d28ca9cc98
### What changes were proposed in this pull request? In the PR, I propose to catch all non-fatal exceptions coming `refreshTable()` at the final stage of table repairing, and output an error message instead of failing with an exception. ### Why are the changes needed? 1. The uncaught exceptions from table refreshing might be considered as regression comparing to previous Spark versions. Table refreshing was introduced by https://github.com/apache/spark/pull/31066. 2. This should improve user experience with Spark SQL. For instance, when the `MSCK REPAIR TABLE` is performed in a chain of command in SQL where catching exception is difficult or even impossible. ### Does this PR introduce _any_ user-facing change? Yes. Before the changes the `MSCK REPAIR TABLE` command can fail with the exception portrayed in SPARK-35935. After the changes, the same command outputs error message, and completes successfully. ### How was this patch tested? By existing test suites. Closes #33137 from MaxGekk/msck-repair-catch-except. Authored-by: Max Gekk <max.gekk@gmail.com> Signed-off-by: Max Gekk <max.gekk@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.