spark-instrumented-optimizer/sql
Dilip Biswal dd4f088c1d [SPARK-18009][SQL] Fix ClassCastException while calling toLocalIterator() on dataframe produced by RunnableCommand
## What changes were proposed in this pull request?
A short code snippet that uses toLocalIterator() on a dataframe produced by a RunnableCommand
reproduces the problem. toLocalIterator() is called by thriftserver when
`spark.sql.thriftServer.incrementalCollect`is set to handle queries producing large result
set.

**Before**
```SQL
scala> spark.sql("show databases")
res0: org.apache.spark.sql.DataFrame = [databaseName: string]

scala> res0.toLocalIterator()
16/10/26 03:00:24 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0)
java.lang.ClassCastException: org.apache.spark.sql.catalyst.expressions.GenericInternalRow cannot be cast to org.apache.spark.sql.catalyst.expressions.UnsafeRow
```

**After**
```SQL
scala> spark.sql("drop database databases")
res30: org.apache.spark.sql.DataFrame = []

scala> spark.sql("show databases")
res31: org.apache.spark.sql.DataFrame = [databaseName: string]

scala> res31.toLocalIterator().asScala foreach println
[default]
[parquet]
```
## How was this patch tested?
Added a test in DDLSuite

Author: Dilip Biswal <dbiswal@us.ibm.com>

Closes #15642 from dilipbiswal/SPARK-18009.
2016-10-27 13:12:14 +08:00
..
catalyst [SPARK-17770][CATALYST] making ObjectType public 2016-10-26 18:03:31 -07:00
core [SPARK-18009][SQL] Fix ClassCastException while calling toLocalIterator() on dataframe produced by RunnableCommand 2016-10-27 13:12:14 +08:00
hive [SPARK-18026][SQL] should not always lowercase partition columns of partition spec in parser 2016-10-25 15:00:33 +08:00
hive-thriftserver [SPARK-17819][SQL] Support default database in connection URIs for Spark Thrift Server 2016-10-16 20:15:32 -07:00
README.md [SPARK-16557][SQL] Remove stale doc in sql/README.md 2016-07-14 19:24:42 -07:00

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.