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Jen-Ming Chung 7ab951885f [SPARK-21677][SQL] json_tuple throws NullPointException when column is null as string type 
## What changes were proposed in this pull request?
``` scala
scala> Seq(("""{"Hyukjin": 224, "John": 1225}""")).toDS.selectExpr("json_tuple(value, trim(null))").show()
...
java.lang.NullPointerException
	at ...
```

Currently the `null` field name will throw NullPointException. As a given field name null can't be matched with any field names in json, we just output null as its column value. This PR achieves it by returning a very unlikely column name `__NullFieldName` in evaluation of the field names.

## How was this patch tested?
Added unit test.

Author: Jen-Ming Chung <jenmingisme@gmail.com>

Closes #18930 from jmchung/SPARK-21677.
2017-08-17 15:59:45 -07:00
..
catalyst [SPARK-21677][SQL] json_tuple throws NullPointException when column is null as string type 2017-08-17 15:59:45 -07:00
core [SPARK-21677][SQL] json_tuple throws NullPointException when column is null as string type 2017-08-17 15:59:45 -07:00
hive [SPARK-18394][SQL] Make an AttributeSet.toSeq output order consistent 2017-08-17 22:47:14 +02:00
hive-thriftserver [SPARK-21428] Turn IsolatedClientLoader off while using builtin Hive jars for reusing CliSessionState 2017-08-18 00:24:45 +08:00
create-docs.sh [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
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 [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -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.

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