Class ReadRowsQuery (2.26.0)

ReadRowsQuery(
    row_keys: typing.Optional[typing.Union[list[str | bytes], str, bytes]] = None,
    row_ranges: typing.Optional[
        typing.Union[
            list[google.cloud.bigtable.data.read_rows_query.RowRange],
            google.cloud.bigtable.data.read_rows_query.RowRange,
        ]
    ] = None,
    limit: typing.Optional[int] = None,
    row_filter: typing.Optional[
        google.cloud.bigtable.data.row_filters.RowFilter
    ] = None,
)

Class to encapsulate details of a read row request

Properties

filter

Return the RowFilter applied to this query

Returns
Type	Description
`RowFilter None`	the RowFilter applied to this query

limit

Return the maximum number of rows to return by this query

None or 0 means no limit

Returns
Type	Description
`int None`	the maximum number of rows to return by this query

row_keys

Return the row keys in this query

Returns
Type	Description
`list[bytes]`	the row keys in this query

row_ranges

Return the row ranges in this query

Returns
Type	Description
`list[RowRange]`	the row ranges in this query

Methods

eq

__eq__(other)

RowRanges are equal if they have the same row keys, row ranges, filter and limit, or if they both represent a full scan with the same filter and limit

Returns
Type	Description
`bool`	True if the objects are equal, False otherwise

add_key

add_key(row_key: str | bytes)

Add a row key to this query

A query can contain multiple keys, but ranges should be preferred

Exceptions
Type	Description
`ValueError`	if an input is not a string or bytes

add_range

add_range(row_range: google.cloud.bigtable.data.read_rows_query.RowRange)

Add a range of row keys to this query.

shard

shard(shard_keys: RowKeySamples) -> ShardedQuery

Split this query into multiple queries that can be evenly distributed across nodes and run in parallel

Exceptions
Type	Description
`AttributeError`	if the query contains a limit

Returns
Type	Description
`ShardedQuery`	a ShardedQuery that can be used in sharded_read_rows calls