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https://issues.apache.org/jira/browse/SPARK-23989?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16442176#comment-16442176
]
liuxian commented on SPARK-23989:
---------------------------------
test({color:#6a8759}"groupBy"{color}) {
{color:#808080} spark.conf.set("spark.sql.shuffle.partitions",
16777217){color}{color:#808080}
{color} {color:#cc7832}val {color}df1 =
{color:#9876aa}Seq{color}(({color:#6a8759}"a"{color}{color:#cc7832},
{color}{color:#6897bb}1{color}{color:#cc7832},
{color}{color:#6897bb}0{color}{color:#cc7832},
{color}{color:#6a8759}"b"{color}){color:#cc7832},
{color}({color:#6a8759}"b"{color}{color:#cc7832},
{color}{color:#6897bb}2{color}{color:#cc7832},
{color}{color:#6897bb}4{color}{color:#cc7832},
{color}{color:#6a8759}"c"{color}){color:#cc7832},
{color}({color:#6a8759}"a"{color}{color:#cc7832},
{color}{color:#6897bb}2{color}{color:#cc7832},
{color}{color:#6897bb}3{color}{color:#cc7832},
{color}{color:#6a8759}"d"{color}))
.toDF({color:#6a8759}"key"{color}{color:#cc7832},
{color}{color:#6a8759}"value1"{color}{color:#cc7832},
{color}{color:#6a8759}"value2"{color}{color:#cc7832},
{color}{color:#6a8759}"rest"{color})
checkAnswer(
df1.groupBy({color:#6a8759}"key"{color}).min({color:#6a8759}"value2"{color}){color:#cc7832},
{color} {color:#9876aa}Seq{color}(Row({color:#6a8759}"a"{color}{color:#cc7832},
{color}{color:#6897bb}0{color}){color:#cc7832},
{color}Row({color:#6a8759}"b"{color}{color:#cc7832},
{color}{color:#6897bb}4{color}))
)
}
Because the number of partitions is too large, it will run for a long time.
The number of partitions is so large that the purpose is to go
`SortShuffleWriter`
> When using `SortShuffleWriter`, the data will be overwritten
> ------------------------------------------------------------
>
> Key: SPARK-23989
> URL: https://issues.apache.org/jira/browse/SPARK-23989
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.3.0
> Reporter: liuxian
> Priority: Critical
>
> {color:#333333}When using `SortShuffleWriter`, we only insert
> '{color}{color:#cc7832}AnyRef{color}{color:#333333}' into
> '{color}PartitionedAppendOnlyMap{color:#333333}' or
> '{color}PartitionedPairBuffer{color:#333333}'.{color}
> {color:#333333}For this function:{color}
> {color:#cc7832}override def {color}{color:#ffc66d}write{color}(records:
> {color:#4e807d}Iterator{color}[Product2[{color:#4e807d}K{color}{color:#cc7832},
> {color}{color:#4e807d}V{color}]])
> the value of 'records' is `UnsafeRow`, so the value will be overwritten
> {color:#333333} {color}
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