Help Center/ MapReduce Service/ Component Operation Guide (LTS) (Ankara Region)/ Using Spark/ Spark FAQ/ Spark SQL and DataFrame/ What Directory Permissions Do I Need to Create a Table Using SparkSQL?
Updated on 2024-11-29 GMT+08:00

What Directory Permissions Do I Need to Create a Table Using SparkSQL?

Question

The following error information is displayed when a new user creates a table using SparkSQL:

0: jdbc:hive2://192.168.169.84:22550/default> create table testACL(c string);
Error: org.apache.spark.sql.execution.QueryExecutionException: FAILED: Execution Error, return code 1 from 
org.apache.hadoop.hive.ql.exec.DDLTask. MetaException(message:Got exception: org.apache.hadoop.security.AccessControlException 
Permission denied: user=testACL, access=EXECUTE, inode="/user/hive/warehouse/testacl":spark:hadoop:drwxrwx---
    at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkAccessAcl(FSPermissionChecker.java:403)
    at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.check(FSPermissionChecker.java:306)
    at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkTraverse(FSPermissionChecker.java:259)
    at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:205)
    at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:190)
    at org.apache.hadoop.hdfs.server.namenode.FSDirectory.checkPermission(FSDirectory.java:1710)
    at org.apache.hadoop.hdfs.server.namenode.FSDirStatAndListingOp.getFileInfo(FSDirStatAndListingOp.java:109)
    at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getFileInfo(FSNamesystem.java:3762)
    at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.getFileInfo(NameNodeRpcServer.java:1014)
    at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.getFileInfo(ClientNamenodeProtocolServerSideTranslatorPB.java:853)
    at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
    at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:616)
    at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:973)
    at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2089)
    at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2085)
    at java.security.AccessController.doPrivileged(Native Method)
    at javax.security.auth.Subject.doAs(Subject.java:422)
    at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1675)
    at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2083)
) (state=,code=0)

Answer

When you create a table using Spark SQL, the interface of Hive is called by the underlying system and a directory named after the table will be created in the /user/hive/warehouse directory. Therefore, you must have the permissions to read, write, and execute the /user/hive/warehouse directory or the group permission of Hive.

The/user/hive/warehouse is specified by the hive.metastore.warehouse.dir parameter.