Nicholas Chammas created SPARK-8670:
---------------------------------------
Summary: Nested columns can't be referenced (but they can be
selected)
Key: SPARK-8670
URL: https://issues.apache.org/jira/browse/SPARK-8670
Project: Spark
Issue Type: Bug
Components: PySpark, SQL
Affects Versions: 1.4.0
Reporter: Nicholas Chammas
This is strange and looks like a regression from 1.3.
{code}
import json
daterz = [
{
'name': 'Nick',
'stats': {
'age': 28
}
},
{
'name': 'George',
'stats': {
'age': 31
}
}
]
df = sqlContext.jsonRDD(sc.parallelize(daterz).map(lambda x: json.dumps(x)))
df.select('stats.age').show()
df['stats.age'] # 1.4 fails on this line
{code}
On 1.3 this works and yields:
{code}
age
28
31
Out[1]: Column<stats.age AS age#2958L>
{code}
On 1.4, however, this gives an error on the last line:
{code}
+---+
|age|
+---+
| 28|
| 31|
+---+
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
<ipython-input-1-04bd990e94c6> in <module>()
19
20 df.select('stats.age').show()
---> 21 df['stats.age']
/path/to/spark/python/pyspark/sql/dataframe.pyc in __getitem__(self, item)
678 if isinstance(item, basestring):
679 if item not in self.columns:
--> 680 raise IndexError("no such column: %s" % item)
681 jc = self._jdf.apply(item)
682 return Column(jc)
IndexError: no such column: stats.age
{code}
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
