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--- Diff:
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} else {
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@@ -1295,15 +1295,15 @@ object SQLConf {
.booleanConf
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retest this please
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Change itself LGTM except that bool comparison one
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seems @cloud-fan comments are valid as it will not result in any behavior
change, I will update the PR accordingly WDYT @srowen
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LGTM, these functions have weird names and looks not very useful.
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@cloud-fan Thanks a lot.
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Github user cloud-fan commented on the issue:
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This is a behavior change and makes us different from Hive. However I can't
find a strong reason to do it. It's like importing a database, but we can't
automatically create table entries in the
Github user srowen commented on the issue:
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Owp, I've been misreading that several times. Right. Well by analogy, if a
database has a non default LOCATION then so do it's tables, and they are
treated like EXTERNAL tables. Dropping the DB
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I'm supportive of this change.
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@@ -1295,15 +1295,15 @@ object SQLConf {
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Github user cloud-fan commented on the issue:
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thanks, merging to master/2.4!
@dilipbiswal sorry I didn't see your comment while merging. If the problem
is about "implicit casting between two Map types", feel free to open a PR and
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@cloud-fan @ueshin I would like to ask a question here. There is one more
function i wanted to fix. Originally i wanted to do it as part of this PR..
then realized that its not as straight
Github user cloud-fan commented on the issue:
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> That link says Hive does support EXTERNAL. What am I missing?
Hive supports `EXTERNAL` only for tables, not databases.
The CREATE TABLE syntax:
```
CREATE [TEMPORARY]
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a possible approach: can we just not dispose the data in `TorrentBroadcast`?
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Thank you for review, @HyukjinKwon .
@softmanu . Could you take a look at
[SPARK-19228](https://github.com/apache/spark/pull/21363) and close this PR and
Apache Spark JIRA?
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The analysis makes sense to me. The thing I'm not sure is, how can we hit
it? The "fetch block to temp file" code path is only enabled for big blocks (>
2GB).
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Retest this please.
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nit. Could you add `[CORE]` to the PR title, too?
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yup; just did
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@rxin . Could you fill the PR description, too?
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Retest this please.
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I think this is a duplicate of https://github.com/apache/spark/pull/21363
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--- Diff: R/pkg/tests/fulltests/test_sparkSQL.R ---
@@ -2713,8 +2713,16 @@ test_that("read/write text files", {
expect_equal(colnames(df2),
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if (is.null(source)) {
source <-
Github user srowen commented on the issue:
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That link says Hive does support EXTERNAL. What am I missing? Well, in any
event we aren't contemplating a behavior change here.
If you delete a table with LOCATION specified, what should
Github user dongjoon-hyun commented on the issue:
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BTW, I don't think we need `withTempTable` and `withTempPath` in this PR.
Those are beyond of the scope of this PR.
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LGTM.
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Yep. This PR already is introducing new `trait` for `Benchmark` as a part
of grand refactoring plan. I think the other new `trait`s also possible at this
time. We will see. :)
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> It will be great to explain how limit works in whole stage codegen, in
general. This part is a little hard to understand and I believe many operators
need to deal with limit as well.
Ok.
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Thanks @dongjoon-hyun. except `withSQLConf`. We need `withTempTable` and
`withTempPath`:
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retest this please
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It will be great to explain how limit works in whole stage codegen, in
general. This part is a little hard to understand.
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Merged to master/branch-2.4/branch-2.3.
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Also, cc @gatorsmile . Since we need `withSQLConf` in both Benchmark and
TestSuite, I want to introduce `SupportWithSQLConf` trait .
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@wangyum . If you don't mind, could you review my PR to your branch,
https://github.com/wangyum/spark/pull/11, which
- deduplicates `withSQLConf` back
- runs on AWS EC2 `r3.xlarge`?
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LGTM. The PR description has a typo: `ArrayPosition` => `ArrayRemove`
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cc @ueshin @cloud-fan
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+/*
+ * Licensed to
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Github user cloud-fan commented on the issue:
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yea, in Spark we conflate the two and treat a table as external if location
is specified.
However, Hive doesn't have external database, see:
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--- Diff: docs/sql-programming-guide.md ---
@@ -1002,6 +1002,21 @@ Configuration of Parquet can be done using the
`setConf` method on `SparkSession
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One safe change is to not use the `lit` function, but to do a manual
pattern match and still use `Literal.apply`. We can investigate
`Literal.create` in a followup
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Github user seancxmao commented on a diff in the pull request:
https://github.com/apache/spark/pull/22453#discussion_r220038438
--- Diff: docs/sql-programming-guide.md ---
@@ -1002,6 +1002,21 @@ Configuration of Parquet can be done using the
`setConf` method on `SparkSession
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