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Xiao Li 0ee9fbf51a [SPARK-19990][TEST] Use the database after Hive's current Database is dropped 
### What changes were proposed in this pull request?
This PR is to fix the following test failure in maven and the PR https://github.com/apache/spark/pull/15363.

> org.apache.spark.sql.hive.orc.OrcSourceSuite SPARK-19459/SPARK-18220: read char/varchar column written by Hive

The[ test history](https://spark-tests.appspot.com/test-details?suite_name=org.apache.spark.sql.hive.orc.OrcSourceSuite&test_name=SPARK-19459%2FSPARK-18220%3A+read+char%2Fvarchar+column+written+by+Hive) shows all the maven builds failed this test case with the same error message.

```
FAILED: SemanticException [Error 10072]: Database does not exist: db2

      org.apache.spark.sql.execution.QueryExecutionException: FAILED: SemanticException [Error 10072]: Database does not exist: db2
      at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$runHive$1.apply(HiveClientImpl.scala:637)
      at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$runHive$1.apply(HiveClientImpl.scala:621)
      at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$withHiveState$1.apply(HiveClientImpl.scala:288)
      at org.apache.spark.sql.hive.client.HiveClientImpl.liftedTree1$1(HiveClientImpl.scala:229)
      at org.apache.spark.sql.hive.client.HiveClientImpl.retryLocked(HiveClientImpl.scala:228)
      at org.apache.spark.sql.hive.client.HiveClientImpl.withHiveState(HiveClientImpl.scala:271)
      at org.apache.spark.sql.hive.client.HiveClientImpl.runHive(HiveClientImpl.scala:621)
      at org.apache.spark.sql.hive.client.HiveClientImpl.runSqlHive(HiveClientImpl.scala:611)
      at org.apache.spark.sql.hive.orc.OrcSuite$$anonfun$7.apply$mcV$sp(OrcSourceSuite.scala:160)
      at org.apache.spark.sql.hive.orc.OrcSuite$$anonfun$7.apply(OrcSourceSuite.scala:155)
      at org.apache.spark.sql.hive.orc.OrcSuite$$anonfun$7.apply(OrcSourceSuite.scala:155)
      at org.scalatest.Transformer$$anonfun$apply$1.apply$mcV$sp(Transformer.scala:22)
      at org.scalatest.OutcomeOf$class.outcomeOf(OutcomeOf.scala:85)
      at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
      at org.scalatest.Transformer.apply(Transformer.scala:22)
      at org.scalatest.Transformer.apply(Transformer.scala:20)
      at org.scalatest.FunSuiteLike$$anon$1.apply(FunSuiteLike.scala:166)
      at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:68)
      at org.scalatest.FunSuiteLike$class.invokeWithFixture$1(FunSuiteLike.scala:163)
      at org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:175)
```

### How was this patch tested?
N/A

Author: Xiao Li <gatorsmile@gmail.com>

Closes #17344 from gatorsmile/testtest.
2017-03-19 13:52:22 -07:00
..
catalyst [SPARK-19896][SQL] Throw an exception if case classes have circular references in toDS 2017-03-18 14:40:16 +08:00
core [SPARK-19896][SQL] Throw an exception if case classes have circular references in toDS 2017-03-18 14:40:16 +08:00
hive [SPARK-19990][TEST] Use the database after Hive's current Database is dropped 2017-03-19 13:52:22 -07:00
hive-thriftserver [SPARK-19673][SQL] "ThriftServer default app name is changed wrong" 2017-02-25 21:47:02 +00:00
README.md [SPARK-16557][SQL] Remove stale doc in sql/README.md 2016-07-14 19:24:42 -07:00

README.md

Spark SQL

This module provides support for executing relational queries expressed in either SQL or the DataFrame/Dataset API.

Spark SQL is broken up into four subprojects:

  • Catalyst (sql/catalyst) - An implementation-agnostic framework for manipulating trees of relational operators and expressions.
  • Execution (sql/core) - A query planner / execution engine for translating Catalyst's logical query plans into Spark RDDs. This component also includes a new public interface, SQLContext, that allows users to execute SQL or LINQ statements against existing RDDs and Parquet files.
  • Hive Support (sql/hive) - Includes an extension of SQLContext called HiveContext that allows users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allows users to run queries that include Hive UDFs, UDAFs, and UDTFs.
  • HiveServer and CLI support (sql/hive-thriftserver) - Includes support for the SQL CLI (bin/spark-sql) and a HiveServer2 (for JDBC/ODBC) compatible server.