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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2022/08/19 03:39:08 UTC
[GitHub] [spark] yikf opened a new pull request, #37574: [MINOR][SQL] Specify the column name when the data type is not supported by datasource
yikf opened a new pull request, #37574:
URL: https://github.com/apache/spark/pull/37574
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This is a minor fix and aims to specify the column name when the data type is not supported by datasource
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More explicit error messages
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No
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GA
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[GitHub] [spark] wangyum commented on a diff in pull request #37574: [SPARK-40207][SQL] Specify the column name when the data type is not supported by datasource
Posted by GitBox <gi...@apache.org>.
wangyum commented on code in PR #37574:
URL: https://github.com/apache/spark/pull/37574#discussion_r955989716
##########
sql/core/src/test/scala/org/apache/spark/sql/FileBasedDataSourceSuite.scala:
##########
@@ -257,58 +257,64 @@ class FileBasedDataSourceSuite extends QueryTest
// Text file format only supports string type
test("SPARK-24691 error handling for unsupported types - text") {
withTempDir { dir =>
+ def validateErrorMessage(msg: String, column: String, dt: String, format: String): Unit = {
+ val excepted = s"column `$column` has a data type of $dt, " +
+ s"which is not supported by $format."
+ assert(msg.toLowerCase(Locale.ROOT).contains(excepted))
Review Comment:
Why do we need `toLowerCase`?
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[GitHub] [spark] wangyum closed pull request #37574: [SPARK-40207][SQL] Specify the column name when the data type is not supported by datasource
Posted by GitBox <gi...@apache.org>.
wangyum closed pull request #37574: [SPARK-40207][SQL] Specify the column name when the data type is not supported by datasource
URL: https://github.com/apache/spark/pull/37574
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[GitHub] [spark] wangyum commented on a diff in pull request #37574: [SPARK-40207][SQL] Specify the column name when the data type is not supported by datasource
Posted by GitBox <gi...@apache.org>.
wangyum commented on code in PR #37574:
URL: https://github.com/apache/spark/pull/37574#discussion_r957913997
##########
sql/hive/src/test/scala/org/apache/spark/sql/hive/orc/HiveOrcSourceSuite.scala:
##########
@@ -112,37 +113,43 @@ class HiveOrcSourceSuite extends OrcSuite with TestHiveSingleton {
withTempDir { dir =>
val orcDir = new File(dir, "orc").getCanonicalPath
+ def validateErrorMessage(msg: String, column: String, dt: String, format: String): Unit = {
+ val excepted = s"column `$column` has a data type of $dt, " +
+ s"which is not supported by $format."
+ assert(msg.toLowerCase(Locale.ROOT).contains(excepted))
Review Comment:
Let's remove `.toLowerCase(Locale.ROOT)`.
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[GitHub] [spark] wangyum commented on a diff in pull request #37574: [SPARK-40207][SQL] Specify the column name when the data type is not supported by datasource
Posted by GitBox <gi...@apache.org>.
wangyum commented on code in PR #37574:
URL: https://github.com/apache/spark/pull/37574#discussion_r958049599
##########
connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSuite.scala:
##########
@@ -1181,14 +1181,16 @@ abstract class AvroSuite
sql("select interval 1 days").write.format("avro").mode("overwrite").save(tempDir)
}.getMessage
assert(msg.contains("Cannot save interval data type into external storage.") ||
- msg.contains("AVRO data source does not support interval data type."))
+ msg.contains("column `interval 1 days` has a data type of interval, " +
+ "which is not supported by avro."))
Review Comment:
It should be:
```
Column `INTERVAL '1' DAY` has a data type of interval day, which is not supported by Avro.
```
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[GitHub] [spark] Yikf commented on a diff in pull request #37574: [SPARK-40207][SQL] Specify the column name when the data type is not supported by datasource
Posted by GitBox <gi...@apache.org>.
Yikf commented on code in PR #37574:
URL: https://github.com/apache/spark/pull/37574#discussion_r958162570
##########
connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSuite.scala:
##########
@@ -1181,14 +1181,16 @@ abstract class AvroSuite
sql("select interval 1 days").write.format("avro").mode("overwrite").save(tempDir)
}.getMessage
assert(msg.contains("Cannot save interval data type into external storage.") ||
- msg.contains("AVRO data source does not support interval data type."))
+ msg.contains("column `interval 1 days` has a data type of interval, " +
+ "which is not supported by avro."))
Review Comment:
Yes, updated
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[GitHub] [spark] wangyum commented on a diff in pull request #37574: [SPARK-40207][SQL] Specify the column name when the data type is not supported by datasource
Posted by GitBox <gi...@apache.org>.
wangyum commented on code in PR #37574:
URL: https://github.com/apache/spark/pull/37574#discussion_r957914185
##########
sql/hive/src/test/scala/org/apache/spark/sql/hive/orc/HiveOrcSourceSuite.scala:
##########
@@ -112,37 +113,43 @@ class HiveOrcSourceSuite extends OrcSuite with TestHiveSingleton {
withTempDir { dir =>
val orcDir = new File(dir, "orc").getCanonicalPath
+ def validateErrorMessage(msg: String, column: String, dt: String, format: String): Unit = {
+ val excepted = s"column `$column` has a data type of $dt, " +
+ s"which is not supported by $format."
+ assert(msg.toLowerCase(Locale.ROOT).contains(excepted))
+ }
+
// write path
var msg = intercept[AnalysisException] {
sql("select interval 1 days").write.mode("overwrite").orc(orcDir)
}.getMessage
- assert(msg.contains("ORC data source does not support interval day data type"))
+ validateErrorMessage(msg, "interval '1' day", "interval day", "orc")
Review Comment:
`validateErrorMessage(msg, "interval '1' day", "interval day", "orc")` -> `validateErrorMessage(msg, "INTERVAL '1' DAY", "interval day", "ORC")`?
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[GitHub] [spark] wangyum commented on pull request #37574: [MINOR][SQL] Specify the column name when the data type is not supported by datasource
Posted by GitBox <gi...@apache.org>.
wangyum commented on PR #37574:
URL: https://github.com/apache/spark/pull/37574#issuecomment-1225737366
Could you file a jira ticket?
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[GitHub] [spark] wangyum commented on pull request #37574: [SPARK-40207][SQL] Specify the column name when the data type is not supported by datasource
Posted by GitBox <gi...@apache.org>.
wangyum commented on PR #37574:
URL: https://github.com/apache/spark/pull/37574#issuecomment-1231512083
Merged to master.
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[GitHub] [spark] wangyum commented on a diff in pull request #37574: [SPARK-40207][SQL] Specify the column name when the data type is not supported by datasource
Posted by GitBox <gi...@apache.org>.
wangyum commented on code in PR #37574:
URL: https://github.com/apache/spark/pull/37574#discussion_r957957465
##########
sql/core/src/test/scala/org/apache/spark/sql/FileBasedDataSourceSuite.scala:
##########
@@ -319,56 +325,62 @@ class FileBasedDataSourceSuite extends QueryTest
// parquet -> R/W: Interval, Null
test("SPARK-24204 error handling for unsupported Array/Map/Struct types - csv") {
withTempDir { dir =>
+ def validateErrorMessage(msg: String, column: String, dt: String, format: String): Unit = {
+ val excepted = s"column `$column` has a data type of $dt, " +
+ s"which is not supported by $format."
+ assert(msg.toLowerCase(Locale.ROOT).contains(excepted))
Review Comment:
Please remove `.toLowerCase(Locale.ROOT)`.
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[GitHub] [spark] Yikf commented on pull request #37574: [SPARK-40207][SQL] Specify the column name when the data type is not supported by datasource
Posted by GitBox <gi...@apache.org>.
Yikf commented on PR #37574:
URL: https://github.com/apache/spark/pull/37574#issuecomment-1225784190
> Could you file a jira ticket?
done
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[GitHub] [spark] wangyum commented on a diff in pull request #37574: [SPARK-40207][SQL] Specify the column name when the data type is not supported by datasource
Posted by GitBox <gi...@apache.org>.
wangyum commented on code in PR #37574:
URL: https://github.com/apache/spark/pull/37574#discussion_r958049599
##########
connector/avro/src/test/scala/org/apache/spark/sql/avro/AvroSuite.scala:
##########
@@ -1181,14 +1181,16 @@ abstract class AvroSuite
sql("select interval 1 days").write.format("avro").mode("overwrite").save(tempDir)
}.getMessage
assert(msg.contains("Cannot save interval data type into external storage.") ||
- msg.contains("AVRO data source does not support interval data type."))
+ msg.contains("column `interval 1 days` has a data type of interval, " +
+ "which is not supported by avro."))
Review Comment:
It should be:
```
Column `INTERVAL '1' DAY` has a data type of interval, which is not supported by Avro.
```
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[GitHub] [spark] wangyum commented on a diff in pull request #37574: [SPARK-40207][SQL] Specify the column name when the data type is not supported by datasource
Posted by GitBox <gi...@apache.org>.
wangyum commented on code in PR #37574:
URL: https://github.com/apache/spark/pull/37574#discussion_r957914905
##########
sql/core/src/test/scala/org/apache/spark/sql/FileBasedDataSourceSuite.scala:
##########
@@ -257,58 +257,64 @@ class FileBasedDataSourceSuite extends QueryTest
// Text file format only supports string type
test("SPARK-24691 error handling for unsupported types - text") {
withTempDir { dir =>
+ def validateErrorMessage(msg: String, column: String, dt: String, format: String): Unit = {
+ val excepted = s"column `$column` has a data type of $dt, " +
+ s"which is not supported by $format."
+ assert(msg.toLowerCase(Locale.ROOT).contains(excepted))
+ }
+
// write path
val textDir = new File(dir, "text").getCanonicalPath
var msg = intercept[AnalysisException] {
Seq(1).toDF.write.text(textDir)
}.getMessage
- assert(msg.contains("Text data source does not support int data type"))
+ validateErrorMessage(msg, "value", "int", "text")
Review Comment:
`validateErrorMessage(msg, "value", "int", "text")` -> `validateErrorMessage(msg, "value", "int", "Text")`?
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[GitHub] [spark] Yikf commented on a diff in pull request #37574: [SPARK-40207][SQL] Specify the column name when the data type is not supported by datasource
Posted by GitBox <gi...@apache.org>.
Yikf commented on code in PR #37574:
URL: https://github.com/apache/spark/pull/37574#discussion_r955994504
##########
sql/core/src/test/scala/org/apache/spark/sql/FileBasedDataSourceSuite.scala:
##########
@@ -257,58 +257,64 @@ class FileBasedDataSourceSuite extends QueryTest
// Text file format only supports string type
test("SPARK-24691 error handling for unsupported types - text") {
withTempDir { dir =>
+ def validateErrorMessage(msg: String, column: String, dt: String, format: String): Unit = {
+ val excepted = s"column `$column` has a data type of $dt, " +
+ s"which is not supported by $format."
+ assert(msg.toLowerCase(Locale.ROOT).contains(excepted))
Review Comment:
we thrown `AnalysisException` which error message contains upper `Column`
```
new AnalysisException(s"Column `${field.name}` has a data type of " +
s"${field.dataType.catalogString}, which is not supported by $format."
)
```
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[GitHub] [spark] AmplabJenkins commented on pull request #37574: [MINOR][SQL] Specify the column name when the data type is not supported by datasource
Posted by GitBox <gi...@apache.org>.
AmplabJenkins commented on PR #37574:
URL: https://github.com/apache/spark/pull/37574#issuecomment-1220343416
Can one of the admins verify this patch?
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[GitHub] [spark] wangyum commented on a diff in pull request #37574: [SPARK-40207][SQL] Specify the column name when the data type is not supported by datasource
Posted by GitBox <gi...@apache.org>.
wangyum commented on code in PR #37574:
URL: https://github.com/apache/spark/pull/37574#discussion_r957914603
##########
sql/core/src/test/scala/org/apache/spark/sql/FileBasedDataSourceSuite.scala:
##########
@@ -257,58 +257,64 @@ class FileBasedDataSourceSuite extends QueryTest
// Text file format only supports string type
test("SPARK-24691 error handling for unsupported types - text") {
withTempDir { dir =>
+ def validateErrorMessage(msg: String, column: String, dt: String, format: String): Unit = {
+ val excepted = s"column `$column` has a data type of $dt, " +
+ s"which is not supported by $format."
+ assert(msg.toLowerCase(Locale.ROOT).contains(excepted))
Review Comment:
Let's remove `.toLowerCase(Locale.ROOT)`.
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[GitHub] [spark] Yikf commented on a diff in pull request #37574: [SPARK-40207][SQL] Specify the column name when the data type is not supported by datasource
Posted by GitBox <gi...@apache.org>.
Yikf commented on code in PR #37574:
URL: https://github.com/apache/spark/pull/37574#discussion_r958015729
##########
sql/core/src/test/scala/org/apache/spark/sql/FileBasedDataSourceSuite.scala:
##########
@@ -319,56 +325,62 @@ class FileBasedDataSourceSuite extends QueryTest
// parquet -> R/W: Interval, Null
test("SPARK-24204 error handling for unsupported Array/Map/Struct types - csv") {
withTempDir { dir =>
+ def validateErrorMessage(msg: String, column: String, dt: String, format: String): Unit = {
+ val excepted = s"column `$column` has a data type of $dt, " +
+ s"which is not supported by $format."
+ assert(msg.toLowerCase(Locale.ROOT).contains(excepted))
Review Comment:
updated, thanks
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[GitHub] [spark] wangyum commented on a diff in pull request #37574: [SPARK-40207][SQL] Specify the column name when the data type is not supported by datasource
Posted by GitBox <gi...@apache.org>.
wangyum commented on code in PR #37574:
URL: https://github.com/apache/spark/pull/37574#discussion_r958028056
##########
sql/core/src/test/scala/org/apache/spark/sql/FileBasedDataSourceSuite.scala:
##########
@@ -429,8 +441,8 @@ class FileBasedDataSourceSuite extends QueryTest
} else {
""
}
- def errorMessage(format: String): String = {
- s"$format data source does not support void data type."
+ def errorMessage(format: String, column: String = "null"): String = {
Review Comment:
Could we remove this default value since it is only used once?
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[GitHub] [spark] Yikf commented on pull request #37574: [MINOR][SQL] Specify the column name when the data type is not supported by datasource
Posted by GitBox <gi...@apache.org>.
Yikf commented on PR #37574:
URL: https://github.com/apache/spark/pull/37574#issuecomment-1225332724
friendly ping @wangyum @LuciferYang , PTAL if you find a moment
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