[
https://issues.apache.org/jira/browse/SPARK-21392?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Stuart Reynolds updated SPARK-21392:
------------------------------------
Description:
The following boring code works
{code:none}
response = "mi_or_chd_5"
outcome = sqlc.sql("""select eid,{response} as response
from outcomes
where {response} IS NOT NULL""".format(response=response))
outcome.write.parquet(response, mode="overwrite")
>>> print outcome.schema
StructType(List(StructField(eid,IntegerType,true),StructField(response,ShortType,true)))
{code}
But then,
{code:none}
outcome2 = sqlc.read.parquet(response) # fail
{code}
fails with:
{code:none}AnalysisException: u'Unable to infer schema for Parquet. It must be
specified manually.;'
{code}
in
{code:none}
/usr/local/lib/python2.7/dist-packages/pyspark-2.1.0+hadoop2.7-py2.7.egg/pyspark/sql/utils.pyc
in deco(*a, **kw)
{code}
The documentation for parquet says the format is self describing, and the full
schema was available when the parquet file was saved. What gives?
Seems related to: https://issues.apache.org/jira/browse/SPARK-16975, but which
claims it was fixed in 2.0.1, 2.1.0. (Current bug is 2.1.1)
was:
The following boring code works
{code:python}
response = "mi_or_chd_5"
outcome = sqlc.sql("""select eid,{response} as response
from outcomes
where {response} IS NOT NULL""".format(response=response))
outcome.write.parquet(response, mode="overwrite")
>>> print outcome.schema
StructType(List(StructField(eid,IntegerType,true),StructField(response,ShortType,true)))
{code}
But then,
{code:python}
outcome2 = sqlc.read.parquet(response) # fail
{code}
fails with:
{code:python}AnalysisException: u'Unable to infer schema for Parquet. It must
be specified manually.;'
{code}
in
{code:python}
/usr/local/lib/python2.7/dist-packages/pyspark-2.1.0+hadoop2.7-py2.7.egg/pyspark/sql/utils.pyc
in deco(*a, **kw)
{code}
The documentation for parquet says the format is self describing, and the full
schema was available when the parquet file was saved. What gives?
Seems related to: https://issues.apache.org/jira/browse/SPARK-16975, but which
claims it was fixed in 2.0.1, 2.1.0. (Current bug is 2.1.1)
> Unable to infer schema when loading Parquet file
> ------------------------------------------------
>
> Key: SPARK-21392
> URL: https://issues.apache.org/jira/browse/SPARK-21392
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 2.1.1
> Environment: Spark 2.1.1. python 2.7.6
> Reporter: Stuart Reynolds
> Labels: parquet, pyspark
>
> The following boring code works
> {code:none}
> response = "mi_or_chd_5"
> outcome = sqlc.sql("""select eid,{response} as response
> from outcomes
> where {response} IS NOT NULL""".format(response=response))
> outcome.write.parquet(response, mode="overwrite")
>
> >>> print outcome.schema
>
> StructType(List(StructField(eid,IntegerType,true),StructField(response,ShortType,true)))
> {code}
>
> But then,
> {code:none}
> outcome2 = sqlc.read.parquet(response) # fail
> {code}
> fails with:
> {code:none}AnalysisException: u'Unable to infer schema for Parquet. It must
> be specified manually.;'
> {code}
> in
> {code:none}
> /usr/local/lib/python2.7/dist-packages/pyspark-2.1.0+hadoop2.7-py2.7.egg/pyspark/sql/utils.pyc
> in deco(*a, **kw)
> {code}
> The documentation for parquet says the format is self describing, and the
> full schema was available when the parquet file was saved. What gives?
> Seems related to: https://issues.apache.org/jira/browse/SPARK-16975, but
> which claims it was fixed in 2.0.1, 2.1.0. (Current bug is 2.1.1)
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