What version of Spark and Hive are you using? Spark 1.1.0 and prior
version /only/ support Hive 0.12.0. Spark 1.2.0 supports Hive 0.12.0
/or/ 0.13.1.
Cheng
On 1/29/15 6:36 PM, QiuxuanZhu wrote:
*Dear all,
*
*I have no idea when it raises an error when I run the following code.*
*
*
def getRow(data):
return data.msg
first_sql = "select * from logs.event where dt = '20150120' and et =
'ppc' LIMIT 10"#error
#first_sql = "select * from hivecrawler.vip_crawler where src='xx' and
dt='" + timestamp + "'"#correct
sc = SparkContext(appName="parse")
sqlContext = HiveContext(sc)
data = sqlContext.sql(first_sql)
file_target = "/tmp/test/logdd"
data.map(getRow).saveAsTextFile(file_target)
sc.stop()
print 'stop'*
*
*
*
*I submit the code by following script:*
*
*
*
*
/usr/local/spark-default/bin/spark-submit --master yarn-client
--executor-memory 8G --num-executors 20 --executor-cores 2 --py-files a.py
*It would raise a error.
*
*The Spark Log shows that *
15/01/30 09:46:39 ERROR metastore.RetryingHMSHandler:
java.lang.OutOfMemoryError: GC overhead limit exceeded
*and the python code shows that:*
*
*py4j.protocol.Py4JJavaError: An error occurred while calling
o26.javaToPython.
: java.lang.OutOfMemoryError: GC overhead limit exceeded
at
com.mysql.jdbc.SingleByteCharsetConverter.toString(SingleByteCharsetConverter.java:333)
at com.mysql.jdbc.ResultSetRow.getString(ResultSetRow.java:819)
at com.mysql.jdbc.ByteArrayRow.getString(ByteArrayRow.java:70)
at
com.mysql.jdbc.ResultSetImpl.getStringInternal(ResultSetImpl.java:5811)
at com.mysql.jdbc.ResultSetImpl.getString(ResultSetImpl.java:5688)
at com.mysql.jdbc.ResultSetImpl.getObject(ResultSetImpl.java:4985)
at
org.datanucleus.store.rdbms.datasource.dbcp.DelegatingResultSet.getObject(DelegatingResultSet.java:325)
at
org.datanucleus.store.rdbms.datasource.dbcp.DelegatingResultSet.getObject(DelegatingResultSet.java:325)
at
org.datanucleus.store.rdbms.query.ResultClassROF.getResultObject(ResultClassROF.java:666)
at
org.datanucleus.store.rdbms.query.ResultClassROF.getObject(ResultClassROF.java:309)
at
org.datanucleus.store.rdbms.query.ForwardQueryResult.nextResultSetElement(ForwardQueryResult.java:181)
at
org.datanucleus.store.rdbms.query.ForwardQueryResult$QueryResultIterator.next(ForwardQueryResult.java:403)
at
org.apache.hadoop.hive.metastore.MetaStoreDirectSql.loopJoinOrderedResult(MetaStoreDirectSql.java:665)
at
org.apache.hadoop.hive.metastore.MetaStoreDirectSql.getPartitionsViaSqlFilterInternal(MetaStoreDirectSql.java:429)
at
org.apache.hadoop.hive.metastore.MetaStoreDirectSql.getPartitions(MetaStoreDirectSql.java:224)
at
org.apache.hadoop.hive.metastore.ObjectStore$1.getSqlResult(ObjectStore.java:1563)
at
org.apache.hadoop.hive.metastore.ObjectStore$1.getSqlResult(ObjectStore.java:1559)
at
org.apache.hadoop.hive.metastore.ObjectStore$GetHelper.run(ObjectStore.java:2208)
at
org.apache.hadoop.hive.metastore.ObjectStore.getPartitionsInternal(ObjectStore.java:1559)
at
org.apache.hadoop.hive.metastore.ObjectStore.getPartitions(ObjectStore.java:1553)
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.hadoop.hive.metastore.RawStoreProxy.invoke(RawStoreProxy.java:108)
at com.sun.proxy.$Proxy25.getPartitions(Unknown Source)
at
org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.get_partitions(HiveMetaStore.java:2516)
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.hadoop.hive.metastore.RetryingHMSHandler.invoke(RetryingHMSHandler.java:105)
*It looks like a memory problem. But If I switch another hive table to
get data, the code works fine.
*
*Any idea which direction should I start with?Config?*
*
*
*Thanks.*
--
跑不完马拉松的摄影师不是好背包客。
下个目标，该是6K的峰了吧？恩。
