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SPARK写给HBase写作

本文介绍了SPARK写给HBase写作的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！

问题描述

我的SPARK程序中的流程如下：

驱动程序 - > Hbase连接创建 - >广播Hbase句柄
现在来自执行者，我们获取这个句柄并尝试写入hbase中。在Driver程序中，我创建HBase conf对象和Connection Object，然后通过JavaSPARK上下文广播它，如下所示：

/ p> 

  SparkConf sparkConf = JobConfigHelper.getSparkConfig（）; 
 
配置conf = new Configuration（）; 
 UserGroupInformation.setConfiguration（conf）; 
 
 jsc = new JavaStreamingContext（sparkConf，
 Durations.milliseconds（Long.parseLong（batchDuration）））; 
 
配置hconf = HBaseConfiguration.create（）; 
 hconf.addResource（新路径（/ etc / hbase / conf / core-site.xml））; 
 hconf.addResource（新路径（/ etc / hbase / conf / hbase-site.xml））; 
 UserGroupInformation.setConfiguration（hconf）; 
 
 JavaSparkContext js = jsc.sparkContext（）; 
连接连接= ConnectionFactory.createConnection（hconf）; 
 connectionbroadcast = js.broadcast（连接）;

执行者的内部调用（）方法，

  Table table = connectionbroadcast.getValue（）。getTable（TableName.valueOf（gfttsdgn：FRESHHBaseRushi））; 
 
把p = new Put（Bytes.toBytes（row1））; 
 
 p.add（Bytes.toBytes（c1），Bytes.toBytes（output），Bytes.toBytes（rohan））; 
 table.put（p）;

尝试以纱线客户端模式运行时出现以下异常：

  17/03/02 09:19:38错误yarn.ApplicationMaster：用户类抛出异常：com.esotericsoftware.kryo.KryoException：java.util.ConcurrentModificationException 
序列化跟踪：
类（sun.misc.Launcher $ AppClassLoader）
 classLoader（org.apache.hadoop.conf.Configuration）
 conf（org.apache.hadoop.hbase。 client.RpcRetryingCallerFactory）
 rpcCallerFactory（org.apache.hadoop.hbase.client.AsyncProcess）
 asyncProcess（org.apache.hadoop.hbase.client.ConnectionManager $ HConnectionImplementation）
 com.esotericsoftware。 kryo.KryoException：java.util.ConcurrentModificationException 
序列化跟踪：
类（sun.misc.Launcher $ AppClassLoader）
 classLoader（org.apache.hadoop.conf.Configuration）
 conf（org.apache.hadoop.hbase.client.RpcRetryingCallerFactory）
 rpcCallerFac tory（org.apache.hadoop.hbase.client.AsyncProcess）
 asyncProcess（org.apache.hadoop.hbase.client.ConnectionManager $ HConnectionImplementation）
 at com.esotericsoftware.kryo.serializers.FieldSerializer $ ObjectField .write（FieldSerializer.java:585）
 at com.esotericsoftware.kryo.serializers.FieldSerializer.write（FieldSerializer.java:213）
 at com.esotericsoftware.kryo.Kryo.writeObject（Kryo.java ：501）
在com.esotericsoftware.kryo.serializers.FieldSerializer $ ObjectField.write（FieldSerializer.java:564）
在com.esotericsoftware.kryo.serializers.FieldSerializer.write（FieldSerializer.java:213 ）
 at com.esotericsoftware.kryo.Kryo.writeObject（Kryo.java:501）
 at com.esotericsoftware.kryo.serializers.FieldSerializer $ ObjectField.write（FieldSerializer.java:564）
在com.esotericsoftware.kryo.serializers.FieldSerializer.write（FieldSerializer.java:213）
在com.esotericsoftware.kryo.Kryo.writeOb JECT（Kryo.java:501）
在com.esotericsoftware.kryo.serializers.FieldSerializer $ ObjectField.write（FieldSerializer.java:564）
在com.esotericsoftware.kryo.serializers.FieldSerializer.write（ FieldSerializer.java:213）在com.esotericsoftware.kryo.Kryo.writeObject（Kryo.java:501 
）
在com.esotericsoftware.kryo.serializers.FieldSerializer $ ObjectField.write（FieldSerializer.java： 564）
 at com.esotericsoftware.kryo.serializers.FieldSerializer.write（FieldSerializer.java:213）
 at com.esotericsoftware.kryo.Kryo.writeClassAndObject（Kryo.java:568）
在org.apache.spark.serializer.KryoSerializationStream.writeObject（KryoSerializer.scala：194）
 at org.apache.spark.broadcast.TorrentBroadcast $ .blockifyObject（TorrentBroadcast.scala：203）
 at org。 apache.spark.broadcast.TorrentBroadcast.writeBlocks（TorrentBroadcast.scala：102）
 at org.apache.spark.broadcast.TorrentBroadcast。< init>（TorrentBr oadcast.scala：85）
。在org.apache.spark.broadcast.TorrentBroadcastFactory.newBroadcast（TorrentBroadcastFactory.scala：34）
。在org.apache.spark.broadcast.BroadcastManager.newBroadcast（BroadcastManager.scala： 63）
 at org.apache.spark.SparkContext.broadcast（SparkContext.scala：1337）
 at org.apache.spark.api.java.JavaSparkContext.broadcast（JavaSparkContext.scala：639）
 at com.citi.fresh.core.driver.FreshDriver.main（FreshDriver.java:178）
 at sun.reflect.NativeMethodAccessorImpl.invoke0（Native Method）
 at sun.reflect.NativeMethodAccessorImpl。调用（NativeMethodAccessorImpl.java:57）
在sun.reflect.DelegatingMethodAccessorImpl.invoke（DelegatingMethodAccessorImpl.java:43）
在java.lang.reflect.Method.invoke（Method.java:606）
在org.apache.spark.deploy.yarn.ApplicationMaster $$ anon $ 2.run（ApplicationMaster.scala：542）
导致：java.util.ConcurrentModificationException 
 java.util.Vector $ Itr.checkForComodification（Vector.java:1156）$ java.util.Vector 
 $ Itr.next（Vector.java:1133）
 at com.esotericsoftware.kryo.serializers .CollectionSerializer.write（CollectionSerializer.java:67）
在com.esotericsoftware.kryo.serializers.CollectionSerializer.write（CollectionSerializer.java:18）
在com.esotericsoftware.kryo.Kryo.writeObject（KRYO .java：501）
 at com.esotericsoftware.kryo.serializers.FieldSerializer $ ObjectField.write（FieldSerializer.java:564）
 ... 28 more 
  
 
解决方案
我可以看到您正试图使用​​Spark将数据批量放入HBase。正如@jojo_Berlin解释的，你的Hbase Conf不是线程安全的。但是，您可以通过使用。  
 
 
 配置conf = HBaseConfiguration.create（）; 
 conf.addResource（新路径（/ etc / hbase / conf / core-site.xml））; 
 conf.addResource（新路径（/ etc / hbase / conf / hbase-site.xml））; 
 JavaHBaseContext hbaseContext = new JavaHBaseContext（jsc，conf）; 
 hbaseContext.bulkPut（rdd，TableName.valueOf（gfttsdgn：FRESHHBaseRushi），new PutFunction（），true）; 
  
其中'put'函数是： 
 
 
  public static class PutFunction implements Function< String，Put> {
 public put call（String v）throws Exception {
 Put put = new Put（Bytes.toBytes（v））; 
 put.add（Bytes.toBytes（c1），Bytes.toBytes（output），
 Bytes.toBytes（rohan））; 
回报投入; 
} 
} 
  
 
The flow in my SPARK program is as follows:
Driver --> Hbase connection created --> Broadcast the Hbase handleNow from executors , we fetch this handle and trying to write into hbase
In Driver program, I'm creating HBase conf object and Connection Object and then broadcasting it through JavaSPARK Context as follows:
     SparkConf sparkConf = JobConfigHelper.getSparkConfig();

        Configuration conf = new Configuration();
        UserGroupInformation.setConfiguration(conf);

        jsc = new JavaStreamingContext(sparkConf,
                                Durations.milliseconds(Long.parseLong(batchDuration)));

        Configuration hconf=HBaseConfiguration.create();
        hconf.addResource(new Path("/etc/hbase/conf/core-site.xml"));
        hconf.addResource(new Path("/etc/hbase/conf/hbase-site.xml"));
        UserGroupInformation.setConfiguration(hconf);

    JavaSparkContext js = jsc.sparkContext();
Connection connection = ConnectionFactory.createConnection(hconf);
        connectionbroadcast=js.broadcast(connection);

Inside call() method of the executor,
Table table = connectionbroadcast.getValue().getTable(TableName.valueOf("gfttsdgn:FRESHHBaseRushi")) ;

                                Put p = new Put(Bytes.toBytes("row1"));

                                p.add(Bytes.toBytes("c1"), Bytes.toBytes("output"), Bytes.toBytes("rohan"));
                                table.put(p);

Getting following exception when trying to run in yarn-client mode:
17/03/02 09:19:38 ERROR yarn.ApplicationMaster: User class threw exception: com.esotericsoftware.kryo.KryoException: java.util.ConcurrentModificationException
    Serialization trace:
    classes (sun.misc.Launcher$AppClassLoader)
    classLoader (org.apache.hadoop.conf.Configuration)
    conf (org.apache.hadoop.hbase.client.RpcRetryingCallerFactory)
    rpcCallerFactory (org.apache.hadoop.hbase.client.AsyncProcess)
    asyncProcess (org.apache.hadoop.hbase.client.ConnectionManager$HConnectionImplementation)
    com.esotericsoftware.kryo.KryoException: java.util.ConcurrentModificationException
    Serialization trace:
    classes (sun.misc.Launcher$AppClassLoader)
    classLoader (org.apache.hadoop.conf.Configuration)
    conf (org.apache.hadoop.hbase.client.RpcRetryingCallerFactory)
    rpcCallerFactory (org.apache.hadoop.hbase.client.AsyncProcess)
    asyncProcess (org.apache.hadoop.hbase.client.ConnectionManager$HConnectionImplementation)
        at com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.write(FieldSerializer.java:585)
        at com.esotericsoftware.kryo.serializers.FieldSerializer.write(FieldSerializer.java:213)
        at com.esotericsoftware.kryo.Kryo.writeObject(Kryo.java:501)
        at com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.write(FieldSerializer.java:564)
        at com.esotericsoftware.kryo.serializers.FieldSerializer.write(FieldSerializer.java:213)
        at com.esotericsoftware.kryo.Kryo.writeObject(Kryo.java:501)
        at com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.write(FieldSerializer.java:564)
        at com.esotericsoftware.kryo.serializers.FieldSerializer.write(FieldSerializer.java:213)
        at com.esotericsoftware.kryo.Kryo.writeObject(Kryo.java:501)
        at com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.write(FieldSerializer.java:564)
        at com.esotericsoftware.kryo.serializers.FieldSerializer.write(FieldSerializer.java:213)
        at com.esotericsoftware.kryo.Kryo.writeObject(Kryo.java:501)
        at com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.write(FieldSerializer.java:564)
        at com.esotericsoftware.kryo.serializers.FieldSerializer.write(FieldSerializer.java:213)
        at com.esotericsoftware.kryo.Kryo.writeClassAndObject(Kryo.java:568)
        at org.apache.spark.serializer.KryoSerializationStream.writeObject(KryoSerializer.scala:194)
        at org.apache.spark.broadcast.TorrentBroadcast$.blockifyObject(TorrentBroadcast.scala:203)
        at org.apache.spark.broadcast.TorrentBroadcast.writeBlocks(TorrentBroadcast.scala:102)
        at org.apache.spark.broadcast.TorrentBroadcast.<init>(TorrentBroadcast.scala:85)
        at org.apache.spark.broadcast.TorrentBroadcastFactory.newBroadcast(TorrentBroadcastFactory.scala:34)
        at org.apache.spark.broadcast.BroadcastManager.newBroadcast(BroadcastManager.scala:63)
        at org.apache.spark.SparkContext.broadcast(SparkContext.scala:1337)
        at org.apache.spark.api.java.JavaSparkContext.broadcast(JavaSparkContext.scala:639)
        at com.citi.fresh.core.driver.FreshDriver.main(FreshDriver.java:178)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:606)
        at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:542)
    Caused by: java.util.ConcurrentModificationException
        at java.util.Vector$Itr.checkForComodification(Vector.java:1156)
        at java.util.Vector$Itr.next(Vector.java:1133)
        at com.esotericsoftware.kryo.serializers.CollectionSerializer.write(CollectionSerializer.java:67)
        at com.esotericsoftware.kryo.serializers.CollectionSerializer.write(CollectionSerializer.java:18)
        at com.esotericsoftware.kryo.Kryo.writeObject(Kryo.java:501)
        at com.esotericsoftware.kryo.serializers.FieldSerializer$ObjectField.write(FieldSerializer.java:564)
        ... 28 more

 解决方案 
I can see that you are trying to bulk put data into HBase using Spark. As @jojo_Berlin explained, your Hbase Conf is not thread safe. However, you can easily achieve this by using SparkOnHbase. 
Configuration conf = HBaseConfiguration.create();
conf.addResource(new Path("/etc/hbase/conf/core-site.xml"));
conf.addResource(new Path("/etc/hbase/conf/hbase-site.xml"));
JavaHBaseContext hbaseContext = new JavaHBaseContext(jsc, conf);
hbaseContext.bulkPut(rdd, TableName.valueOf("gfttsdgn:FRESHHBaseRushi"), new PutFunction(), true);

Where your 'put' function is:
public static class PutFunction implements Function<String, Put> {
   public Put call(String v) throws Exception {
      Put put = new Put(Bytes.toBytes(v));
      put.add(Bytes.toBytes("c1"), Bytes.toBytes("output"),
      Bytes.toBytes("rohan"));
      return put;
     }
}

                        
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08-23 04:13
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