Add new analytics category
Add twitter-analytics sample Update `admin-local` references with `server-local`
This commit is contained in:
Sabby Anandan
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README.adoc
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README.adoc
@@ -6,12 +6,18 @@ This repository provides sample starter applications and code for use with the S
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### link:streaming/http-to-cassandra/README.adoc[http-cassandra]
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A data pipeline demonstration that consumes data from an `http` endpoint and writes the payload to Cassandra database using the `cassandra` sink.
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A data pipeline demonstration that consumes data from an `http` endpoint and writes the payload to Cassandra database using the `cassandra` sink application.
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### link:streaming/http-to-mysql/README.adoc[http-mysql]
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A data pipeline demonstration that consumes data from an `http` endpoint and writes the payload to MySQL database using the `jdbc` sink.
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A data pipeline demonstration that consumes data from an `http` endpoint and writes the payload to MySQL database using the `jdbc` sink application.
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## Task / Batch
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## Analytics
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### link:analytics/twitter-analytics/README.adoc[twitter-analytics]
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A data pipeline demonstration that consumes data from twitter-firehose using `twitterstream` source application and computes simple analytics over data-in-trasnsit with the help of `field-value-counter` sink application.
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## Data Science
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analytics/twitter-analytics/README.adoc
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analytics/twitter-analytics/README.adoc
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:sectnums:
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= Twitter Analytics
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In this demonstration, you will learn how to orchestrate a data pipeline using http://cloud.spring.io/spring-cloud-dataflow/[Spring Cloud Data Flow] to consume data from _TwitterStream_ and compute simple analytics over data-in-transit using _Field-Value-Counter_.
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We will begin by discussing the steps to prep, configure and operationalize Spring Cloud Data Flow's `local-server`, a Spring Boot application.
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== Using Local SPI
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=== Prerequisites
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In order to get started, make sure that you have the following components:
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* Local build of link:https://github.com/spring-cloud/spring-cloud-dataflow[Spring Cloud Data Flow]
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* Running instance of link:http://redis.io/[Redis]
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* Twitter credentials from link:https://apps.twitter.com/[Twitter Developers] site
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=== Running the Sample Locally
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. Launch the `local-server`
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```
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$ cd <PATH/TO/SPRING-CLOUD-DATAFLOW>
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$ java -jar spring-cloud-dataflow-server-local/target/spring-cloud-dataflow-server-local-1.0.0.BUILD-SNAPSHOT.jar
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```
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. Connect to Spring Cloud Data Flow's `shell`
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```
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$ cd <PATH/TO/SPRING-CLOUD-DATAFLOW>
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$ java -jar spring-cloud-dataflow-shell/target/spring-cloud-dataflow-shell-1.0.0.BUILD-SNAPSHOT.jar
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____ ____ _ __
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/ ___| _ __ _ __(_)_ __ __ _ / ___| | ___ _ _ __| |
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\___ \| '_ \| '__| | '_ \ / _` | | | | |/ _ \| | | |/ _` |
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___) | |_) | | | | | | | (_| | | |___| | (_) | |_| | (_| |
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|____/| .__/|_| |_|_| |_|\__, | \____|_|\___/ \__,_|\__,_|
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____ |_| _ __|___/ __________
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| _ \ __ _| |_ __ _ | ___| | _____ __ \ \ \ \ \ \
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| | | |/ _` | __/ _` | | |_ | |/ _ \ \ /\ / / \ \ \ \ \ \
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| |_| | (_| | || (_| | | _| | | (_) \ V V / / / / / / /
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|____/ \__,_|\__\__,_| |_| |_|\___/ \_/\_/ /_/_/_/_/_/
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1.0.0.BUILD-SNAPSHOT
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Welcome to the Spring Cloud Data Flow shell. For assistance hit TAB or type "help".
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dataflow:>version
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1.0.0.BUILD-SNAPSHOT
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```
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. Create and deploy the following streams
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```
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(1) dataflow:>stream create tweets --definition "twitterstream --consumerKey=<CONSUMER_KEY> --consumerSecret=<CONSUMER_SECRET> --accessToken=<ACCESS_TOKEN> --accessTokenSecret=<ACCESS_TOKEN_SECRET> | log"
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Created new stream 'tweets'
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(2) dataflow:>stream create tweetlang --definition ":tweets.twitterstream > field-value-counter --fieldName=lang --name=language --store=redis" --deploy
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Created and deployed new stream 'tweetlang'
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(3) dataflow:>stream create tagcount --definition ":tweets.twitterstream > field-value-counter --fieldName=entities.hashtags.text --name=hashtags --store=redis" --deploy
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Created and deployed new stream 'tagcount'
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(4) dataflow:>stream deploy tweets
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Deployed stream 'tweets'
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```
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NOTE: To get a consumerKey and consumerSecret you need to register a twitter application. If you don’t already have one set up, you can create an app at the link:https://apps.twitter.com/[Twitter Developers] site to get these credentials. The tokens `<CONSUMER_KEY>`, `<CONSUMER_SECRET>`, `<CONSUMER_SECRET>`, and `<ACCESS_TOKEN_SECRET>` are required to be replaced with your account credentials.
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. Verify the streams are successfully deployed. Where: (1) is the primary pipeline; (2) and (3) are tapping the primary pipeline with the DSL syntax `<stream-name>.<label/app name>` [e.x. `:tweets.twitterstream`]; and (4) is the final deployment of primary pipeline
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```
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dataflow:>stream list
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```
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. Notice that `tweetlang.field-value-counter`, `tagcount.field-value-counter`, `tweets.log` and `tweets.twitterstream` link:https://github.com/spring-cloud/spring-cloud-stream-modules/[Spring Cloud Stream] applications are running as Spring Boot applications within the `local-server`.
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```
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2016-02-16 11:43:26.174 INFO 10189 --- [nio-9393-exec-2] o.s.c.d.d.l.OutOfProcessModuleDeployer : deploying module org.springframework.cloud.stream.module:field-value-counter-sink:jar:exec:1.0.0.BUILD-SNAPSHOT instance 0
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Logs will be in /var/folders/c3/ctx7_rns6x30tq7rb76wzqwr0000gp/T/spring-cloud-data-flow-6990537012958280418/tweetlang-1455651806160/tweetlang.field-value-counter
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2016-02-16 11:43:26.206 INFO 10189 --- [nio-9393-exec-3] o.s.c.d.d.l.OutOfProcessModuleDeployer : deploying module org.springframework.cloud.stream.module:field-value-counter-sink:jar:exec:1.0.0.BUILD-SNAPSHOT instance 0
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Logs will be in /var/folders/c3/ctx7_rns6x30tq7rb76wzqwr0000gp/T/spring-cloud-data-flow-6990537012958280418/tagcount-1455651806202/tagcount.field-value-counter
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2016-02-16 11:43:26.806 INFO 10189 --- [nio-9393-exec-4] o.s.c.d.d.l.OutOfProcessModuleDeployer : deploying module org.springframework.cloud.stream.module:log-sink:jar:exec:1.0.0.BUILD-SNAPSHOT instance 0
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Logs will be in /var/folders/c3/ctx7_rns6x30tq7rb76wzqwr0000gp/T/spring-cloud-data-flow-6990537012958280418/tweets-1455651806800/tweets.log
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2016-02-16 11:43:26.813 INFO 10189 --- [nio-9393-exec-4] o.s.c.d.d.l.OutOfProcessModuleDeployer : deploying module org.springframework.cloud.stream.module:twitterstream-source:jar:exec:1.0.0.BUILD-SNAPSHOT instance 0
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Logs will be in /var/folders/c3/ctx7_rns6x30tq7rb76wzqwr0000gp/T/spring-cloud-data-flow-6990537012958280418/tweets-1455651806800/tweets.twitterstream
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```
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. Verify that two `field-value-counter` with the names `hashtags` and `language` is listing successfully
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```
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dataflow:>field-value-counter list
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╔════════════════════════╗
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║Field Value Counter name║
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╠════════════════════════╣
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║hashtags ║
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║language ║
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╚════════════════════════╝
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```
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. Verify you can query individual `field-value-counter` results successfully
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```
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dataflow:>field-value-counter display hashtags
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Displaying values for field value counter 'hashtags'
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╔══════════════════════════════════════╤═════╗
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║ Value │Count║
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╠══════════════════════════════════════╪═════╣
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║KCA │ 40║
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║PENNYSTOCKS │ 17║
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║TEAMBILLIONAIRE │ 17║
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║UCL │ 11║
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║... │ ..║
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║... │ ..║
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║... │ ..║
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╚══════════════════════════════════════╧═════╝
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dataflow:>field-value-counter display language
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Displaying values for field value counter 'language'
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╔═════╤═════╗
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║Value│Count║
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╠═════╪═════╣
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║en │1,171║
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║es │ 337║
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║ar │ 296║
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║und │ 251║
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║pt │ 175║
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║ja │ 137║
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║.. │ ...║
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║.. │ ...║
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║.. │ ...║
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╚═════╧═════╝
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```
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. Go to `admin-ui` accessible at `http://localhost:9393` and launch the `Analytics` tab. From the default `Dashboard` menu, select the following combinations to visualize real-time updates on `field-value-counter`.
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- For real-time updates on `language` tags, select:
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.. Metric Type as `Field-Value-Counters`
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.. Stream as `language`
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.. Visualization as `Bubble-Chart` or `Pie-Chart`
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- For real-time updates on `hashtags` tags, select:
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.. Metric Type as `Field-Value-Counters`
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.. Stream as `hashtags`
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.. Visualization as `Bubble-Chart` or `Pie-Chart`
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image::/images/twitter_anlaytics.png[Twitter Analytics Visualization]
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== Summary
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In this sample, you have learned:
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* How to use Spring Cloud Data Flow in `local-server` mode
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* How to use Spring Cloud Data Flow's `shell`
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* How to create streaming data pipeline to compute simple analytics using `Twitter Stream` and `Field Value Counter` data microservices
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BIN
analytics/twitter-analytics/images/twitter_analytics.png
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analytics/twitter-analytics/images/twitter_analytics.png
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```
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$ cd <PATH/TO/SPRING-CLOUD-DATAFLOW>
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$ java -jar spring-cloud-dataflow-admin-local/target/spring-cloud-dataflow-admin-local-1.0.0.BUILD-SNAPSHOT.jar
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$ java -jar spring-cloud-dataflow-server-local/target/spring-cloud-dataflow-server-local-1.0.0.BUILD-SNAPSHOT.jar
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```
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@@ -33,7 +33,7 @@ CREATE TABLE names
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```
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$ cd <PATH/TO/SPRING-CLOUD-DATAFLOW>
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$ java -jar spring-cloud-dataflow-admin-local/target/spring-cloud-dataflow-admin-local-1.0.0.BUILD-SNAPSHOT.jar
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$ java -jar spring-cloud-dataflow-server-local/target/spring-cloud-dataflow-server-local-1.0.0.BUILD-SNAPSHOT.jar
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```
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