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Comma-separated value ("CSV") format is a common semi-standard text-based format in which fields are delimited by commas. Spreadsheets and databases are often able to export data in some variant of it. The intention is to read tables in the version of the format spoken by MS Excel amongst other applications, though the documentation on which it was based was not obtained directly from Microsoft.

The rules for data which it understands are as follows:

Note that you can not use a "#" character (or anything else) to introduce "comment" lines.

Because the CSV format contains no metadata beyond column names, the handler is forced to guess the datatype of the values in each column. It does this by reading the whole file through once and guessing on the basis of what it has seen (though see the maxSample configuration option). This has the disadvantages:

This means that CSV is not generally recommended if you can use another format instead. If you're stuck with a large CSV file that's misbehaving or slow to use, one possibility is to turn it into an ECSV file file by adding some header lines by hand.

The handler behaviour may be modified by specifying one or more comma-separated name=value configuration options in parentheses after the handler name, e.g. "csv(header=true,maxSample=100000)". The following options are available:

header = true|false|null
Indicates whether the input CSV file contains the optional one-line header giving column names. Options are: The default value is null (auto-determination). This usually works OK, but can get into trouble if all the columns look like string values.
maxSample = <int>
Controls how many rows of the input file are sampled to determine column datatypes. When reading CSV files, since no type information is present in the input file, the handler has to look at the column data to see what type of value appears to be present in each column, before even starting to read the data in. By default it goes through the whole table when doing this, which can be time-consuming for large tables. If this value is set, it limits the number of rows that are sampled in this data characterisation pass, which can reduce read time substantially. However, if values near the end of the table differ in apparent type from those near the start, it can also result in getting the datatypes wrong.

This format cannot be automatically identified by its content, so in general it is necessary to specify that a table is in CSV format when reading it. However, if the input file has the extension ".csv" (case insensitive) an attempt will be made to read it using this format.

An example looks like this:

1,pig,Pigling Bland,4,0.8,true
6,queen ant,Ma'am,6,0.002,false

See also ECSV as a format which is similar and capable of storing more metadata.

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