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Max Gekk 7b549c3e53 [SPARK-34455][SQL] Deprecate spark.sql.legacy.replaceDatabricksSparkAvro.enabled 
### What changes were proposed in this pull request?
1. Put the SQL config `spark.sql.legacy.replaceDatabricksSparkAvro.enabled` to the list of deprecated configs `deprecatedSQLConfigs`
2. Update docs for the Avro datasource
<img width="982" alt="Screenshot 2021-02-17 at 21 04 26" src="https://user-images.githubusercontent.com/1580697/108249890-abed7180-7166-11eb-8cb7-0c246d2a34fc.png">

### Why are the changes needed?
The config exists for enough time. We can deprecate it, and recommend users to use `.format("avro")` instead.

### Does this PR introduce _any_ user-facing change?
Should not except of the warning with the recommendation to use the `avro` format.

### How was this patch tested?
1. By generating docs via:
```
$ SKIP_API=1 SKIP_SCALADOC=1 SKIP_PYTHONDOC=1 SKIP_RDOC=1 jekyll serve --watch
```
2. Manually checking the warning:
```
scala> spark.conf.set("spark.sql.legacy.replaceDatabricksSparkAvro.enabled", false)
21/02/17 21:20:18 WARN SQLConf: The SQL config 'spark.sql.legacy.replaceDatabricksSparkAvro.enabled' has been deprecated in Spark v3.2 and may be removed in the future. Use `.format("avro")` in `DataFrameWriter` or `DataFrameReader` instead.
```

Closes #31578 from MaxGekk/deprecate-replaceDatabricksSparkAvro.

Authored-by: Max Gekk <max.gekk@gmail.com>
Signed-off-by: Dongjoon Hyun <dhyun@apple.com>
2021-02-17 21:54:20 -08:00
..
catalyst [SPARK-34455][SQL] Deprecate spark.sql.legacy.replaceDatabricksSparkAvro.enabled 2021-02-17 21:54:20 -08:00
core [SPARK-34456][SQL] Remove unused write options from BatchWriteHelper 2021-02-17 17:25:26 -08:00
hive [SPARK-34451][SQL] Add alternatives for datetime rebasing SQL configs and deprecate legacy configs 2021-02-17 14:04:47 +00:00
hive-thriftserver [SPARK-34346][CORE][SQL] io.file.buffer.size set by spark.buffer.size will override by loading hive-site.xml accidentally may cause perf regression 2021-02-05 10:13:19 +09:00
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-34022][DOCS][FOLLOW-UP] Fix typo in SQL built-in function docs 2021-01-06 09:28:22 -08:00
gen-sql-config-docs.py [SPARK-31550][SQL][DOCS] Set nondeterministic configurations with general meanings in sql configuration doc 2020-04-27 17:08:52 +09:00
gen-sql-functions-docs.py [SPARK-31562][SQL] Update ExpressionDescription for substring, current_date, and current_timestamp 2020-04-26 11:46:52 -07:00
mkdocs.yml [SPARK-30731] Update deprecated Mkdocs option 2020-02-19 17:28:58 +09:00
README.md [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00

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.