[GitHub] spark issue #22468: [SPARK-25374][SQL] SafeProjection supports fallback to a...
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[GitHub] spark issue #23194: [MINOR][SQL] Combine the same codes in test cases
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[GitHub] spark pull request #20433: [SPARK-23264][SQL] Make INTERVAL keyword optional...
Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/20433#discussion_r238152087
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala ---
@@ -335,6 +335,12 @@ object SQLConf {
.booleanConf
.createWithDefault(true)
+ val ANSI_SQL_PARSER =
+buildConf("spark.sql.parser.ansi.enabled")
+ .doc("When true, tries to conform to ANSI SQL syntax.")
+ .booleanConf
+ .createWithDefault(false)
--- End diff --
updated
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[GitHub] spark pull request #22512: [SPARK-25498][SQL] InterpretedMutableProjection s...
Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/22512#discussion_r238151565
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/InterpretedMutableProjection.scala
---
@@ -64,7 +85,7 @@ class InterpretedMutableProjection(expressions:
Seq[Expression]) extends Mutable
i = 0
while (i < validExprs.length) {
val (_, ordinal) = validExprs(i)
- mutableRow(ordinal) = buffer(ordinal)
+ fieldWriters(i)(buffer(ordinal))
--- End diff --
ah, sounds reasonable. I'll update later.
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[GitHub] spark issue #23088: [SPARK-26119][CORE][WEBUI]Task summary table should cont...
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[GitHub] spark issue #23164: [SPARK-26198][SQL] Fix Metadata serialize null values th...
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[GitHub] spark pull request #22512: [SPARK-25498][SQL] InterpretedMutableProjection s...
Github user ueshin commented on a diff in the pull request:
https://github.com/apache/spark/pull/22512#discussion_r238146834
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/InterpretedMutableProjection.scala
---
@@ -64,7 +85,7 @@ class InterpretedMutableProjection(expressions:
Seq[Expression]) extends Mutable
i = 0
while (i < validExprs.length) {
val (_, ordinal) = validExprs(i)
- mutableRow(ordinal) = buffer(ordinal)
+ fieldWriters(i)(buffer(ordinal))
--- End diff --
Since `fieldWriters` is accessed via index, we should use `IndexedSeq` or
`Array` explicitly?
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[GitHub] spark issue #23088: [SPARK-26119][CORE][WEBUI]Task summary table should cont...
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[GitHub] spark issue #22999: [SPARK-20319][SQL] Already quoted identifiers are gettin...
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[GitHub] spark issue #22318: [SPARK-25150][SQL] Rewrite condition when deduplicate Jo...
Github user maropu commented on the issue: https://github.com/apache/spark/pull/22318 @peter-toth we cannot fix the issue of the description without changing [the existing behaviour](https://github.com/apache/spark/pull/22318#issuecomment-426317617)? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request #23201: [SPARK-26246][SQL] Infer date and timestamp types...
Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/23201#discussion_r238141831
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/json/JsonInferSchema.scala
---
@@ -121,7 +121,18 @@ private[sql] class JsonInferSchema(options:
JSONOptions) extends Serializable {
DecimalType(bigDecimal.precision, bigDecimal.scale)
}
decimalTry.getOrElse(StringType)
- case VALUE_STRING => StringType
+ case VALUE_STRING =>
+val stringValue = parser.getText
+if ((allCatch opt
options.timestampFormat.parse(stringValue)).isDefined) {
--- End diff --
I haven't tested this by myself but I think it has the same problem
(https://github.com/apache/spark/pull/23202#discussion_r238141702)
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[GitHub] spark pull request #23202: [SPARK-26248][SQL] Infer date type from CSV
Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/23202#discussion_r238141702
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/CSVInferSchema.scala
---
@@ -98,6 +100,7 @@ class CSVInferSchema(options: CSVOptions) extends
Serializable {
compatibleType(typeSoFar,
tryParseDecimal(field)).getOrElse(StringType)
case DoubleType => tryParseDouble(field)
case TimestampType => tryParseTimestamp(field)
+case DateType => tryParseDate(field)
--- End diff --
I mean, IIRC, if the pattern is, for instance, `-MM-dd`, 2010-10-10 and
also 2018-12-02T21:04:00.123567 are parsed as dates because the current parsing
library checks if the string is matched and ignore the rest of them.
So, if we try date first, it will works for its default value but it we do
some weird patterns, it wouldn't work again.
I was thinking we can fix it if we use `DateTimeFormatter`.
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[GitHub] spark pull request #23202: [SPARK-26248][SQL] Infer date type from CSV
Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/23202#discussion_r238141062
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/csv/CSVInferSchema.scala
---
@@ -98,6 +100,7 @@ class CSVInferSchema(options: CSVOptions) extends
Serializable {
compatibleType(typeSoFar,
tryParseDecimal(field)).getOrElse(StringType)
case DoubleType => tryParseDouble(field)
case TimestampType => tryParseTimestamp(field)
+case DateType => tryParseDate(field)
--- End diff --
The problem here is it looks a bit odd that we try date type later. IIRC
the root cause is related with date paring library. Couldn't we try date first
if we switch the parsing library? I thought that's in progress.
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[GitHub] spark issue #23194: [MINOR][SQL] Combine the same codes in test cases
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[GitHub] spark issue #23194: [MINOR][SQL] Combine the same codes in test cases
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[GitHub] spark pull request #22561: [SPARK-25548][SQL]In the PruneFileSourcePartition...
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[GitHub] spark issue #22512: [SPARK-25498][SQL] InterpretedMutableProjection should h...
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[GitHub] spark pull request #20269: [SPARK-23029] [DOCS] Specifying default units of ...
Github user Ngone51 commented on a diff in the pull request:
https://github.com/apache/spark/pull/20269#discussion_r238135789
--- Diff:
core/src/main/scala/org/apache/spark/internal/config/package.scala ---
@@ -38,10 +38,13 @@ package object config {
ConfigBuilder("spark.driver.userClassPathFirst").booleanConf.createWithDefault(false)
private[spark] val DRIVER_MEMORY = ConfigBuilder("spark.driver.memory")
+.doc("Amount of memory to use for the driver process, in MiB unless
otherwise specified.")
.bytesConf(ByteUnit.MiB)
.createWithDefaultString("1g")
private[spark] val DRIVER_MEMORY_OVERHEAD =
ConfigBuilder("spark.driver.memoryOverhead")
+.doc("The amount of off-heap memory to be allocated per driver in
cluster mode, " +
--- End diff --
Hi, @ferdonline , can you explain why this is **off-heap** memory ?
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[GitHub] spark issue #23164: [SPARK-26198][SQL] Fix Metadata serialize null values th...
Github user wangyum commented on the issue: https://github.com/apache/spark/pull/23164 I think we should back-port because we can [`putNull`](https://github.com/apache/spark/blob/630e25e35506c02a0b1e202ef82b1b0f69e50966/sql/catalyst/src/main/scala/org/apache/spark/sql/types/Metadata.scala#L246), but can not serialize it without this patch. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request #23088: [SPARK-26119][CORE][WEBUI]Task summary table shou...
Github user shahidki31 commented on a diff in the pull request:
https://github.com/apache/spark/pull/23088#discussion_r238135277
--- Diff: core/src/main/scala/org/apache/spark/status/AppStatusStore.scala
---
@@ -148,11 +148,20 @@ private[spark] class AppStatusStore(
// cheaper for disk stores (avoids deserialization).
val count = {
Utils.tryWithResource(
-store.view(classOf[TaskDataWrapper])
- .parent(stageKey)
- .index(TaskIndexNames.EXEC_RUN_TIME)
- .first(0L)
- .closeableIterator()
+if (store.isInstanceOf[LevelDB]) {
--- End diff --
Yes. Now, for diskStore case, it finds total tasks count and inMemory case
only successful tasks count.
This 'count' is used to find quantileIndices for all the tasks metrics.
https://github.com/apache/spark/blob/676bbb2446af1f281b8f76a5428b7ba75b7588b3/core/src/main/scala/org/apache/spark/status/AppStatusStore.scala#L222
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[GitHub] spark issue #23152: [SPARK-26181][SQL] the `hasMinMaxStats` method of `Colum...
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[GitHub] spark issue #23032: [WIP][SPARK-26061][SQL][MINOR] Reduce the number of unus...
Github user maropu commented on the issue: https://github.com/apache/spark/pull/23032 We cannot fix the root cause in `GenerateUnsafeProjection.createCode()`? I think, since we don't check if all the mutable variables are used in gen'd code, the similar issue can easily happen in other places... --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #23152: [SPARK-26181][SQL] the `hasMinMaxStats` method of `Colum...
Github user adrian-wang commented on the issue: https://github.com/apache/spark/pull/23152 @juliuszsompolski I have updated it accordingly, thanks! --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request #23199: [SPARK-26245][SQL] Add Float literal
Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/23199#discussion_r238130900
--- Diff:
sql/catalyst/src/main/antlr4/org/apache/spark/sql/catalyst/parser/SqlBase.g4 ---
@@ -1045,6 +1046,11 @@ DOUBLE_LITERAL
| DECIMAL_DIGITS EXPONENT? 'D' {isValidDecimal()}?
;
+FLOAT_LITERAL
+: DIGIT+ EXPONENT? 'F'
+| DECIMAL_DIGITS EXPONENT? 'F' {isValidDecimal()}?
--- End diff --
This is implementation-specific;
```
hive> create temporary table t1 as select 1.0F;
hive> describe t1;
OK
f decimal(1,0)
hive> create temporary table t2 as select 1.0D;
hive> describe t2;
OK
_c0 double
```
```
postgres=# create temporary table t1 as select 1.0F;
postgres=# \d t1
f | numeric |
postgres=# create temporary table t2 as select 1.0D;
postgres=# \d t2
d | numeric |
```
```
mysql> create temporary table t1 as select 1.0F;
mysql> describe t1;
+---+--+--+-+-+---+
| Field | Type | Null | Key | Default | Extra |
+---+--+--+-+-+---+
| F | decimal(2,1) | NO | | 0.0 | NULL |
+---+--+--+-+-+---+
mysql> create temporary table t2 as select 1.0D;
mysql> describe t2;
+---+--+--+-+-+---+
| Field | Type | Null | Key | Default | Extra |
+---+--+--+-+-+---+
| D | decimal(2,1) | NO | | 0.0 | NULL |
+---+--+--+-+-+---+
```
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[GitHub] spark issue #23163: [SPARK-26164][SQL] Allow FileFormatWriter to write multi...
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[GitHub] spark issue #23202: [SPARK-26248][SQL] Infer date type from CSV
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[GitHub] spark issue #23202: [SPARK-26248][SQL] Infer date type from CSV
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[GitHub] spark issue #23190: [MINOR][ FOLLOW-UP][SQL]throw SparkOutOfMemoryError inte...
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[GitHub] spark issue #22512: [SPARK-25498][SQL] InterpretedMutableProjection should h...
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[GitHub] spark issue #22512: [SPARK-25498][SQL] InterpretedMutableProjection should h...
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[GitHub] spark issue #22512: [SPARK-25498][SQL] InterpretedMutableProjection should h...
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