[
https://issues.apache.org/jira/browse/SPARK-26384?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16724201#comment-16724201
]
ASF GitHub Bot commented on SPARK-26384:
----------------------------------------
asfgit closed pull request #23345: [SPARK-26384][SQL] Propagate SQL configs for
CSV schema inferring
URL: https://github.com/apache/spark/pull/23345
This is a PR merged from a forked repository.
As GitHub hides the original diff on merge, it is displayed below for
the sake of provenance:
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diff --git
a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVDataSource.scala
b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVDataSource.scala
index b46dfb94c133e..375cec597166c 100644
---
a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVDataSource.scala
+++
b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVDataSource.scala
@@ -35,6 +35,7 @@ import org.apache.spark.rdd.{BinaryFileRDD, RDD}
import org.apache.spark.sql.{Dataset, Encoders, SparkSession}
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.csv.{CSVHeaderChecker, CSVInferSchema,
CSVOptions, UnivocityParser}
+import org.apache.spark.sql.execution.SQLExecution
import org.apache.spark.sql.execution.datasources._
import org.apache.spark.sql.execution.datasources.text.TextFileFormat
import org.apache.spark.sql.types.StructType
@@ -135,7 +136,9 @@ object TextInputCSVDataSource extends CSVDataSource {
val parser = new CsvParser(parsedOptions.asParserSettings)
linesWithoutHeader.map(parser.parseLine)
}
- new CSVInferSchema(parsedOptions).infer(tokenRDD, header)
+ SQLExecution.withSQLConfPropagated(csv.sparkSession) {
+ new CSVInferSchema(parsedOptions).infer(tokenRDD, header)
+ }
case _ =>
// If the first line could not be read, just return the empty schema.
StructType(Nil)
@@ -208,7 +211,9 @@ object MultiLineCSVDataSource extends CSVDataSource {
encoding = parsedOptions.charset)
}
val sampled = CSVUtils.sample(tokenRDD, parsedOptions)
- new CSVInferSchema(parsedOptions).infer(sampled, header)
+ SQLExecution.withSQLConfPropagated(sparkSession) {
+ new CSVInferSchema(parsedOptions).infer(sampled, header)
+ }
case None =>
// If the first row could not be read, just return the empty schema.
StructType(Nil)
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> CSV schema inferring does not respect spark.sql.legacy.timeParser.enabled
> -------------------------------------------------------------------------
>
> Key: SPARK-26384
> URL: https://issues.apache.org/jira/browse/SPARK-26384
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Maxim Gekk
> Assignee: Maxim Gekk
> Priority: Major
> Fix For: 3.0.0
>
>
> Starting from the commit
> [https://github.com/apache/spark/commit/f982ca07e80074bdc1e3b742c5e21cf368e4ede2]
> , add logging like in the comment
> https://github.com/apache/spark/pull/23150#discussion_r242021998 and run:
> {code:shell}
> $ ./bin/spark-shell --conf spark.sql.legacy.timeParser.enabled=true
> {code}
> and in the shell:
> {code:scala}
> scala> spark.conf.get("spark.sql.legacy.timeParser.enabled")
> res0: String = true
> scala>
> Seq("2010|10|10").toDF.repartition(1).write.mode("overwrite").text("/tmp/foo")
> scala> spark.read.option("inferSchema", "true").option("header",
> "false").option("timestampFormat", "yyyy|MM|dd").csv("/tmp/foo").printSchema()
> 18/12/17 12:11:47 ERROR TimestampFormatter: Iso8601TimestampFormatter is
> being used
> root
> |-- _c0: timestamp (nullable = true)
> {code}
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