[jira] [Created] (IGNITE-13178) Spark job gets stuck indefinitely while trying to fetch data from ignite cluster using thin client

["Ameer Basha Pattan (Jira)" <ji...@apache.org>]

Ameer Basha Pattan created IGNITE-13178:
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             Summary: Spark job gets stuck indefinitely while trying to fetch data from ignite cluster using thin client
                 Key: IGNITE-13178
                 URL: https://issues.apache.org/jira/browse/IGNITE-13178
             Project: Ignite
          Issue Type: Bug
          Components: cache, clients, thin client
            Reporter: Ameer Basha Pattan
         Attachments: IgniteHelper.java

We are trying to use ignite as in-memory distributed cache and put data inside cache using spark job.

We tried using thin client to fetch data from cache.

// we are using ThreadLocal to stop creating too many client instances.

private static final ThreadLocal<IgniteClient> igniteClientContext = new ThreadLocal<>();
  

//Thin client creation

public static IgniteClient getIgniteClient(String[] address) \{ if(igniteClientContext.get() == null) { ClientConfiguration clientConfig = null; if(cfg == null) { clientConfig = new ClientConfiguration().setAddresses(address); } else \{ clientConfig = cfg; } IgniteClient igniteClient = Ignition.startClient(clientConfig); logger.info("igniteClient initialized "); igniteClientContext.set(igniteClient); } return igniteClientContext.get(); }

 

From spark code, I'm trying to create instance of ignite thin client and create cache object.

 

{{val address = config.igniteServers.split(",") // config.igniteServers ="10.xx.xxx.xxx:10800,10.xx.xx.xxx:10800"}}

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Below code will be called from spark executor. We will be processing set or records in each executor and we are only reading data from cache and comparing with currently processing record. If it is already present in cache, we will ignore otherwise we will consume it.

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{{val cacheCfg = new ClientCacheConfiguration()
      .setName(PNR_CACHE)
      .setCacheMode(CacheMode.REPLICATED)
      .setWriteSynchronizationMode(CacheWriteSynchronizationMode.FULL_SYNC)
      .setDefaultLockTimeout(30000)
val igniteClient = IgniteHelper.getIgniteClient(address)
val cache : ClientCache[Long, Boolean] = igniteClient.getOrCreateCache(cacheCfg);}}

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{{Job is running fine for couple of hours and it gets stuck with below exception indefinitely.}}

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{{org.apache.ignite.client.ClientConnectionException: Ignite cluster is unavailable [sock=Socket[addr=hdpct2ldap01g02.hadoop.sgdcprod.XXXX.com/10.xx.xx.xx,port=10800,localport=20214]]
at org.apache.ignite.internal.client.thin.TcpClientChannel.handleIOError(TcpClientChannel.java:499)
at org.apache.ignite.internal.client.thin.TcpClientChannel.handleIOError(TcpClientChannel.java:491)
at org.apache.ignite.internal.client.thin.TcpClientChannel.access$100(TcpClientChannel.java:92)
at org.apache.ignite.internal.client.thin.TcpClientChannel$ByteCountingDataInput.read(TcpClientChannel.java:538)
at org.apache.ignite.internal.client.thin.TcpClientChannel$ByteCountingDataInput.readInt(TcpClientChannel.java:572)
at org.apache.ignite.internal.client.thin.TcpClientChannel.processNextResponse(TcpClientChannel.java:272)
at org.apache.ignite.internal.client.thin.TcpClientChannel.receive(TcpClientChannel.java:234)
at org.apache.ignite.internal.client.thin.TcpClientChannel.service(TcpClientChannel.java:171)
at org.apache.ignite.internal.client.thin.ReliableChannel.service(ReliableChannel.java:160)
at org.apache.ignite.internal.client.thin.ReliableChannel.request(ReliableChannel.java:187)
at org.apache.ignite.internal.client.thin.TcpIgniteClient.getOrCreateCache(TcpIgniteClient.java:124)
at com.XXXX.eda.pnr.PnrApplication$$anonfun$2$$anonfun$apply$4.apply(PnrApplication.scala:305)
at com.XXXX.eda.pnr.PnrApplication$$anonfun$2$$anonfun$apply$4.apply(PnrApplication.scala:297)
at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
at org.apache.spark.storage.memory.MemoryStore.putIteratorAsValues(MemoryStore.scala:217)
at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1094)
at org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1085)
at org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:1020)
at org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1085)
at org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:811)
at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:335)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:286)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:381)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.net.SocketException: Connection timed out (Read failed)
    at java.net.SocketInputStream.socketRead0(Native Method)
    at java.net.SocketInputStream.socketRead(SocketInputStream.java:116)
    at java.net.SocketInputStream.read(SocketInputStream.java:171)
    at java.net.SocketInputStream.read(SocketInputStream.java:141)
    at org.apache.ignite.internal.client.thin.TcpClientChannel$ByteCountingDataInput.read(TcpClientChannel.java:535)}}

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{{stackoverflow link :}}

[https://stackoverflow.com/questions/62531478/spark-job-gets-stuck-indefinitely-while-trying-to-fetch-data-from-ignite-cluster]

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