cloud-fan commented on a change in pull request #27415: [SPARK-30506][SQL][DOC]
Document for generic file source options/configs
URL: https://github.com/apache/spark/pull/27415#discussion_r373370720
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File path:
examples/src/main/java/org/apache/spark/examples/sql/JavaSQLDataSourceExample.java
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@@ -106,6 +107,43 @@ public static void main(String[] args) {
spark.stop();
}
+ private static void runGenericFileSourceOptionsExample(SparkSession spark) {
+ // $example on:ignore_corrupt_files$
+ // enable ignore corrupt files
+ spark.sql("set spark.sql.files.ignoreCorruptFiles=true");
+ // dir1/file3.json is corrupt from parquet's view
+ Dataset<Row> testCorruptDF = spark.read().parquet(
+ "examples/src/main/resources/dir1/",
+ "examples/src/main/resources/dir1/dir2/");
+ testCorruptDF.show();
+ // +-------------+
+ // | file|
+ // +-------------+
+ // |file1.parquet|
+ // |file2.parquet|
+ // +-------------+
+ // $example off:ignore_corrupt_files$
+ spark.sql("set spark.sql.files.ignoreMissingFiles=false");
+ // $example on:load_with_path_glob_filter$
+ Dataset<Row> partitionedUsersDF = spark.read().format("orc")
+ .option("pathGlobFilter", "*.orc")
+ .load("examples/src/main/resources/partitioned_users.orc");
Review comment:
shall we show the result like the previous example?
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