spark-instrumented-optimizer/sql
Sean Owen ee83d09b53 [SPARK-29401][CORE][ML][SQL][GRAPHX][TESTS] Replace calls to .parallelize Arrays of tuples, ambiguous in Scala 2.13, with Seqs of tuples
### What changes were proposed in this pull request?

Invocations like `sc.parallelize(Array((1,2)))` cause a compile error in 2.13, like:
```
[ERROR] [Error] /Users/seanowen/Documents/spark_2.13/core/src/test/scala/org/apache/spark/ShuffleSuite.scala:47: overloaded method value apply with alternatives:
  (x: Unit,xs: Unit*)Array[Unit] <and>
  (x: Double,xs: Double*)Array[Double] <and>
  (x: Float,xs: Float*)Array[Float] <and>
  (x: Long,xs: Long*)Array[Long] <and>
  (x: Int,xs: Int*)Array[Int] <and>
  (x: Char,xs: Char*)Array[Char] <and>
  (x: Short,xs: Short*)Array[Short] <and>
  (x: Byte,xs: Byte*)Array[Byte] <and>
  (x: Boolean,xs: Boolean*)Array[Boolean]
 cannot be applied to ((Int, Int), (Int, Int), (Int, Int), (Int, Int))
```
Using a `Seq` instead appears to resolve it, and is effectively equivalent.

### Why are the changes needed?

To better cross-build for 2.13.

### Does this PR introduce any user-facing change?

None.

### How was this patch tested?

Existing tests.

Closes #26062 from srowen/SPARK-29401.

Authored-by: Sean Owen <sean.owen@databricks.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2019-10-08 20:22:02 -07:00
..
catalyst [SPARK-29392][CORE][SQL][STREAMING] Remove symbol literal syntax 'foo, deprecated in Scala 2.13, in favor of Symbol("foo") 2019-10-08 20:15:37 -07:00
core [SPARK-29401][CORE][ML][SQL][GRAPHX][TESTS] Replace calls to .parallelize Arrays of tuples, ambiguous in Scala 2.13, with Seqs of tuples 2019-10-08 20:22:02 -07:00
hive [SPARK-29392][CORE][SQL][STREAMING] Remove symbol literal syntax 'foo, deprecated in Scala 2.13, in favor of Symbol("foo") 2019-10-08 20:15:37 -07:00
hive-thriftserver [SPARK-29022][SQL] Fix SparkSQLCLI can not add jars by AddJarCommand 2019-10-01 10:09:29 -05:00
create-docs.sh
gen-sql-markdown.py [SPARK-27328][SQL] Add 'deprecated' in ExpressionDescription for extended usage and SQL doc 2019-04-09 13:49:42 +08:00
mkdocs.yml
README.md [SPARK-28980][CORE][SQL][STREAMING][MLLIB] Remove most items deprecated in Spark 2.2.0 or earlier, for Spark 3 2019-09-09 10:19:40 -05:00

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 extensions that allow 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.