Ambari Spark 集成Hive

Ambari Spark 集成Hive

1. beeline出现org.apache.thrift.TApplicationException: Required field ‘client_protocol’ is unset! Struct:TOpenSessionReq(client_protocol:null,configuration:set:hiveconf:hive.server2.thrift.resultset.default.fetch.size=1000,use:database=default})

原值	替换值
hive/bin 下的 beeline	spark/bin 下的 beeline

2、新版本spark不使用hive的源数据表的问题

对spark2-hive-site-override做修改

原值	替换值
metastore.catalog.default=spark	metastore.catalog.default=hive

3、出现AnalysisException: org.apache.hadoop.hive.ql.metadata.HiveException: MetaException(message:Table default.partition_test failed strict managed table checks due to the following reason: Table is marked as a managed table but is not transactional.)

对hive-site.xml做修改

原值	替换值
hive.strict.managed.tables=true	hive.strict.managed.tables=false

注意是hive中

4、出现org.apache.spark.sql.AnalysisException: org.apache.hadoop.hive.ql.metadata.HiveException: org.apache.hadoop.hive.ql.metadata.HiveException: Load Data failed for hdfs://***:8020/warehouse/tablespace/managed/hive/***/.hive-staging_hive_2019-07-02_18-17-08_028_419193115114639265-1/-ext-10000/part-00000-1f0e8f19-6a12-448f-ba18-a2319711c0aa-c000 as the file is not owned by hive and load data is also not ran as hive;

spark hive-site.xml添加hive.load.data.owner=spark(具体执行用户)

5、出现org.apache.spark.sql.AnalysisException: java.lang.NullPointerException: null;at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:106)

spark sql不支持hive的OrcInputFormat格式