Help Center/ MapReduce Service/ Troubleshooting/ Using Hive/ Error Message "OutOfMemoryError" Is Displayed on the Beeline Client
Updated on 2023-11-30 GMT+08:00

Error Message "OutOfMemoryError" Is Displayed on the Beeline Client

Symptom

When a large amount of data is queried on the Beeline client, the message "OutOFMemoryError: Java heap space" is displayed. The detailed error information is as follows:

org.apache.thrift.TException: Error in calling method FetchResults
	at org.apache.hive.jdbc.HiveConnection$SynchronizedHandler.invoke(HiveConnection.java:1514)
	at com.sun.proxy.$Proxy4.FetchResults(Unknown Source)
	at org.apache.hive.jdbc.HiveQueryResultSet.next(HiveQueryResultSet.java:358)
	at org.apache.hive.beeline.BufferedRows.<init>(BufferedRows.java:42)
	at org.apache.hive.beeline.BeeLine.print(BeeLine.java:1856)
	at org.apache.hive.beeline.Commands.execute(Commands.java:873)
	at org.apache.hive.beeline.Commands.sql(Commands.java:714)
	at org.apache.hive.beeline.BeeLine.dispatch(BeeLine.java:1035)
	at org.apache.hive.beeline.BeeLine.execute(BeeLine.java:821)
	at org.apache.hive.beeline.BeeLine.begin(BeeLine.java:778)
	at org.apache.hive.beeline.BeeLine.mainWithInputRedirection(BeeLine.java:486)
	at org.apache.hive.beeline.BeeLine.main(BeeLine.java:469)
Caused by: java.lang.OutOfMemoryError: Java heap space
	at com.sun.crypto.provider.CipherCore.doFinal(CipherCore.java:959)
	at com.sun.crypto.provider.CipherCore.doFinal(CipherCore.java:824)
	at com.sun.crypto.provider.AESCipher.engineDoFinal(AESCipher.java:436)
	at javax.crypto.Cipher.doFinal(Cipher.java:2223)
	at sun.security.krb5.internal.crypto.dk.AesDkCrypto.decryptCTS(AesDkCrypto.java:414)
	at sun.security.krb5.internal.crypto.dk.AesDkCrypto.decryptRaw(AesDkCrypto.java:291)
	at sun.security.krb5.internal.crypto.Aes256.decryptRaw(Aes256.java:86)
	at sun.security.jgss.krb5.CipherHelper.aes256Decrypt(CipherHelper.java:1397)
	at sun.security.jgss.krb5.CipherHelper.decryptData(CipherHelper.java:576)
	at sun.security.jgss.krb5.WrapToken_v2.getData(WrapToken_v2.java:130)
	at sun.security.jgss.krb5.WrapToken_v2.getData(WrapToken_v2.java:105)
	at sun.security.jgss.krb5.Krb5Context.unwrap(Krb5Context.java:1058)
	at sun.security.jgss.GSSContextImpl.unwrap(GSSContextImpl.java:403)
	at com.sun.security.sasl.gsskerb.GssKrb5Base.unwrap(GssKrb5Base.java:77)
	at org.apache.thrift.transport.TSaslTransport$SaslParticipant.unwrap(TSaslTransport.java:559)
	at org.apache.thrift.transport.TSaslTransport.readFrame(TSaslTransport.java:462)
	at org.apache.thrift.transport.TSaslTransport.read(TSaslTransport.java:435)
	at org.apache.thrift.transport.TSaslClientTransport.read(TSaslClientTransport.java:37)
	at org.apache.thrift.transport.TTransport.xxx(TTransport.java:86)
	at org.apache.hadoop.hive.thrift.TFilterTransport.xxx(TFilterTransport.java:62)
	at org.apache.thrift.protocol.TBinaryProtocol.xxx(TBinaryProtocol.java:429)
	at org.apache.thrift.protocol.TBinaryProtocol.readI32(TBinaryProtocol.java:318)
	at org.apache.thrift.protocol.TBinaryProtocol.readMessageBegin(TBinaryProtocol.java:219)
	at org.apache.thrift.TServiceClient.receiveBase(TServiceClient.java:77)
	at org.apache.hive.service.cli.thrift.TCLIService$Client.recv_FetchResults(TCLIService.java:505)
	at org.apache.hive.service.cli.thrift.TCLIService$Client.FetchResults(TCLIService.java:492)
	at sun.reflect.GeneratedMethodAccessor2.invoke(Unknown Source)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:498)
	at org.apache.hive.jdbc.HiveConnection$SynchronizedHandler.invoke(HiveConnection.java:1506)
	at com.sun.proxy.$Proxy4.FetchResults(Unknown Source)
	at org.apache.hive.jdbc.HiveQueryResultSet.next(HiveQueryResultSet.java:358)
Error: Error retrieving next row (state=,code=0)

Cause Analysis

  • The data volume is excessively large.
  • Users use the select * from table_name; statement for query in the whole table. There is a large amount of data in the table.
  • The default startup memory of Beeline is 128 MB. The returned result set is too large during query, overloading Beeline.

Solution

  1. Before running select count(*) from table_name;, check the amount of data to be queried and determine whether to display data of this magnitude in Beeline.
  2. If a certain amount of data needs to be displayed, adjust the JVM parameter of the Hive client. Add export HIVE_OPTS=-Xmx1024M (change the value based on service requirements) to component_env in the /Hive directory of the Hive client. Run the source Client directory/bigdata_env command again to configure environment variables.