding configuration uses the default partitioning (key.hashCode() % partitionCount). +This may or may not provide a suitably balanced algorithm, depending on the key values. +You can override this default by using the partitionSelectorExpression or partitionSelectorClass properties. + +Since partitions are natively handled by Kafka, no special configuration is needed on the consumer side. +Kafka allocates partitions across the instances. +The following Spring Boot application listens to a Kafka stream and prints (to the console) the partition ID to which each message goes: +@SpringBootApplication +@EnableBinding(Sink.class) +public class KafkaPartitionConsumerApplication { + + public static void main(String[] args) { + new SpringApplicationBuilder(KafkaPartitionConsumerApplication.class) + .web(false) + .run(args); + } + + @StreamListener(Sink.INPUT) + public void listen(@Payload String in, @Header(KafkaHeaders.RECEIVED_PARTITION_ID) int partition) { + System.out.println(in + " received from partition " + partition); + } + +} + +application.yml + +spring: + cloud: + stream: + bindings: + input: + destination: partitioned.topic + group: myGroup + + +You can add instances as needed. +Kafka rebalances the partition allocations. +If the instance count (or instance count * concurrency) exceeds the number of partitions, some consumers are idle. + + + +Appendices + +Building +
+Basic Compile and Test +To build the source you will need to install JDK 1.7. +The build uses the Maven wrapper so you don’t have to install a specific +version of Maven. To enable the tests, you should have Kafka server 0.9 or above running +before building. See below for more information on running the servers. +The main build command is +$ ./mvnw clean install +You can also add '-DskipTests' if you like, to avoid running the tests. + +You can also install Maven (>=3.3.3) yourself and run the mvn command +in place of ./mvnw in the examples below. If you do that you also +might need to add -P spring if your local Maven settings do not +contain repository declarations for spring pre-release artifacts. + + +Be aware that you might need to increase the amount of memory +available to Maven by setting a MAVEN_OPTS environment variable with +a value like -Xmx512m -XX:MaxPermSize=128m. We try to cover this in +the .mvn configuration, so if you find you have to do it to make a +build succeed, please raise a ticket to get the settings added to +source control. + +The projects that require middleware generally include a +docker-compose.yml, so consider using +Docker Compose to run the middeware servers +in Docker containers. +
+
+Documentation +There is a "full" profile that will generate documentation. +
+
+Working with the code +If you don’t have an IDE preference we would recommend that you use +Spring Tools Suite or +Eclipse when working with the code. We use the +m2eclipe eclipse plugin for maven support. Other IDEs and tools +should also work without issue. +
+Importing into eclipse with m2eclipse +We recommend the m2eclipe eclipse plugin when working with +eclipse. If you don’t already have m2eclipse installed it is available from the "eclipse +marketplace". +Unfortunately m2e does not yet support Maven 3.3, so once the projects +are imported into Eclipse you will also need to tell m2eclipse to use +the .settings.xml file for the projects. If you do not do this you +may see many different errors related to the POMs in the +projects. Open your Eclipse preferences, expand the Maven +preferences, and select User Settings. In the User Settings field +click Browse and navigate to the Spring Cloud project you imported +selecting the .settings.xml file in that project. Click Apply and +then OK to save the preference changes. + +Alternatively you can copy the repository settings from .settings.xml into your own ~/.m2/settings.xml. + +
+
+Importing into eclipse without m2eclipse +If you prefer not to use m2eclipse you can generate eclipse project metadata using the +following command: +$ ./mvnw eclipse:eclipse +The generated eclipse projects can be imported by selecting import existing projects +from the file menu. +[[contributing] +== Contributing +Spring Cloud is released under the non-restrictive Apache 2.0 license, +and follows a very standard Github development process, using Github +tracker for issues and merging pull requests into master. If you want +to contribute even something trivial please do not hesitate, but +follow the guidelines below. +
+
+
+Sign the Contributor License Agreement +Before we accept a non-trivial patch or pull request we will need you to sign the +contributor’s agreement. +Signing the contributor’s agreement does not grant anyone commit rights to the main +repository, but it does mean that we can accept your contributions, and you will get an +author credit if we do. Active contributors might be asked to join the core team, and +given the ability to merge pull requests. +
+
+Code Conventions and Housekeeping +None of these is essential for a pull request, but they will all help. They can also be +added after the original pull request but before a merge. + + +Use the Spring Framework code format conventions. If you use Eclipse +you can import formatter settings using the +eclipse-code-formatter.xml file from the +Spring +Cloud Build project. If using IntelliJ, you can use the +Eclipse Code Formatter +Plugin to import the same file. + + +Make sure all new .java files to have a simple Javadoc class comment with at least an +@author tag identifying you, and preferably at least a paragraph on what the class is +for. + + +Add the ASF license header comment to all new .java files (copy from existing files +in the project) + + +Add yourself as an @author to the .java files that you modify substantially (more +than cosmetic changes). + + +Add some Javadocs and, if you change the namespace, some XSD doc elements. + + +A few unit tests would help a lot as well — someone has to do it. + + +If no-one else is using your branch, please rebase it against the current master (or +other target branch in the main project). + + +When writing a commit message please follow these conventions, +if you are fixing an existing issue please add Fixes gh-XXXX at the end of the commit +message (where XXXX is the issue number). + + +
+ + + \ No newline at end of file