Github user zasdfgbnm commented on a diff in the pull request:
https://github.com/apache/spark/pull/18444#discussion_r128131993
--- Diff: python/pyspark/sql/types.py ---
@@ -938,12 +1016,17 @@ def _infer_type(obj):
return MapType(_infer_type(key), _infer_type(value), True)
else:
return MapType(NullType(), NullType(), True)
- elif isinstance(obj, (list, array)):
+ elif isinstance(obj, list):
for v in obj:
if v is not None:
return ArrayType(_infer_type(obj[0]), True)
else:
return ArrayType(NullType(), True)
+ elif isinstance(obj, array):
+ if obj.typecode in _array_type_mappings:
+ return ArrayType(_array_type_mappings[obj.typecode](), False)
+ else:
+ raise TypeError("not supported type: array(%s)" % obj.typecode)
--- End diff --
Test result for python 2 is here:
```python
Python 2.7.13 (default, Jul 2 2017, 22:24:59)
[GCC 7.1.1 20170621] on linux2
Type "help", "copyright", "credits" or "license" for more information.
Using Spark's default log4j profile:
org/apache/spark/log4j-defaults.properties
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use
setLogLevel(newLevel).
17/07/18 20:59:26 WARN NativeCodeLoader: Unable to load native-hadoop
library for your platform... using builtin-java classes where applicable
17/07/18 20:59:26 WARN Utils: Your hostname, archlinux resolves to a
loopback address: 127.0.0.1; using 192.168.88.2 instead (on interface eno1)
17/07/18 20:59:26 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to
another address
17/07/18 20:59:29 WARN ObjectStore: Failed to get database global_temp,
returning NoSuchObjectException
Welcome to
____ __
/ __/__ ___ _____/ /__
_\ \/ _ \/ _ `/ __/ '_/
/__ / .__/\_,_/_/ /_/\_\ version 2.2.0
/_/
Using Python version 2.7.13 (default, Jul 2 2017 22:24:59)
SparkSession available as 'spark'.
>>> import array,sys
>>> from pyspark import *
>>> from pyspark.sql import *
>>>
>>> def assertCollectSuccess(typecode, value):
... row = Row(myarray=array.array(typecode, [value]))
... df = spark.createDataFrame([row])
... print(typecode)
... df.show()
...
>>> assertCollectSuccess('u',u'a')
u
+-------+
|myarray|
+-------+
| [a]|
+-------+
>>> assertCollectSuccess('f',1.2)
f
+-------+
|myarray|
+-------+
| [null]|
+-------+
>>> assertCollectSuccess('d',1.2)
d
+-------+
|myarray|
+-------+
| [1.2]|
+-------+
>>> assertCollectSuccess('b',1)
b
+-------+
|myarray|
+-------+
| [null]|
+-------+
>>> assertCollectSuccess('B',1)
B
+-------+
|myarray|
+-------+
| [null]|
+-------+
>>> assertCollectSuccess('h',1)
h
+-------+
|myarray|
+-------+
| [null]|
+-------+
>>> assertCollectSuccess('H',1)
H
+-------+
|myarray|
+-------+
| [1]|
+-------+
>>> assertCollectSuccess('i',1)
i
+-------+
|myarray|
+-------+
| [1]|
+-------+
>>> assertCollectSuccess('I',1)
I
+-------+
|myarray|
+-------+
| [1]|
+-------+
>>> assertCollectSuccess('l',1)
l
+-------+
|myarray|
+-------+
| [1]|
+-------+
>>> assertCollectSuccess('L',1)
L
+-------+
|myarray|
+-------+
| [1]|
+-------+
>>>
>>>
>>> if sys.version_info[0] > 2:
... assertCollectSuccess('q',1)
... assertCollectSuccess('Q',1)
...
>>>
>>> if sys.version_info[0] < 3:
... assertCollectSuccess('c','a')
...
c
+-------+
|myarray|
+-------+
| [a]|
+-------+
>>>
```
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