115b8a180f
### What changes were proposed in this pull request? Try to capture the error message from the `faulthandler` when the Python worker crashes. ### Why are the changes needed? Currently, we just see an error message saying `"exited unexpectedly (crashed)"` when the UDFs causes the Python worker to crash by like segmentation fault. We should take advantage of [`faulthandler`](https://docs.python.org/3/library/faulthandler.html) and try to capture the error message from the `faulthandler`. ### Does this PR introduce _any_ user-facing change? Yes, when a Spark config `spark.python.worker.faulthandler.enabled` is `true`, the stack trace will be seen in the error message when the Python worker crashes. ```py >>> def f(): ... import ctypes ... ctypes.string_at(0) ... >>> sc.parallelize([1]).map(lambda x: f()).count() ``` ``` org.apache.spark.SparkException: Python worker exited unexpectedly (crashed): Fatal Python error: Segmentation fault Current thread 0x000000010965b5c0 (most recent call first): File "/.../ctypes/__init__.py", line 525 in string_at File "<stdin>", line 3 in f File "<stdin>", line 1 in <lambda> ... ``` ### How was this patch tested? Added some tests, and manually. Closes #33273 from ueshin/issues/SPARK-36062/faulthandler. Authored-by: Takuya UESHIN <ueshin@databricks.com> 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.