[
https://issues.apache.org/jira/browse/SPARK-13299?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Nazarii Balkovskyi updated SPARK-13299:
---------------------------------------
Description:
I faced to a problem with using limit method from DataFrame API.
I try to get first 999 records from the AVRO source which contains about 3.5K
records.
{code:java}
DataFrame df = sqlContext.load(inputSource, "com.databricks.spark.avro");
df = df.limit(999);
{code}
Then after saving operation I get the rows not in the same order as in input
data set. Sometimes it gives me proper order but usually not.
{code:java}
df.save(filepathToSave, "com.databricks.spark.avro", SaveMode.ErrorIfExists);
{code}
Here you can see Spark plan (maybe it can help to figure out the cause of the
issue):
{code}
== Parsed Logical Plan ==
Limit 999
Filter (1 = 1)
Relation[mobileNumber#0L,tariff#1,debit#2]
AvroRelation(hdfs://<server_name>:8020/user/hdfs/dataset.avro,None,0)
== Analyzed Logical Plan ==
mobileNumber: bigint, tariff: string, debit: float
Limit 999
Filter (1 = 1)
Relation[mobileNumber#0L,tariff#1,debit#2]
AvroRelation(hdfs://<server_name>:8020/user/hdfs/dataset.avro,None,0)
== Optimized Logical Plan ==
Limit 999
Relation[mobileNumber#0L,tariff#1,debit#2]
AvroRelation(hdfs://<server_name>:8020/user/hdfs/dataset.avro,None,0)
== Physical Plan ==
Limit 999
Scan
AvroRelation(hdfs://lssparkmaster.edvantis.com:8020/user/hdfs/clientsENG10M.avro,None,0)[mobileNumber#0L,tariff#1,debit#2]
Code Generation: true
{code}
was:
I faced to a problem with using limit method from DataFrame API.
I try to get first 999 records from the AVRO source which contains about 3.5K
records.
{code:java}
DataFrame df = sqlContext.load(inputSource, "com.databricks.spark.avro");
df = df.limit(999);
{code}
Then after saving operation I get the rows not in the same order as in input
data set. Sometimes it gives me proper order but usually not.
{code:java}
df.save(filepathToSave, "com.databricks.spark.avro", SaveMode.ErrorIfExists);
{code}
Here you can see Spark plan (maybe it can help to figure out the cause of the
issue):
== Parsed Logical Plan ==
Limit 999
Relation[color#0,id#1,type#2,rand#3,junk#4]
AvroRelation(hdfs://<server_name>:8020/tmp/hdfs.2016-02-12--10-18-55-171-488/hdfs.2016-02-12--10-19-05-109-895.avro,None,0)
== Analyzed Logical Plan ==
color: string, id: int, type: string, rand: int, junk: string
Limit 999
Relation[color#0,id#1,type#2,rand#3,junk#4]
AvroRelation(hdfs://<server_name>:8020/tmp/hdfs.2016-02-12--10-18-55-171-488/hdfs.2016-02-12--10-19-05-109-895.avro,None,0)
== Optimized Logical Plan ==
InMemoryRelation [color#0,id#1,type#2,rand#3,junk#4], true, 10000,
StorageLevel(true, true, false, true, 1), (Limit 999), None
== Physical Plan ==
InMemoryColumnarTableScan [color#0,id#1,type#2,rand#3,junk#4],
(InMemoryRelation [color#0,id#1,type#2,rand#3,junk#4], true, 10000,
StorageLevel(true, true, false, true, 1), (Limit 999), None)
Code Generation: true
> DataFrame limit operation is not consistent
> -------------------------------------------
>
> Key: SPARK-13299
> URL: https://issues.apache.org/jira/browse/SPARK-13299
> Project: Spark
> Issue Type: Bug
> Affects Versions: 1.3.1, 1.5.0, 1.5.1, 1.5.2, 1.6.0
> Reporter: Nazarii Balkovskyi
> Labels: SparkSQL, dataframe
> Attachments: SparkLimitIssue.png
>
>
> I faced to a problem with using limit method from DataFrame API.
> I try to get first 999 records from the AVRO source which contains about 3.5K
> records.
> {code:java}
> DataFrame df = sqlContext.load(inputSource, "com.databricks.spark.avro");
> df = df.limit(999);
> {code}
> Then after saving operation I get the rows not in the same order as in input
> data set. Sometimes it gives me proper order but usually not.
> {code:java}
> df.save(filepathToSave, "com.databricks.spark.avro", SaveMode.ErrorIfExists);
> {code}
> Here you can see Spark plan (maybe it can help to figure out the cause of the
> issue):
> {code}
> == Parsed Logical Plan ==
> Limit 999
> Filter (1 = 1)
> Relation[mobileNumber#0L,tariff#1,debit#2]
> AvroRelation(hdfs://<server_name>:8020/user/hdfs/dataset.avro,None,0)
> == Analyzed Logical Plan ==
> mobileNumber: bigint, tariff: string, debit: float
> Limit 999
> Filter (1 = 1)
> Relation[mobileNumber#0L,tariff#1,debit#2]
> AvroRelation(hdfs://<server_name>:8020/user/hdfs/dataset.avro,None,0)
> == Optimized Logical Plan ==
> Limit 999
> Relation[mobileNumber#0L,tariff#1,debit#2]
> AvroRelation(hdfs://<server_name>:8020/user/hdfs/dataset.avro,None,0)
> == Physical Plan ==
> Limit 999
> Scan
> AvroRelation(hdfs://lssparkmaster.edvantis.com:8020/user/hdfs/clientsENG10M.avro,None,0)[mobileNumber#0L,tariff#1,debit#2]
> Code Generation: true
> {code}
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