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Chris Horn b0d6967d45 [SPARK-24788][SQL] RelationalGroupedDataset.toString with unresolved exprs should not fail 
## What changes were proposed in this pull request?
In the current master, `toString` throws an exception when `RelationalGroupedDataset` has unresolved expressions;
```
scala> spark.range(0, 10).groupBy("id")
res4: org.apache.spark.sql.RelationalGroupedDataset = RelationalGroupedDataset: [grouping expressions: [id: bigint], value: [id: bigint], type: GroupBy]

scala> spark.range(0, 10).groupBy('id)
org.apache.spark.sql.catalyst.analysis.UnresolvedException: Invalid call to dataType on unresolved object, tree: 'id
  at org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute.dataType(unresolved.scala:105)
  at org.apache.spark.sql.RelationalGroupedDataset$$anonfun$12.apply(RelationalGroupedDataset.scala:474)
  at org.apache.spark.sql.RelationalGroupedDataset$$anonfun$12.apply(RelationalGroupedDataset.scala:473)
  at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
  at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
  at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
  at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
  at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
  at scala.collection.AbstractTraversable.map(Traversable.scala:104)
  at org.apache.spark.sql.RelationalGroupedDataset.toString(RelationalGroupedDataset.scala:473)
  at scala.runtime.ScalaRunTime$.scala$runtime$ScalaRunTime$$inner$1(ScalaRunTime.scala:332)
  at scala.runtime.ScalaRunTime$.stringOf(ScalaRunTime.scala:337)
  at scala.runtime.ScalaRunTime$.replStringOf(ScalaRunTime.scala:345)
```
This pr fixed code to handle the unresolved case in `RelationalGroupedDataset.toString`.

Closes #21752

## How was this patch tested?
Added tests in `DataFrameAggregateSuite`.

Author: Chris Horn <chorn4033@gmail.com>
Author: Takeshi Yamamuro <yamamuro@apache.org>

Closes #21964 from maropu/SPARK-24788.
2018-08-02 22:40:58 -07:00
..
catalyst [SPARK-24966][SQL] Implement precedence rules for set operations. 2018-08-02 22:04:17 -07:00
core [SPARK-24788][SQL] RelationalGroupedDataset.toString with unresolved exprs should not fail 2018-08-02 22:40:58 -07:00
hive [SPARK-14540][CORE] Fix remaining major issues for Scala 2.12 Support 2018-08-02 09:17:09 -05:00
hive-thriftserver [SPARK-24829][STS] In Spark Thrift Server, CAST AS FLOAT inconsistent with spark-shell or spark-sql 2018-07-27 13:27:17 +08:00
create-docs.sh [MINOR][DOCS] Minor doc fixes related with doc build and uses script dir in SQL doc gen script 2017-08-26 13:56:24 +09:00
gen-sql-markdown.py [SPARK-21485][FOLLOWUP][SQL][DOCS] Describes examples and arguments separately, and note/since in SQL built-in function documentation 2017-08-05 10:10:56 -07:00
mkdocs.yml [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
README.md [MINOR][DOC] Fix some typos and grammar issues 2018-04-06 13:37:08 +08:00

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 allow 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.

Running sql/create-docs.sh generates SQL documentation for built-in functions under sql/site.