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Dilip Biswal b60ee3a337 [SPARK-25307][SQL] ArraySort function may return an error in the code generation phase 
## What changes were proposed in this pull request?
Sorting array of booleans (not nullable) returns a compilation error in the code generation phase. Below is the compilation error :
```SQL
java.util.concurrent.ExecutionException: org.codehaus.commons.compiler.CompileException: File 'generated.java', Line 51, Column 23: failed to compile: org.codehaus.commons.compiler.CompileException: File 'generated.java', Line 51, Column 23: No applicable constructor/method found for actual parameters "boolean[]"; candidates are: "public static void java.util.Arrays.sort(long[])", "public static void java.util.Arrays.sort(long[], int, int)", "public static void java.util.Arrays.sort(byte[], int, int)", "public static void java.util.Arrays.sort(float[])", "public static void java.util.Arrays.sort(float[], int, int)", "public static void java.util.Arrays.sort(char[])", "public static void java.util.Arrays.sort(char[], int, int)", "public static void java.util.Arrays.sort(short[], int, int)", "public static void java.util.Arrays.sort(short[])", "public static void java.util.Arrays.sort(byte[])", "public static void java.util.Arrays.sort(java.lang.Object[], int, int, java.util.Comparator)", "public static void java.util.Arrays.sort(java.lang.Object[], java.util.Comparator)", "public static void java.util.Arrays.sort(int[])", "public static void java.util.Arrays.sort(java.lang.Object[], int, int)", "public static void java.util.Arrays.sort(java.lang.Object[])", "public static void java.util.Arrays.sort(double[])", "public static void java.util.Arrays.sort(double[], int, int)", "public static void java.util.Arrays.sort(int[], int, int)"
	at com.google.common.util.concurrent.AbstractFuture$Sync.getValue(AbstractFuture.java:306)
	at com.google.common.util.concurrent.AbstractFuture$Sync.get(AbstractFuture.java:293)
	at com.google.common.util.concurrent.AbstractFuture.get(AbstractFuture.java:116)
	at com.google.common.util.concurrent.Uninterruptibles.getUninterruptibly(Uninterruptibles.java:135)
	at com.google.common.cache.LocalCache$Segment.getAndRecordStats(LocalCache.java:2410)
	at com.google.common.cache.LocalCache$Segment.loadSync(LocalCache.java:2380)
	at com.google.common.cache.LocalCache$Segment.lockedGetOrLoad(LocalCache.java:2342)
	at com.google.common.cache.LocalCache$Segment.get(LocalCache.java:2257)
	at com.google.common.cache.LocalCache.get(LocalCache.java:4000)
	at com.google.common.cache.LocalCache.getOrLoad(LocalCache.java:4004)
	at com.google.common.cache.LocalCache$LocalLoadingCache.get(LocalCache.java:4874)
	at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$.compile(CodeGenerator.scala:1305)

```

## How was this patch tested?
Added test in collectionExpressionSuite

Closes #22314 from dilipbiswal/SPARK-25307.

Authored-by: Dilip Biswal <dbiswal@us.ibm.com>
Signed-off-by: Takuya UESHIN <ueshin@databricks.com>
2018-09-04 13:39:29 +09:00
..
catalyst [SPARK-25307][SQL] ArraySort function may return an error in the code generation phase 2018-09-04 13:39:29 +09:00
core [SPARK-25296][SQL][TEST] Create ExplainSuite 2018-08-31 08:47:20 -07:00
hive [SPARK-25304][SPARK-8489][SQL][TEST] Fix HiveSparkSubmitSuite test for Scala 2.12 2018-09-02 21:57:06 -05:00
hive-thriftserver [SPARK-25183][SQL] Spark HiveServer2 to use Spark ShutdownHookManager 2018-08-31 14:45:29 +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.