asfgit closed pull request #23317: [SPARK-26368][SQL] Make it clear that
getOrInferFileFormatSchema doesn't create InMemoryFileIndex
URL: https://github.com/apache/spark/pull/23317
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diff --git
a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala
b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala
index 795a6d0b6b040..fefff68c4ba8b 100644
---
a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala
+++
b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala
@@ -122,21 +122,14 @@ case class DataSource(
* be any further inference in any triggers.
*
* @param format the file format object for this DataSource
- * @param fileIndex optional [[InMemoryFileIndex]] for getting partition
schema and file list
+ * @param getFileIndex [[InMemoryFileIndex]] for getting partition schema
and file list
* @return A pair of the data schema (excluding partition columns) and the
schema of the partition
* columns.
*/
private def getOrInferFileFormatSchema(
format: FileFormat,
- fileIndex: Option[InMemoryFileIndex] = None): (StructType, StructType) =
{
- // The operations below are expensive therefore try not to do them if we
don't need to, e.g.,
- // in streaming mode, we have already inferred and registered partition
columns, we will
- // never have to materialize the lazy val below
- lazy val tempFileIndex = fileIndex.getOrElse {
- val globbedPaths =
- checkAndGlobPathIfNecessary(checkEmptyGlobPath = false,
checkFilesExist = false)
- createInMemoryFileIndex(globbedPaths)
- }
+ getFileIndex: () => InMemoryFileIndex): (StructType, StructType) = {
+ lazy val tempFileIndex = getFileIndex()
val partitionSchema = if (partitionColumns.isEmpty) {
// Try to infer partitioning, because no DataSource in the read path
provides the partitioning
@@ -236,7 +229,15 @@ case class DataSource(
"you may be able to create a static DataFrame on that directory
with " +
"'spark.read.load(directory)' and infer schema from it.")
}
- val (dataSchema, partitionSchema) = getOrInferFileFormatSchema(format)
+
+ val (dataSchema, partitionSchema) = getOrInferFileFormatSchema(format,
() => {
+ // The operations below are expensive therefore try not to do them
if we don't need to,
+ // e.g., in streaming mode, we have already inferred and registered
partition columns,
+ // we will never have to materialize the lazy val below
+ val globbedPaths =
+ checkAndGlobPathIfNecessary(checkEmptyGlobPath = false,
checkFilesExist = false)
+ createInMemoryFileIndex(globbedPaths)
+ })
SourceInfo(
s"FileSource[$path]",
StructType(dataSchema ++ partitionSchema),
@@ -370,7 +371,7 @@ case class DataSource(
} else {
val index = createInMemoryFileIndex(globbedPaths)
val (resultDataSchema, resultPartitionSchema) =
- getOrInferFileFormatSchema(format, Some(index))
+ getOrInferFileFormatSchema(format, () => index)
(index, resultDataSchema, resultPartitionSchema)
}
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