everyone,i'm use the spark interpreter of zeppelin to read hive data. my version info list:
- zeppelin:Version 0.8.2
- CDH: Cloudera Express 5.13.1
- hive:1.1.0
when i run this sql in a paragraph of spark interpreter notebook
%sql select * from the_table_not_exists
evenif the table is not exists,it also run 300s,i think 300s is the configuration hive.metastore.client.socket.timeout=300
And the log is bellow，Info and WARN are spaced exactly 300s apart
INFO [2020-10-16 11:32:42,887] ({pool-2-thread-7} SchedulerFactory.java[jobStarted]:114) - Job 20200723-090353_389722279 started by scheduler org.apache.zeppelin.spark.SparkSqlInterpreter113305554
WARN [2020-10-16 11:37:42,930] ({pool-2-thread-7} RetryingMetaStoreClient.java[invoke]:184) - MetaStoreClient lost connection. Attempting to reconnect.
org.apache.thrift.transport.TTransportException: java.net.SocketTimeoutException: Read timed out
...
Caused by: java.net.SocketTimeoutException: Read timed out
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 java.io.BufferedInputStream.fill(BufferedInputStream.java:246)
at java.io.BufferedInputStream.read1(BufferedInputStream.java:286)
at java.io.BufferedInputStream.read(BufferedInputStream.java:345)
at org.apache.thrift.transport.TIOStreamTransport.read(TIOStreamTransport.java:127)
... 93 more
INFO [2020-10-16 11:37:43,933] ({pool-2-thread-7} HiveMetaStoreClient.java[open]:376) - Trying to connect to metastore with URI thrift://host:9083
INFO [2020-10-16 11:37:43,948] ({pool-2-thread-7} HiveMetaStoreClient.java[open]:472) - Connected to metastore.
INFO [2020-10-16 11:37:43,956] ({pool-2-thread-7} SchedulerFactory.java[jobFinished]:120) - Job 20200723-090353_389722279 finished by scheduler org.apache.zeppelin.spark.SparkSqlInterpreter113305554
then reconnect hive metastore now I have no idea how to fix it ,is anyone can help me ? thank you