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Takuya UESHIN 55111cafd1 [SPARK-36062][PYTHON] Try to capture faulthanlder when a Python worker crashes 
### 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>
(cherry picked from commit 115b8a180f)
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>
2021-07-09 11:31:00 +09:00
..
catalyst [SPARK-36049][SQL] Remove IntervalUnit 2021-07-08 23:02:35 +03:00
core [SPARK-36062][PYTHON] Try to capture faulthanlder when a Python worker crashes 2021-07-09 11:31:00 +09:00
hive [SPARK-36012][SQL] Add null flag in SHOW CREATE TABLE 2021-07-09 01:21:57 +08:00
hive-thriftserver [SPARK-35958][CORE] Refactor SparkError.scala to SparkThrowable.java 2021-07-08 23:55:11 +08:00
create-docs.sh [SPARK-34010][SQL][DODCS] Use python3 instead of python in SQL documentation build 2021-01-05 19:48:10 +09:00
gen-sql-api-docs.py [SPARK-34747][SQL][DOCS] Add virtual operators to the built-in function document 2021-03-19 10:19:26 +09:00
gen-sql-config-docs.py [SPARK-32194][PYTHON] Use proper exception classes instead of plain Exception 2021-05-26 11:54:40 +09:00
gen-sql-functions-docs.py
mkdocs.yml
README.md

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.