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Max Gekk 88d39e5a89 [SPARK-31385][SQL] Restrict micros rebasing via switch arrays up to 2037 year 
### What changes were proposed in this pull request?
1. Generate rebasing arrays for micros up to 2037 in `RebaseDateTimeSuite.generateRebaseJson()`.
2. Exclude 4 time zones from the black list in `generateRebaseJson()`.
3. Re-generate JSON files with rebasing info - `gregorian-julian-rebase-micros.json` and `julian-gregorian-rebase-micros.json`.

### Why are the changes needed?
1. `sun.util.calendar.ZoneInfo` resolves DST after 2037 year incorrectly. See aa318070b2/jdk/src/share/classes/sun/util/calendar/ZoneInfo.java (L55-L62) . By restricting the rebase arrays to 2037 year, we follow the behaviour of `ZoneInfo` which uses DST of 2037 for all years beyond 2037.
2. To enable optimization of micros rebasing via switch arrays for the time zones:
    - Asia/Tehran
    - Iran
    - Africa/Casablanca
    - Africa/El_Aaiun

### Does this PR introduce any user-facing change?
No

### How was this patch tested?
By existing test suites `RebaseDateTimeUtils`, `DateTimeUtilsSuite` and `DateFunctionsSuite`.

Closes #28253 from MaxGekk/fix-4-time-zones-rebasing.

Authored-by: Max Gekk <max.gekk@gmail.com>
Signed-off-by: Wenchen Fan <wenchen@databricks.com>
2020-04-20 06:35:16 +00:00
..
catalyst [SPARK-31385][SQL] Restrict micros rebasing via switch arrays up to 2037 year 2020-04-20 06:35:16 +00:00
core [SPARK-31256][SQL] DataFrameNaFunctions.drop should work for nested columns 2020-04-20 02:59:09 +00:00
hive [SPARK-31425][SQL][CORE] UnsafeKVExternalSorter/VariableLengthRowBasedKeyValueBatch should also respect UnsafeAlignedOffset 2020-04-17 04:48:27 +00:00
hive-thriftserver [SPARK-31291][SQL][TEST][FOLLOWUP] Fix resource loading error in ThriftServerQueryTestSuite 2020-04-11 08:23:59 -07:00
create-docs.sh [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00
gen-sql-api-docs.py [SPARK-30510][SQL][DOCS] Publicly document Spark SQL configuration options 2020-02-09 19:20:47 +09:00
gen-sql-config-docs.py [SPARK-30840][CORE][SQL] Add version property for ConfigEntry and ConfigBuilder 2020-02-22 09:46:42 +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.