From 16cb0c82e96e3c9967d84c1bf91f0eaf1d6b1705 Mon Sep 17 00:00:00 2001 From: Matt Hammerly Date: Wed, 22 Jul 2026 17:31:58 -0700 Subject: [PATCH] feat(bigquery): support fetching bigtable shard boundaries --- py/mypy.ini | 9 + py/pyproject.toml | 8 +- py/requirements-test.txt | 1 + py/tests/test_bigquery_fetcher.py | 186 ++++++++- py/tests/test_bigtable_sharding.py | 142 +++++++ py/usageaccountant/bigquery_fetcher.py | 142 ++++++- py/usageaccountant/bigtable_sharding.py | 192 +++++++++ py/usageaccountant/query_sharding.py | 53 +++ py/uv.lock | 504 +++++++++++++++++++++++- 9 files changed, 1225 insertions(+), 12 deletions(-) create mode 100644 py/tests/test_bigtable_sharding.py create mode 100644 py/usageaccountant/bigtable_sharding.py create mode 100644 py/usageaccountant/query_sharding.py diff --git a/py/mypy.ini b/py/mypy.ini index 38b9679..e84a159 100644 --- a/py/mypy.ini +++ b/py/mypy.ini @@ -1,2 +1,11 @@ [mypy] python_version = 3.13 + +# google-cloud-bigtable is only imported lazily by the bigtable_sharding +# row-key sampler and is not installed in the type-check env, so let mypy treat +# it as untyped rather than failing to resolve the import. +[mypy-google.cloud.bigtable] +ignore_missing_imports = True + +[mypy-google.cloud.bigtable.*] +ignore_missing_imports = True diff --git a/py/pyproject.toml b/py/pyproject.toml index fb01ee9..6278d71 100644 --- a/py/pyproject.toml +++ b/py/pyproject.toml @@ -17,8 +17,12 @@ dependencies = [ ] [project.optional-dependencies] -# Only needed for the `bigquery_fetcher` entrypoint -bigquery = ['google-cloud-bigquery>=3.0.0'] +# Only needed for the `bigquery_fetcher` entrypoint. google-cloud-bigtable +# backs the SampleRowKeys row-key sharding for Bigtable-backed queries. +bigquery = [ + 'google-cloud-bigquery>=3.0.0', + 'google-cloud-bigtable>=2.0.0', +] [tool.setuptools.package-data] usageaccountant = ["py.typed"] diff --git a/py/requirements-test.txt b/py/requirements-test.txt index b114940..7888e64 100644 --- a/py/requirements-test.txt +++ b/py/requirements-test.txt @@ -2,5 +2,6 @@ sentry-arroyo>=2.22.0 pytest>=7.2.1 mypy>=1.4.1 google-cloud-bigquery>=3.0.0 +google-cloud-bigtable>=2.41.0 black>=24.10.0 flake8>=6 diff --git a/py/tests/test_bigquery_fetcher.py b/py/tests/test_bigquery_fetcher.py index fbcbed5..59e317e 100644 --- a/py/tests/test_bigquery_fetcher.py +++ b/py/tests/test_bigquery_fetcher.py @@ -1,8 +1,8 @@ import unittest from datetime import date, datetime, timezone from io import StringIO -from json import loads -from typing import Any, Iterable, List, Mapping, cast +from json import dumps, loads +from typing import Any, Iterable, List, Mapping, Sequence, cast from unittest.mock import Mock from arroyo.backends.kafka.consumer import KafkaPayload @@ -16,6 +16,7 @@ from usageaccountant import bigquery_fetcher as bqf from usageaccountant.accumulator import UsageUnit from usageaccountant.fetcher_utils import UsageAccumulatorRecord +from usageaccountant.query_sharding import QuerySharder, ShardedQuery # A day-aligned epoch (2026-06-11 00:00:00 GMT). INVENTORY_TS = 1781136000 @@ -30,6 +31,43 @@ def query(self, query: str) -> Mock: return Mock(result=result_fn) +class ShardedMockBQ: + """ + Returns one preset batch of rows per successive ``query`` call and records + the (query, parameters) of each call for assertions. + """ + + def __init__(self, batches: Sequence[List[Mapping[str, Any]]]): + self.batches = list(batches) + self.calls: List[Any] = [] + + def query(self, query: str, job_config: Any = None) -> Mock: + params = list(job_config.query_parameters) if job_config else [] + self.calls.append((query, params)) + rows = self.batches.pop(0) + return Mock(result=Mock(return_value=rows)) + + +class FakeSharder(QuerySharder): + """ + A backend-agnostic sharder returning preset shard queries, so the fetcher's + orchestration can be tested without any real sharding backend. + """ + + def __init__(self, shard_queries: List[ShardedQuery]) -> None: + self.shard_queries = shard_queries + + def validate_config( + self, shard_config: Mapping[str, Any], query: str + ) -> None: + pass + + def build_shard_queries( + self, query: str, shard_config: Mapping[str, Any] + ) -> List[ShardedQuery]: + return self.shard_queries + + class TestBigQueryFetcher(unittest.TestCase): query_str = ( '[{"query": "SELECT app_feature, amount FROM t", ' @@ -210,3 +248,147 @@ def test_main_dry_run(self) -> None: ) # Nothing is produced in dry-run mode. assert self.broker.consume(Partition(self.topic, 0), 0) is None + + # --- Section: Bigtable row-key sharding --- + + shard_query = ( + "SELECT app_feature, amount FROM t " + "WHERE TRUE {shard_predicate} GROUP BY app_feature" + ) + + def shard_query_file(self) -> str: + return dumps( + [ + { + "query": self.shard_query, + "unit": "bytes", + "shared_resource_id": "bigtable_objectstore", + "bigtable_shard": { + "instance": "objectstore", + "table": "objectstore", + }, + } + ] + ) + + def test_parse_shard_ok(self) -> None: + assert bqf.parse_and_assert_query_file( + StringIO(self.shard_query_file()) + ) + + def test_parse_shard_invalid_delegates(self) -> None: + # bigtable_shard validation is delegated to bigtable_sharding; a + # config missing a required key must still fail the parse. + query_file = dumps( + [ + { + "query": self.shard_query, + "unit": "bytes", + "shared_resource_id": "x", + "bigtable_shard": {"table": "objectstore"}, + } + ] + ) + with self.assertRaises(AssertionError): + bqf.parse_and_assert_query_file(StringIO(query_file)) + + def test_aggregate_records_sums_across_shards(self) -> None: + records = [ + UsageAccumulatorRecord( + "bigtable_objectstore", "attachments", 10, UsageUnit.BYTES, 7 + ), + UsageAccumulatorRecord( + "bigtable_objectstore", "attachments", 20, UsageUnit.BYTES, 7 + ), + UsageAccumulatorRecord( + "bigtable_objectstore", "profiles", 5, UsageUnit.BYTES, 7 + ), + ] + aggregated = bqf.aggregate_records(records) + by_feature = {r.app_feature: r.amount for r in aggregated} + assert by_feature == {"attachments": 30, "profiles": 5} + + def test_run_sharded_query_runs_each_shard(self) -> None: + # run_sharded_query is backend-agnostic: it runs each ShardedQuery the + # sharder hands it (sql + parameters) and concatenates the rows. + shards = [ + ShardedQuery("SELECT shard_a", [], "[None, 'g')"), + ShardedQuery( + "SELECT shard_b", + [ + bigquery.ScalarQueryParameter( + "shard_start", "STRING", "g" + ), + bigquery.ScalarQueryParameter("shard_end", "STRING", "m"), + ], + "['g', 'm')", + ), + ShardedQuery("SELECT shard_c", [], "['m', None)"), + ] + client = ShardedMockBQ( + [ + [{"app_feature": "a", "amount": 1}], + [{"app_feature": "a", "amount": 2}], + [{"app_feature": "b", "amount": 3}], + ] + ) + rows = list( + bqf.run_sharded_query( + cast(bigquery.Client, client), + "unused", + {"any": "config"}, + FakeSharder(shards), + ) + ) + assert rows == [ + {"app_feature": "a", "amount": 1}, + {"app_feature": "a", "amount": 2}, + {"app_feature": "b", "amount": 3}, + ] + # Each shard's sql and parameters reach the client, in order. + assert [query for query, _ in client.calls] == [ + "SELECT shard_a", + "SELECT shard_b", + "SELECT shard_c", + ] + assert [(p.name, p.value) for p in client.calls[1][1]] == [ + ("shard_start", "g"), + ("shard_end", "m"), + ] + + def test_main_sharded_aggregates_and_produces(self) -> None: + client = ShardedMockBQ( + [ + [{"app_feature": "attachments", "amount": "10"}], + # attachments straddles a shard boundary. + [{"app_feature": "attachments", "amount": "20"}], + [{"app_feature": "profiles", "amount": "5"}], + ] + ) + shards = [ + ShardedQuery(f"SELECT shard_{i}", [], f"shard {i}") + for i in range(3) + ] + bqf.main( + query_file=StringIO(self.shard_query_file()), + usage_accumulator=self.usage_accumulator, + bq_client=cast(bigquery.Client, client), + dry_run=False, + sharders={"bigtable_shard": FakeSharder(shards)}, + ) + + by_feature = {} + index = 0 + while True: + msg = self.broker.consume(Partition(self.topic, 0), index) + if msg is None: + break + payload = loads(msg.payload.value.decode("utf-8")) + by_feature[payload["app_feature"]] = payload + index += 1 + + assert by_feature["attachments"]["amount"] == 30 + assert by_feature["attachments"]["shared_resource_id"] == ( + "bigtable_objectstore" + ) + assert by_feature["profiles"]["amount"] == 5 diff --git a/py/tests/test_bigtable_sharding.py b/py/tests/test_bigtable_sharding.py new file mode 100644 index 0000000..3547904 --- /dev/null +++ b/py/tests/test_bigtable_sharding.py @@ -0,0 +1,142 @@ +import unittest +from typing import Any, Mapping, Sequence + +from usageaccountant import bigtable_sharding as bts +from usageaccountant.bigtable_sharding import BigtableQuerySharder + +# A shardable query: the placeholder sits in a ``WHERE TRUE`` context so the +# single-shard (empty predicate) case is still valid SQL. +SHARD_QUERY = ( + "SELECT app_feature, amount FROM t " + "WHERE TRUE {shard_predicate} GROUP BY app_feature" +) + + +def sampler_gm(_config: Mapping[str, Any]) -> Sequence[bytes]: + """Two interior boundaries -> three shards.""" + return [b"g", b"m"] + + +class TestValidateConfig(unittest.TestCase): + def test_ok(self) -> None: + BigtableQuerySharder().validate_config( + {"instance": "objectstore", "table": "objectstore"}, SHARD_QUERY + ) + + def test_missing_instance(self) -> None: + with self.assertRaises(AssertionError): + BigtableQuerySharder().validate_config( + {"table": "objectstore"}, SHARD_QUERY + ) + + def test_missing_table(self) -> None: + with self.assertRaises(AssertionError): + BigtableQuerySharder().validate_config( + {"instance": "objectstore"}, SHARD_QUERY + ) + + def test_missing_placeholder(self) -> None: + with self.assertRaises(AssertionError): + BigtableQuerySharder().validate_config( + {"instance": "objectstore", "table": "objectstore"}, + "SELECT app_feature, amount FROM t", + ) + + +class TestShardRangesFromSamples(unittest.TestCase): + def test_empty(self) -> None: + assert bts.shard_ranges_from_samples([]) == [(None, None)] + + def test_only_end_sentinel(self) -> None: + # The trailing empty key marks end-of-table, not a usable boundary. + assert bts.shard_ranges_from_samples([b""]) == [(None, None)] + + def test_basic_sorted_and_bounded(self) -> None: + # Unsorted input, with the end sentinel, yields sorted half-open + # ranges spanning (None -> ... -> None). + assert bts.shard_ranges_from_samples([b"m", b"g", b""]) == [ + (None, "g"), + ("g", "m"), + ("m", None), + ] + + def test_dedup(self) -> None: + assert bts.shard_ranges_from_samples([b"g", b"g", b"m"]) == [ + (None, "g"), + ("g", "m"), + ("m", None), + ] + + def test_skips_non_utf8(self) -> None: + # A non-UTF-8 boundary is dropped (merging its two shards). + assert bts.shard_ranges_from_samples([b"\xff\xfe", b"m"]) == [ + (None, "m"), + ("m", None), + ] + + +class TestBuildShardClause(unittest.TestCase): + def test_both_bounds(self) -> None: + clause, params = bts.build_shard_clause("g", "m", "rowkey") + assert clause == ( + " AND rowkey >= @shard_start AND rowkey < @shard_end" + ) + assert [(p.name, p.value) for p in params] == [ + ("shard_start", "g"), + ("shard_end", "m"), + ] + + def test_start_only(self) -> None: + clause, params = bts.build_shard_clause("m", None, "rowkey") + assert clause == " AND rowkey >= @shard_start" + assert [(p.name, p.value) for p in params] == [("shard_start", "m")] + + def test_end_only(self) -> None: + clause, params = bts.build_shard_clause(None, "g", "rowkey") + assert clause == " AND rowkey < @shard_end" + assert [(p.name, p.value) for p in params] == [("shard_end", "g")] + + def test_unbounded(self) -> None: + clause, params = bts.build_shard_clause(None, None, "rowkey") + assert clause == "" + assert params == [] + + def test_invalid_column(self) -> None: + with self.assertRaises(ValueError): + bts.build_shard_clause("g", "m", "rowkey; DROP TABLE t") + + +class TestBuildShardQueries(unittest.TestCase): + def test_defaults_to_live_sampler(self) -> None: + assert BigtableQuerySharder().sampler is bts.default_sampler + + def test_predicate_per_shard(self) -> None: + sharder = BigtableQuerySharder(sampler=sampler_gm) + shard_queries = sharder.build_shard_queries( + SHARD_QUERY, {"instance": "i", "table": "t"} + ) + assert len(shard_queries) == 3 + + first = shard_queries[0] + assert "{shard_predicate}" not in first.sql + assert "rowkey < @shard_end" in first.sql + assert "rowkey >= @shard_start" not in first.sql + assert first.description == "[None, 'g')" + + mid = shard_queries[1] + assert "rowkey >= @shard_start" in mid.sql + assert "rowkey < @shard_end" in mid.sql + assert [(p.name, p.value) for p in mid.parameters] == [ + ("shard_start", "g"), + ("shard_end", "m"), + ] + assert mid.description == "['g', 'm')" + + last = shard_queries[2] + assert "rowkey >= @shard_start" in last.sql + assert "rowkey < @shard_end" not in last.sql + assert last.description == "['m', None)" + + +if __name__ == "__main__": + unittest.main() diff --git a/py/usageaccountant/bigquery_fetcher.py b/py/usageaccountant/bigquery_fetcher.py index 11f984e..52efa1b 100644 --- a/py/usageaccountant/bigquery_fetcher.py +++ b/py/usageaccountant/bigquery_fetcher.py @@ -1,11 +1,23 @@ import argparse import logging from datetime import date, datetime, timezone -from typing import Any, Iterable, List, Mapping, Optional, Sequence, TextIO +from typing import ( + Any, + Dict, + Iterable, + Iterator, + List, + Mapping, + Optional, + Sequence, + TextIO, + Tuple, +) from google.cloud import bigquery from usageaccountant.accumulator import UsageAccumulator, UsageUnit +from usageaccountant.bigtable_sharding import BigtableQuerySharder from usageaccountant.fetcher_utils import ( UsageAccumulatorRecord, assert_valid_unit, @@ -13,6 +25,7 @@ parse_and_assert_kafka_config, post_to_usage_accumulator, ) +from usageaccountant.query_sharding import QuerySharder logger = logging.getLogger("bigquery_fetcher") logging.basicConfig( @@ -28,6 +41,28 @@ # accumulator stamps the record with the run time. TIMESTAMP_COLUMN = "timestamp" +# Maps a query entry's shard-config key to the QuerySharder that handles it. +# A query carrying one of these keys is run per shard (see +# ``run_sharded_query``); to add another backend, register its sharder here. +SHARDERS: Mapping[str, QuerySharder] = { + "bigtable_shard": BigtableQuerySharder() +} + + +def select_sharder( + query_dict: Mapping[str, Any], sharders: Mapping[str, QuerySharder] +) -> Optional[Tuple[Mapping[str, Any], QuerySharder]]: + """ + Returns the ``(shard_config, sharder)`` for whichever registered + shard-config key is present in ``query_dict``, or ``None`` for an unsharded + query. + """ + for key, sharder in sharders.items(): + shard_config = query_dict.get(key) + if shard_config is not None: + return shard_config, sharder + return None + def normalize_timestamp(value: Any) -> Optional[int]: """ @@ -68,11 +103,15 @@ def normalize_timestamp(value: Any) -> Optional[int]: def parse_and_assert_query_file( - query_file: TextIO, -) -> Sequence[Mapping[str, str]]: + query_file: TextIO, sharders: Mapping[str, QuerySharder] = SHARDERS +) -> Sequence[Mapping[str, Any]]: """ Validates that the query file is a non-empty list and that each entry contains a ``query``, a ``shared_resource_id`` and a ``unit``. + + An entry may optionally carry a shard-config key (e.g. ``bigtable_shard``) + to run the query once per shard (see ``run_sharded_query``). When present + its config is validated by the corresponding ``QuerySharder``. """ import json @@ -85,6 +124,11 @@ def parse_and_assert_query_file( assert "shared_resource_id" in query_dict assert "unit" in query_dict + selected = select_sharder(query_dict, sharders) + if selected is not None: + shard_config, sharder = selected + sharder.validate_config(shard_config, query_dict["query"]) + return query_list @@ -121,31 +165,115 @@ def process_rows( return record_list +def run_sharded_query( + bq_client: bigquery.Client, + query: str, + shard_config: Mapping[str, Any], + sharder: QuerySharder, +) -> Iterator[Mapping[str, Any]]: + """ + Runs ``query`` once per shard and yields every row. + + The query is broken into shards by ``sharder`` (see ``QuerySharder``). + Each shard is a self-contained query bounded to a slice of the source + table. This is useful for evading BigQuery's 6h timeout for long-running + queries. + + Partial per-shard results are combined by the caller. + """ + shard_queries = sharder.build_shard_queries(query, shard_config) + logger.info("Query split into %d shard(s)", len(shard_queries)) + + for index, shard in enumerate(shard_queries): + logger.info( + "Running shard %d/%d %s", + index + 1, + len(shard_queries), + shard.description, + ) + job_config = bigquery.QueryJobConfig(query_parameters=shard.parameters) + query_job = bq_client.query(shard.sql, job_config=job_config) + yield from query_job.result() + + +def aggregate_records( + records: Iterable[UsageAccumulatorRecord], +) -> List[UsageAccumulatorRecord]: + """ + Sums record amounts sharing the same + ``(resource_id, app_feature, usage_type, timestamp)`` key. + """ + totals: Dict[Tuple[str, str, UsageUnit, Optional[int]], int] = {} + for record in records: + key = ( + record.resource_id, + record.app_feature, + record.usage_type, + record.timestamp, + ) + totals[key] = totals.get(key, 0) + record.amount + + return [ + UsageAccumulatorRecord( + resource_id=resource_id, + app_feature=app_feature, + amount=amount, + usage_type=usage_type, + timestamp=timestamp, + ) + for ( + resource_id, + app_feature, + usage_type, + timestamp, + ), amount in totals.items() + ] + + def main( query_file: TextIO, usage_accumulator: UsageAccumulator, bq_client: bigquery.Client, dry_run: bool, + sharders: Optional[Mapping[str, QuerySharder]] = None, ) -> None: """ query_file: File with a list of dictionaries, each containing a BigQuery - ``query``, a ``shared_resource_id`` and a ``unit``. + ``query``, a ``shared_resource_id`` and a ``unit``. An entry + may also carry a shard-config key (e.g. ``bigtable_shard``) to + break the query into shards. usage_accumulator: UsageAccumulator object. bq_client: BigQuery client used to run the queries. dry_run: When True, log the records instead of producing them to Kafka. + sharders: Registry mapping shard-config keys to their ``QuerySharder``; + defaults to ``SHARDERS``. Injectable for testing. """ - query_list = parse_and_assert_query_file(query_file) + if sharders is None: + sharders = SHARDERS + + query_list = parse_and_assert_query_file(query_file, sharders) record_list: List[UsageAccumulatorRecord] = [] for query_dict in query_list: query = query_dict["query"] unit = query_dict["unit"] shared_resource_id = query_dict["shared_resource_id"] + selected = select_sharder(query_dict, sharders) assert_valid_unit(unit) usage_unit = UsageUnit(unit.lower()) - rows = bq_client.query(query).result() - record_list.extend(process_rows(rows, usage_unit, shared_resource_id)) + if selected is not None: + shard_config, sharder = selected + rows: Iterable[Mapping[str, Any]] = run_sharded_query( + bq_client, query, shard_config, sharder + ) + records = process_rows(rows, usage_unit, shared_resource_id) + record_list.extend(aggregate_records(records)) + else: + rows = bq_client.query(query).result() + record_list.extend( + process_rows(rows, usage_unit, shared_resource_id) + ) if dry_run: log_records(logger, record_list) diff --git a/py/usageaccountant/bigtable_sharding.py b/py/usageaccountant/bigtable_sharding.py new file mode 100644 index 0000000..0efcc28 --- /dev/null +++ b/py/usageaccountant/bigtable_sharding.py @@ -0,0 +1,192 @@ +""" +Bigtable-backed :class:`QuerySharder`. + +Uses Bigtable's ``SampleRowKeys`` API to sample row keys that are roughly +equally spaced throughout the table. These samples are turned into row-key +ranges which are used as bounds for the sharded query. +""" + +import logging +import re +from typing import ( + Any, + Callable, + List, + Mapping, + Optional, + Sequence, + Tuple, + cast, +) + +from google.cloud import bigquery + +from usageaccountant.query_sharding import QuerySharder, ShardedQuery + +logger = logging.getLogger("bigtable_sharding") + +# Token in a shardable query that is replaced with the per-shard row-key +# predicate (see ``build_shard_clause``). Placed in a ``WHERE TRUE`` context so +# the empty (single-shard) case is still valid SQL. +DEFAULT_SHARD_PLACEHOLDER = "{shard_predicate}" +# BigQuery column exposing the Bigtable row key (the external table is created +# with ``read_rowkey_as_string = true``, so it is a ``STRING``). +DEFAULT_ROWKEY_COLUMN = "rowkey" + +# Given a ``bigtable_shard`` config, returns the raw row-key samples that split +# the table into roughly equal-sized shards. Injectable so tests can supply +# boundaries without a live Bigtable (default hits the Data API). +Sampler = Callable[[Mapping[str, Any]], Sequence[bytes]] + + +def default_sampler( + shard_config: Mapping[str, Any] +) -> Sequence[bytes]: # pragma: no cover + """ + Fetches Bigtable row-key samples via the Data API ``SampleRowKeys`` RPC. + """ + import google.cloud.bigtable as bigtable_module + + # Cast the module to Any: its typing is partial and it is absent from the + # type-check env, so this keeps mypy --strict happy either way without an + # env-dependent ``type: ignore``. The import is written as + # ``import google.cloud.bigtable`` rather than ``from google.cloud import + # bigtable`` so that, when the package is absent, mypy treats it as a + # missing module (silenced via mypy.ini) rather than a missing attribute of + # the ``google.cloud`` namespace package (an [attr-defined] error that + # ``ignore_missing_imports`` does not suppress). + bigtable = cast(Any, bigtable_module) + client = bigtable.Client(project=shard_config.get("project"), admin=False) + instance = client.instance(shard_config["instance"]) + table = instance.table(shard_config["table"]) + return [sample.row_key for sample in table.sample_row_keys()] + + +def shard_ranges_from_samples( + sample_keys: Sequence[bytes], +) -> List[Tuple[Optional[str], Optional[str]]]: + """ + Turns the row-key samples returned by Bigtable's ``SampleRowKeys`` into a + list of half-open ``[start, end)`` row-key ranges that together cover the + whole table. + + ``N`` distinct interior boundaries yield ``N + 1`` ranges; the first range + is unbounded below (``start=None``) and the last unbounded above + (``end=None``). Boundaries are decoded as UTF-8 (the external table reads + the row key as a ``STRING``); a non-UTF-8 boundary is dropped, which merges + the two adjacent shards -- coarser, but still correct and complete. With no + usable boundaries a single whole-table range is returned. + """ + boundaries: List[str] = [] + for key in sample_keys: + # The final sample is an empty key marking end-of-table; it is not a + # usable boundary. + if not key: + continue + try: + boundaries.append(key.decode("utf-8")) + except UnicodeDecodeError: + logger.warning("skipping non-UTF-8 row-key sample") + + ordered = sorted(set(boundaries)) + if not ordered: + return [(None, None)] + + ranges: List[Tuple[Optional[str], Optional[str]]] = [] + prev: Optional[str] = None + for boundary in ordered: + ranges.append((prev, boundary)) + prev = boundary + ranges.append((prev, None)) + return ranges + + +def build_shard_clause( + start: Optional[str], end: Optional[str], column: str +) -> Tuple[str, List[bigquery.ScalarQueryParameter]]: + """ + Builds the SQL fragment (and its bound parameters) restricting a query to a + single ``[start, end)`` row-key range. + + Row-key bounds are passed as named query parameters rather than + interpolated into the SQL, so arbitrary row-key bytes cannot break out of + the query. The returned fragment is prefixed with `` AND `` so it can be + dropped into a ``WHERE TRUE {shard_predicate}`` context. + """ + if not re.fullmatch(r"[A-Za-z_][A-Za-z0-9_]*", column): + raise ValueError(f"invalid rowkey column name: {column!r}") + + conditions: List[str] = [] + params: List[bigquery.ScalarQueryParameter] = [] + if start is not None: + conditions.append(f"{column} >= @shard_start") + params.append( + bigquery.ScalarQueryParameter("shard_start", "STRING", start) + ) + if end is not None: + conditions.append(f"{column} < @shard_end") + params.append( + bigquery.ScalarQueryParameter("shard_end", "STRING", end) + ) + + clause = "".join(f" AND {condition}" for condition in conditions) + return clause, params + + +class BigtableQuerySharder(QuerySharder): + """ + Shards a query over the row-key ranges of a Bigtable-backed table. + + The shard boundaries come from ``sampler`` (``SampleRowKeys``); it defaults + to the live Bigtable Data API client but is injectable so tests can supply + boundaries without a live Bigtable. + """ + + def __init__(self, sampler: Optional[Sampler] = None) -> None: + self.sampler = sampler if sampler is not None else default_sampler + + def validate_config( + self, shard_config: Mapping[str, Any], query: str + ) -> None: + """ + A ``bigtable_shard`` config must name the ``instance`` and ``table`` to + sample, and ``query`` must contain the shard placeholder so the + per-shard predicate can be injected. + """ + assert ( + "instance" in shard_config + ), "bigtable_shard requires an 'instance'" + assert "table" in shard_config, "bigtable_shard requires a 'table'" + placeholder = shard_config.get( + "placeholder", DEFAULT_SHARD_PLACEHOLDER + ) + assert ( + placeholder in query + ), f"sharded query must contain the {placeholder!r} placeholder" + + def build_shard_queries( + self, query: str, shard_config: Mapping[str, Any] + ) -> List[ShardedQuery]: + """ + Samples the table's row keys and, for each ``[start, end)`` range, + replaces the shard placeholder with a row-key predicate bounding the + query to that range. + """ + placeholder = shard_config.get( + "placeholder", DEFAULT_SHARD_PLACEHOLDER + ) + column = shard_config.get("rowkey_column", DEFAULT_ROWKEY_COLUMN) + + ranges = shard_ranges_from_samples(self.sampler(shard_config)) + + shard_queries: List[ShardedQuery] = [] + for start, end in ranges: + clause, params = build_shard_clause(start, end, column) + shard_queries.append( + ShardedQuery( + sql=query.replace(placeholder, clause), + parameters=params, + description=f"[{start!r}, {end!r})", + ) + ) + return shard_queries diff --git a/py/usageaccountant/query_sharding.py b/py/usageaccountant/query_sharding.py new file mode 100644 index 0000000..81cd4ee --- /dev/null +++ b/py/usageaccountant/query_sharding.py @@ -0,0 +1,53 @@ +""" +Interface for query sharding. + +BigQuery forcibly kills queries that run over 6 hours. Sharding allows a +long-running query to run to completion by breaking it into smaller pieces. +""" + +from abc import ABC, abstractmethod +from dataclasses import dataclass +from typing import Any, List, Mapping + +from google.cloud import bigquery + + +@dataclass(frozen=True) +class ShardedQuery: + """ + A single shard's fully-formed query: the SQL (with any shard placeholder + already resolved) and the bound query parameters it references. + + ``description`` is a human-readable label for the shard, intended for + logging (e.g. a Bigtable sharder labels it with the row-key range). + """ + + sql: str + parameters: List[bigquery.ScalarQueryParameter] + description: str + + +class QuerySharder(ABC): + """ + Splits a query into per-shard queries for a particular storage backend. + """ + + @abstractmethod + def validate_config( + self, shard_config: Mapping[str, Any], query: str + ) -> None: + """ + Assert that ``shard_config`` is well-formed for this backend and that + ``query`` is compatible with it (e.g. contains the shard placeholder). + """ + raise NotImplementedError + + @abstractmethod + def build_shard_queries( + self, query: str, shard_config: Mapping[str, Any] + ) -> List[ShardedQuery]: + """ + Split ``query`` into one ``ShardedQuery`` per shard, bounding each to a + slice of the source table as dictated by ``shard_config``. + """ + raise NotImplementedError diff --git a/py/uv.lock b/py/uv.lock index 7301295..0880f3f 100644 --- a/py/uv.lock +++ b/py/uv.lock @@ -1,6 +1,140 @@ version = 1 revision = 3 requires-python = ">=3.13" +resolution-markers = [ + "python_full_version >= '3.14'", + "python_full_version < '3.14'", +] + +[[package]] +name = "certifi" +version = "2026.7.22" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/a3/c2/24167ea9858356b47a87a50d39908bfdb72ceeefe0041586e704e5376b3a/certifi-2026.7.22.tar.gz", hash = "sha256:741e2c3b351ddf169a738da9f2c048608ff7f2c5cc02f1ebc6b118bb090d5d55", 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