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The changes looks good to me, but it should also be great to have a test
suite to cover this change. Seems we don't have a test suite for the rule
`SpecialLimits` ?
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Github user Ngone51 commented on the issue:
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Thanks for your opinions @squito @markhamstra .
Maybe, I should leave it for now.
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Nope not yet, I will try to make it within the next release soon.
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--- Diff: core/src/main/scala/org/apache/spark/SparkContext.scala ---
@@ -1643,7 +1646,10 @@ class SparkContext(config: SparkConf) extends
Logging {
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@hvanhovell @maropu Is there anything on this PR that I should do?
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@HyukjinKwon, is there another PR to handle CSV?
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LGTM
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Seems like it addresses similar problem to
https://github.com/apache/spark/pull/21095. It might be worth investigating how
to unify both.
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cc @gatorsmile
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ping @jiangxb1987
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Does this PR remove the ability to read directly from Tungsten memory, in
cases where one wants to avoid the serialization/deserialization costs? IOW, in
an `Expression` over a UDT, can one still
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Hi @ueshin @hvanhovell can you take a look at this please? Thanks!
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> Actually the `SupportsScanUnsafeRow` is only there to avoid perf
regression for migrating file sources. If you think that's not a good public
API, we can move it to internal package and only use
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+/*
+ * Licensed
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Github user shahidki31 commented on the issue:
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cc @mengxr @WeichenXu123 @felixcheung. Can you please verify this patch?
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I rebased this pr and resolved conflicts.
cc @cloud-fan @jiangxb1987 Not sure if you have interest on this.
Take a look if have time. Thanks !
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val
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@@ -1906,6 +1906,7 @@ setMethod("atan2", signature(y = "Column"),
#' @details
#' \code{datediff}:
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GitHub user lukmajercak opened a pull request:
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Add spark.executor.bindAddress
## What changes were proposed in this pull request?
Adding spark.executor.bindAddress to allow overriding the address to which
the RPC server will bind to on
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Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/20929#discussion_r186581349
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala ---
@@ -887,6 +887,14 @@ object SQLConf {
.booleanConf
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