20e8843350
## What changes were proposed in this pull request?
I believe the log message: `Committer $committerClass is not a ParquetOutputCommitter and cannot create job summaries. Set Parquet option ${ParquetOutputFormat.JOB_SUMMARY_LEVEL} to NONE.` is at odds with the `if` statement that logs the warning. Despite the instructions in the warning, users still encounter the warning if `JOB_SUMMARY_LEVEL` is already set to `NONE`.
This pull request introduces a change to skip logging the warning if `JOB_SUMMARY_LEVEL` is set to `NONE`.
## How was this patch tested?
I built to make sure everything still compiled and I ran the existing test suite. I didn't feel it was worth the overhead to add a test to make sure a log message does not get logged, but if reviewers feel differently, I can add one.
Closes #24808 from jmsanders/master.
Authored-by: Jordan Sanders <jmsanders@users.noreply.github.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 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.