spark-instrumented-optimizer/sql
Lukas Rytz 1a62e6a2c1 [SPARK-36712][BUILD] Make scala-parallel-collections in 2.13 POM a direct dependency (not in maven profile)
As [reported on `devspark.apache.org`](https://lists.apache.org/thread.html/r84cff66217de438f1389899e6d6891b573780159cd45463acf3657aa%40%3Cdev.spark.apache.org%3E), the published POMs when building with Scala 2.13 have the `scala-parallel-collections` dependency only in the `scala-2.13` profile of the pom.

### What changes were proposed in this pull request?

This PR suggests to work around this by un-commenting the `scala-parallel-collections` dependency when switching to 2.13 using the the `change-scala-version.sh` script.

I included an upgrade to scala-parallel-collections version 1.0.3, the changes compared to 0.2.0 are minor.
  - removed OSGi metadata
  - renamed some internal inner classes
  - added `Automatic-Module-Name`

### Why are the changes needed?

According to the posts, this solves issues for developers that write unit tests for their applications.

Stephen Coy suggested to use the https://www.mojohaus.org/flatten-maven-plugin. While this sounds like a more principled solution, it is possibly too risky to do at this specific point in time?

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

No

### How was this patch tested?

Locally

Closes #33948 from lrytz/parCollDep.

Authored-by: Lukas Rytz <lukas.rytz@gmail.com>
Signed-off-by: Sean Owen <srowen@gmail.com>
2021-09-13 11:06:50 -05:00
..
catalyst [SPARK-36712][BUILD] Make scala-parallel-collections in 2.13 POM a direct dependency (not in maven profile) 2021-09-13 11:06:50 -05:00
core [SPARK-36712][BUILD] Make scala-parallel-collections in 2.13 POM a direct dependency (not in maven profile) 2021-09-13 11:06:50 -05:00
hive [SPARK-36712][BUILD] Make scala-parallel-collections in 2.13 POM a direct dependency (not in maven profile) 2021-09-13 11:06:50 -05:00
hive-thriftserver [SPARK-36712][BUILD] Make scala-parallel-collections in 2.13 POM a direct dependency (not in maven profile) 2021-09-13 11:06:50 -05:00
create-docs.sh [SPARK-34010][SQL][DODCS] Use python3 instead of python in SQL documentation build 2021-01-05 19:48:10 +09:00
gen-sql-api-docs.py [SPARK-34747][SQL][DOCS] Add virtual operators to the built-in function document 2021-03-19 10:19:26 +09:00
gen-sql-config-docs.py [SPARK-36657][SQL] Update comment in 'gen-sql-config-docs.py' 2021-09-02 18:50:59 -07:00
gen-sql-functions-docs.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, and SQL configuration documentation that gets included as part of configuration.md in the main docs directory.