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Github user mukunku commented on the issue:
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I'm using spark 2.2.0 and still have this issue:
Illegal Parquet type: FIXED_LEN_BYTE_ARRAY
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Github user squito commented on the issue:
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I merged this to master, since its holding up a bunch more of the history
server stuff, but I'd encourage other reviews to take a look still @cloud-fan
@ajbozarth @jerryshao
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@vanzin merge conflict since I merged the Job & stage page change
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*/
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@@ -46,3 +46,25 @@ function formatBytes(bytes, type) {
var i =
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*/
public class
Github user cloud-fan commented on the issue:
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after some more thoughts, I think we should not rely on
`spark.memory.offHeap.enabled`. The reason is that: 1) `OffHeapColumnVector`
may have performance regression, users may want off-heap
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var i =
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@gatorsmile any further comment on this?
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Github user jiangxb1987 commented on the issue:
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Please rebase this PR to the latest master. Thanks!
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return resl;
}
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GitHub user xuanyuanking opened a pull request:
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[SPARK-2926][Core][Follow Up] Sort shuffle reader for Spark 2.x
## What changes were proposed in this pull request?
As comment in
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Github user ptkool commented on the issue:
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Here are the similar changes in the Scala API:
https://github.com/apache/spark/pull/17911
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Good idea. We will introduce the new config independent of
`spark.memory.offHeap.enabled`.
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Github user viirya commented on the issue:
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`ColumnVectorArray` or `ArrayInColumnVector` both good to me.
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cc @cloud-fan @gatorsmile
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*/
public class
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thanks, merging to master!
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
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[SPARK-22346][ML]
## What changes were proposed in this pull request?
A new VectorSizeHint transformer was added. This transformer is meant to be
used as a pipeline stage ahead of
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I meant the actual equivalent endpoints and actual codes with usecases.
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LGTM
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jenkins test
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Jenkins retest this please
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lgtm
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[Spark-22431][SQL] Ensure that the datatype in the schema for the
table/view metadata is parseable by Spark before persisting it
## What changes were proposed in this pull request?
* JIRA:
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I'm working on my thesis to improve cache management systems. But i don't
know anything about Spark! I found this program and I don't know how to even
run it. If possible, can someone refer to
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Thank you for review, @gatorsmile and @ueshin .
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return
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Can one of the admins verify this patch?
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> Yup, it looks so. Could we add another small test case for it as well?
There is already, it's just that `str()` will convert from unicode as long
as it's only ASCII characters so it
GitHub user vanzin opened a pull request:
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[SPARK-20649][core] Simplify REST API resource structure.
With the new UI store, the API resource classes have a lot less code,
since there's no need for complicated translations between the UI
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For context:
*Project link: https://issues.apache.org/jira/browse/SPARK-18085
* Upcoming PRs that build on this code:
https://github.com/vanzin/spark/pulls
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Merging to master.
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Ok to test
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retest this please.
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Github user jkbradley commented on the issue:
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Awesome, thanks for the updates and for checking backwards compatibility!
LGTM
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