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sql/core/src/main/scala/org/apache/spark/sql/streaming/DataStreamReader.scala

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@@ -218,7 +218,7 @@ final class DataStreamReader private[sql](sparkSession: SparkSession) extends Lo
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* This function goes through the input once to determine the input schema. If you know the
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* schema in advance, use the version that specifies the schema to avoid the extra scan.
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*
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* You can set the following structured streaming option(s):
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* You can set the following option(s):
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* <ul>
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* <li>`maxFilesPerTrigger` (default: no max limit): sets the maximum number of new files to be
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* considered in every trigger.</li>
@@ -227,10 +227,6 @@ final class DataStreamReader private[sql](sparkSession: SparkSession) extends Lo
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* You can find the JSON-specific options for reading JSON file stream in
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* <a href="https://spark.apache.org/docs/latest/sql-data-sources-json.html#data-source-option">
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* Data Source Option</a> in the version you use.
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* More general options can be found in
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* <a href=
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* "https://spark.apache.org/docs/latest/sql-data-sources-generic-options.html">
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* Generic Files Source Options</a> in the version you use.
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*
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* @since 2.0.0
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*/

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