20750a3f9e
### What changes were proposed in this pull request? This PR proposes to use a proper built-in exceptions instead of the plain `Exception` in Python. While I am here, I fixed another minor issue at `DataFrams.schema` together: ```diff - except AttributeError as e: - raise Exception( - "Unable to parse datatype from schema. %s" % e) + except Exception as e: + raise ValueError( + "Unable to parse datatype from schema. %s" % e) from e ``` Now it catches all exceptions during schema parsing, chains the exception with `ValueError`. Previously it only caught `AttributeError` that does not catch all cases. ### Why are the changes needed? For users to expect the proper exceptions. ### Does this PR introduce _any_ user-facing change? Yeah, the exception classes became different but should be compatible because previous exception was plain `Exception` which other exceptions inherit. ### How was this patch tested? Existing unittests should cover, Closes #31238 Closes #32650 from HyukjinKwon/SPARK-32194. Authored-by: Hyukjin Kwon <gurwls223@apache.org> Signed-off-by: Hyukjin Kwon <gurwls223@apache.org> |
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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.