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Dongjoon Hyun 1ca6b8bc3d
[SPARK-26379][SS][FOLLOWUP] Use dummy TimeZoneId to avoid UnresolvedException in CurrentBatchTimestamp 
## What changes were proposed in this pull request?

Spark replaces `CurrentTimestamp` with `CurrentBatchTimestamp`.
However, `CurrentBatchTimestamp` is `TimeZoneAwareExpression` while `CurrentTimestamp` isn't.
Without TimeZoneId, `CurrentBatchTimestamp` becomes unresolved and raises `UnresolvedException`.

Since `CurrentDate` is `TimeZoneAwareExpression`, there is no problem with `CurrentDate`.

This PR reverts the [previous patch](https://github.com/apache/spark/pull/23609) on `MicroBatchExecution` and fixes the root cause.

## How was this patch tested?

Pass the Jenkins with the updated test cases.

Closes #23660 from dongjoon-hyun/SPARK-26379.

Authored-by: Dongjoon Hyun <dongjoon@apache.org>
Signed-off-by: Dongjoon Hyun <dongjoon@apache.org>
2019-01-27 10:04:51 -08:00
..
catalyst [SPARK-26735][SQL] Verify plan integrity for special expressions 2019-01-26 22:26:10 -08:00
core [SPARK-26379][SS][FOLLOWUP] Use dummy TimeZoneId to avoid UnresolvedException in CurrentBatchTimestamp 2019-01-27 10:04:51 -08:00
hive [SPARK-26630][SQL] Support reading Hive-serde tables whose INPUTFORMAT is org.apache.hadoop.mapreduce 2019-01-26 10:17:03 -08:00
hive-thriftserver [SPARK-26254][CORE] Extract Hive + Kafka dependencies from Core. 2019-01-25 10:36:00 -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-21485][FOLLOWUP][SQL][DOCS] Describes examples and arguments separately, and note/since in SQL built-in function documentation 2017-08-05 10:10:56 -07:00
mkdocs.yml [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
README.md [MINOR][DOC] Fix some typos and grammar issues 2018-04-06 13:37:08 +08:00

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 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.