d1ef6be4c3
## What changes were proposed in this pull request? Reverted initialization of date-time constants in `DateTimeUtils` introduced by #23878. As a comment in [Delta repo](https://github.com/delta-io/delta) states, the compiler can do additional optimizations if values can be calculated at compile time: https://github.com/delta-io/delta/blob/master/src/main/scala/org/apache/spark/sql/delta/util/DateTimeUtils.scala#L63-L75 ## How was this patch tested? This was tested by existing test suites. Closes #25116 from MaxGekk/datetime-consts-init. Authored-by: Maxim Gekk <maxim.gekk@databricks.com> Signed-off-by: herman <herman@databricks.com> |
||
|---|---|---|
| .. | ||
| catalyst | ||
| core | ||
| hive | ||
| hive-thriftserver | ||
| create-docs.sh | ||
| gen-sql-markdown.py | ||
| mkdocs.yml | ||
| 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.