ee83d09b53
### 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> |
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.. | ||
catalyst | ||
core | ||
hive | ||
hive-thriftserver | ||
create-docs.sh | ||
gen-sql-markdown.py | ||
mkdocs.yml | ||
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 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
.