542aefb4c4
### What changes were proposed in this pull request? This removes the undocumented and incomplete feature of "stateful aggregation" in continuous mode, which would reduce 1100+ lines of code. ### Why are the changes needed? The work for the feature had been stopped for over an year, and no one asked/requested for the availability of such feature in community. Current state for the feature is that it only works with `coalesce(1)` which force the query to read and process, and write in "a" task, which doesn't make sense in production. The remaining code increases the work on DSv2 changes as well - that's why I don't simply propose reverting relevant commits - the code path has been changed due to DSv2 evolution. ### Does this PR introduce _any_ user-facing change? Technically no, because it's never documented and can't be used in production in current shape. ### How was this patch tested? Existing tests. Closes #29077 from HeartSaVioR/SPARK-31985. Authored-by: Jungtaek Lim (HeartSaVioR) <kabhwan.opensource@gmail.com> Signed-off-by: Jungtaek Lim (HeartSaVioR) <kabhwan.opensource@gmail.com> |
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catalyst | ||
core | ||
hive | ||
hive-thriftserver | ||
create-docs.sh | ||
gen-sql-api-docs.py | ||
gen-sql-config-docs.py | ||
gen-sql-functions-docs.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 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.