ODIn/spark-instrumented-optimizer
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity
spark-instrumented-optimizer/sql
History
HyukjinKwon 882f54b0a3 [SPARK-29870][SQL][FOLLOW-UP] Keep CalendarInterval's toString 
### What changes were proposed in this pull request?

This is a followup of https://github.com/apache/spark/pull/26418. This PR removed `CalendarInterval`'s `toString` with an unfinished changes.

### Why are the changes needed?

1. Ideally we should make each PR isolated and separate targeting one issue without touching unrelated codes.

2. There are some other places where the string formats were exposed to users. For example:

    ```scala
    scala> sql("select interval 1 days as a").selectExpr("to_csv(struct(a))").show()
    ```
    ```
    +--------------------------+
    |to_csv(named_struct(a, a))|
    +--------------------------+
    |      "CalendarInterval...|
    +--------------------------+
    ```

3.  Such fixes:

    ```diff
     private def writeMapData(
        map: MapData, mapType: MapType, fieldWriter: ValueWriter): Unit = {
      val keyArray = map.keyArray()
    + val keyString = mapType.keyType match {
    +   case CalendarIntervalType =>
    +    (i: Int) => IntervalUtils.toMultiUnitsString(keyArray.getInterval(i))
    +   case _ => (i: Int) => keyArray.get(i, mapType.keyType).toString
    + }
    ```

    can cause performance regression due to type dispatch for each map.

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

Yes, see 2. case above.

### How was this patch tested?

Manually tested.

Closes #26572 from HyukjinKwon/SPARK-29783.

Authored-by: HyukjinKwon <gurwls223@apache.org>
Signed-off-by: HyukjinKwon <gurwls223@apache.org>
2019-11-19 09:11:41 +09:00
..
catalyst [SPARK-29870][SQL][FOLLOW-UP] Keep CalendarInterval's toString 2019-11-19 09:11:41 +09:00
core [SPARK-25694][SQL][FOLLOW-UP] Move 'spark.sql.defaultUrlStreamHandlerFactory.enabled' into StaticSQLConf.scala 2019-11-19 09:08:20 +09:00
hive [SPARK-29923][SQL][TESTS] Set io.netty.tryReflectionSetAccessible for Arrow on JDK9+ 2019-11-15 23:58:15 -08:00
hive-thriftserver [SPARK-29783][SQL] Support SQL Standard/ISO_8601 output style for interval type 2019-11-18 15:42:22 +08:00
create-docs.sh [MINOR][DOCS] Minor doc fixes related with doc build and uses script dir in SQL doc gen script 2017-08-26 13:56:24 +09:00
gen-sql-markdown.py [SPARK-27328][SQL] Add 'deprecated' in ExpressionDescription for extended usage and SQL doc 2019-04-09 13:49:42 +08:00
mkdocs.yml [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
README.md [SPARK-28980][CORE][SQL][STREAMING][MLLIB] Remove most items deprecated in Spark 2.2.0 or earlier, for Spark 3 2019-09-09 10:19:40 -05:00

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.