blog/2013/08/30/loading-data.html

<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <meta name="description" content="Apache Druid"> <meta name="keywords" content="druid,kafka,database,analytics,streaming,real-time,real time,apache,open source"> <meta name="author" content="Apache Software Foundation"> <title>Druid | Understanding Druid Real-time Ingestion</title> <link rel="alternate" type="application/atom+xml" href="/feed"> <link rel="shortcut icon" href="/img/favicon.png"> <link rel="stylesheet" href="/assets/css/font-awesome-5.css"> <link href='//fonts.googleapis.com/css?family=Open+Sans+Condensed:300,700,300italic|Open+Sans:300italic,400italic,600italic,400,300,600,700' rel='stylesheet' type='text/css'> <link rel="stylesheet" href="/css/bootstrap-pure.css?v=1.1"> <link rel="stylesheet" href="/css/base.css?v=1.1"> <link rel="stylesheet" href="/css/header.css?v=1.1"> <link rel="stylesheet" href="/css/footer.css?v=1.1"> <link rel="stylesheet" href="/css/syntax.css?v=1.1"> <link rel="stylesheet" href="/css/docs.css?v=1.1"> <script> (function() { var cx = '000162378814775985090:molvbm0vggm'; var gcse = document.createElement('script'); gcse.type = 'text/javascript'; gcse.async = true; gcse.src = (document.location.protocol == 'https:' ? 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Now it's time to load our own data to see how Druid performs. Druid can ingest data in three ways: via Kafka and a realtime node, via the indexing service, and via the Hadoop batch loader. Data is ingested in realtime using a <a href="https://github.com/metamx/druid/wiki/Firehose">Firehose</a>. In this post we'll outline how to ingest data from Kafka in realtime using the Kafka Firehose.</p> <h2 id="about-druid">About Druid</h2> <p>Druid is a rockin' exploratory analytical data store capable of offering interactive query of big data in realtime - as data is ingested. Druid drives 10's of billions of events per day for the <a href="http://www.metamarkets.com">Metamarkets</a> platform, and Metamarkets is committed to building Druid in open source.</p> <p>To learn more check out the first blog in this series <a href="/blog/2013/08/06/twitter-tutorial.html">Understanding Druid Via Twitter Data</a></p> <p>Checkout Druid at XLDB on Sept 9th <a href="https://conf-slac.stanford.edu/xldb-2013/tutorials#amC">XLDB</a></p> <p>Druid is available <a href="https://github.com/metamx/druid">here</a>.</p> <h2 id="create-config-directories">Create Config Directories</h2> <p>Each type of node needs its own config file and directory, so create these subdirectories under the druid directory.</p> <div class="highlight"><pre><code class="language-text" data-lang="text"><span></span>mkdir config mkdir config/realtime </code></pre></div> <h2 id="loading-data-with-kafka">Loading Data with Kafka</h2> <p><a href="https://github.com/metamx/druid/blob/master/realtime/src/main/java/com/metamx/druid/realtime/firehose/KafkaFirehoseFactory.java">KafkaFirehoseFactory</a> is how druid communicates with Kafka. Using this Firehose with the right configuration, we can import data into Druid in realtime without writing any code. To load data to a realtime node via Kafka, we'll first need to initialize Zookeeper and Kafka, and then configure and initialize a Realtime node.</p> <h3 id="booting-kafka">Booting Kafka</h3> <p>Instructions for booting a Zookeeper and then Kafka cluster are available <a href="http://kafka.apache.org/07/quickstart.html">here</a>.</p> <p><strong>Download Apache Kafka</strong> 0.7.2 from <a href="http://static.druid.io/artifacts/kafka-0.7.2-incubating-bin.tar.gz">http://static.druid.io/artifacts/kafka-0.7.2-incubating-bin.tar.gz</a></p> <div class="highlight"><pre><code class="language-text" data-lang="text"><span></span>wget http://static.druid.io/artifacts/kafka-0.7.2-incubating-bin.tar.gz tar -xvzf kafka-0.7.2-incubating-bin.tar.gz cd kafka-0.7.2-incubating-bin </code></pre></div> <p><strong>Boot Zookeeper and Kafka</strong></p> <div class="highlight"><pre><code class="language-text" data-lang="text"><span></span>cat config/zookeeper.properties bin/zookeeper-server-start.sh config/zookeeper.properties # in a new console bin/kafka-server-start.sh config/server.properties </code></pre></div> <p><strong>Launch Kafka</strong></p> <p>In a new console, launch the kafka console producer (so you can type in JSON kafka messages in a bit)</p> <div class="highlight"><pre><code class="language-text" data-lang="text"><span></span>bin/kafka-console-producer.sh --zookeeper localhost:2181 --topic druidtest </code></pre></div> <h3 id="launching-a-realtime-node">Launching a Realtime Node</h3> <p><strong>Download Druid</strong></p> <div class="highlight"><pre><code class="language-text" data-lang="text"><span></span>wget http://static.druid.io/artifacts/releases/druid-services-0.5.50-bin.tar.gz tar -xvzf druid-services-0.5.50-bin.tar.gz cd druid-services-0.5.50-bin </code></pre></div> <p><strong>Create a valid configuration file</strong> similar to this called config/realtime/runtime.properties:</p> <div class="highlight"><pre><code class="language-text" data-lang="text"><span></span>druid.host=127.0.0.1 druid.port=8083 com.metamx.emitter.logging=true druid.processing.formatString=processing_%s druid.processing.numThreads=1 druid.processing.buffer.sizeBytes=10000000 druid.service=example druid.request.logging.dir=/tmp/example/log druid.realtime.specFile=realtime.spec com.metamx.emitter.logging=true com.metamx.emitter.logging.level=info com.metamx.aws.accessKey=dummy_access_key com.metamx.aws.secretKey=dummy_secret_key druid.pusher.s3.bucket=dummy_s3_bucket druid.zk.service.host=localhost druid.server.maxSize=300000000000 druid.zk.paths.base=/druid druid.database.segmentTable=prod_segments druid.database.user=user druid.database.password=diurd druid.database.connectURI= druid.host=127.0.0.1:8083 </code></pre></div> <p><strong>Create a valid realtime configuration file</strong> similar to this called realtime.spec in the current directory:</p> <div class="highlight"><pre><code class="language-text" data-lang="text"><span></span>[{ "schema" : { "dataSource":"druidtest", "aggregators":[ {"type":"count", "name":"impressions"}, {"type":"doubleSum","name":"wp","fieldName":"wp"}], "indexGranularity":"minute", "shardSpec" : { "type": "none" } }, "config" : { "maxRowsInMemory" : 500000, "intermediatePersistPeriod" : "PT10m" }, "firehose" : { "type" : "kafka-0.7.2", "consumerProps" : { "zk.connect" : "localhost:2181", "zk.connectiontimeout.ms" : "15000", "zk.sessiontimeout.ms" : "15000", "zk.synctime.ms" : "5000", "groupid" : "topic-pixel-local", "fetch.size" : "1048586", "autooffset.reset" : "largest", "autocommit.enable" : "false" }, "feed" : "druidtest", "parser" : { "timestampSpec" : { "column" : "utcdt", "format" : "iso" }, "data" : { "format" : "json" }, "dimensionExclusions" : ["wp"] } }, "plumber" : { "type" : "realtime", "windowPeriod" : "PT10m", "segmentGranularity":"hour", "basePersistDirectory" : "/tmp/realtime/basePersist", "rejectionPolicy": {"type": "messageTime"} } }] </code></pre></div> <p><strong>Launch the realtime node</strong></p> <div class="highlight"><pre><code class="language-text" data-lang="text"><span></span>java -Xmx256m -Duser.timezone=UTC -Dfile.encoding=UTF-8 \ -Ddruid.realtime.specFile=realtime.spec \ -classpath services/target/druid-services-0.5.6-SNAPSHOT-selfcontained.jar:config/realtime \ com.metamx.druid.realtime.RealtimeMain </code></pre></div> <p><strong>Paste data into the Kafka console producer</strong></p> <div class="highlight"><pre><code class="language-text" data-lang="text"><span></span>{"utcdt": "2010-01-01T01:01:01", "wp": 1000, "gender": "male", "age": 100} {"utcdt": "2010-01-01T01:01:02", "wp": 2000, "gender": "female", "age": 50} {"utcdt": "2010-01-01T01:01:03", "wp": 3000, "gender": "male", "age": 20} {"utcdt": "2010-01-01T01:01:04", "wp": 4000, "gender": "female", "age": 30} {"utcdt": "2010-01-01T01:01:05", "wp": 5000, "gender": "male", "age": 40} </code></pre></div> <p><strong>Watch the events as they are ingested</strong> in the Druid realtime node console</p> <div class="highlight"><pre><code class="language-text" data-lang="text"><span></span>... 2013-06-17 21:41:55,569 INFO [Global--0] com.metamx.emitter.core.LoggingEmitter - Event [{"feed":"metrics","timestamp":"2013-06-17T21:41:55.569Z","service":"example","host":"127.0.0.1","metric":"events/processed","value":5,"user2":"druidtest"}] ... </code></pre></div> <p><strong>Create a query</strong> In a new console, edit a file called query.body:</p> <div class="highlight"><pre><code class="language-text" data-lang="text"><span></span>{ "queryType": "groupBy", "dataSource": "druidtest", "granularity": "all", "dimensions": [], "aggregations": [ { "type": "count", "name": "rows" }, {"type": "longSum", "name": "imps", "fieldName": "impressions"}, {"type": "doubleSum", "name": "wp", "fieldName": "wp"} ], "intervals": ["2010-01-01T00:00/2020-01-01T00"] } </code></pre></div> <p><strong>Submit the query via curl</strong></p> <div class="highlight"><pre><code class="language-text" data-lang="text"><span></span>curl -X POST "http://localhost:8083/druid/v2/?pretty" \ -H 'content-type: application/json' -d @query.body </code></pre></div> <p><strong>View Result!</strong></p> <div class="highlight"><pre><code class="language-text" data-lang="text"><span></span>[ { "timestamp" : "2010-01-01T01:01:00.000Z", "result" : { "imps" : 20, "wp" : 60000.0, "rows" : 5 } } ] </code></pre></div> <p>Congratulations, you've queried the data we just loaded! In our next post, we'll move on to Querying our Data.</p> </div> </div> </div> </div>  <footer class="druid-footer"> <div class="container"> <div class="text-center"> <p> <a href="/technology">Technology</a>&ensp;·&ensp; <a href="/use-cases">Use Cases</a>&ensp;·&ensp; <a href="/druid-powered">Powered by Druid</a>&ensp;·&ensp; <a href="/docs/latest/">Docs</a>&ensp;·&ensp; <a href="/community/">Community</a>&ensp;·&ensp; <a href="/downloads.html">Download</a>&ensp;·&ensp; <a href="/faq">FAQ</a> </p> </div> <div class="text-center"> <a title="Join the user group" href="https://groups.google.com/forum/#!forum/druid-user" target="_blank"><span class="fa fa-comments"></span></a>&ensp;·&ensp; <a title="Follow Druid" href="https://twitter.com/druidio" target="_blank"><span class="fab fa-twitter"></span></a>&ensp;·&ensp; <a title="GitHub" href="https://github.com/apache/druid" target="_blank"><span class="fab fa-github"></span></a> </div> <div class="text-center license"> Copyright © 2020 <a href="https://www.apache.org/" target="_blank">Apache Software Foundation</a>.<br> Except where otherwise noted, licensed under <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/">CC BY-SA 4.0</a>.<br> Apache Druid, Druid, and the Druid logo are either registered trademarks or trademarks of The Apache Software Foundation in the United States and other countries. </div> </div> </footer> <script async src="https://www.googletagmanager.com/gtag/js?id=UA-131010415-1"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'UA-131010415-1'); </script> <script> function trackDownload(type, url) { ga('send', 'event', 'download', type, url); } </script> <script src="//code.jquery.com/jquery.min.js"></script> <script src="//maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script> <script src="/assets/js/druid.js"></script>  </body> </html>

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