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[SPARK-6145] [SQL] Fix the bug of nested data type resolving in ORDER BY #4892

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[SPARK-6145] [SQL] Fix the bug of nested data type resolving in ORDER BY #4892

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b82c8c5
fix the bug of nested data type resolving in sort by
chenghao-intel Mar 4, 2015
44ac17d
nested a.a.a which returns expression with alias name 'a'
chenghao-intel Mar 5, 2015
47db754
fix the bug in unittest
chenghao-intel Mar 5, 2015
5de3b9e
fix another bug in unittest
chenghao-intel Mar 5, 2015
73eb346
update the output column attribute name for nested data query
chenghao-intel Mar 5, 2015
9209ac1
update as feedback
chenghao-intel Mar 5, 2015
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update the output column attribute name for nested data query
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@chenghao-intel
chenghao-intel committed Mar 5, 2015
commit 73eb34652ec5aec2b051231126f4e049997f31ca
2 changes: 1 addition & 1 deletion python/pyspark/sql/context.py
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Expand Up @@ -84,7 +84,7 @@ def __init__(self, sparkContext, sqlContext=None):
>>> df.registerTempTable("allTypes")
>>> sqlCtx.sql('select i+1, d+1, not b, list[1], dict["s"], time, row.a '
... 'from allTypes where b and i > 0').collect()
[Row(c0=2, c1=2.0, c2=False, c3=2, c4=0...8, 1, 14, 1, 5), a=1)]
[Row(c0=2, c1=2.0, c2=False, c3=2, c4=0...8, 1, 14, 1, 5), row.a=1)]
>>> df.map(lambda x: (x.i, x.s, x.d, x.l, x.b, x.time,
... x.row.a, x.list)).collect()
[(1, u'string', 1.0, 1, True, ...(2014, 8, 1, 14, 1, 5), 1, [1, 2, 3])]
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