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From "Sean Owen (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-5722) Infer_schema_type incorrect for Integers in pyspark
Date Sat, 25 Apr 2015 21:49:38 GMT

     [ https://issues.apache.org/jira/browse/SPARK-5722?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Sean Owen updated SPARK-5722:
-----------------------------
    Assignee: Don Drake

> Infer_schema_type incorrect for Integers in pyspark
> ---------------------------------------------------
>
>                 Key: SPARK-5722
>                 URL: https://issues.apache.org/jira/browse/SPARK-5722
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 1.2.0
>            Reporter: Don Drake
>            Assignee: Don Drake
>             Fix For: 1.2.2
>
>
> The Integers datatype in Python does not match what a Scala/Java integer is defined as.
  This causes inference of data types and schemas to fail when data is larger than 2^32 and
it is inferred incorrectly as an Integer.
> Since the range of valid Python integers is wider than Java Integers, this causes problems
when inferring Integer vs. Long datatypes.  This will cause problems when attempting to save
SchemaRDD as Parquet or JSON.
> Here's an example:
> {code}
> >>> sqlCtx = SQLContext(sc)
> >>> from pyspark.sql import Row
> >>> rdd = sc.parallelize([Row(f1='a', f2=100000000000000)])
> >>> srdd = sqlCtx.inferSchema(rdd)
> >>> srdd.schema()
> StructType(List(StructField(f1,StringType,true),StructField(f2,IntegerType,true)))
> {code}
> That number is a LongType in Java, but an Integer in python.  We need to check the value
to see if it should really by a LongType when a IntegerType is initially inferred.
> More tests:
> {code}
> >>> from pyspark.sql import _infer_type
> # OK
> >>> print _infer_type(1)
> IntegerType
> # OK
> >>> print _infer_type(2**31-1)
> IntegerType
> #WRONG
> >>> print _infer_type(2**31)
> #WRONG
> IntegerType
> >>> print _infer_type(2**61 )
> #OK
> IntegerType
> >>> print _infer_type(2**71 )
> LongType
> {code}
> Java Primitive Types defined:
> http://docs.oracle.com/javase/tutorial/java/nutsandbolts/datatypes.html
> Python Built-in Types:
> https://docs.python.org/2/library/stdtypes.html#typesnumeric



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