Module row (2.3.3)

User-friendly container for Google Cloud Bigtable Row.

Google Cloud Bigtable Row for sending append mutations.

These mutations are intended to augment the value of an existing cell and uses the methods:

• append_cell_value
• increment_cell_value

The first works by appending bytes and the second by incrementing an integer (stored in the cell as 8 bytes). In either case, if the cell is empty, assumes the default empty value (empty string for bytes or 0 for integer).

Google Cloud Bigtable Row for sending mutations conditionally.

Each mutation has an associated state: :data:True or :data:False. When commit-ed, the mutations for the :data:True state will be applied if the filter matches any cells in the row, otherwise the :data:False state will be applied.

A ConditionalRow accumulates mutations in the same way a DirectRow does:

• set_cell
• delete
• delete_cell
• delete_cells

with the only change the extra state parameter::

row_cond = table.row(b'row-key2', filter_=row_filter) row_cond.set_cell(u'fam', b'col', b'cell-val', state=True) row_cond.delete_cell(u'fam', b'col', state=False)

Google Cloud Bigtable Row for sending "direct" mutations.

These mutations directly set or delete cell contents:

• set_cell
• delete
• delete_cell
• delete_cells

These methods can be used directly::

row = table.row(b'row-key1') row.set_cell(u'fam', b'col1', b'cell-val') row.delete_cell(u'fam', b'col2')

Base representation of a Google Cloud Bigtable Row.

This class has three subclasses corresponding to the three RPC methods for sending row mutations:

• DirectRow for MutateRow
• ConditionalRow for CheckAndMutateRow
• AppendRow for ReadModifyWriteRow