Property NameDefaultMeaningScope sep
delimiter , Sets a separator for each field and value. This separator can be one or more characters. read/write extension csv Sets the file extension for the output files. Limited to letters. Length must equal 3. write encoding
charset UTF-8 For reading, decodes the CSV files by the given encoding type. For writing, specifies encoding (charset) of saved CSV files. CSV built-in functions ignore this option. read/write quote " Sets a single character used for escaping quoted values where the separator can be part of the value. For reading, if you would like to turn off quotations, you need to set not null but an empty string. For writing, if an empty string is set, it uses u0000 (null character). read/write quoteAll false A flag indicating whether all values should always be enclosed in quotes. Default is to only escape values containing a quote character. write escape \ Sets a single character used for escaping quotes inside an already quoted value. read/write escapeQuotes true A flag indicating whether values containing quotes should always be enclosed in quotes. Default is to escape all values containing a quote character. write comment Sets a single character used for skipping lines beginning with this character. By default, it is disabled. read header false For reading, uses the first line as names of columns. For writing, writes the names of columns as the first line. Note that if the given path is a RDD of Strings, this header option will remove all lines same with the header if exists. CSV built-in functions ignore this option. read/write inferSchema false Infers the input schema automatically from data. It requires one extra pass over the data. CSV built-in functions ignore this option. read preferDate true During schema inference (inferSchema), attempts to infer string columns that contain dates as Date if the values satisfy the dateFormat option or default date format. For columns that contain a mixture of dates and timestamps, try inferring them as TimestampType if timestamp format not specified, otherwise infer them as StringType. read enforceSchema true If it is set to true, the specified or inferred schema will be forcibly applied to datasource files, and headers in CSV files will be ignored. If the option is set to false, the schema will be validated against all headers in CSV files in the case when the header option is set to true. Field names in the schema and column names in CSV headers are checked by their positions taking into account spark.sql.caseSensitive. Though the default value is true, it is recommended to disable the enforceSchema option to avoid incorrect results. CSV built-in functions ignore this option. read ignoreLeadingWhiteSpace false (for reading), true (for writing) A flag indicating whether or not leading whitespaces from values being read/written should be skipped. read/write ignoreTrailingWhiteSpace false (for reading), true (for writing) A flag indicating whether or not trailing whitespaces from values being read/written should be skipped. read/write nullValue Sets the string representation of a null value. Since 2.0.1, this nullValue param applies to all supported types including the string type. read/write nanValue NaN Sets the string representation of a non-number value. read positiveInf Inf Sets the string representation of a positive infinity value. read negativeInf -Inf Sets the string representation of a negative infinity value. read dateFormat yyyy-MM-dd Sets the string that indicates a date format. Custom date formats follow the formats at Datetime Patterns. This applies to date type. read/write timestampFormat yyyy-MM-dd'T'HH:mm:ss[.SSS][XXX] Sets the string that indicates a timestamp format. Custom date formats follow the formats at Datetime Patterns. This applies to timestamp type. read/write timestampNTZFormat yyyy-MM-dd'T'HH:mm:ss[.SSS] Sets the string that indicates a timestamp without timezone format. Custom date formats follow the formats at Datetime Patterns. This applies to timestamp without timezone type, note that zone-offset and time-zone components are not supported when writing or reading this data type. read/write enableDateTimeParsingFallback Enabled if the time parser policy has legacy settings or if no custom date or timestamp pattern was provided. Allows falling back to the backward compatible (Spark 1.x and 2.0) behavior of parsing dates and timestamps if values do not match the set patterns. read maxColumns 20480 Defines a hard limit of how many columns a record can have. read maxCharsPerColumn -1 Defines the maximum number of characters allowed for any given value being read. By default, it is -1 meaning unlimited length read mode PERMISSIVE Allows a mode for dealing with corrupt records during parsing. It supports the following case-insensitive modes. Note that Spark tries to parse only required columns in CSV under column pruning. Therefore, corrupt records can be different based on required set of fields. This behavior can be controlled by spark.sql.csv.parser.columnPruning.enabled (enabled by default).

• 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. A record with less/more tokens than schema is not a corrupted record to CSV. When it meets a record having fewer tokens than the length of the schema, sets null to extra fields. When the record has more tokens than the length of the schema, it drops extra tokens.
• DROPMALFORMED: ignores the whole corrupted records. This mode is unsupported in the CSV built-in functions.
• FAILFAST: throws an exception when it meets corrupted records.

read columnNameOfCorruptRecord (value of spark.sql.columnNameOfCorruptRecord configuration) Allows renaming the new field having malformed string created by PERMISSIVE mode. This overrides spark.sql.columnNameOfCorruptRecord. read multiLine false Allows a row to span multiple lines, by parsing line breaks within quoted values as part of the value itself. CSV built-in functions ignore this option. read charToEscapeQuoteEscaping escape or \0 Sets a single character used for escaping the escape for the quote character. The default value is escape character when escape and quote characters are different, \0 otherwise. read/write samplingRatio 1.0 Defines fraction of rows used for schema inferring. CSV built-in functions ignore this option. read emptyValue (for reading), "" (for writing) Sets the string representation of an empty value. read/write locale en-US Sets a locale as language tag in IETF BCP 47 format. For instance, this is used while parsing dates and timestamps. read lineSep \r, \r\n and \n (for reading), \n (for writing) Defines the line separator that should be used for parsing/writing. Maximum length is 1 character. CSV built-in functions ignore this option. read/write unescapedQuoteHandling STOP_AT_DELIMITER Defines how the CsvParser will handle values with unescaped quotes.

• STOP_AT_CLOSING_QUOTE: If unescaped quotes are found in the input, accumulate the quote character and proceed parsing the value as a quoted value, until a closing quote is found.
• BACK_TO_DELIMITER: If unescaped quotes are found in the input, consider the value as an unquoted value. This will make the parser accumulate all characters of the current parsed value until the delimiter is found. If no delimiter is found in the value, the parser will continue accumulating characters from the input until a delimiter or line ending is found.
• STOP_AT_DELIMITER: If unescaped quotes are found in the input, consider the value as an unquoted value. This will make the parser accumulate all characters until the delimiter or a line ending is found in the input.
• SKIP_VALUE: If unescaped quotes are found in the input, the content parsed for the given value will be skipped and the value set in nullValue will be produced instead.
• RAISE_ERROR: If unescaped quotes are found in the input, a TextParsingException will be thrown.

read compression
codec (none) Compression codec to use when saving to file. This can be one of the known case-insensitive shorten names (none, bzip2, gzip, lz4, snappy and deflate). CSV built-in functions ignore this option. write timeZone (value of spark.sql.session.timeZone configuration) Sets the string that indicates a time zone ID to be used to format timestamps in the JSON datasources or partition values. The following formats of timeZone are supported:

• Region-based zone ID: It should have the form 'area/city', such as 'America/Los_Angeles'.
• Zone offset: It should be in the format '(+|-)HH:mm', for example '-08:00' or '+01:00'. Also 'UTC' and 'Z' are supported as aliases of '+00:00'.

Other short names like 'CST' are not recommended to use because they can be ambiguous. read/write