doc: add samples for filtering using async apis

samples/snippets/filters/filter_snippets_async.py

@@ -0,0 +1,337 @@
+# Copyright 2024, Google LLC
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import datetime
+from google.cloud.bigtable.data import Row
+from google.cloud._helpers import _datetime_from_microseconds
+
+
+# [START bigtable_filters_limit_row_sample_asyncio]
+async def filter_limit_row_sample(project_id, instance_id, table_id):
+    from google.cloud.bigtable.data import BigtableDataClientAsync, ReadRowsQuery
+    from google.cloud.bigtable.data import row_filters
+
+    query = ReadRowsQuery(row_filter=row_filters.RowSampleFilter(0.75))
+
+    async with BigtableDataClientAsync(project=project_id) as client:
+        async with client.get_table(instance_id, table_id) as table:
+            for row in await table.read_rows(query):
+                print_row(row)
+
+
+# [END bigtable_filters_limit_row_sample_asyncio]
+# [START bigtable_filters_limit_row_regex_asyncio]
+async def filter_limit_row_regex(project_id, instance_id, table_id):
+    from google.cloud.bigtable.data import BigtableDataClientAsync, ReadRowsQuery
+    from google.cloud.bigtable.data import row_filters
+
+    query = ReadRowsQuery(
+        row_filter=row_filters.RowKeyRegexFilter(".*#20190501$".encode("utf-8"))
+    )
+
+    async with BigtableDataClientAsync(project=project_id) as client:
+        async with client.get_table(instance_id, table_id) as table:
+            for row in await table.read_rows(query):
+                print_row(row)
+
+
+# [END bigtable_filters_limit_row_regex_asyncio]
+# [START bigtable_filters_limit_cells_per_col_asyncio]
+async def filter_limit_cells_per_col(project_id, instance_id, table_id):
+    from google.cloud.bigtable.data import BigtableDataClientAsync, ReadRowsQuery
+    from google.cloud.bigtable.data import row_filters
+
+    query = ReadRowsQuery(row_filter=row_filters.CellsColumnLimitFilter(2))
+
+    async with BigtableDataClientAsync(project=project_id) as client:
+        async with client.get_table(instance_id, table_id) as table:
+            for row in await table.read_rows(query):
+                print_row(row)
+
+
+# [END bigtable_filters_limit_cells_per_col_asyncio]
+# [START bigtable_filters_limit_cells_per_row_asyncio]
+async def filter_limit_cells_per_row(project_id, instance_id, table_id):
+    from google.cloud.bigtable.data import BigtableDataClientAsync, ReadRowsQuery
+    from google.cloud.bigtable.data import row_filters
+
+    query = ReadRowsQuery(row_filter=row_filters.CellsRowLimitFilter(2))
+
+    async with BigtableDataClientAsync(project=project_id) as client:
+        async with client.get_table(instance_id, table_id) as table:
+            for row in await table.read_rows(query):
+                print_row(row)
+
+
+# [END bigtable_filters_limit_cells_per_row_asyncio]
+# [START bigtable_filters_limit_cells_per_row_offset_asyncio]
+async def filter_limit_cells_per_row_offset(project_id, instance_id, table_id):
+    from google.cloud.bigtable.data import BigtableDataClientAsync, ReadRowsQuery
+    from google.cloud.bigtable.data import row_filters
+
+    query = ReadRowsQuery(row_filter=row_filters.CellsRowOffsetFilter(2))
+
+    async with BigtableDataClientAsync(project=project_id) as client:
+        async with client.get_table(instance_id, table_id) as table:
+            for row in await table.read_rows(query):
+                print_row(row)
+
+
+# [END bigtable_filters_limit_cells_per_row_offset_asyncio]
+# [START bigtable_filters_limit_col_family_regex_asyncio]
+async def filter_limit_col_family_regex(project_id, instance_id, table_id):
+    from google.cloud.bigtable.data import BigtableDataClientAsync, ReadRowsQuery
+    from google.cloud.bigtable.data import row_filters
+
+    query = ReadRowsQuery(
+        row_filter=row_filters.FamilyNameRegexFilter("stats_.*$".encode("utf-8"))
+    )
+
+    async with BigtableDataClientAsync(project=project_id) as client:
+        async with client.get_table(instance_id, table_id) as table:
+            for row in await table.read_rows(query):
+                print_row(row)
+
+
+# [END bigtable_filters_limit_col_family_regex_asyncio]
+# [START bigtable_filters_limit_col_qualifier_regex_asyncio]
+async def filter_limit_col_qualifier_regex(project_id, instance_id, table_id):
+    from google.cloud.bigtable.data import BigtableDataClientAsync, ReadRowsQuery
+    from google.cloud.bigtable.data import row_filters
+
+    query = ReadRowsQuery(
+        row_filter=row_filters.ColumnQualifierRegexFilter(
+            "connected_.*$".encode("utf-8")
+        )
+    )
+
+    async with BigtableDataClientAsync(project=project_id) as client:
+        async with client.get_table(instance_id, table_id) as table:
+            for row in await table.read_rows(query):
+                print_row(row)
+
+
+# [END bigtable_filters_limit_col_qualifier_regex_asyncio]
+# [START bigtable_filters_limit_col_range_asyncio]
+async def filter_limit_col_range(project_id, instance_id, table_id):
+    from google.cloud.bigtable.data import BigtableDataClientAsync, ReadRowsQuery
+    from google.cloud.bigtable.data import row_filters
+
+    query = ReadRowsQuery(
+        row_filter=row_filters.ColumnRangeFilter(
+            "cell_plan", b"data_plan_01gb", b"data_plan_10gb", inclusive_end=False
+        )
+    )
+
+    async with BigtableDataClientAsync(project=project_id) as client:
+        async with client.get_table(instance_id, table_id) as table:
+            for row in await table.read_rows(query):
+                print_row(row)
+
+
+# [END bigtable_filters_limit_col_range_asyncio]
+# [START bigtable_filters_limit_value_range_asyncio]
+async def filter_limit_value_range(project_id, instance_id, table_id):
+    from google.cloud.bigtable.data import BigtableDataClientAsync, ReadRowsQuery
+    from google.cloud.bigtable.data import row_filters
+
+    query = ReadRowsQuery(
+        row_filter=row_filters.ValueRangeFilter(b"PQ2A.190405", b"PQ2A.190406")
+    )
+
+    async with BigtableDataClientAsync(project=project_id) as client:
+        async with client.get_table(instance_id, table_id) as table:
+            for row in await table.read_rows(query):
+                print_row(row)
+
+
+# [END bigtable_filters_limit_value_range_asyncio]
+# [START bigtable_filters_limit_value_regex_asyncio]
+
+
+async def filter_limit_value_regex(project_id, instance_id, table_id):
+    from google.cloud.bigtable.data import BigtableDataClientAsync, ReadRowsQuery
+    from google.cloud.bigtable.data import row_filters
+
+    query = ReadRowsQuery(
+        row_filter=row_filters.ValueRegexFilter("PQ2A.*$".encode("utf-8"))
+    )
+
+    async with BigtableDataClientAsync(project=project_id) as client:
+        async with client.get_table(instance_id, table_id) as table:
+            for row in await table.read_rows(query):
+                print_row(row)
+
+
+# [END bigtable_filters_limit_value_regex_asyncio]
+# [START bigtable_filters_limit_timestamp_range_asyncio]
+async def filter_limit_timestamp_range(project_id, instance_id, table_id):
+    import datetime
+    from google.cloud.bigtable.data import BigtableDataClientAsync, ReadRowsQuery
+    from google.cloud.bigtable.data import row_filters
+
+    end = datetime.datetime(2019, 5, 1)
+
+    query = ReadRowsQuery(row_filter=row_filters.TimestampRangeFilter(end=end))
+
+    async with BigtableDataClientAsync(project=project_id) as client:
+        async with client.get_table(instance_id, table_id) as table:
+            for row in await table.read_rows(query):
+                print_row(row)
+
+
+# [END bigtable_filters_limit_timestamp_range_asyncio]
+# [START bigtable_filters_limit_block_all_asyncio]
+async def filter_limit_block_all(project_id, instance_id, table_id):
+    from google.cloud.bigtable.data import BigtableDataClientAsync, ReadRowsQuery
+    from google.cloud.bigtable.data import row_filters
+
+    query = ReadRowsQuery(row_filter=row_filters.BlockAllFilter(True))
+
+    async with BigtableDataClientAsync(project=project_id) as client:
+        async with client.get_table(instance_id, table_id) as table:
+            for row in await table.read_rows(query):
+                print_row(row)
+
+
+# [END bigtable_filters_limit_block_all_asyncio]
+# [START bigtable_filters_limit_pass_all_asyncio]
+async def filter_limit_pass_all(project_id, instance_id, table_id):
+    from google.cloud.bigtable.data import BigtableDataClientAsync, ReadRowsQuery
+    from google.cloud.bigtable.data import row_filters
+
+    query = ReadRowsQuery(row_filter=row_filters.PassAllFilter(True))
+
+    async with BigtableDataClientAsync(project=project_id) as client:
+        async with client.get_table(instance_id, table_id) as table:
+            for row in await table.read_rows(query):
+                print_row(row)
+
+
+# [END bigtable_filters_limit_pass_all_asyncio]
+# [START bigtable_filters_modify_strip_value_asyncio]
+async def filter_modify_strip_value(project_id, instance_id, table_id):
+    from google.cloud.bigtable.data import BigtableDataClientAsync, ReadRowsQuery
+    from google.cloud.bigtable.data import row_filters
+
+    query = ReadRowsQuery(row_filter=row_filters.StripValueTransformerFilter(True))
+
+    async with BigtableDataClientAsync(project=project_id) as client:
+        async with client.get_table(instance_id, table_id) as table:
+            for row in await table.read_rows(query):
+                print_row(row)
+
+
+# [END bigtable_filters_modify_strip_value_asyncio]
+# [START bigtable_filters_modify_apply_label_asyncio]
+async def filter_modify_apply_label(project_id, instance_id, table_id):
+    from google.cloud.bigtable.data import BigtableDataClientAsync, ReadRowsQuery
+    from google.cloud.bigtable.data import row_filters
+
+    query = ReadRowsQuery(row_filter=row_filters.ApplyLabelFilter(label="labelled"))
+
+    async with BigtableDataClientAsync(project=project_id) as client:
+        async with client.get_table(instance_id, table_id) as table:
+            for row in await table.read_rows(query):
+                print_row(row)
+
+
+# [END bigtable_filters_modify_apply_label_asyncio]
+# [START bigtable_filters_composing_chain_asyncio]
+async def filter_composing_chain(project_id, instance_id, table_id):
+    from google.cloud.bigtable.data import BigtableDataClientAsync, ReadRowsQuery
+    from google.cloud.bigtable.data import row_filters
+
+    query = ReadRowsQuery(
+        row_filter=row_filters.RowFilterChain(
+            filters=[
+                row_filters.CellsColumnLimitFilter(1),
+                row_filters.FamilyNameRegexFilter("cell_plan"),
+            ]
+        )
+    )
+
+    async with BigtableDataClientAsync(project=project_id) as client:
+        async with client.get_table(instance_id, table_id) as table:
+            for row in await table.read_rows(query):
+                print_row(row)
+
+
+# [END bigtable_filters_composing_chain_asyncio]
+# [START bigtable_filters_composing_interleave_asyncio]
+async def filter_composing_interleave(project_id, instance_id, table_id):
+    from google.cloud.bigtable.data import BigtableDataClientAsync, ReadRowsQuery
+    from google.cloud.bigtable.data import row_filters
+
+    query = ReadRowsQuery(
+        row_filter=row_filters.RowFilterUnion(
+            filters=[
+                row_filters.ValueRegexFilter("true"),
+                row_filters.ColumnQualifierRegexFilter("os_build"),
+            ]
+        )
+    )
+
+    async with BigtableDataClientAsync(project=project_id) as client:
+        async with client.get_table(instance_id, table_id) as table:
+            for row in await table.read_rows(query):
+                print_row(row)
+
+
+# [END bigtable_filters_composing_interleave_asyncio]
+# [START bigtable_filters_composing_condition_asyncio]
+async def filter_composing_condition(project_id, instance_id, table_id):
+    from google.cloud.bigtable.data import BigtableDataClientAsync, ReadRowsQuery
+    from google.cloud.bigtable.data import row_filters
+
+    query = ReadRowsQuery(
+        row_filter=row_filters.ConditionalRowFilter(
+            predicate_filter=row_filters.RowFilterChain(
+                filters=[
+                    row_filters.ColumnQualifierRegexFilter("data_plan_10gb"),
+                    row_filters.ValueRegexFilter("true"),
+                ]
+            ),
+            true_filter=row_filters.ApplyLabelFilter(label="passed-filter"),
+            false_filter=row_filters.ApplyLabelFilter(label="filtered-out"),
+        )
+    )
+
+    async with BigtableDataClientAsync(project=project_id) as client:
+        async with client.get_table(instance_id, table_id) as table:
+            for row in await table.read_rows(query):
+                print_row(row)
+
+
+# [END bigtable_filters_composing_condition_asyncio]
+# [END_EXCLUDE]
+
+
+def print_row(row: Row):
+    print("Reading data for {}:".format(row.row_key.decode("utf-8")))
+    last_family = None
+    for cell in row.cells:
+        if last_family != cell.family:
+            print("Column Family {}".format(cell.family))
+            last_family = cell.family
+
+        labels = " [{}]".format(",".join(cell.labels)) if len(cell.labels) else ""
+        print(
+            "\t{}: {} @{}{}".format(
+                cell.qualifier.decode("utf-8"),
+                cell.value.decode("utf-8"),
+                _datetime_from_microseconds(cell.timestamp_micros),
+                labels,
+            )
+        )
+    print("")