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| <div class="page-header"> |
| <h1>Read a CSV or other delimited file with Arrow</h1> |
| <small class="dont-index">Source: <a href='https://github.com/apache/arrow/blob/master/r/R/csv.R'><code>R/csv.R</code></a></small> |
| <div class="hidden name"><code>read_delim_arrow.Rd</code></div> |
| </div> |
| |
| <div class="ref-description"> |
| <p>These functions uses the Arrow C++ CSV reader to read into a <code>data.frame</code>. |
| Arrow C++ options have been mapped to argument names that follow those of |
| <code>readr::read_delim()</code>, and <code>col_select</code> was inspired by <code>vroom::vroom()</code>.</p> |
| </div> |
| |
| <pre class="usage"><span class='fu'>read_delim_arrow</span><span class='op'>(</span> |
| <span class='va'>file</span>, |
| delim <span class='op'>=</span> <span class='st'>","</span>, |
| quote <span class='op'>=</span> <span class='st'>"\""</span>, |
| escape_double <span class='op'>=</span> <span class='cn'>TRUE</span>, |
| escape_backslash <span class='op'>=</span> <span class='cn'>FALSE</span>, |
| schema <span class='op'>=</span> <span class='cn'>NULL</span>, |
| col_names <span class='op'>=</span> <span class='cn'>TRUE</span>, |
| col_types <span class='op'>=</span> <span class='cn'>NULL</span>, |
| col_select <span class='op'>=</span> <span class='cn'>NULL</span>, |
| na <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>""</span>, <span class='st'>"NA"</span><span class='op'>)</span>, |
| quoted_na <span class='op'>=</span> <span class='cn'>TRUE</span>, |
| skip_empty_rows <span class='op'>=</span> <span class='cn'>TRUE</span>, |
| skip <span class='op'>=</span> <span class='fl'>0L</span>, |
| parse_options <span class='op'>=</span> <span class='cn'>NULL</span>, |
| convert_options <span class='op'>=</span> <span class='cn'>NULL</span>, |
| read_options <span class='op'>=</span> <span class='cn'>NULL</span>, |
| as_data_frame <span class='op'>=</span> <span class='cn'>TRUE</span>, |
| timestamp_parsers <span class='op'>=</span> <span class='cn'>NULL</span> |
| <span class='op'>)</span> |
| |
| <span class='fu'>read_csv_arrow</span><span class='op'>(</span> |
| <span class='va'>file</span>, |
| quote <span class='op'>=</span> <span class='st'>"\""</span>, |
| escape_double <span class='op'>=</span> <span class='cn'>TRUE</span>, |
| escape_backslash <span class='op'>=</span> <span class='cn'>FALSE</span>, |
| schema <span class='op'>=</span> <span class='cn'>NULL</span>, |
| col_names <span class='op'>=</span> <span class='cn'>TRUE</span>, |
| col_types <span class='op'>=</span> <span class='cn'>NULL</span>, |
| col_select <span class='op'>=</span> <span class='cn'>NULL</span>, |
| na <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>""</span>, <span class='st'>"NA"</span><span class='op'>)</span>, |
| quoted_na <span class='op'>=</span> <span class='cn'>TRUE</span>, |
| skip_empty_rows <span class='op'>=</span> <span class='cn'>TRUE</span>, |
| skip <span class='op'>=</span> <span class='fl'>0L</span>, |
| parse_options <span class='op'>=</span> <span class='cn'>NULL</span>, |
| convert_options <span class='op'>=</span> <span class='cn'>NULL</span>, |
| read_options <span class='op'>=</span> <span class='cn'>NULL</span>, |
| as_data_frame <span class='op'>=</span> <span class='cn'>TRUE</span>, |
| timestamp_parsers <span class='op'>=</span> <span class='cn'>NULL</span> |
| <span class='op'>)</span> |
| |
| <span class='fu'>read_tsv_arrow</span><span class='op'>(</span> |
| <span class='va'>file</span>, |
| quote <span class='op'>=</span> <span class='st'>"\""</span>, |
| escape_double <span class='op'>=</span> <span class='cn'>TRUE</span>, |
| escape_backslash <span class='op'>=</span> <span class='cn'>FALSE</span>, |
| schema <span class='op'>=</span> <span class='cn'>NULL</span>, |
| col_names <span class='op'>=</span> <span class='cn'>TRUE</span>, |
| col_types <span class='op'>=</span> <span class='cn'>NULL</span>, |
| col_select <span class='op'>=</span> <span class='cn'>NULL</span>, |
| na <span class='op'>=</span> <span class='fu'><a href='https://rdrr.io/r/base/c.html'>c</a></span><span class='op'>(</span><span class='st'>""</span>, <span class='st'>"NA"</span><span class='op'>)</span>, |
| quoted_na <span class='op'>=</span> <span class='cn'>TRUE</span>, |
| skip_empty_rows <span class='op'>=</span> <span class='cn'>TRUE</span>, |
| skip <span class='op'>=</span> <span class='fl'>0L</span>, |
| parse_options <span class='op'>=</span> <span class='cn'>NULL</span>, |
| convert_options <span class='op'>=</span> <span class='cn'>NULL</span>, |
| read_options <span class='op'>=</span> <span class='cn'>NULL</span>, |
| as_data_frame <span class='op'>=</span> <span class='cn'>TRUE</span>, |
| timestamp_parsers <span class='op'>=</span> <span class='cn'>NULL</span> |
| <span class='op'>)</span></pre> |
| |
| <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2> |
| <table class="ref-arguments"> |
| <colgroup><col class="name" /><col class="desc" /></colgroup> |
| <tr> |
| <th>file</th> |
| <td><p>A character file name or URI, <code>raw</code> vector, an Arrow input stream, |
| or a <code>FileSystem</code> with path (<code>SubTreeFileSystem</code>). |
| If a file name, a memory-mapped Arrow <a href='InputStream.html'>InputStream</a> will be opened and |
| closed when finished; compression will be detected from the file extension |
| and handled automatically. If an input stream is provided, it will be left |
| open.</p></td> |
| </tr> |
| <tr> |
| <th>delim</th> |
| <td><p>Single character used to separate fields within a record.</p></td> |
| </tr> |
| <tr> |
| <th>quote</th> |
| <td><p>Single character used to quote strings.</p></td> |
| </tr> |
| <tr> |
| <th>escape_double</th> |
| <td><p>Does the file escape quotes by doubling them? |
| i.e. If this option is <code>TRUE</code>, the value <code>""""</code> represents |
| a single quote, <code>\"</code>.</p></td> |
| </tr> |
| <tr> |
| <th>escape_backslash</th> |
| <td><p>Does the file use backslashes to escape special |
| characters? This is more general than <code>escape_double</code> as backslashes |
| can be used to escape the delimiter character, the quote character, or |
| to add special characters like <code>\\n</code>.</p></td> |
| </tr> |
| <tr> |
| <th>schema</th> |
| <td><p><a href='Schema.html'>Schema</a> that describes the table. If provided, it will be |
| used to satisfy both <code>col_names</code> and <code>col_types</code>.</p></td> |
| </tr> |
| <tr> |
| <th>col_names</th> |
| <td><p>If <code>TRUE</code>, the first row of the input will be used as the |
| column names and will not be included in the data frame. If <code>FALSE</code>, column |
| names will be generated by Arrow, starting with "f0", "f1", ..., "fN". |
| Alternatively, you can specify a character vector of column names.</p></td> |
| </tr> |
| <tr> |
| <th>col_types</th> |
| <td><p>A compact string representation of the column types, or |
| <code>NULL</code> (the default) to infer types from the data.</p></td> |
| </tr> |
| <tr> |
| <th>col_select</th> |
| <td><p>A character vector of column names to keep, as in the |
| "select" argument to <code>data.table::fread()</code>, or a |
| <a href='https://tidyselect.r-lib.org/reference/vars_select.html'>tidy selection specification</a> |
| of columns, as used in <code><a href='https://dplyr.tidyverse.org/reference/select.html'>dplyr::select()</a></code>.</p></td> |
| </tr> |
| <tr> |
| <th>na</th> |
| <td><p>A character vector of strings to interpret as missing values.</p></td> |
| </tr> |
| <tr> |
| <th>quoted_na</th> |
| <td><p>Should missing values inside quotes be treated as missing |
| values (the default) or strings. (Note that this is different from the |
| the Arrow C++ default for the corresponding convert option, |
| <code>strings_can_be_null</code>.)</p></td> |
| </tr> |
| <tr> |
| <th>skip_empty_rows</th> |
| <td><p>Should blank rows be ignored altogether? If |
| <code>TRUE</code>, blank rows will not be represented at all. If <code>FALSE</code>, they will be |
| filled with missings.</p></td> |
| </tr> |
| <tr> |
| <th>skip</th> |
| <td><p>Number of lines to skip before reading data.</p></td> |
| </tr> |
| <tr> |
| <th>parse_options</th> |
| <td><p>see <a href='CsvReadOptions.html'>file reader options</a>. |
| If given, this overrides any |
| parsing options provided in other arguments (e.g. <code>delim</code>, <code>quote</code>, etc.).</p></td> |
| </tr> |
| <tr> |
| <th>convert_options</th> |
| <td><p>see <a href='CsvReadOptions.html'>file reader options</a></p></td> |
| </tr> |
| <tr> |
| <th>read_options</th> |
| <td><p>see <a href='CsvReadOptions.html'>file reader options</a></p></td> |
| </tr> |
| <tr> |
| <th>as_data_frame</th> |
| <td><p>Should the function return a <code>data.frame</code> (default) or |
| an Arrow <a href='Table.html'>Table</a>?</p></td> |
| </tr> |
| <tr> |
| <th>timestamp_parsers</th> |
| <td><p>User-defined timestamp parsers. If more than one |
| parser is specified, the CSV conversion logic will try parsing values |
| starting from the beginning of this vector. Possible values are:</p><ul> |
| <li><p><code>NULL</code>: the default, which uses the ISO-8601 parser</p></li> |
| <li><p>a character vector of <a href='https://rdrr.io/r/base/strptime.html'>strptime</a> parse strings</p></li> |
| <li><p>a list of <a href='CsvReadOptions.html'>TimestampParser</a> objects</p></li> |
| </ul></td> |
| </tr> |
| </table> |
| |
| <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2> |
| |
| <p>A <code>data.frame</code>, or a Table if <code>as_data_frame = FALSE</code>.</p> |
| <h2 class="hasAnchor" id="details"><a class="anchor" href="#details"></a>Details</h2> |
| |
| <p><code>read_csv_arrow()</code> and <code>read_tsv_arrow()</code> are wrappers around |
| <code>read_delim_arrow()</code> that specify a delimiter.</p> |
| <p>Note that not all <code>readr</code> options are currently implemented here. Please file |
| an issue if you encounter one that <code>arrow</code> should support.</p> |
| <p>If you need to control Arrow-specific reader parameters that don't have an |
| equivalent in <code>readr::read_csv()</code>, you can either provide them in the |
| <code>parse_options</code>, <code>convert_options</code>, or <code>read_options</code> arguments, or you can |
| use <a href='CsvTableReader.html'>CsvTableReader</a> directly for lower-level access.</p> |
| <h2 class="hasAnchor" id="specifying-column-types-and-names"><a class="anchor" href="#specifying-column-types-and-names"></a>Specifying column types and names</h2> |
| |
| |
| |
| |
| <p>By default, the CSV reader will infer the column names and data types from the file, but there |
| are a few ways you can specify them directly.</p> |
| <p>One way is to provide an Arrow <a href='Schema.html'>Schema</a> in the <code>schema</code> argument, |
| which is an ordered map of column name to type. |
| When provided, it satisfies both the <code>col_names</code> and <code>col_types</code> arguments. |
| This is good if you know all of this information up front.</p> |
| <p>You can also pass a <code>Schema</code> to the <code>col_types</code> argument. If you do this, |
| column names will still be inferred from the file unless you also specify |
| <code>col_names</code>. In either case, the column names in the <code>Schema</code> must match the |
| data's column names, whether they are explicitly provided or inferred. That |
| said, this <code>Schema</code> does not have to reference all columns: those omitted |
| will have their types inferred.</p> |
| <p>Alternatively, you can declare column types by providing the compact string representation |
| that <code>readr</code> uses to the <code>col_types</code> argument. This means you provide a |
| single string, one character per column, where the characters map to Arrow |
| types analogously to the <code>readr</code> type mapping:</p><ul> |
| <li><p>"c": <code><a href='data-type.html'>utf8()</a></code></p></li> |
| <li><p>"i": <code><a href='data-type.html'>int32()</a></code></p></li> |
| <li><p>"n": <code><a href='data-type.html'>float64()</a></code></p></li> |
| <li><p>"d": <code><a href='data-type.html'>float64()</a></code></p></li> |
| <li><p>"l": <code><a href='data-type.html'>bool()</a></code></p></li> |
| <li><p>"f": <code><a href='dictionary.html'>dictionary()</a></code></p></li> |
| <li><p>"D": <code><a href='data-type.html'>date32()</a></code></p></li> |
| <li><p>"T": <code><a href='data-type.html'>time32()</a></code></p></li> |
| <li><p>"t": <code><a href='data-type.html'>timestamp()</a></code></p></li> |
| <li><p>"_": <code><a href='data-type.html'>null()</a></code></p></li> |
| <li><p>"-": <code><a href='data-type.html'>null()</a></code></p></li> |
| <li><p>"?": infer the type from the data</p></li> |
| </ul> |
| |
| <p>If you use the compact string representation for <code>col_types</code>, you must also |
| specify <code>col_names</code>.</p> |
| <p>Regardless of how types are specified, all columns with a <code><a href='data-type.html'>null()</a></code> type will |
| be dropped.</p> |
| <p>Note that if you are specifying column names, whether by <code>schema</code> or |
| <code>col_names</code>, and the CSV file has a header row that would otherwise be used |
| to idenfity column names, you'll need to add <code>skip = 1</code> to skip that row.</p> |
| |
| <h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2> |
| <pre class="examples"><div class='input'><span class='co'># \donttest{</span> |
| <span class='va'>tf</span> <span class='op'><-</span> <span class='fu'><a href='https://rdrr.io/r/base/tempfile.html'>tempfile</a></span><span class='op'>(</span><span class='op'>)</span> |
| <span class='fu'><a href='https://rdrr.io/r/base/on.exit.html'>on.exit</a></span><span class='op'>(</span><span class='fu'><a href='https://rdrr.io/r/base/unlink.html'>unlink</a></span><span class='op'>(</span><span class='va'>tf</span><span class='op'>)</span><span class='op'>)</span> |
| <span class='fu'><a href='https://rdrr.io/r/utils/write.table.html'>write.csv</a></span><span class='op'>(</span><span class='va'>mtcars</span>, file <span class='op'>=</span> <span class='va'>tf</span><span class='op'>)</span> |
| <span class='va'>df</span> <span class='op'><-</span> <span class='fu'>read_csv_arrow</span><span class='op'>(</span><span class='va'>tf</span><span class='op'>)</span> |
| <span class='fu'><a href='https://rdrr.io/r/base/dim.html'>dim</a></span><span class='op'>(</span><span class='va'>df</span><span class='op'>)</span> |
| </div><div class='output co'>#> [1] 32 12</div><div class='input'> <span class='co'># Can select columns</span> |
| <span class='va'>df</span> <span class='op'><-</span> <span class='fu'>read_csv_arrow</span><span class='op'>(</span><span class='va'>tf</span>, col_select <span class='op'>=</span> <span class='fu'><a href='https://tidyselect.r-lib.org/reference/starts_with.html'>starts_with</a></span><span class='op'>(</span><span class='st'>"d"</span><span class='op'>)</span><span class='op'>)</span> |
| <span class='co'># }</span> |
| </div></pre> |
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