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Stuart Reynolds commented on SPARK-21392: ----------------------------------------- Done. I'm simply trying to build a table of two columns ("eid" and whatever the named response variable is), and save the table as a parquet file (with the same name are the second column), and load it back up. Saving works but loading fails, complaining it can't infer the schema, even though I could print the schema before saving it: {code:none} StructType( List( StructField(eid,IntegerType,true), StructField(response,ShortType,true))) {code} > 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) -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org