e3bd817d65
### What changes were proposed in this pull request? Unifies exceptions thrown from Spark under a single base trait `SparkError`, which unifies: - Error classes - Parametrized error messages - SQLSTATE, as discussed in http://apache-spark-developers-list.1001551.n3.nabble.com/DISCUSS-Add-error-IDs-td31126.html. ### Why are the changes needed? - Adding error classes creates a consistent label for exceptions, even as error messages change - Creating a single, centralized source-of-truth for parametrized error messages improves auditing for error message quality - Adding SQLSTATE helps ODBC/JDBC users receive standardized error codes ### Does this PR introduce _any_ user-facing change? Yes, changes ODBC experience by: - Adding error classes to error messages - Adding SQLSTATE to TStatus ### How was this patch tested? Unit tests, as well as local tests with PyODBC. Closes #32850 from karenfeng/SPARK-34920. Authored-by: Karen Feng <karen.feng@databricks.com> Signed-off-by: Wenchen Fan <wenchen@databricks.com> |
||
---|---|---|
.. | ||
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.