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I made a new pr to address the Literal issue #22724
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GitHub user 10110346 opened a pull request:
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[SPARK-24610][[CORE][FOLLOW-UP]fix reading small files via BinaryFileRDD
## What changes were proposed in this pull request?
This is a follow up of #21601, `StreamFileInputFormat` and
`Wh
Github user cloud-fan commented on the issue:
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retest this please
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@cloud-fan , sure, I'll submit a follow-up PR for this. Thanks.
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ping @maryannxue
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Github user HyukjinKwon commented on the issue:
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While addressing the review comments, I also reviewed at the same time. The
change looks pretty good to go.
For https://github.com/apache/spark/pull/22379#issuecomment-429738031, I
gues
Github user cloud-fan commented on the issue:
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Hi @mgaido91 , since you are the major author of this part, do you have
time to open a PR and move `outputOrdering` to the main constructor? Thanks in
advance!
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retest this please
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[SPARK-25734][SQL}
## What changes were proposed in this pull request?
(Please fill in changes proposed in this fix)
## How was this patch tested?
(Please explain how this
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Github user mgaido91 commented on the issue:
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sorry @gatorsmile that is fine, my bad. A late LGTM to this, despite
probably @cloud-fan 's comment make, we probably should have just put it as a
part of the main constructor...
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--- Diff:
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@@ -523,35 +523,114 @@ case class AlterTableRenamePartitionCommand(
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--- Diff:
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@@ -0,0 +1,111 @@
+/*
+ * Licensed to the
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Github user mgaido91 commented on the issue:
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Yes, I summarized earlier the behavior for `(a, b) in (struct_col1,
struct_col2, ...)`. You can also check the PR description in "Summarizing:".
Instead, `input_struct_col in (struct_col1,
Github user cloud-fan commented on the issue:
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Your rewrite is applied to the entire predicate expression tree, how about
the case `NOT(p AND x)`? If `p` is true, `x` is false, then `NOT(p AND x)` is
true. But `NOT(true AND true)` is false.
Github user gaborgsomogyi commented on a diff in the pull request:
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--- Diff:
core/src/main/scala/org/apache/spark/internal/config/package.scala ---
@@ -647,4 +647,42 @@ package object config {
.stringConf
Github user shivusondur commented on the issue:
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@jiangxb1987 @dongjoon-hyun
I have modified accordingly.
Tested locally with existing UT (to make drop the event, locally
"LISTENER_BUS_EVENT_QUEUE_CAPACITY" is set to 1), using pri
Github user cloud-fan commented on a diff in the pull request:
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--- Diff:
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@@ -523,35 +523,114 @@ case class AlterTableRenamePartitionCommand(
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Github user cloud-fan commented on the issue:
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Do you know how other databases behave for `(a, b) in (struct_col1,
struct_col2, ...)` and `input_struct_col in (struct_col1, struct_col2, ...)`?
Since `(a, b)` may be treated specially, we need t
Github user cloud-fan commented on a diff in the pull request:
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--- Diff:
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---
@@ -124,4 +124,11 @@ class Re
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--- Diff:
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@@ -523,35 +523,114 @@ case class AlterTableRenamePartitionCommand(
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@@ -382,6 +382,30 @@ case class OuterReference(
Github user vofque commented on the issue:
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In a nutshell:
First we calculate field ordinals of array elements using java bean field
information (which doesn't guarantee any particular field order).
Then we apply these ordinals to the a
Github user vofque commented on the issue:
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The original problem is described here:
https://issues.apache.org/jira/browse/SPARK-21402
I'll try to explain what happens in detail.
Let's consider this data structure:
root
Github user wangyum commented on a diff in the pull request:
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--- Diff:
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@@ -2370,4 +2370,26 @@ class HiveDDLSuite
))
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@vanzin could I get a merge pls?
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> It looks to me that this is another instance of special handling (a, b,
..), like #21403
Yes, we might say so. The problem is specific to how `=` is implemented for
struct when one or mo
Github user LucaCanali commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/metrics/MetricsSystem.scala
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@@ -103,6 +103,14 @@ private[spark] class MetricsSystem private (
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--- Diff:
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@@ -34,11 +34,16 @@ import org.apache.spark.sql.types._
* @p
Github user eatoncys commented on the issue:
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@cloud-fan which should be proved is that: the partitions returned of p'
shound contain the partitions returned by p. Here, let p' = p && x, if x is
true then p' == p; else if x is false, the pari
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@@ -34,11 +34,16 @@ import org.apache.spark.sql.types._
*
Github user maropu commented on the issue:
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LGTM except for @dongjoon-hyun 's minor comment (we don't need the line 305)
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SparkSe
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retest this please
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LGTM
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Introducing a new concept which is similar to broadcast seems like an
overkill. We can just update broadcast, to allow it to be memory-only.
However, there might be simpler solutions to fi
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Github user cloud-fan commented on the issue:
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Please describe the idea clearly in the PR description.
After reading the code, I think the idea is, for any predicate `p`, we can
rewrite it to `p'` that only contains partition columns.
Github user shahidki31 closed the pull request at:
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I am closing the PR, since already one PR is there for the webui auto
refresh. Thanks.
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I wouldn't too, but there's no way for using `schema_of_csv` otherwise ..
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I wouldn't make schema a `Columm`. `Column` means it's dynamic, while I
think it should be a static value, to simplify the implementation.
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@felixcheung opened a jira issue at
https://issues.apache.org/jira/browse/SPARK-25730
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[SPARK-25729][CORE]It is better to replace `minPartitions` with
`defaultParallelism` , when `minPartitions` is less than `defaultParallelism`
## What changes were proposed in this pull request?
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Like ..
```
val csvData = "a,1,2"
from_csv(column, schema = schema_of_csv(lit(csvData)))
```
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retest this please
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