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yi.wu 463c54419b [SPARK-31010][SQL][DOC][FOLLOW-UP] Improve deprecated warning message for untyped scala udf 
### What changes were proposed in this pull request?

Give more friendly warning message/migration guide of deprecated scala udf to users.

### Why are the changes needed?

User can not distinguish function signature between typed and untyped scala udf. Instead, we shall tell user what to do directly.

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

No, it's newly added in Spark 3.0.

### How was this patch tested?

Pass Jenkins.

Closes #28311 from Ngone51/update_udf_doc.

Authored-by: yi.wu <yi.wu@databricks.com>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
2020-04-24 19:10:18 +09:00
..
catalyst [SPARK-31488][SQL] Support java.time.LocalDate in Parquet filter pushdown 2020-04-24 02:21:53 +00:00
core [SPARK-31010][SQL][DOC][FOLLOW-UP] Improve deprecated warning message for untyped scala udf 2020-04-24 19:10:18 +09:00
hive [SPARK-31522][SQL] Hive metastore client initialization related configurations should be static 2020-04-23 15:07:44 +00:00
hive-thriftserver [SPARK-31381][SPARK-29245][SQL] Upgrade built-in Hive 2.3.6 to 2.3.7 2020-04-20 13:38:24 -07:00
create-docs.sh [SPARK-31498][SQL][DOCS] Dump public static sql configurations through doc generation 2020-04-22 10:16:39 +00:00
gen-sql-api-docs.py [SPARK-31474][SQL][FOLLOWUP] Replace _FUNC_ placeholder with functionname in the note field of expression info 2020-04-23 13:33:04 +09:00
gen-sql-config-docs.py [SPARK-31498][SQL][DOCS] Dump public static sql configurations through doc generation 2020-04-22 10:16:39 +00:00
gen-sql-functions-docs.py [SPARK-31429][SQL][DOC] Automatically generates a SQL document for built-in functions 2020-04-21 10:55:13 +09:00
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.