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From patcharee <Patcharee.Thong...@uni.no>
Subject Re: HiveContext saveAsTable create wrong partition
Date Tue, 16 Jun 2015 09:25:16 GMT
I found if I move the partitioned columns in schemaString and in Row to 
the end of the sequence, then it works correctly...

On 16. juni 2015 11:14, patcharee wrote:
> Hi,
>
> I am using spark 1.4 and HiveContext to append data into a partitioned 
> hive table. I found that the data insert into the table is correct, 
> but the partition(folder) created is totally wrong.
> Below is my code snippet>>
>
> -------------------------------------------------------------------------------------------------------------------------------------------------------------------

>
> val schemaString = "zone z year month date hh x y height u v w ph phb 
> t p pb qvapor qgraup qnice qnrain tke_pbl el_pbl"
>     val schema =
>       StructType(
>         schemaString.split(" ").map(fieldName =>
>           if (fieldName.equals("zone") || fieldName.equals("z") || 
> fieldName.equals("year") || fieldName.equals("month") ||
>               fieldName.equals("date") || fieldName.equals("hh") || 
> fieldName.equals("x") || fieldName.equals("y"))
>             StructField(fieldName, IntegerType, true)
>           else
>             StructField(fieldName, FloatType, true)
>         ))
>
> val pairVarRDD =
> sc.parallelize(Seq((Row(2,42,2009,3,1,0,218,365,9989.497.floatValue(),29.627113.floatValue(),19.071793.floatValue(),0.11982734.floatValue(),3174.6812.floatValue(),

>
> 97735.2.floatValue(),16.389032.floatValue(),-96.62891.floatValue(),25135.365.floatValue(),2.6476808E-5.floatValue(),0.0.floatValue(),13195.351.floatValue(),

>
>         0.0.floatValue(),0.1.floatValue(),0.0.floatValue()))
>     ))
>
> val partitionedTestDF2 = sqlContext.createDataFrame(pairVarRDD, schema)
>
> partitionedTestDF2.write.format("org.apache.spark.sql.hive.orc.DefaultSource") 
>
> .mode(org.apache.spark.sql.SaveMode.Append).partitionBy("zone","z","year","month").saveAsTable("test4DimBySpark")

>
>
> -------------------------------------------------------------------------------------------------------------------------------------------------------------------

>
>
> The table contains 23 columns (longer than Tuple maximum length), so I 
> use Row Object to store raw data, not Tuple.
> Here is some message from spark when it saved data>>
>
> 15/06/16 10:39:22 INFO metadata.Hive: Renaming 
> src:hdfs://service-10-0.local:8020/tmp/hive-patcharee/hive_2015-06-16_10-39-21_205_8768669104487548472-1/-ext-10000/zone=13195/z=0/year=0/month=0/part-00001;dest:

> hdfs://service-10-0.local:8020/apps/hive/warehouse/test4dimBySpark/zone=13195/z=0/year=0/month=0/part-00001;Status:true

>
> 15/06/16 10:39:22 INFO metadata.Hive: New loading path = 
> hdfs://service-10-0.local:8020/tmp/hive-patcharee/hive_2015-06-16_10-39-21_205_8768669104487548472-1/-ext-10000/zone=13195/z=0/year=0/month=0

> with partSpec {zone=13195, z=0, year=0, month=0}
>
> From the raw data (pairVarRDD) zone = 2, z = 42, year = 2009, month = 
> 3. But spark created a partition {zone=13195, z=0, year=0, month=0}.
>
> When I queried from hive>>
>
> hive> select * from test4dimBySpark;
> OK
> 2    42    2009    3    1.0    0.0    218.0    365.0    9989.497 
> 29.627113    19.071793    0.11982734    -3174.6812    97735.2 
> 16.389032    -96.62891    25135.365    2.6476808E-5    0.0 13195    
> 0    0    0
> hive> select zone, z, year, month from test4dimBySpark;
> OK
> 13195    0    0    0
> hive> dfs -ls /apps/hive/warehouse/test4dimBySpark/*/*/*/*;
> Found 2 items
> -rw-r--r--   3 patcharee hdfs       1411 2015-06-16 10:39 
> /apps/hive/warehouse/test4dimBySpark/zone=13195/z=0/year=0/month=0/part-00001
>
> The data stored in the table is correct zone = 2, z = 42, year = 2009, 
> month = 3, but the partition created was wrong 
> "zone=13195/z=0/year=0/month=0"
>
> Is this a bug or what could be wrong? Any suggestion is appreciated.
>
> BR,
> Patcharee
>
>
>
>
>
>
>
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