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Posted to dev@distributedlog.apache.org by si...@apache.org on 2017/04/26 18:57:02 UTC
[39/51] [partial] incubator-distributedlog git commit: Release
0.4.0-incubating
http://git-wip-us.apache.org/repos/asf/incubator-distributedlog/blob/ef7245e8/content/docs/0.4.0-incubating/tutorials/analytics-mapreduce.html
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+<div class="col-md-8 col-md-offset-2">
+ <div class="contents topic" id="tutorial-distributedlog-meets-mapreduce">
+<p class="topic-title first">Tutorial - DistributedLog meets MapReduce</p>
+<ul class="simple">
+<li><a class="reference internal" href="#distributedlog-meets-mapreduce" id="id1">DistributedLog meets MapReduce</a><ul>
+<li><a class="reference internal" href="#inputformat" id="id2">InputFormat</a></li>
+<li><a class="reference internal" href="#log-segment-vs-data-split" id="id3">Log Segment vs Data Split</a></li>
+<li><a class="reference internal" href="#log-segment-record-reader" id="id4">Log Segment Record Reader</a></li>
+</ul>
+</li>
+</ul>
+</div>
+<div class="section" id="distributedlog-meets-mapreduce">
+<h2><a class="toc-backref" href="#id1">DistributedLog meets MapReduce</a></h2>
+<p>A distributedlog log stream is consists of log segments. Each log segment is distributed
+among multiple bookies node. This nature of data distribution allows distributedlog easily
+integrated with any analytics processing systems like <em>MapReduce</em> and <em>Spark</em>. This tutorial
+shows how you could use <em>MapReduce</em> to process log streams' data in batch and how <em>MapReduce</em>
+can leverage the data locality of log segments.</p>
+<div class="section" id="inputformat">
+<h3><a class="toc-backref" href="#id2">InputFormat</a></h3>
+<p><strong>InputFormat</strong> is one of the fundamental class in Hadoop MapReduce framework, that is used
+for accessing data from different sources. The class is responsible for defining two main
+things:</p>
+<ul class="simple">
+<li>Data Splits</li>
+<li>Record Reader</li>
+</ul>
+<p><em>Data Split</em> is a fundamental concept in Hadoop MapReduce framework which defines both
+the size of individual Map tasks and its potential execution server. The <em>Record Reader</em> is
+responsible for actual reading records from the <em>data split</em> and submitting them (as key/value
+pairs) to the mapper.</p>
+<p>Using distributedlog log streams as the sources for a MapReduce job, the <em>log segments</em> are
+the <em>data splits</em>, while the <em>log segment reader</em> for a log segment is the <em>record reader</em> for
+a <em>data split</em>.</p>
+</div>
+<div class="section" id="log-segment-vs-data-split">
+<h3><a class="toc-backref" href="#id3">Log Segment vs Data Split</a></h3>
+<p>Any split implementation extends the Apache base abstract class - <strong>InputSplit</strong>, defining a
+split length and locations. A distributedlog log segment has <em>record count</em>, which could be used
+to define the length of the split, and its metadata contains the storage nodes that are used to
+store its log records, which could be used to define the locations of the split. So we could
+create a <strong>LogSegmentSplit</strong> wrapping over a <em>LogSegment</em> (LogSegmentMetadata and LedgerMetadata).</p>
+<pre class="literal-block">
+public class LogSegmentSplit extends InputSplit {
+
+ private LogSegmentMetadata logSegmentMetadata;
+ private LedgerMetadata ledgerMetadata;
+
+ public LogSegmentSplit() {}
+
+ public LogSegmentSplit(LogSegmentMetadata logSegmentMetadata,
+ LedgerMetadata ledgerMetadata) {
+ this.logSegmentMetadata = logSegmentMetadata;
+ this.ledgerMetadata = ledgerMetadata;
+ }
+
+}
+</pre>
+<p>The length of the log segment split is the <em>number of records in the log segment</em>.</p>
+<pre class="literal-block">
+@Override
+public long getLength()
+ throws IOException, InterruptedException {
+ return logSegmentMetadata.getRecordCount();
+}
+</pre>
+<p>The locations of the log segment split are the bookies' addresses in the ensembles of
+the log segment.</p>
+<pre class="literal-block">
+@Override
+public String[] getLocations()
+ throws IOException, InterruptedException {
+ Set<String> locations = Sets.newHashSet();
+ for (ArrayList<BookieSocketAddress> ensemble : ledgerMetadata.getEnsembles().values()) {
+ for (BookieSocketAddress host : ensemble) {
+ locations.add(host.getHostName());
+ }
+ }
+ return locations.toArray(new String[locations.size()]);
+}
+</pre>
+<p>At this point, we will have a basic <strong>LogSegmentSplit</strong> wrapping <em>LogSegmentMetadata</em> and
+<em>LedgerMetadata</em>. Then we could retrieve the list of log segments of a log stream and construct
+corresponding <em>data splits</em> in distributedlog inputformat.</p>
+<pre class="literal-block">
+public class DistributedLogInputFormat
+ extends InputFormat<DLSN, LogRecordWithDLSN> implements Configurable {
+
+ @Override
+ public List<InputSplit> getSplits(JobContext jobContext)
+ throws IOException, InterruptedException {
+ List<LogSegmentMetadata> segments = dlm.getLogSegments();
+ List<InputSplit> inputSplits = Lists.newArrayListWithCapacity(segments.size());
+ BookKeeper bk = namespace.getReaderBKC().get();
+ LedgerManager lm = BookKeeperAccessor.getLedgerManager(bk);
+ final AtomicInteger rcHolder = new AtomicInteger(0);
+ final AtomicReference<LedgerMetadata> metadataHolder = new AtomicReference<LedgerMetadata>(null);
+ for (LogSegmentMetadata segment : segments) {
+ final CountDownLatch latch = new CountDownLatch(1);
+ lm.readLedgerMetadata(segment.getLedgerId(),
+ new BookkeeperInternalCallbacks.GenericCallback<LedgerMetadata>() {
+ @Override
+ public void operationComplete(int rc, LedgerMetadata ledgerMetadata) {
+ metadataHolder.set(ledgerMetadata);
+ rcHolder.set(rc);
+ latch.countDown();
+ }
+ });
+ latch.await();
+ if (BKException.Code.OK != rcHolder.get()) {
+ throw new IOException("Faild to get log segment metadata for " + segment + " : "
+ + BKException.getMessage(rcHolder.get()));
+ }
+ inputSplits.add(new LogSegmentSplit(segment, metadataHolder.get()));
+ }
+ return inputSplits;
+ }
+
+}
+</pre>
+</div>
+<div class="section" id="log-segment-record-reader">
+<h3><a class="toc-backref" href="#id4">Log Segment Record Reader</a></h3>
+<p>At this point, we know how to break the log streams into <em>data splits</em>. Then we need to be able
+to create a <strong>RecordReader</strong> for individual <em>data split</em>. Since each <em>data split</em> is effectively
+a <em>log segment</em> in distributedlog, it is straight to implement it using distributedlog's log segment
+reader. For simplicity, this example uses the raw bk api to access entries, which it doesn't
+leverage features like <strong>ReadAhead</strong> provided in distributedlog. It could be changed to
+use log segment reader for better performance.</p>
+<p>From the <em>data split</em>, we know which log segment and its corresponding bookkeeper ledger. Then
+we could open the ledger handle when initializing the record reader.</p>
+<pre class="literal-block">
+LogSegmentReader(String streamName,
+ DistributedLogConfiguration conf,
+ BookKeeper bk,
+ LogSegmentSplit split)
+ throws IOException {
+ this.streamName = streamName;
+ this.bk = bk;
+ this.metadata = split.getMetadata();
+ try {
+ this.lh = bk.openLedgerNoRecovery(
+ split.getLedgerId(),
+ BookKeeper.DigestType.CRC32,
+ conf.getBKDigestPW().getBytes(UTF_8));
+ } catch (BKException e) {
+ throw new IOException(e);
+ } catch (InterruptedException e) {
+ Thread.currentThread().interrupt();
+ throw new IOException(e);
+ }
+}
+</pre>
+<p>Reading records from the <em>data split</em> is effectively reading records from the distributedlog
+log segment.</p>
+<pre class="literal-block">
+try {
+ Enumeration<LedgerEntry> entries =
+ lh.readEntries(entryId, entryId);
+ if (entries.hasMoreElements()) {
+ LedgerEntry entry = entries.nextElement();
+ Entry.newBuilder()
+ .setLogSegmentInfo(metadata.getLogSegmentSequenceNumber(),
+ metadata.getStartSequenceId())
+ .setEntryId(entry.getEntryId())
+ .setEnvelopeEntry(
+ LogSegmentMetadata.supportsEnvelopedEntries(metadata.getVersion()))
+ .deserializeRecordSet(true)
+ .setInputStream(entry.getEntryInputStream())
+ .buildReader();
+ }
+ return nextKeyValue();
+} catch (BKException e) {
+ throw new IOException(e);
+}
+</pre>
+<p>We could calculate the progress by comparing the position with the record count of this log segment.</p>
+<pre class="literal-block">
+@Override
+public float getProgress()
+ throws IOException, InterruptedException {
+ if (metadata.getRecordCount() > 0) {
+ return ((float) (readPos + 1)) / metadata.getRecordCount();
+ }
+ return 1;
+}
+</pre>
+<p>Once we have <em>LogSegmentSplit</em> and the <em>LogSegmentReader</em> over a split. We could hook them up to
+implement distributedlog's InputFormat. Please check out the <a class="reference external" href="https://github.com/apache/incubator-distributedlog/tree/master/distributedlog-tutorials/distributedlog-mapreduce">code</a> for more details.</p>
+</div>
+</div>
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+
+<div class="col-md-8 col-md-offset-2">
+ <div class="contents topic" id="basic-tutorial-using-core-library-to-write-records">
+<p class="topic-title first">Basic Tutorial - Using Core Library to write records</p>
+<ul class="auto-toc simple">
+<li><a class="reference internal" href="#basic-tutorial-write-records-using-core-library" id="id2">1 Basic Tutorial - Write Records using Core Library</a><ul class="auto-toc">
+<li><a class="reference internal" href="#open-a-writer" id="id3">1.1 Open a writer</a><ul class="auto-toc">
+<li><a class="reference internal" href="#create-distributedlog-uri" id="id4">1.1.1 Create distributedlog URI</a></li>
+<li><a class="reference internal" href="#create-distributedlog-configuration" id="id5">1.1.2 Create distributedlog configuration</a></li>
+<li><a class="reference internal" href="#enable-immediate-flush" id="id6">1.1.3 Enable immediate flush</a></li>
+<li><a class="reference internal" href="#enable-immediate-locking" id="id7">1.1.4 Enable immediate locking</a></li>
+<li><a class="reference internal" href="#build-the-distributedlog-namespace" id="id8">1.1.5 Build the distributedlog namespace</a></li>
+<li><a class="reference internal" href="#open-the-writer" id="id9">1.1.6 Open the writer</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#write-records" id="id10">1.2 Write Records</a><ul class="auto-toc">
+<li><a class="reference internal" href="#construct-a-log-record" id="id11">1.2.1 Construct a log record</a></li>
+<li><a class="reference internal" href="#write-the-log-record" id="id12">1.2.2 Write the log record</a></li>
+<li><a class="reference internal" href="#register-the-write-callback" id="id13">1.2.3 Register the write callback</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#close-the-writer" id="id14">1.3 Close the writer</a><ul class="auto-toc">
+<li><a class="reference internal" href="#close-the-writer-after-usage" id="id15">1.3.1 Close the writer after usage</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#run-the-tutorial" id="id16">1.4 Run the tutorial</a><ul class="auto-toc">
+<li><a class="reference internal" href="#start-the-local-bookkeeper-cluster" id="id17">1.4.1 Start the local bookkeeper cluster</a></li>
+<li><a class="reference internal" href="#create-the-stream" id="id18">1.4.2 Create the stream</a></li>
+<li><a class="reference internal" href="#tail-the-stream" id="id19">1.4.3 Tail the stream</a></li>
+<li><a class="reference internal" href="#id1" id="id20">1.4.4 Write records</a></li>
+<li><a class="reference internal" href="#check-the-results" id="id21">1.4.5 Check the results</a></li>
+<li><a class="reference internal" href="#attempt-a-second-writer" id="id22">1.4.6 Attempt a second writer</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</div>
+<div class="section" id="basic-tutorial-write-records-using-core-library">
+<h2><a class="toc-backref" href="#id2">1 Basic Tutorial - Write Records using Core Library</a></h2>
+<p>This tutorial shows how to write records using core library.</p>
+<div class="section" id="open-a-writer">
+<h3><a class="toc-backref" href="#id3">1.1 Open a writer</a></h3>
+<p>Before everything, you have to open a writer to write records.
+These are the steps to follow to <cite>open a writer</cite>.</p>
+<div class="section" id="create-distributedlog-uri">
+<h4><a class="toc-backref" href="#id4">1.1.1 Create distributedlog URI</a></h4>
+<pre class="literal-block">
+String dlUriStr = ...;
+URI uri = URI.create(dlUriStr);
+</pre>
+</div>
+<div class="section" id="create-distributedlog-configuration">
+<h4><a class="toc-backref" href="#id5">1.1.2 Create distributedlog configuration</a></h4>
+<pre class="literal-block">
+DistributedLogConfiguration conf = new DistributedLogConfiguration();
+</pre>
+</div>
+<div class="section" id="enable-immediate-flush">
+<h4><a class="toc-backref" href="#id6">1.1.3 Enable immediate flush</a></h4>
+<pre class="literal-block">
+conf.setImmediateFlushEnabled(true);
+conf.setOutputBufferSize(0);
+conf.setPeriodicFlushFrequencyMilliSeconds(0);
+</pre>
+</div>
+<div class="section" id="enable-immediate-locking">
+<h4><a class="toc-backref" href="#id7">1.1.4 Enable immediate locking</a></h4>
+<p>So if there is already a writer wring to the stream, opening another writer will
+fail because previous writer already held a lock.</p>
+<pre class="literal-block">
+conf.setLockTimeout(DistributedLogConstants.LOCK_IMMEDIATE);
+</pre>
+</div>
+<div class="section" id="build-the-distributedlog-namespace">
+<h4><a class="toc-backref" href="#id8">1.1.5 Build the distributedlog namespace</a></h4>
+<pre class="literal-block">
+DistributedLogNamespace namespace = DistributedLogNamespaceBuilder.newBuilder()
+ .conf(conf)
+ .uri(uri)
+ .regionId(DistributedLogConstants.LOCAL_REGION_ID)
+ .clientId("console-writer")
+ .build();
+</pre>
+</div>
+<div class="section" id="open-the-writer">
+<h4><a class="toc-backref" href="#id9">1.1.6 Open the writer</a></h4>
+<pre class="literal-block">
+DistributedLogManager dlm = namespace.openLog("basic-stream-1");
+AsyncLogWriter writer = FutureUtils.result(dlm.openAsyncLogWriter());
+</pre>
+</div>
+</div>
+<div class="section" id="write-records">
+<h3><a class="toc-backref" href="#id10">1.2 Write Records</a></h3>
+<p>Once you got a <cite>writer</cite> instance, you can start writing <cite>records</cite> into the stream.</p>
+<div class="section" id="construct-a-log-record">
+<h4><a class="toc-backref" href="#id11">1.2.1 Construct a log record</a></h4>
+<p>Here lets use <cite>System.currentTimeMillis()</cite> as the <cite>TransactionID</cite>.</p>
+<pre class="literal-block">
+byte[] data = ...;
+LogRecord record = new LogRecord(System.currentTimeMillis(), data);
+</pre>
+</div>
+<div class="section" id="write-the-log-record">
+<h4><a class="toc-backref" href="#id12">1.2.2 Write the log record</a></h4>
+<pre class="literal-block">
+Future<DLSN> writeFuture = writer.write(record);
+</pre>
+</div>
+<div class="section" id="register-the-write-callback">
+<h4><a class="toc-backref" href="#id13">1.2.3 Register the write callback</a></h4>
+<p>Register a future listener on write completion. The writer will be notified once the write is completed.</p>
+<pre class="literal-block">
+writeFuture.addEventListener(new FutureEventListener<DLSN>() {
+ @Override
+ public void onFailure(Throwable cause) {
+ // executed when write failed.
+ }
+
+ @Override
+ public void onSuccess(DLSN value) {
+ // executed when write completed.
+ }
+});
+</pre>
+</div>
+</div>
+<div class="section" id="close-the-writer">
+<h3><a class="toc-backref" href="#id14">1.3 Close the writer</a></h3>
+<div class="section" id="close-the-writer-after-usage">
+<h4><a class="toc-backref" href="#id15">1.3.1 Close the writer after usage</a></h4>
+<pre class="literal-block">
+FutureUtils.result(writer.asyncClose());
+</pre>
+</div>
+</div>
+<div class="section" id="run-the-tutorial">
+<h3><a class="toc-backref" href="#id16">1.4 Run the tutorial</a></h3>
+<p>Run the example in the following steps:</p>
+<div class="section" id="start-the-local-bookkeeper-cluster">
+<h4><a class="toc-backref" href="#id17">1.4.1 Start the local bookkeeper cluster</a></h4>
+<p>You can use follow command to start the distributedlog stack locally.
+After the distributedlog is started, you could access it using
+distributedlog uri <em>distributedlog://127.0.0.1:7000/messaging/distributedlog</em>.</p>
+<pre class="literal-block">
+// dlog local ${zk-port}
+./distributedlog-core/bin/dlog local 7000
+</pre>
+</div>
+<div class="section" id="create-the-stream">
+<h4><a class="toc-backref" href="#id18">1.4.2 Create the stream</a></h4>
+<pre class="literal-block">
+// Create Stream `basic-stream-1`
+// dlog tool create -u ${distributedlog-uri} -r ${stream-prefix} -e ${stream-regex}
+./distributedlog-core/bin/dlog tool create -u distributedlog://127.0.0.1:7000/messaging/distributedlog -r basic-stream- -e 1
+</pre>
+</div>
+<div class="section" id="tail-the-stream">
+<h4><a class="toc-backref" href="#id19">1.4.3 Tail the stream</a></h4>
+<p>Tailing the stream using <cite>TailReader</cite> to wait for new records.</p>
+<pre class="literal-block">
+// Tailing Stream `basic-stream-1`
+// runner run org.apache.distributedlog.basic.TailReader ${distributedlog-uri} ${stream}
+./distributedlog-tutorials/distributedlog-basic/bin/runner run org.apache.distributedlog.basic.TailReader distributedlog://127.0.0.1:7000/messaging/distributedlog basic-stream-1
+</pre>
+</div>
+<div class="section" id="id1">
+<h4><a class="toc-backref" href="#id20">1.4.4 Write records</a></h4>
+<p>Run the example to write records to the stream in a console.</p>
+<pre class="literal-block">
+// Write Records into Stream `basic-stream-1`
+// runner run org.apache.distributedlog.basic.ConsoleWriter ${distributedlog-uri} ${stream}
+./distributedlog-tutorials/distributedlog-basic/bin/runner run org.apache.distributedlog.basic.ConsoleWriter distributedlog://127.0.0.1:7000/messaging/distributedlog basic-stream-1
+</pre>
+</div>
+<div class="section" id="check-the-results">
+<h4><a class="toc-backref" href="#id21">1.4.5 Check the results</a></h4>
+<p>Example output from <cite>ConsoleWriter</cite> and <cite>TailReader</cite>.</p>
+<pre class="literal-block">
+// Output of `ConsoleWriter`
+Opening log stream basic-stream-1
+[dlog] > test!
+[dlog] >
+
+
+// Output of `TailReader`
+Opening log stream basic-stream-1
+Log stream basic-stream-1 is empty.
+Wait for records starting from DLSN{logSegmentSequenceNo=1, entryId=0, slotId=0}
+Received record DLSN{logSegmentSequenceNo=1, entryId=0, slotId=0}
+"""
+test!
+"""
+</pre>
+</div>
+<div class="section" id="attempt-a-second-writer">
+<h4><a class="toc-backref" href="#id22">1.4.6 Attempt a second writer</a></h4>
+<p>Open another terminal to run <cite>ConsoleWriter</cite>. It would fail with <cite>OwnershipAcquireFailedException</cite> as previous
+<cite>ConsoleWriter</cite> is still holding lock on writing to stream <cite>basic-stream-1</cite>.</p>
+<pre class="literal-block">
+Opening log stream basic-stream-1
+Exception in thread "main" org.apache.distributedlog.exceptions.OwnershipAcquireFailedException: LockPath - /messaging/distributedlog/basic-stream-1/<default>/lock: Lock acquisition failed, the current owner is console-writer
+ at org.apache.distributedlog.lock.ZKSessionLock$8.apply(ZKSessionLock.java:570)
+ at org.apache.distributedlog.lock.ZKSessionLock$8.apply(ZKSessionLock.java:567)
+ at com.twitter.util.Future$$anonfun$map$1$$anonfun$apply$8.apply(Future.scala:1041)
+ at com.twitter.util.Try$.apply(Try.scala:13)
+ at com.twitter.util.Future$.apply(Future.scala:132)
+ at com.twitter.util.Future$$anonfun$map$1.apply(Future.scala:1041)
+ at com.twitter.util.Future$$anonfun$map$1.apply(Future.scala:1040)
+ at com.twitter.util.Promise$Transformer.liftedTree1$1(Promise.scala:112)
+ at com.twitter.util.Promise$Transformer.k(Promise.scala:112)
+ at com.twitter.util.Promise$Transformer.apply(Promise.scala:122)
+ at com.twitter.util.Promise$Transformer.apply(Promise.scala:103)
+ at com.twitter.util.Promise$$anon$1.run(Promise.scala:357)
+ at com.twitter.concurrent.LocalScheduler$Activation.run(Scheduler.scala:178)
+ at com.twitter.concurrent.LocalScheduler$Activation.submit(Scheduler.scala:136)
+ at com.twitter.concurrent.LocalScheduler.submit(Scheduler.scala:207)
+ at com.twitter.concurrent.Scheduler$.submit(Scheduler.scala:92)
+ at com.twitter.util.Promise.runq(Promise.scala:350)
+ at com.twitter.util.Promise.updateIfEmpty(Promise.scala:716)
+ at com.twitter.util.Promise.update(Promise.scala:694)
+ at com.twitter.util.Promise.setValue(Promise.scala:670)
+ at org.apache.distributedlog.lock.ZKSessionLock$9.safeRun(ZKSessionLock.java:622)
+ at org.apache.bookkeeper.util.SafeRunnable.run(SafeRunnable.java:31)
+ at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
+ at java.util.concurrent.FutureTask.run(FutureTask.java:262)
+ at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:178)
+ at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:292)
+ at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
+ at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
+ at java.lang.Thread.run(Thread.java:745)
+</pre>
+</div>
+</div>
+</div>
+
+
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+
+<div class="col-md-8 col-md-offset-2">
+ <div class="contents topic" id="basic-tutorial-using-proxy-client-to-write-records">
+<p class="topic-title first">Basic Tutorial - Using Proxy Client to write records</p>
+<ul class="auto-toc simple">
+<li><a class="reference internal" href="#basic-tutorial-write-records-using-write-proxy-client" id="id2">1 Basic Tutorial - Write Records using Write Proxy Client</a><ul class="auto-toc">
+<li><a class="reference internal" href="#open-a-write-proxy-client" id="id3">1.1 Open a write proxy client</a><ul class="auto-toc">
+<li><a class="reference internal" href="#create-write-proxy-client-builder" id="id4">1.1.1 Create write proxy client builder</a></li>
+<li><a class="reference internal" href="#enable-thrift-mux" id="id5">1.1.2 Enable thrift mux</a></li>
+<li><a class="reference internal" href="#point-the-client-to-write-proxy-using-finagle-name" id="id6">1.1.3 Point the client to write proxy using finagle name</a></li>
+<li><a class="reference internal" href="#build-the-write-proxy-client" id="id7">1.1.4 Build the write proxy client</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#write-records" id="id8">1.2 Write Records</a><ul class="auto-toc">
+<li><a class="reference internal" href="#write-records-to-a-stream" id="id9">1.2.1 Write records to a stream</a></li>
+<li><a class="reference internal" href="#register-the-write-callback" id="id10">1.2.2 Register the write callback</a></li>
+</ul>
+</li>
+<li><a class="reference internal" href="#close-the-write-proxy-client" id="id11">1.3 Close the write proxy client</a></li>
+<li><a class="reference internal" href="#run-the-tutorial" id="id12">1.4 Run the tutorial</a><ul class="auto-toc">
+<li><a class="reference internal" href="#start-the-local-bookkeeper-cluster" id="id13">1.4.1 Start the local bookkeeper cluster</a></li>
+<li><a class="reference internal" href="#start-the-write-proxy" id="id14">1.4.2 Start the write proxy</a></li>
+<li><a class="reference internal" href="#create-the-stream" id="id15">1.4.3 Create the stream</a></li>
+<li><a class="reference internal" href="#tail-the-stream" id="id16">1.4.4 Tail the stream</a></li>
+<li><a class="reference internal" href="#id1" id="id17">1.4.5 Write records</a></li>
+<li><a class="reference internal" href="#check-the-results" id="id18">1.4.6 Check the results</a></li>
+<li><a class="reference internal" href="#attempt-a-second-writer" id="id19">1.4.7 Attempt a second writer</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+</div>
+<div class="section" id="basic-tutorial-write-records-using-write-proxy-client">
+<h2><a class="toc-backref" href="#id2">1 Basic Tutorial - Write Records using Write Proxy Client</a></h2>
+<p>This tutorial shows how to write records using write proxy client.</p>
+<div class="section" id="open-a-write-proxy-client">
+<h3><a class="toc-backref" href="#id3">1.1 Open a write proxy client</a></h3>
+<div class="section" id="create-write-proxy-client-builder">
+<h4><a class="toc-backref" href="#id4">1.1.1 Create write proxy client builder</a></h4>
+<pre class="literal-block">
+DistributedLogClientBuilder builder = DistributedLogClientBuilder.newBuilder();
+ .clientId(ClientId.apply("console-proxy-writer"))
+ .name("console-proxy-writer");
+</pre>
+</div>
+<div class="section" id="enable-thrift-mux">
+<h4><a class="toc-backref" href="#id5">1.1.2 Enable thrift mux</a></h4>
+<pre class="literal-block">
+builder = builder.thriftmux(true);
+</pre>
+</div>
+<div class="section" id="point-the-client-to-write-proxy-using-finagle-name">
+<h4><a class="toc-backref" href="#id6">1.1.3 Point the client to write proxy using finagle name</a></h4>
+<pre class="literal-block">
+String finagleNameStr = "inet!127.0.0.1:8000";
+builder = builder.finagleNameStr(finagleNameStr);
+</pre>
+</div>
+<div class="section" id="build-the-write-proxy-client">
+<h4><a class="toc-backref" href="#id7">1.1.4 Build the write proxy client</a></h4>
+<pre class="literal-block">
+DistributedLogClient client = builder.build();
+</pre>
+</div>
+</div>
+<div class="section" id="write-records">
+<h3><a class="toc-backref" href="#id8">1.2 Write Records</a></h3>
+<div class="section" id="write-records-to-a-stream">
+<h4><a class="toc-backref" href="#id9">1.2.1 Write records to a stream</a></h4>
+<p>Application does not have to provide <cite>TransactionID</cite> on writing.
+The <cite>TransactionID</cite> of a record is assigned by the write proxy.</p>
+<pre class="literal-block">
+String streamName = "basic-stream-2";
+byte[] data = ...;
+Future<DLSN> writeFuture = client.write(streamName, ByteBuffer.wrap(data));
+</pre>
+</div>
+<div class="section" id="register-the-write-callback">
+<h4><a class="toc-backref" href="#id10">1.2.2 Register the write callback</a></h4>
+<p>Register a future listener on write completion. The writer will be notified once the write is completed.</p>
+<pre class="literal-block">
+writeFuture.addEventListener(new FutureEventListener<DLSN>() {
+ @Override
+ public void onFailure(Throwable cause) {
+ // executed when write failed.
+ }
+
+ @Override
+ public void onSuccess(DLSN value) {
+ // executed when write completed.
+ }
+});
+</pre>
+</div>
+</div>
+<div class="section" id="close-the-write-proxy-client">
+<h3><a class="toc-backref" href="#id11">1.3 Close the write proxy client</a></h3>
+<p>Close the write proxy client after usage.</p>
+<pre class="literal-block">
+client.close();
+</pre>
+</div>
+<div class="section" id="run-the-tutorial">
+<h3><a class="toc-backref" href="#id12">1.4 Run the tutorial</a></h3>
+<p>Run the example in the following steps:</p>
+<div class="section" id="start-the-local-bookkeeper-cluster">
+<h4><a class="toc-backref" href="#id13">1.4.1 Start the local bookkeeper cluster</a></h4>
+<p>You can use follow command to start the distributedlog stack locally.
+After the distributedlog cluster is started, you could access it using
+distributedlog uri <em>distributedlog://127.0.0.1:7000/messaging/distributedlog</em>.</p>
+<pre class="literal-block">
+// dlog local ${zk-port}
+./distributedlog-core/bin/dlog local 7000
+</pre>
+</div>
+<div class="section" id="start-the-write-proxy">
+<h4><a class="toc-backref" href="#id14">1.4.2 Start the write proxy</a></h4>
+<p>Start the write proxy, listening on port 8000.</p>
+<pre class="literal-block">
+// DistributedLogServerApp -p ${service-port} --shard-id ${shard-id} -sp ${stats-port} -u {distributedlog-uri} -mx -c ${conf-file}
+./distributedlog-service/bin/dlog org.apache.distributedlog.service.DistributedLogServerApp -p 8000 --shard-id 1 -sp 8001 -u distributedlog://127.0.0.1:7000/messaging/distributedlog -mx -c ${distributedlog-repo}/distributedlog-service/conf/distributedlog_proxy.conf
+</pre>
+</div>
+<div class="section" id="create-the-stream">
+<h4><a class="toc-backref" href="#id15">1.4.3 Create the stream</a></h4>
+<p>Create the stream under the distributedlog uri.</p>
+<pre class="literal-block">
+// Create Stream `basic-stream-2`
+// dlog tool create -u ${distributedlog-uri} -r ${stream-prefix} -e ${stream-regex}
+./distributedlog-core/bin/dlog tool create -u distributedlog://127.0.0.1:7000/messaging/distributedlog -r basic-stream- -e 2
+</pre>
+</div>
+<div class="section" id="tail-the-stream">
+<h4><a class="toc-backref" href="#id16">1.4.4 Tail the stream</a></h4>
+<p>Tailing the stream using <cite>TailReader</cite> to wait for new records.</p>
+<pre class="literal-block">
+// Tailing Stream `basic-stream-2`
+// runner run org.apache.distributedlog.basic.TailReader ${distributedlog-uri} ${stream}
+./distributedlog-tutorials/distributedlog-basic/bin/runner run org.apache.distributedlog.basic.TailReader distributedlog://127.0.0.1:7000/messaging/distributedlog basic-stream-2
+</pre>
+</div>
+<div class="section" id="id1">
+<h4><a class="toc-backref" href="#id17">1.4.5 Write records</a></h4>
+<p>Run the example to write records to the stream in a console.</p>
+<pre class="literal-block">
+// Write Records into Stream `basic-stream-2`
+// runner run org.apache.distributedlog.basic.ConsoleProxyWriter ${distributedlog-uri} ${stream}
+./distributedlog-tutorials/distributedlog-basic/bin/runner run org.apache.distributedlog.basic.ConsoleProxyWriter 'inet!127.0.0.1:8000' basic-stream-2
+</pre>
+</div>
+<div class="section" id="check-the-results">
+<h4><a class="toc-backref" href="#id18">1.4.6 Check the results</a></h4>
+<p>Example output from <cite>ConsoleProxyWriter</cite> and <cite>TailReader</cite>.</p>
+<pre class="literal-block">
+// Output of `ConsoleProxyWriter`
+May 08, 2016 10:27:41 AM com.twitter.finagle.BaseResolver$$anonfun$resolvers$1 apply
+INFO: Resolver[inet] = com.twitter.finagle.InetResolver(com.twitter.finagle.InetResolver@756d7bba)
+May 08, 2016 10:27:41 AM com.twitter.finagle.BaseResolver$$anonfun$resolvers$1 apply
+INFO: Resolver[fixedinet] = com.twitter.finagle.FixedInetResolver(com.twitter.finagle.FixedInetResolver@1d2e91f5)
+May 08, 2016 10:27:41 AM com.twitter.finagle.BaseResolver$$anonfun$resolvers$1 apply
+INFO: Resolver[neg] = com.twitter.finagle.NegResolver$(com.twitter.finagle.NegResolver$@5c707aca)
+May 08, 2016 10:27:41 AM com.twitter.finagle.BaseResolver$$anonfun$resolvers$1 apply
+INFO: Resolver[nil] = com.twitter.finagle.NilResolver$(com.twitter.finagle.NilResolver$@5c8d932f)
+May 08, 2016 10:27:41 AM com.twitter.finagle.BaseResolver$$anonfun$resolvers$1 apply
+INFO: Resolver[fail] = com.twitter.finagle.FailResolver$(com.twitter.finagle.FailResolver$@52ba2221)
+May 08, 2016 10:27:41 AM com.twitter.finagle.Init$$anonfun$1 apply$mcV$sp
+[dlog] > test-proxy-writer
+[dlog] >
+
+
+// Output of `TailReader`
+Opening log stream basic-stream-2
+Log stream basic-stream-2 is empty.
+Wait for records starting from DLSN{logSegmentSequenceNo=1, entryId=0, slotId=0}
+Received record DLSN{logSegmentSequenceNo=1, entryId=0, slotId=0}
+"""
+test-proxy-writer
+"""
+</pre>
+</div>
+<div class="section" id="attempt-a-second-writer">
+<h4><a class="toc-backref" href="#id19">1.4.7 Attempt a second writer</a></h4>
+<p>Open another terminal to run <cite>ConsoleProxyWriter</cite>. The write should succeed as write proxy is able to accept
+fan-in writes. Please checkout section <cite>Considerations</cite> to see the difference between <strong>Write Ordering</strong> and
+<strong>Read Ordering</strong>.</p>
+<pre class="literal-block">
+May 08, 2016 10:31:54 AM com.twitter.finagle.BaseResolver$$anonfun$resolvers$1 apply
+INFO: Resolver[inet] = com.twitter.finagle.InetResolver(com.twitter.finagle.InetResolver@756d7bba)
+May 08, 2016 10:31:54 AM com.twitter.finagle.BaseResolver$$anonfun$resolvers$1 apply
+INFO: Resolver[fixedinet] = com.twitter.finagle.FixedInetResolver(com.twitter.finagle.FixedInetResolver@1d2e91f5)
+May 08, 2016 10:31:54 AM com.twitter.finagle.BaseResolver$$anonfun$resolvers$1 apply
+INFO: Resolver[neg] = com.twitter.finagle.NegResolver$(com.twitter.finagle.NegResolver$@5c707aca)
+May 08, 2016 10:31:54 AM com.twitter.finagle.BaseResolver$$anonfun$resolvers$1 apply
+INFO: Resolver[nil] = com.twitter.finagle.NilResolver$(com.twitter.finagle.NilResolver$@5c8d932f)
+May 08, 2016 10:31:54 AM com.twitter.finagle.BaseResolver$$anonfun$resolvers$1 apply
+INFO: Resolver[fail] = com.twitter.finagle.FailResolver$(com.twitter.finagle.FailResolver$@52ba2221)
+May 08, 2016 10:31:54 AM com.twitter.finagle.Init$$anonfun$1 apply$mcV$sp
+[dlog] > test-write-proxy-message-2
+[dlog] >
+</pre>
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