spark-instrumented-optimizer/python
Davies Liu fffb0c0d19 [SPARK-16700][PYSPARK][SQL] create DataFrame from dict/Row with schema
## What changes were proposed in this pull request?

In 2.0, we verify the data type against schema for every row for safety, but with performance cost, this PR make it optional.

When we verify the data type for StructType, it does not support all the types we support in infer schema (for example, dict), this PR fix that to make them consistent.

For Row object which is created using named arguments, the order of fields are sorted by name, they may be not different than the order in provided schema, this PR fix that by ignore the order of fields in this case.

## How was this patch tested?

Created regression tests for them.

Author: Davies Liu <davies@databricks.com>

Closes #14469 from davies/py_dict.
2016-08-15 12:41:27 -07:00
..
docs [SPARK-16772][PYTHON][DOCS] Fix API doc references to UDFRegistration + Update "important classes" 2016-08-06 05:02:59 +01:00
lib [SPARK-15061][PYSPARK] Upgrade to Py4J 0.10.1 2016-05-13 08:59:18 +01:00
pyspark [SPARK-16700][PYSPARK][SQL] create DataFrame from dict/Row with schema 2016-08-15 12:41:27 -07:00
test_support [SPARK-14555] First cut of Python API for Structured Streaming 2016-04-20 10:32:01 -07:00
.gitignore [SPARK-3946] gitignore in /python includes wrong directory 2014-10-14 14:09:39 -07:00
pylintrc [SPARK-13596][BUILD] Move misc top-level build files into appropriate subdirs 2016-03-07 14:48:02 -08:00
run-tests [SPARK-8583] [SPARK-5482] [BUILD] Refactor python/run-tests to integrate with dev/run-tests module system 2015-06-27 20:24:34 -07:00
run-tests.py [SPARK-13579][BUILD] Stop building the main Spark assembly. 2016-04-04 16:52:22 -07:00