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Posted to issues@spark.apache.org by "Saurabh Santhosh (JIRA)" <ji...@apache.org> on 2016/04/27 08:44:12 UTC

[jira] [Created] (SPARK-14948) Exception when joining DataFrames derived form the same DataFrame

Saurabh Santhosh created SPARK-14948:
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             Summary: Exception when joining DataFrames derived form the same DataFrame
                 Key: SPARK-14948
                 URL: https://issues.apache.org/jira/browse/SPARK-14948
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 1.6.0
            Reporter: Saurabh Santhosh


h2. Spark Analyser is throwing the following exception in a specific scenario :

h2. Exception :

org.apache.spark.sql.AnalysisException: resolved attribute(s) F1#3 missing from asd#5,F2#4,F1#6,F2#7 in operator !Project [asd#5,F1#3];
	at org.apache.spark.sql.catalyst.analysis.CheckAnalysis$class.failAnalysis(CheckAnalysis.scala:38)


h2. Code :

{code:title=SparkClient.java|borderStyle=solid}
StructField[] fields = new StructField[2];
    fields[0] = new StructField("F1", DataTypes.StringType, true, Metadata.empty());
    fields[1] = new StructField("F2", DataTypes.StringType, true, Metadata.empty());
    JavaRDD<Row> rdd =
        sparkClient.getJavaSparkContext().parallelize(Arrays.asList(RowFactory.create("a", "b")));
    DataFrame df = sparkClient.getSparkHiveContext().createDataFrame(rdd, new StructType(fields));
    sparkClient.getSparkHiveContext().registerDataFrameAsTable(df, "t1");

    DataFrame aliasedDf = sparkClient.getSparkHiveContext().sql("select F1 as asd, F2 from t1");

    sparkClient.getSparkHiveContext().registerDataFrameAsTable(aliasedDf, "t2");
    sparkClient.getSparkHiveContext().registerDataFrameAsTable(df, "t3");
    
    DataFrame join = aliasedDf.join(df, aliasedDf.col("F2").equalTo(df.col("F2")), "inner");
    DataFrame select = join.select(aliasedDf.col("asd"), df.col("F1"));
    select.collect();

{code}

h2. Observations :

* This issue is related to the Data Type of Fields of the initial Data Frame.(If the Data Type is not String, it will work.)
* It works fine if the data frame is registered as a temporary table and an sql (select a.asd,b.F1 from t2 a inner join t3 b on a.F2=b.F2) is written.



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