site/docs/4.1.0-preview1/generated-generator-funcs-table.html

<table class="table">
  <thead>
    <tr>
      <th style="width:25%">Function</th>
      <th>Description</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <td>collations()</td>
      <td>Get all of the Spark SQL string collations</td>
    </tr>
    <tr>
      <td>explode(expr)</td>
      <td>Separates the elements of array `expr` into multiple rows, or the elements of map `expr` into multiple rows and columns. Unless specified otherwise, uses the default column name `col` for elements of the array or `key` and `value` for the elements of the map.</td>
    </tr>
    <tr>
      <td>explode_outer(expr)</td>
      <td>Separates the elements of array `expr` into multiple rows, or the elements of map `expr` into multiple rows and columns. Unless specified otherwise, uses the default column name `col` for elements of the array or `key` and `value` for the elements of the map.</td>
    </tr>
    <tr>
      <td>inline(expr)</td>
      <td>Explodes an array of structs into a table. Uses column names col1, col2, etc. by default unless specified otherwise.</td>
    </tr>
    <tr>
      <td>inline_outer(expr)</td>
      <td>Explodes an array of structs into a table. Uses column names col1, col2, etc. by default unless specified otherwise.</td>
    </tr>
    <tr>
      <td>posexplode(expr)</td>
      <td>Separates the elements of array `expr` into multiple rows with positions, or the elements of map `expr` into multiple rows and columns with positions. Unless specified otherwise, uses the column name `pos` for position, `col` for elements of the array or `key` and `value` for elements of the map.</td>
    </tr>
    <tr>
      <td>posexplode_outer(expr)</td>
      <td>Separates the elements of array `expr` into multiple rows with positions, or the elements of map `expr` into multiple rows and columns with positions. Unless specified otherwise, uses the column name `pos` for position, `col` for elements of the array or `key` and `value` for elements of the map.</td>
    </tr>
    <tr>
      <td>sql_keywords()</td>
      <td>Get Spark SQL keywords</td>
    </tr>
    <tr>
      <td>stack(n, expr1, ..., exprk)</td>
      <td>Separates `expr1`, ..., `exprk` into `n` rows. Uses column names col0, col1, etc. by default unless specified otherwise.</td>
    </tr>
  </tbody>
</table>