Github user cloud-fan commented on a diff in the pull request: https://github.com/apache/spark/pull/22396#discussion_r217008531 --- Diff: docs/sql-programming-guide.md --- @@ -1898,6 +1898,7 @@ working with timestamps in `pandas_udf`s to get the best performance, see - Since Spark 2.4, File listing for compute statistics is done in parallel by default. This can be disabled by setting `spark.sql.parallelFileListingInStatsComputation.enabled` to `False`. - Since Spark 2.4, Metadata files (e.g. Parquet summary files) and temporary files are not counted as data files when calculating table size during Statistics computation. - Since Spark 2.4, empty strings are saved as quoted empty strings `""`. In version 2.3 and earlier, empty strings are equal to `null` values and do not reflect to any characters in saved CSV files. For example, the row of `"a", null, "", 1` was writted as `a,,,1`. Since Spark 2.4, the same row is saved as `a,,"",1`. To restore the previous behavior, set the CSV option `emptyValue` to empty (not quoted) string. + - Since Spark 2.4 load command from local filesystem supports wildcards in the folder level paths(e.g. LOAD DATA LOCAL INPATH 'tmp/folder*/). Now onwards normal space convention can be used in folder/file names (e.g. LOAD DATA INPATH 'tmp/folderName/file Name.csv), Older versions space in folder/file names has been represented using '%20'(e.g. LOAD DATA INPATH 'tmp/folderName/myFile%20Name.csv). --- End diff -- We should also mention that, the old way to escape the special chars will not work in 2.4.
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