1a62e6a2c1
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> |
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.. | ||
catalyst | ||
core | ||
hive | ||
hive-thriftserver | ||
create-docs.sh | ||
gen-sql-api-docs.py | ||
gen-sql-config-docs.py | ||
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.