[GitHub] spark pull request #22455: [SPARK-24572][SPARKR] "eager execution" for R she...
Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/22455#discussion_r219404319
--- Diff: R/pkg/R/DataFrame.R ---
@@ -244,11 +245,15 @@ setMethod("showDF",
#' @note show(SparkDataFrame) since 1.4.0
setMethod("show", "SparkDataFrame",
function(object) {
-cols <- lapply(dtypes(object), function(l) {
- paste(l, collapse = ":")
-})
-s <- paste(cols, collapse = ", ")
-cat(paste(class(object), "[", s, "]\n", sep = ""))
+if (identical(sparkR.conf("spark.sql.repl.eagerEval.enabled",
"false")[[1]], "true")) {
--- End diff --
I see. The document generated looks like
https://spark.apache.org/docs/latest/api/R/index.html.
Then rewriting the description is good and clear.
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[GitHub] spark pull request #22500: [SPARK-25488][TEST] Refactor MiscBenchmark to use...
Github user wangyum commented on a diff in the pull request: https://github.com/apache/spark/pull/22500#discussion_r219404392 --- Diff: sql/core/benchmarks/MiscBenchmark-results.txt --- @@ -0,0 +1,132 @@ + +filter & aggregate without group + + +Java HotSpot(TM) 64-Bit Server VM 1.8.0_151-b12 on Mac OS X 10.12.6 +Intel(R) Core(TM) i7-7820HQ CPU @ 2.90GHz + +range/filter/sum:Best/Avg Time(ms)Rate(M/s) Per Row(ns) Relative + +range/filter/sum wholestage off 36618 / 41080 57.3 17.5 1.0X +range/filter/sum wholestage on2495 / 2609840.4 1.2 14.7X + + + +range/limit/sum + + +Java HotSpot(TM) 64-Bit Server VM 1.8.0_151-b12 on Mac OS X 10.12.6 +Intel(R) Core(TM) i7-7820HQ CPU @ 2.90GHz + +range/limit/sum: Best/Avg Time(ms)Rate(M/s) Per Row(ns) Relative + +range/limit/sum wholestage off 117 / 121 4477.9 0.2 1.0X +range/limit/sum wholestage on 178 / 187 2938.1 0.3 0.7X + + + +sample + + +Java HotSpot(TM) 64-Bit Server VM 1.8.0_151-b12 on Mac OS X 10.12.6 +Intel(R) Core(TM) i7-7820HQ CPU @ 2.90GHz + +sample with replacement: Best/Avg Time(ms)Rate(M/s) Per Row(ns) Relative + +sample with replacement wholestage off9142 / 9182 14.3 69.8 1.0X +sample with replacement wholestage on 5926 / 6107 22.1 45.2 1.5X + +Java HotSpot(TM) 64-Bit Server VM 1.8.0_151-b12 on Mac OS X 10.12.6 +Intel(R) Core(TM) i7-7820HQ CPU @ 2.90GHz + +sample without replacement: Best/Avg Time(ms)Rate(M/s) Per Row(ns) Relative + +sample without replacement wholestage off 1834 / 1837 71.5 14.0 1.0X +sample without replacement wholestage on 784 / 803167.2 6.0 2.3X + + + +collect + + +Java HotSpot(TM) 64-Bit Server VM 1.8.0_151-b12 on Mac OS X 10.12.6 +Intel(R) Core(TM) i7-7820HQ CPU @ 2.90GHz + +collect: Best/Avg Time(ms)Rate(M/s) Per Row(ns) Relative + +collect 1 million 186 / 215 5.6 177.5 1.0X +collect 2 millions 361 / 393 2.9 344.2 0.5X +collect 4 millions 884 / 1053 1.2 843.4 0.2X + + + +collect limit + + +Java HotSpot(TM) 64-Bit Server VM 1.8.0_151-b12 on Mac OS X 10.12.6 +Intel(R) Core(TM) i7-7820HQ CPU @ 2.90GHz + +collect limit: Best/Avg Time(ms)Rate(M/s) Per Row(ns) Relative + +collect limit 1 million206 / 225 5.1 196.6 1.0X +collect limit 2 millions 407 / 419 2.6 387.8 0.5X + + + +generate explode +
[GitHub] spark issue #22515: [SPARK-19724][SQL] allowCreatingManagedTableUsingNonempt...
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[GitHub] spark issue #22515: [SPARK-19724][SQL] allowCreatingManagedTableUsingNonempt...
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[GitHub] spark pull request #22275: [SPARK-25274][PYTHON][SQL] In toPandas with Arrow...
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/22275#discussion_r219404072
--- Diff: python/pyspark/sql/tests.py ---
@@ -4434,6 +4434,12 @@ def test_timestamp_dst(self):
self.assertPandasEqual(pdf, df_from_python.toPandas())
self.assertPandasEqual(pdf, df_from_pandas.toPandas())
+def test_toPandas_batch_order(self):
+df = self.spark.range(64, numPartitions=8).toDF("a")
+with
self.sql_conf({"spark.sql.execution.arrow.maxRecordsPerBatch": 4}):
+pdf, pdf_arrow = self._toPandas_arrow_toggle(df)
+self.assertPandasEqual(pdf, pdf_arrow)
--- End diff --
hm, is this test case "enough" to trigger any possible problem just by
random? would increasing the number of batch or num record per batch increase
the chance of streaming order or concurrency issue perhaps?
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[GitHub] spark pull request #22461: [SPARK-25453][SQL][TEST] OracleIntegrationSuite I...
Github user seancxmao commented on a diff in the pull request:
https://github.com/apache/spark/pull/22461#discussion_r219403696
--- Diff:
external/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/OracleIntegrationSuite.scala
---
@@ -462,6 +464,9 @@ class OracleIntegrationSuite extends
DockerJDBCIntegrationSuite with SharedSQLCo
.option("lowerBound", "2018-07-04 03:30:00.0")
.option("upperBound", "2018-07-27 14:11:05.0")
.option("numPartitions", 2)
+ .option("oracle.jdbc.mapDateToTimestamp", "false")
--- End diff --
Yes, we need this. Otherwise, Spark will read column `d` values as Catalyst
type timestamp, which will fail the test.
https://user-images.githubusercontent.com/12194089/45865915-9e730800-bdb1-11e8-9a42-a1394c601166.png;>
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[GitHub] spark pull request #22442: [SPARK-25447][SQL] Support JSON options by schema...
Github user MaxGekk commented on a diff in the pull request:
https://github.com/apache/spark/pull/22442#discussion_r219403620
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/functions.scala ---
@@ -3611,6 +3611,20 @@ object functions {
*/
def schema_of_json(e: Column): Column = withExpr(new
SchemaOfJson(e.expr))
+ /**
+ * Parses a column containing a JSON string and infers its schema using
options.
+ *
+ * @param e a string column containing JSON data.
+ * @param options JSON datasource options that control JSON parsing and
type inference.
--- End diff --
As I see we don't fail . Simple example is if `multiLine` is enabled,
`lineSep` is ignored. There are another examples.
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[GitHub] spark issue #22275: [SPARK-25274][PYTHON][SQL] In toPandas with Arrow send o...
Github user felixcheung commented on the issue: https://github.com/apache/spark/pull/22275 got it. so the size of the each batch could grow. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #22514: [SPARK-25271][SQL] Hive ctas commands should use data so...
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[GitHub] spark pull request #22500: [SPARK-25488][TEST] Refactor MiscBenchmark to use...
Github user wangyum commented on a diff in the pull request: https://github.com/apache/spark/pull/22500#discussion_r219403342 --- Diff: sql/core/benchmarks/MiscBenchmark-results.txt --- @@ -0,0 +1,132 @@ + +filter & aggregate without group + + +Java HotSpot(TM) 64-Bit Server VM 1.8.0_151-b12 on Mac OS X 10.12.6 +Intel(R) Core(TM) i7-7820HQ CPU @ 2.90GHz + +range/filter/sum:Best/Avg Time(ms)Rate(M/s) Per Row(ns) Relative + +range/filter/sum wholestage off 36618 / 41080 57.3 17.5 1.0X +range/filter/sum wholestage on2495 / 2609840.4 1.2 14.7X + + + +range/limit/sum + + +Java HotSpot(TM) 64-Bit Server VM 1.8.0_151-b12 on Mac OS X 10.12.6 +Intel(R) Core(TM) i7-7820HQ CPU @ 2.90GHz + +range/limit/sum: Best/Avg Time(ms)Rate(M/s) Per Row(ns) Relative + +range/limit/sum wholestage off 117 / 121 4477.9 0.2 1.0X +range/limit/sum wholestage on 178 / 187 2938.1 0.3 0.7X + + + +sample + + +Java HotSpot(TM) 64-Bit Server VM 1.8.0_151-b12 on Mac OS X 10.12.6 +Intel(R) Core(TM) i7-7820HQ CPU @ 2.90GHz + +sample with replacement: Best/Avg Time(ms)Rate(M/s) Per Row(ns) Relative + +sample with replacement wholestage off9142 / 9182 14.3 69.8 1.0X +sample with replacement wholestage on 5926 / 6107 22.1 45.2 1.5X + +Java HotSpot(TM) 64-Bit Server VM 1.8.0_151-b12 on Mac OS X 10.12.6 +Intel(R) Core(TM) i7-7820HQ CPU @ 2.90GHz + +sample without replacement: Best/Avg Time(ms)Rate(M/s) Per Row(ns) Relative + +sample without replacement wholestage off 1834 / 1837 71.5 14.0 1.0X +sample without replacement wholestage on 784 / 803167.2 6.0 2.3X + + + +collect + + +Java HotSpot(TM) 64-Bit Server VM 1.8.0_151-b12 on Mac OS X 10.12.6 +Intel(R) Core(TM) i7-7820HQ CPU @ 2.90GHz + +collect: Best/Avg Time(ms)Rate(M/s) Per Row(ns) Relative + +collect 1 million 186 / 215 5.6 177.5 1.0X +collect 2 millions 361 / 393 2.9 344.2 0.5X +collect 4 millions 884 / 1053 1.2 843.4 0.2X + + + +collect limit + + +Java HotSpot(TM) 64-Bit Server VM 1.8.0_151-b12 on Mac OS X 10.12.6 +Intel(R) Core(TM) i7-7820HQ CPU @ 2.90GHz + +collect limit: Best/Avg Time(ms)Rate(M/s) Per Row(ns) Relative + +collect limit 1 million206 / 225 5.1 196.6 1.0X +collect limit 2 millions 407 / 419 2.6 387.8 0.5X + + + +generate explode +
[GitHub] spark issue #22458: [SPARK-25459] Add viewOriginalText back to CatalogTable
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[GitHub] spark pull request #22455: [SPARK-24572][SPARKR] "eager execution" for R she...
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/22455#discussion_r219402870
--- Diff: R/pkg/R/DataFrame.R ---
@@ -244,11 +245,15 @@ setMethod("showDF",
#' @note show(SparkDataFrame) since 1.4.0
setMethod("show", "SparkDataFrame",
function(object) {
-cols <- lapply(dtypes(object), function(l) {
- paste(l, collapse = ":")
-})
-s <- paste(cols, collapse = ", ")
-cat(paste(class(object), "[", s, "]\n", sep = ""))
+if (identical(sparkR.conf("spark.sql.repl.eagerEval.enabled",
"false")[[1]], "true")) {
--- End diff --
respecting `spark.sql.repl.eagerEval.maxNumRows` somewhat makes sense. but
instead of changing `showDF` which has other cases beyond eagerEval, we could
change where `showDF` is called by `show`, and pass the max rows.
here
https://github.com/apache/spark/pull/22455/files#diff-508641a8bd6c6b59f3e77c80cdcfa6a9R249
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[GitHub] spark issue #22514: [SPARK-25271][SQL] Hive ctas commands should use data so...
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[GitHub] spark issue #22458: [SPARK-25459] Add viewOriginalText back to CatalogTable
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[GitHub] spark issue #22511: [SPARK-25422][CORE] Don't memory map blocks streamed to ...
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[GitHub] spark issue #22316: [SPARK-25048][SQL] Pivoting by multiple columns in Scala...
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[GitHub] spark issue #22513: [SPARK-25499][TEST]Refactor BenchmarkBase and Benchmark
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[GitHub] spark pull request #22455: [SPARK-24572][SPARKR] "eager execution" for R she...
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/22455#discussion_r219402281
--- Diff: R/pkg/R/DataFrame.R ---
@@ -244,11 +245,15 @@ setMethod("showDF",
#' @note show(SparkDataFrame) since 1.4.0
setMethod("show", "SparkDataFrame",
function(object) {
-cols <- lapply(dtypes(object), function(l) {
- paste(l, collapse = ":")
-})
-s <- paste(cols, collapse = ", ")
-cat(paste(class(object), "[", s, "]\n", sep = ""))
+if (identical(sparkR.conf("spark.sql.repl.eagerEval.enabled",
"false")[[1]], "true")) {
--- End diff --
^ that - it's two different "overloads" for two different "class"
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[GitHub] spark issue #22513: [SPARK-25499][TEST]Refactor BenchmarkBase and Benchmark
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[GitHub] spark issue #22512: [SPARK-25498][SQL][WIP] Fix SQLQueryTestSuite failures w...
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[GitHub] spark issue #22458: [SPARK-25459] Add viewOriginalText back to CatalogTable
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[GitHub] spark issue #22513: [SPARK-25499][TEST]Refactor BenchmarkBase and Benchmark
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[GitHub] spark issue #22513: [SPARK-25499][TEST]Refactor BenchmarkBase and Benchmark
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[GitHub] spark issue #22513: [SPARK-25499][TEST]Refactor BenchmarkBase and Benchmark
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[GitHub] spark issue #22458: [SPARK-25459] Add viewOriginalText back to CatalogTable
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[GitHub] spark issue #22513: [SPARK-25499][TEST]Refactor BenchmarkBase and Benchmark
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[GitHub] spark issue #22513: [SPARK-25499][TEST]Refactor BenchmarkBase and Benchmark
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[GitHub] spark issue #22515: [SPARK-19724][SQL] allowCreatingManagedTableUsingNonempt...
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[GitHub] spark issue #22514: [SPARK-25271][SQL] Hive ctas commands should use data so...
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[GitHub] spark issue #22458: [SPARK-25459] Add viewOriginalText back to CatalogTable
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[GitHub] spark issue #22316: [SPARK-25048][SQL] Pivoting by multiple columns in Scala...
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[GitHub] spark issue #18544: [SPARK-21318][SQL]Improve exception message thrown by `l...
Github user stanzhai commented on the issue:
https://github.com/apache/spark/pull/18544
@cloud-fan
User's hive UDFs are registered in externalCatalog which not exists in
functionRegistry.
It will throws a NoSuchFunctionException when an exception is encountered
while loading a hive UDF.
But we should throw the original exception.
So, I just fix the issue by:
```
if (functionRegistry.functionExists(funcName)) {
throw error
} else {
...
}
```
changed to:
```
if (super.functionExists(name)) {
throw error
} else {
...
}
```
The following is implementation of `super.functionExists`
```
def functionExists(name: FunctionIdentifier): Boolean = {
val db = formatDatabaseName(name.database.getOrElse(getCurrentDatabase))
requireDbExists(db)
functionRegistry.functionExists(name) ||
externalCatalog.functionExists(db, name.funcName)
}
```
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[GitHub] spark issue #22494: [SPARK-22036][SQL][followup] DECIMAL_OPERATIONS_ALLOW_PR...
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[GitHub] spark issue #22471: [SPARK-25469][SQL][Performance] Eval methods of Concat, ...
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[GitHub] spark issue #22497: [SPARK-25487][SQL][TEST] Refactor PrimitiveArrayBenchmar...
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/22497 I see. I will wait in other PRs. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request #22331: [SPARK-25331][SS] Make FileStreamSink ignore part...
Github user HeartSaVioR commented on a diff in the pull request:
https://github.com/apache/spark/pull/22331#discussion_r219399313
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StagingFileCommitProtocol.scala
---
@@ -0,0 +1,141 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License. You may obtain a copy of the License at
+ *
+ *http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.sql.execution.streaming
+
+import org.apache.hadoop.fs.{FileAlreadyExistsException, FileContext, Path}
+import org.apache.hadoop.mapreduce.{JobContext, TaskAttemptContext}
+
+import org.apache.spark.internal.Logging
+import org.apache.spark.internal.io.FileCommitProtocol
+import org.apache.spark.internal.io.FileCommitProtocol.TaskCommitMessage
+
+class StagingFileCommitProtocol(jobId: String, path: String)
+ extends FileCommitProtocol with Serializable with Logging
+ with ManifestCommitProtocol {
+ private var stagingDir: Option[Path] = None
--- End diff --
Looks like you're using Option but always call `.get` without any checking.
In `setupTask` it is fine since assignment is placed in there, but in
`newTaskTempFile` we may be better to guard with `require` which achieves
fail-fast and let `.get` always succeed later.
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[GitHub] spark issue #22316: [SPARK-25048][SQL] Pivoting by multiple columns in Scala...
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[GitHub] spark issue #22497: [SPARK-25487][SQL][TEST] Refactor PrimitiveArrayBenchmar...
Github user gengliangwang commented on the issue:
https://github.com/apache/spark/pull/22497
Congratulation, @kiszk
I am working on https://github.com/apache/spark/pull/22513 . If it is
possible, could you wait until we reach an agreement in that PR before merging
other benchmark?
In this PR, there is also such problem:
```
import org.apache.spark.util.{Benchmark, BenchmarkBase => FileBenchmarkBase}
```
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[GitHub] spark issue #22513: [SPARK-25499][TEST]Refactor BenchmarkBase and Benchmark
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[GitHub] spark issue #22513: [SPARK-25499][TEST]Refactor BenchmarkBase and Benchmark
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[GitHub] spark issue #22513: [SPARK-25499][TEST]Refactor BenchmarkBase and Benchmark
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[GitHub] spark pull request #22513: [SPARK-25499][TEST]Refactor BenchmarkBase and Ben...
Github user gengliangwang commented on a diff in the pull request:
https://github.com/apache/spark/pull/22513#discussion_r219397646
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/benchmark/FilterPushdownBenchmark.scala
---
@@ -27,7 +27,7 @@ import
org.apache.spark.sql.functions.monotonically_increasing_id
import org.apache.spark.sql.internal.SQLConf
import org.apache.spark.sql.internal.SQLConf.ParquetOutputTimestampType
import org.apache.spark.sql.types.{ByteType, Decimal, DecimalType,
TimestampType}
-import org.apache.spark.util.{Benchmark, BenchmarkBase =>
FileBenchmarkBase, Utils}
+import org.apache.spark.util.Utils
/**
* Benchmark to measure read performance with Filter pushdown.
--- End diff --
Thanks, I have updated the doc ð
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[GitHub] spark pull request #22375: [SPARK-25388][Test][SQL] Detect incorrect nullabl...
Github user kiszk commented on a diff in the pull request:
https://github.com/apache/spark/pull/22375#discussion_r219397495
--- Diff:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ExpressionEvalHelperSuite.scala
---
@@ -35,6 +36,13 @@ class ExpressionEvalHelperSuite extends SparkFunSuite
with ExpressionEvalHelper
val e = intercept[RuntimeException] {
checkEvaluation(BadCodegenExpression(), 10) }
assert(e.getMessage.contains("some_variable"))
}
+
+ test("SPARK-25388: checkEvaluation should fail if nullable in DataType
is incorrect") {
+val e = intercept[RuntimeException] {
+ checkEvaluation(MapIncorrectDataTypeExpression(), Map(3 -> 7, 6 ->
null))
--- End diff --
The your first is correct since this patch addresses only codegen-on case.
We can add another code to address codegen-off case.
Regarding the your second point, have we ever distingished a wrong output
from a bad written UT when we defect the difference between `expression` and
`expected`. I think that the distinguishment is nice to have, but not mandatory
to have.
I have one question about your approach:
```
assert(containsNull(expected) && isNullable(expression.dataType))
```
Since the above two conditions evaluates `expected` and `expression`
independently, how this works for the following case? I think that the
assertion would be passed
```
expression:
dataType = StructType(ArrayType(IntegerType, false), ArrayType(IntegerType,
true))
Struct(Array(0, null), Array(1, 0))
expected:
Struct(Array(0, 0), Array(1, null))
```
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[GitHub] spark pull request #22508: [SPARK-23549][SQL] Rename config spark.sql.legacy...
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[GitHub] spark pull request #22515: [SPARK-19724][SQL] allowCreatingManagedTableUsing...
GitHub user rxin opened a pull request: https://github.com/apache/spark/pull/22515 [SPARK-19724][SQL] allowCreatingManagedTableUsingNonemptyLocation should have legacy prefix One more legacy config to go ... You can merge this pull request into a Git repository by running: $ git pull https://github.com/rxin/spark allowCreatingManagedTableUsingNonemptyLocation Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/22515.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #22515 commit f7c372e6f803c86e189e984fa6c1dd81f84454e9 Author: Reynold Xin Date: 2018-09-21T02:10:10Z [SPARK-19724][SQL] allowCreatingManagedTableUsingNonemptyLocation should have legacy prefix --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #22508: [SPARK-23549][SQL] Rename config spark.sql.legacy.compar...
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[GitHub] spark issue #22514: [SPARK-25271][SQL] Hive ctas commands should use data so...
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[GitHub] spark issue #22513: [SPARK-25499][TEST]Refactor BenchmarkBase and Benchmark
Github user gengliangwang commented on the issue: https://github.com/apache/spark/pull/22513 > KryoBenchmark is in core, and UnsafeProjectionBenchmark, HashByteArrayBenchmark and HashBenchmark are in catalyst. If we move the benchmark base class to sql, benchmarks mentioned above would not be able to inherit from the benchmark base class. What do you think? @wangyum The cases you mentioned are currently using the `org.apache.spark.sql.execution.benchmark.BenchmarkBase` (the old one), so it seems fine. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #22163: [SPARK-25166][CORE]Reduce the number of write operations...
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[GitHub] spark issue #22227: [SPARK-25202] [SQL] Implements split with limit sql func...
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[GitHub] spark issue #22163: [SPARK-25166][CORE]Reduce the number of write operations...
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[GitHub] spark issue #22163: [SPARK-25166][CORE]Reduce the number of write operations...
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[GitHub] spark issue #22497: [SPARK-25487][SQL][TEST] Refactor PrimitiveArrayBenchmar...
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[GitHub] spark issue #18544: [SPARK-21318][SQL]Improve exception message thrown by `l...
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[GitHub] spark pull request #22514: [SPARK-25271][SQL] Hive ctas commands should use ...
GitHub user viirya opened a pull request: https://github.com/apache/spark/pull/22514 [SPARK-25271][SQL] Hive ctas commands should use data source if it is convertible ## What changes were proposed in this pull request? We have a [regression](https://github.com/apache/spark/pull/20521/files#r217254430) since 2.3.1 that Hive ctas command only uses Hive Serde to write data. Hive ctas command previously will use Parquet/Orc data source to write data if it is convertible. Because of it, the related regression reported by this JIRA is when writing a empty map in to Hive using ctas, it hits Hive's known issue and is thrown exception. ## How was this patch tested? Added test. You can merge this pull request into a Git repository by running: $ git pull https://github.com/viirya/spark-1 SPARK-25271-2 Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/22514.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #22514 commit 5debc6096ae6e505d3386fd7eb569d154f158d55 Author: Liang-Chi Hsieh Date: 2018-09-12T10:33:53Z Hive ctas commands should use data source format if it is convertible. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request #22509: [SPARK-25384][SQL] Clarify fromJsonForceNullableS...
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[GitHub] spark issue #22497: [SPARK-25487][SQL][TEST] Refactor PrimitiveArrayBenchmar...
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[GitHub] spark issue #22509: [SPARK-25384][SQL] Clarify fromJsonForceNullableSchema w...
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/22509 lgtm, merging to master/2.4! --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark pull request #22461: [SPARK-25453][SQL][TEST] OracleIntegrationSuite I...
Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/22461#discussion_r219392779
--- Diff:
external/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/OracleIntegrationSuite.scala
---
@@ -462,6 +464,9 @@ class OracleIntegrationSuite extends
DockerJDBCIntegrationSuite with SharedSQLCo
.option("lowerBound", "2018-07-04 03:30:00.0")
.option("upperBound", "2018-07-27 14:11:05.0")
.option("numPartitions", 2)
+ .option("oracle.jdbc.mapDateToTimestamp", "false")
--- End diff --
Do we need this line?
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[GitHub] spark issue #22494: [SPARK-22036][SQL][followup] DECIMAL_OPERATIONS_ALLOW_PR...
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[GitHub] spark issue #22494: [SPARK-22036][SQL][followup] DECIMAL_OPERATIONS_ALLOW_PR...
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[GitHub] spark issue #22497: [SPARK-25487][SQL][TEST] Refactor PrimitiveArrayBenchmar...
Github user kiszk commented on the issue: https://github.com/apache/spark/pull/22497 Thanks! merging to master. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #22494: [SPARK-22036][SQL][followup] DECIMAL_OPERATIONS_ALLOW_PR...
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[GitHub] spark pull request #22497: [SPARK-25487][SQL][TEST] Refactor PrimitiveArrayB...
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[GitHub] spark issue #22509: [SPARK-25384][SQL] Clarify fromJsonForceNullableSchema w...
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