5dab5f651f
## What changes were proposed in this pull request? In the first PR for file source V2, there was a rule for falling back Orc V2 table to OrcFileFormat: https://github.com/apache/spark/pull/23383/files#diff-57e8244b6964e4f84345357a188421d5R34 As we are migrating more file sources to data source V2, we should make the rule more generic. This PR proposes to: 1. Rename the rule `FallbackOrcDataSourceV2 ` to `FallBackFileSourceV2`.The name is more generic. And we use "fall back" as verb, while "fallback" is noun. 2. Rename the method `fallBackFileFormat` in `FileDataSourceV2` to `fallbackFileFormat`. Here we should use "fallback" as noun. 3. Add new method `fallbackFileFormat` in `FileTable`. This is for falling back to V1 in rule `FallbackOrcDataSourceV2 `. ## How was this patch tested? Existing Unit tests. Closes #24251 from gengliangwang/fallbackV1Rule. Authored-by: Gengliang Wang <gengliang.wang@databricks.com> Signed-off-by: Dongjoon Hyun <dhyun@apple.com> |
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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
.