Saif Addin Ellafi created SPARK-11330:
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Summary: Filter operation on StringType after groupBy brings no
results when there are
Key: SPARK-11330
URL: https://issues.apache.org/jira/browse/SPARK-11330
Project: Spark
Issue Type: Bug
Components: Spark Core
Affects Versions: 1.5.1
Environment: Stand alone Cluster of five servers. sqlContext instance
of HiveContext (default in spark-shell)
No special options other than driver memory and executor memory.
Parquet partitions are 512 where there are 160 cores.
Data is nearly 2 billion rows.
Reporter: Saif Addin Ellafi
Priority: Blocker
val data = sqlContext.read.parquet("/var/data/Saif/ppnr_pqt")
val res = data.groupBy("vintages", "yyyymm").count.persist()
res.dtypes >>> res25: Array[(String, String)] = Array((vintages,StringType),
(yyyymm,IntegerType), (count,LongType))
res.first >>> res24: org.apache.spark.sql.Row = [1967-06-01,200506,18750]
val z = res.select("vintages", "yyyymm").filter("vintages =
'1967-06-01'").select("yyyymm").distinct.collect
z.length >>> 0
This does not happen if using another type of field, eg IntType
val z = res.select("vintages", "yyyymm").filter("yyyymm =
200506").select("yyyymm").distinct.collect
z: Array[org.apache.spark.sql.Row] = Array([200506])
Originally, the issue happened with a larger aggregation operation, the result
was that data was inconsistent bringing different results every call.
Reducing the operation step by step, I got into this issue.
In any case, the original operation was:
val data = sqlContext.read.parquet("/var/Saif/data_pqt")
val res = data.groupBy("product", "band", "age", "vint", "mb",
"yyyymm").agg(count($"account_id").as("N"), sum($"balance").as("balance_eom"),
sum($"balancec").as("balance_eoc"), sum($"spend").as("spend"),
sum($"payment").as("payment"), sum($"feoc").as("feoc"),
sum($"cfintbal").as("cfintbal"), count($"newacct" ===
1).as("newacct")).persist()
val z = res.select("vint", "yyyymm").filter("vint =
'2007-01-01'").select("yyyymm").distinct.collect
z.length
>>> res0: Int = 102
res.unpersist()
val z = res.select("vint", "yyyymm").filter("vint =
'2007-01-01'").select("yyyymm").distinct.collect
z.length
>>> res1: Int = 103
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