[英]Not able to fetch result from hive transaction enabled table through spark-sql
背景:-
遵循的步驟:-
創建配置單元表:-
hive>
CREATE TABLE orctest(PROD_ID bigint, CUST_ID bigint, TIME_ID timestamp, CHANNEL_ID bigint, PROMO_ID bigint, QUANTITY_SOLD decimal(10,0), AMOUNT_SOLD decimal(10,0) ) CLUSTERED BY (PROD_ID) INTO 32 BUCKETS STORED AS ORC TBLPROPERTIES ( "orc.compress"="SNAPPY", "transactional"="true" );
將記錄插入orctest
hive>
insert into orctest values(1, 1, '2016-08-02 21:36:54.000000000', 1, 1, 10, 10000);
嘗試從spark-shell訪問orctest表
scala>
val hiveContext = new org.apache.spark.sql.hive.HiveContext(sc)
val s = hiveContext.table("orctest")*
拋出異常:
16/08/02 22:06:54 INFO OrcRelation: Listing hdfs://hadoop03:8020/apps/hive/warehouse/orctest on driver
16/08/02 22:06:54
INFO OrcRelation: Listing hdfs://hadoop03:8020/apps/hive/warehouse/orctest/delta_0000005_0000005 on driver
**java.lang.AssertionError: assertion failed**
at scala.Predef$.assert(Predef.scala:165)
at org.apache.spark.sql.execution.datasources.LogicalRelation$$anonfun$1.apply(LogicalRelation.scala:39)
at org.apache.spark.sql.execution.datasources.LogicalRelation$$anonfun$1.apply(LogicalRelation.scala:38)
at scala.Option.map(Option.scala:145)
at org.apache.spark.sql.execution.datasources.LogicalRelation.<init>(LogicalRelation.scala:38)
at org.apache.spark.sql.execution.datasources.LogicalRelation.copy(LogicalRelation.scala:31)
at org.apache.spark.sql.hive.HiveMetastoreCatalog.org$apache$spark$sql$hive$HiveMetastoreCatalog$$convertToOrcRelation(HiveMetastoreCatalog.scala:588)
任何幫助將不勝感激。
嘗試設置: hiveContext.setConf("spark.sql.hive.convertMetastoreOrc", "false")
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