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   $name as String,
   $column as columnIdentifier,
   $boundaries as xs.anyAtomicType[],
   [$collation as String?]
) as NamedColumnGroup


This function can be used as a named group in functions prototype.groupToArrays or prototype.facetBy . After grouping, the plan can also join a literal table with descriptive metadata based for each bucket number. Developers can handle special cases by taking the same approach as the convenience function and binding a new column on the return value of an sql.bucket expression on a numeric or datetime column to use as a grouping key.

$name The name of both the group and the new grouping key column with numbered buckets.
$column The identifier for the existing column with the values (typically numeric or datetime) to put into buckets. The columns can be named with a string or a column parameter function such as op.col or constructed from an expression with op.as.
$boundaries An ordered JavaScript array of values that specify the boundaries between buckets. The values must have the same type as the existing column.
$collation The collation to use when comparing strings as described in 'Collation URI Syntax' in the Application Developer's Guide.

See Also


const op = require('/MarkLogic/optic');

            {'r':1, 'c1':'a', 'c2':'x', 'c3':'m'},
            {'r':2, 'c1':'b', 'c2':'x'          },
            {'r':3, 'c1':'a',           'c3':'n'},
            {'r':4,           'c2':'y', 'c3':'o'},
            {'r':5, 'c1':'b'                    },
            {'r':6,           'c2':'y'          },
            {'r':7,                     'c3':'p'},
            {'r':8, 'c1':'b', 'c2':'x', 'c3':'q'}
    [op.bucketGroup('rBucket', op.col("r"), [2,4])],

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