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https://issues.apache.org/jira/browse/SPARK-12741?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17172226#comment-17172226
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Yu Gan commented on SPARK-12741:
--------------------------------
Aha, I came across the similar issue. My sql is
select
p_brand,
p_size,
count(ps_suppkey) as supplier_cnt
from
tpch.partsupp
inner join
tpch.part
on p_partkey = ps_partkey
group by
P_BRAND,
p_size
the total row count are different:
dataSet.count()=1179, dataSet.rdd().count()=1178
Finally i found the root cause:
In org.apache.spark.sql.execution.datasources.FailureSafeParser#parse throws
BadRecordException, when in PermissiveMode and corrupted record exists the
result row would be None record. In this case, the none record will be
filtered.
> DataFrame count method return wrong size.
> -----------------------------------------
>
> Key: SPARK-12741
> URL: https://issues.apache.org/jira/browse/SPARK-12741
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.5.0
> Reporter: Sasi
> Priority: Major
>
> Hi,
> I'm updating my report.
> I'm working with Spark 1.5.2, (used to be 1.5.0), I have a DataFrame and I
> have 2 method, one for collect data and other for count.
> method doQuery looks like:
> {code}
> dataFrame.collect()
> {code}
> method doQueryCount looks like:
> {code}
> dataFrame.count()
> {code}
> I have few scenarios with few results:
> 1) Non data exists on my NoSQLDatabase results: count 0 and collect() 0
> 2) 3 rows exists results: count 0 and collect 3.
> 3) 5 rows exists results: count 2 and collect 5.
> I tried to change the count code to the below code, but got the same results
> as I mentioned above.
> {code}
> dataFrame.sql("select count(*) from tbl").count/collect[0]
> {code}
> Thanks,
> Sasi
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