Thanks for reporting this. Would you mind to help creating a JIRA for this?
On 6/16/15 2:25 AM, patcharee wrote:
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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