HyukjinKwon commented on a change in pull request #32204:
URL: https://github.com/apache/spark/pull/32204#discussion_r635793237
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File path: sql/core/src/main/scala/org/apache/spark/sql/DataFrameReader.scala
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@@ -441,81 +390,13 @@ class DataFrameReader private[sql](sparkSession:
SparkSession) extends Logging {
* This function goes through the input once to determine the input schema.
If you know the
* schema in advance, use the version that specifies the schema to avoid the
extra scan.
*
- * You can set the following JSON-specific options to deal with non-standard
JSON files:
- * <ul>
- * <li>`primitivesAsString` (default `false`): infers all primitive values
as a string type</li>
- * <li>`prefersDecimal` (default `false`): infers all floating-point values
as a decimal
- * type. If the values do not fit in decimal, then it infers them as
doubles.</li>
- * <li>`allowComments` (default `false`): ignores Java/C++ style comment in
JSON records</li>
- * <li>`allowUnquotedFieldNames` (default `false`): allows unquoted JSON
field names</li>
- * <li>`allowSingleQuotes` (default `true`): allows single quotes in
addition to double quotes
- * </li>
- * <li>`allowNumericLeadingZeros` (default `false`): allows leading zeros in
numbers
- * (e.g. 00012)</li>
- * <li>`allowBackslashEscapingAnyCharacter` (default `false`): allows
accepting quoting of all
- * character using backslash quoting mechanism</li>
- * <li>`allowUnquotedControlChars` (default `false`): allows JSON Strings to
contain unquoted
- * control characters (ASCII characters with value less than 32, including
tab and line feed
- * characters) or not.</li>
- * <li>`mode` (default `PERMISSIVE`): allows a mode for dealing with corrupt
records
- * during parsing.
- * <ul>
- * <li>`PERMISSIVE` : when it meets a corrupted record, puts the
malformed string into a
- * field configured by `columnNameOfCorruptRecord`, and sets malformed
fields to `null`. To
- * keep corrupt records, an user can set a string type field named
- * `columnNameOfCorruptRecord` in an user-defined schema. If a schema
does not have the
- * field, it drops corrupt records during parsing. When inferring a
schema, it implicitly
- * adds a `columnNameOfCorruptRecord` field in an output schema.</li>
- * <li>`DROPMALFORMED` : ignores the whole corrupted records.</li>
- * <li>`FAILFAST` : throws an exception when it meets corrupted
records.</li>
- * </ul>
- * </li>
- * <li>`columnNameOfCorruptRecord` (default is the value specified in
- * `spark.sql.columnNameOfCorruptRecord`): allows renaming the new field
having malformed string
- * created by `PERMISSIVE` mode. This overrides
`spark.sql.columnNameOfCorruptRecord`.</li>
- * <li>`dateFormat` (default `yyyy-MM-dd`): sets the string that indicates a
date format.
- * Custom date formats follow the formats at
- * <a
href="https://spark.apache.org/docs/latest/sql-ref-datetime-pattern.html";>
- * Datetime Patterns</a>.
- * This applies to date type.</li>
- * <li>`timestampFormat` (default `yyyy-MM-dd'T'HH:mm:ss[.SSS][XXX]`): sets
the string that
- * indicates a timestamp format. Custom date formats follow the formats at
- * <a
href="https://spark.apache.org/docs/latest/sql-ref-datetime-pattern.html";>
- * Datetime Patterns</a>.
- * This applies to timestamp type.</li>
- * <li>`multiLine` (default `false`): parse one record, which may span
multiple lines,
- * per file</li>
- * <li>`encoding` (by default it is not set): allows to forcibly set one of
standard basic
- * or extended encoding for the JSON files. For example UTF-16BE, UTF-32LE.
If the encoding
- * is not specified and `multiLine` is set to `true`, it will be detected
automatically.</li>
- * <li>`lineSep` (default covers all `\r`, `\r\n` and `\n`): defines the
line separator
- * that should be used for parsing.</li>
- * <li>`samplingRatio` (default is 1.0): defines fraction of input JSON
objects used
- * for schema inferring.</li>
- * <li>`dropFieldIfAllNull` (default `false`): whether to ignore column of
all null values or
- * empty array/struct during schema inference.</li>
- * <li>`locale` (default is `en-US`): sets a locale as language tag in IETF
BCP 47 format.
- * For instance, this is used while parsing dates and timestamps.</li>
- * <li>`pathGlobFilter`: an optional glob pattern to only include files with
paths matching
- * the pattern. The syntax follows
<code>org.apache.hadoop.fs.GlobFilter</code>.
- * It does not change the behavior of partition discovery.</li>
- * <li>`modifiedBefore` (batch only): an optional timestamp to only include
files with
- * modification times occurring before the specified Time. The provided
timestamp
- * must be in the following form: YYYY-MM-DDTHH:mm:ss (e.g.
2020-06-01T13:00:00)</li>
- * <li>`modifiedAfter` (batch only): an optional timestamp to only include
files with
- * modification times occurring after the specified Time. The provided
timestamp
- * must be in the following form: YYYY-MM-DDTHH:mm:ss (e.g.
2020-06-01T13:00:00)</li>
- * <li>`recursiveFileLookup`: recursively scan a directory for files. Using
this option
- * disables partition discovery</li>
- * <li>`allowNonNumericNumbers` (default `true`): allows JSON parser to
recognize set of
- * "Not-a-Number" (NaN) tokens as legal floating number values:
- * <ul>
- * <li>`+INF` for positive infinity, as well as alias of `+Infinity` and
`Infinity`.
- * <li>`-INF` for negative infinity), alias `-Infinity`.
- * <li>`NaN` for other not-a-numbers, like result of division by zero.
- * </ul>
- * </li>
- * </ul>
+ * You can find the JSON-specific options for reading JSON files in
Review comment:
ditto. It says JSON specific options but it mentions "Generic Files
Source Options"
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