It is possible to use a RowFilter <google.cloud.bigtable.row_filters.RowFilter>
when adding mutations to a ConditionalRow <google.cloud.bigtable.row.ConditionalRow>
and when reading row data with read_row() <google.cloud.bigtable.table.Table.read_row>
or read_rows() <google.cloud.bigtable.table.Table.read_rows>
.
As laid out in the RowFilter definition, the following basic filters are provided:
SinkFilter <.row_filters.SinkFilter>
PassAllFilter <.row_filters.PassAllFilter>
BlockAllFilter <.row_filters.BlockAllFilter>
RowKeyRegexFilter <.row_filters.RowKeyRegexFilter>
RowSampleFilter <.row_filters.RowSampleFilter>
FamilyNameRegexFilter <.row_filters.FamilyNameRegexFilter>
ColumnQualifierRegexFilter <.row_filters.ColumnQualifierRegexFilter>
TimestampRangeFilter <.row_filters.TimestampRangeFilter>
ColumnRangeFilter <.row_filters.ColumnRangeFilter>
ValueRegexFilter <.row_filters.ValueRegexFilter>
ValueRangeFilter <.row_filters.ValueRangeFilter>
CellsRowOffsetFilter <.row_filters.CellsRowOffsetFilter>
CellsRowLimitFilter <.row_filters.CellsRowLimitFilter>
CellsColumnLimitFilter <.row_filters.CellsColumnLimitFilter>
StripValueTransformerFilter <.row_filters.StripValueTransformerFilter>
ApplyLabelFilter <.row_filters.ApplyLabelFilter>
In addition, these filters can be combined into composite filters with
RowFilterChain <.row_filters.RowFilterChain>
RowFilterUnion <.row_filters.RowFilterUnion>
ConditionalRowFilter <.row_filters.ConditionalRowFilter>
These rules can be nested arbitrarily, with a basic filter at the lowest level. For example:
# Filter in a specified column (matching any column family).
col1_filter = ColumnQualifierRegexFilter(b'columnbia')
# Create a filter to label results.
label1 = u'label-red'
label1_filter = ApplyLabelFilter(label1)
# Combine the filters to label all the cells in columnbia.
chain1 = RowFilterChain(filters=[col1_filter, label1_filter])
# Create a similar filter to label cells blue.
col2_filter = ColumnQualifierRegexFilter(b'columnseeya')
label2 = u'label-blue'
label2_filter = ApplyLabelFilter(label2)
chain2 = RowFilterChain(filters=[col2_filter, label2_filter])
# Bring our two labeled columns together.
row_filter = RowFilterUnion(filters=[chain1, chain2])
google.cloud.bigtable.row_filters