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[SPARK-29542][SQL][DOC] Make the descriptions of spark.sql.files.* be clearly #26200

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[SPARK-29542][SQL][DOC] Make the descriptions of spark.sql.files.* be clearly #26200

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[SPARK-29542] Make the description of spark.sql.files.maxPartitionByt…
turboFei Oct 22, 2019
7ecb7b6
fix style
turboFei Oct 22, 2019
4a56b2e
fix blank
turboFei Oct 22, 2019
849e995
revert
turboFei Oct 23, 2019
1de48df
refactor
turboFei Oct 23, 2019
7e115d8
revert maxRecordsPerFile
turboFei Oct 23, 2019
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23 changes: 13 additions & 10 deletions sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -980,33 +980,36 @@ object SQLConf {
.createWithDefault(true)

val FILES_MAX_PARTITION_BYTES = buildConf("spark.sql.files.maxPartitionBytes")
.doc("The maximum number of bytes to pack into a single partition when reading files.")
.doc("The maximum number of bytes to pack into a single partition when Spark file-based " +
"sources are used to read files.")
.bytesConf(ByteUnit.BYTE)
.createWithDefault(128 * 1024 * 1024) // parquet.block.size

val FILES_OPEN_COST_IN_BYTES = buildConf("spark.sql.files.openCostInBytes")
.internal()
.doc("The estimated cost to open a file, measured by the number of bytes could be scanned in" +
" the same time. This is used when putting multiple files into a partition. It's better to" +
" over estimated, then the partitions with small files will be faster than partitions with" +
" bigger files (which is scheduled first).")
.doc("The estimated cost to open a file, measured by the number of bytes could be scanned in " +
"the same time. This is used when putting multiple file-source files into a partition. " +
"It's better to over estimated, then the partitions with small files will be faster than " +
"partitions with bigger files (which is scheduled first).")
.longConf
.createWithDefault(4 * 1024 * 1024)

val IGNORE_CORRUPT_FILES = buildConf("spark.sql.files.ignoreCorruptFiles")
.doc("Whether to ignore corrupt files. If true, the Spark jobs will continue to run when " +
"encountering corrupted files and the contents that have been read will still be returned.")
.doc("Whether to ignore corrupt file-source files. If true, the Spark jobs will continue to " +
"run when encountering corrupted files and the contents that have been read will still be " +
"returned.")
.booleanConf
.createWithDefault(false)

val IGNORE_MISSING_FILES = buildConf("spark.sql.files.ignoreMissingFiles")
.doc("Whether to ignore missing files. If true, the Spark jobs will continue to run when " +
"encountering missing files and the contents that have been read will still be returned.")
.doc("Whether to ignore missing file-source files. If true, the Spark jobs will continue to " +
"run when encountering missing files and the contents that have been read will still be " +
"returned.")
.booleanConf
.createWithDefault(false)

val MAX_RECORDS_PER_FILE = buildConf("spark.sql.files.maxRecordsPerFile")
.doc("Maximum number of records to write out to a single file. " +
.doc("Maximum number of records to write out to a single file-source file. " +
"If this value is zero or negative, there is no limit.")
.longConf
.createWithDefault(0)
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