spark-instrumented-optimizer/sql
cclauss 71f38ac242 [SPARK-23698][PYTHON] Resolve undefined names in Python 3
## What changes were proposed in this pull request?

Fix issues arising from the fact that builtins __file__, __long__, __raw_input()__, __unicode__, __xrange()__, etc. were all removed from Python 3.  __Undefined names__ have the potential to raise [NameError](https://docs.python.org/3/library/exceptions.html#NameError) at runtime.

## How was this patch tested?
* $ __python2 -m flake8 . --count --select=E9,F82 --show-source --statistics__
* $ __python3 -m flake8 . --count --select=E9,F82 --show-source --statistics__

holdenk

flake8 testing of https://github.com/apache/spark on Python 3.6.3

$ __python3 -m flake8 . --count --select=E901,E999,F821,F822,F823 --show-source --statistics__
```
./dev/merge_spark_pr.py:98:14: F821 undefined name 'raw_input'
    result = raw_input("\n%s (y/n): " % prompt)
             ^
./dev/merge_spark_pr.py:136:22: F821 undefined name 'raw_input'
    primary_author = raw_input(
                     ^
./dev/merge_spark_pr.py:186:16: F821 undefined name 'raw_input'
    pick_ref = raw_input("Enter a branch name [%s]: " % default_branch)
               ^
./dev/merge_spark_pr.py:233:15: F821 undefined name 'raw_input'
    jira_id = raw_input("Enter a JIRA id [%s]: " % default_jira_id)
              ^
./dev/merge_spark_pr.py:278:20: F821 undefined name 'raw_input'
    fix_versions = raw_input("Enter comma-separated fix version(s) [%s]: " % default_fix_versions)
                   ^
./dev/merge_spark_pr.py:317:28: F821 undefined name 'raw_input'
            raw_assignee = raw_input(
                           ^
./dev/merge_spark_pr.py:430:14: F821 undefined name 'raw_input'
    pr_num = raw_input("Which pull request would you like to merge? (e.g. 34): ")
             ^
./dev/merge_spark_pr.py:442:18: F821 undefined name 'raw_input'
        result = raw_input("Would you like to use the modified title? (y/n): ")
                 ^
./dev/merge_spark_pr.py:493:11: F821 undefined name 'raw_input'
    while raw_input("\n%s (y/n): " % pick_prompt).lower() == "y":
          ^
./dev/create-release/releaseutils.py:58:16: F821 undefined name 'raw_input'
    response = raw_input("%s [y/n]: " % msg)
               ^
./dev/create-release/releaseutils.py:152:38: F821 undefined name 'unicode'
        author = unidecode.unidecode(unicode(author, "UTF-8")).strip()
                                     ^
./python/setup.py:37:11: F821 undefined name '__version__'
VERSION = __version__
          ^
./python/pyspark/cloudpickle.py:275:18: F821 undefined name 'buffer'
        dispatch[buffer] = save_buffer
                 ^
./python/pyspark/cloudpickle.py:807:18: F821 undefined name 'file'
        dispatch[file] = save_file
                 ^
./python/pyspark/sql/conf.py:61:61: F821 undefined name 'unicode'
        if not isinstance(obj, str) and not isinstance(obj, unicode):
                                                            ^
./python/pyspark/sql/streaming.py:25:21: F821 undefined name 'long'
    intlike = (int, long)
                    ^
./python/pyspark/streaming/dstream.py:405:35: F821 undefined name 'long'
        return self._sc._jvm.Time(long(timestamp * 1000))
                                  ^
./sql/hive/src/test/resources/data/scripts/dumpdata_script.py:21:10: F821 undefined name 'xrange'
for i in xrange(50):
         ^
./sql/hive/src/test/resources/data/scripts/dumpdata_script.py:22:14: F821 undefined name 'xrange'
    for j in xrange(5):
             ^
./sql/hive/src/test/resources/data/scripts/dumpdata_script.py:23:18: F821 undefined name 'xrange'
        for k in xrange(20022):
                 ^
20    F821 undefined name 'raw_input'
20
```

Closes #20838 from cclauss/fix-undefined-names.

Authored-by: cclauss <cclauss@bluewin.ch>
Signed-off-by: Bryan Cutler <cutlerb@gmail.com>
2018-08-22 10:06:59 -07:00
..
catalyst [SPARK-25093][SQL] Avoid recompiling regexp for comments multiple times 2018-08-22 14:31:51 +08:00
core [SPARK-24882][SQL] improve data source v2 API 2018-08-22 00:10:55 -07:00
hive [SPARK-23698][PYTHON] Resolve undefined names in Python 3 2018-08-22 10:06:59 -07:00
hive-thriftserver [SPARK-25043] print master and appId from spark-sql on startup 2018-08-14 13:15:55 -05:00
create-docs.sh [MINOR][DOCS] Minor doc fixes related with doc build and uses script dir in SQL doc gen script 2017-08-26 13:56:24 +09:00
gen-sql-markdown.py [SPARK-21485][FOLLOWUP][SQL][DOCS] Describes examples and arguments separately, and note/since in SQL built-in function documentation 2017-08-05 10:10:56 -07:00
mkdocs.yml [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
README.md [MINOR][DOC] Fix some typos and grammar issues 2018-04-06 13:37:08 +08:00

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 an extension of SQLContext called HiveContext that allows 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.