From b6839a53c12b738abb20573db34d786ab1dcbfaf Mon Sep 17 00:00:00 2001 From: z3z1ma Date: Mon, 1 Jul 2024 15:21:42 -0700 Subject: [PATCH] chore: clean up code and bump deps, fix timeout propagation --- poetry.lock | 1794 +++++++++++++-------------- pyproject.toml | 2 +- target_bigquery/batch_job.py | 23 +- target_bigquery/constants.py | 4 +- target_bigquery/core.py | 110 +- target_bigquery/gcs_stage.py | 32 +- target_bigquery/proto_gen.py | 12 +- target_bigquery/storage_write.py | 74 +- target_bigquery/streaming_insert.py | 33 +- target_bigquery/target.py | 73 +- target_bigquery/tests/test_core.py | 1 + target_bigquery/tests/test_sync.py | 17 +- target_bigquery/tests/test_utils.py | 76 +- 13 files changed, 1124 insertions(+), 1127 deletions(-) diff --git a/poetry.lock b/poetry.lock index 837c39a..2aff456 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,10 +1,9 @@ -# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. 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b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "z3-target-bigquery" -version = "0.7.1" +version = "0.7.2" description = "z3-target-bigquery is a Singer target for BigQuery. It supports storage write, GCS, streaming, and batch load methods. Built with the Meltano SDK." authors = ["Alex Butler "] keywords = ["ELT", "BigQuery"] diff --git a/target_bigquery/batch_job.py b/target_bigquery/batch_job.py index bfa3f5c..2d90b1f 100644 --- a/target_bigquery/batch_job.py +++ b/target_bigquery/batch_job.py @@ -8,16 +8,15 @@ # # The above copyright notice and this permission notice shall be included in all copies or # substantial portions of the Software. -"""BigQuery Batch Job Sink. -Throughput test: 6m 25s @ 1M rows / 150 keys / 1.5GB -NOTE: This is naive and will vary drastically based on network speed, for example on a GCP VM. -""" +"""BigQuery Batch Job Sink.""" + import os from io import BytesIO +from mmap import mmap from multiprocessing import Process from multiprocessing.dummy import Process as _Thread from queue import Empty -from typing import Any, Dict, NamedTuple, Optional, Type, Union +from typing import Any, Dict, Optional, Type, Union, cast import orjson from google.cloud import bigquery @@ -35,13 +34,15 @@ class Job: def __init__( self, - data: Union[memoryview, bytes], - table: str, + data: Union[memoryview, bytes, mmap], + table: bigquery.TableReference, config: Dict[str, Any], + timeout: Optional[float] = 600.0, ) -> None: self.data = data self.table = table self.config = config + self.timeout = timeout self.attempt = 1 @@ -63,7 +64,7 @@ def run(self) -> None: BytesIO(job.data), job.table, num_retries=3, - timeout=self.config.get("timeout", 600), + timeout=job.timeout, job_config=bigquery.LoadJobConfig(**job.config), ).result() except Exception as exc: @@ -81,7 +82,7 @@ def run(self) -> None: f"[{self.ext_id}] Loaded {len(job.data)} bytes into {job.table}." ) finally: - self.queue.task_done() + self.queue.task_done() # type: ignore class BatchJobThreadWorker(BatchJobWorker, _Thread): @@ -93,7 +94,7 @@ class BatchJobProcessWorker(BatchJobWorker, Process): class BigQueryBatchJobSink(BaseBigQuerySink): - MAX_WORKERS = os.cpu_count() * 2 + MAX_WORKERS = (os.cpu_count() or 1) * 2 WORKER_CAPACITY_FACTOR = 1 WORKER_CREATION_MIN_INTERVAL = 10.0 @@ -114,7 +115,7 @@ def worker_cls_factory( worker_executor_cls: Type[Process], config: Dict[str, Any] ) -> Type[Union[BatchJobThreadWorker, BatchJobProcessWorker]]: Worker = type("Worker", (BatchJobWorker, worker_executor_cls), {}) - return Worker + return cast(Type[BatchJobThreadWorker], Worker) def process_record(self, record: Dict[str, Any], context: Dict[str, Any]) -> None: self.buffer.write(orjson.dumps(record, option=orjson.OPT_APPEND_NEWLINE)) diff --git a/target_bigquery/constants.py b/target_bigquery/constants.py index 9d1a56f..2d88bc8 100644 --- a/target_bigquery/constants.py +++ b/target_bigquery/constants.py @@ -67,6 +67,4 @@ "_sdc_table_version", ] -DEFAULT_BUCKET_PATH = ( - "gs://{bucket}/target_bigquery/{dataset}/{table}/extracted_date={date}/{batch_id}.jsonl.gz" -) +DEFAULT_BUCKET_PATH = "gs://{bucket}/target_bigquery/{dataset}/{table}/extracted_date={date}/{batch_id}.jsonl.gz" diff --git a/target_bigquery/core.py b/target_bigquery/core.py index ab77aa2..052dade 100644 --- a/target_bigquery/core.py +++ b/target_bigquery/core.py @@ -37,9 +37,21 @@ from subprocess import PIPE, Popen from tempfile import TemporaryFile from textwrap import dedent, indent -from typing import IO, TYPE_CHECKING, Any, Dict, Iterable, List, Optional, Tuple, Type, Union - -from google.api_core.exceptions import Conflict, Forbidden, NotFound +from typing import ( + IO, + TYPE_CHECKING, + Any, + Dict, + Iterable, + List, + Optional, + Tuple, + Type, + Union, + cast, +) + +from google.api_core.exceptions import NotFound from google.cloud import bigquery, bigquery_storage_v1, storage from google.cloud.bigquery import SchemaField from google.cloud.bigquery.table import TimePartitioning, TimePartitioningType @@ -123,6 +135,8 @@ def get_resolved_schema(self, apply_transforms: bool = False) -> List[bigquery.S return DEFAULT_SCHEMA elif self.ingestion_strategy is IngestionStrategy.DENORMALIZED: return self.get_schema(apply_transforms) + else: + raise ValueError(f"Invalid ingestion strategy: {self.ingestion_strategy}") def __str__(self) -> str: return f"{self.project}.{self.dataset}.{self.name}" @@ -166,30 +180,23 @@ def create_table( This is a convenience method that wraps the creation of a dataset and table in a single method call. It is idempotent and will not create a new table if one already exists.""" - try: - dataset = client.get_dataset(self.as_dataset(**kwargs["dataset"])) - except NotFound: - dataset = client.create_dataset(self.as_dataset(**kwargs["dataset"])) - except (Conflict, Forbidden): - if dataset.location != kwargs["dataset"]["location"]: - raise Exception( - f"Location of existing dataset {dataset.dataset_id} ({dataset.location}) " - f"does not match specified location: {kwargs['dataset']['location']}" - ) - finally: - self._dataset = dataset - try: - self._table = client.get_table(self.as_ref()) - except NotFound: - self._table = client.create_table( - self.as_table( - apply_transforms and self.ingestion_strategy != IngestionStrategy.FIXED, - **kwargs["table"], + if not hasattr(self, "_dataset"): + try: + self._dataset = client.get_dataset(self.as_dataset_ref()) + except NotFound: + self._dataset = client.create_dataset(self.as_dataset(**kwargs["dataset"])) + if not hasattr(self, "_table"): + try: + self._table = client.get_table(self.as_ref()) + except NotFound: + self._table = client.create_table( + self.as_table( + apply_transforms and self.ingestion_strategy != IngestionStrategy.FIXED, + **kwargs["table"], + ) ) - ) - else: - # Wait for eventual consistency - time.sleep(5) + # Wait for eventual consistency (for the sake of GRPC's default stream) + time.sleep(5) return self._dataset, self._table def default_table_options(self) -> Dict[str, Any]: @@ -314,7 +321,9 @@ def __init__( ): self.merge_target = copy(self.table) self.table = BigQueryTable( - name=f"{self.table_name}__{time.strftime('%Y%m%d%H%M%S')}__{uuid.uuid4()}", **opts) + name=f"{self.table_name}__{time.strftime('%Y%m%d%H%M%S')}__{uuid.uuid4()}", + **opts, + ) self.table.create_table( self.client, self.apply_transforms, @@ -324,7 +333,8 @@ def __init__( }, "dataset": { "location": self.config.get( - "location", BigQueryTable.default_dataset_options()["location"] + "location", + BigQueryTable.default_dataset_options()["location"], ) }, }, @@ -333,7 +343,9 @@ def __init__( elif self._is_overwrite_candidate(): self.overwrite_target = copy(self.table) self.table = BigQueryTable( - name=f"{self.table_name}__{time.strftime('%Y%m%d%H%M%S')}__{uuid.uuid4()}", **opts) + name=f"{self.table_name}__{time.strftime('%Y%m%d%H%M%S')}__{uuid.uuid4()}", + **opts, + ) self.table.create_table( self.client, self.apply_transforms, @@ -343,7 +355,8 @@ def __init__( }, "dataset": { "location": self.config.get( - "location", BigQueryTable.default_dataset_options()["location"] + "location", + BigQueryTable.default_dataset_options()["location"], ) }, }, @@ -456,7 +469,7 @@ def create_target(self, key_properties: Optional[List[str]] = None) -> None: # Table opts if key_properties and self.config.get("cluster_on_key_properties", False): kwargs["table"]["clustering_fields"] = tuple(key_properties[:4]) - partition_grain: str = self.config.get("partition_granularity") + partition_grain: Optional[str] = self.config.get("partition_granularity") if partition_grain: kwargs["table"]["time_partitioning"] = TimePartitioning( type_=PARTITION_STRATEGY[partition_grain.upper()], @@ -545,7 +558,7 @@ def clean_up(self) -> None: f" {self.table.get_escaped_name()}; DROP TABLE IF EXISTS" f" {self.table.get_escaped_name()};" ).result() - self.table = self.merge_target + self.table = cast(BigQueryTable, self.merge_target) self.merge_target = None @@ -561,7 +574,7 @@ class Denormalized: wait=wait_fixed(1), reraise=True, ) - def update_schema(self: BaseBigQuerySink) -> None: + def update_schema(self: BaseBigQuerySink) -> None: # type: ignore """Update the target schema.""" table = self.table.as_table() current_schema = table.schema[:] @@ -578,7 +591,9 @@ def update_schema(self: BaseBigQuerySink) -> None: ) def preprocess_record( - self: BaseBigQuerySink, record: Dict[str, Any], context: Dict[str, Any] + self: BaseBigQuerySink, # type: ignore + record: Dict[str, Any], + context: Dict[str, Any], ) -> Dict[str, Any]: """Preprocess a record before writing it to the sink.""" return self.table.schema_translator.translate_record(record) @@ -626,7 +641,7 @@ def storage_client_factory( ) -> bigquery_storage_v1.BigQueryWriteClient: """Get a BigQuery Storage Write client.""" if creds.path: - return bigquery_storage_v1.BigQueryWriteClient.from_service_account_file(creds.path) + return bigquery_storage_v1.BigQueryWriteClient.from_service_account_file(str(creds.path)) elif creds.json: return bigquery_storage_v1.BigQueryWriteClient.from_service_account_info( json.loads(creds.json) @@ -798,6 +813,8 @@ def _jsonschema_property_to_bigquery_column( return SchemaField(name, result_type, "NULLABLE") except Exception: return SchemaField(name, "JSON", "NULLABLE") + else: + raise ValueError(f"Invalid resolver version: {self.resolver_version}") def _translate_record_to_bigquery_schema( self, name: str, schema_property: dict, mode: str = "NULLABLE" @@ -809,10 +826,7 @@ def _translate_record_to_bigquery_schema( if len(properties) == 0: return SchemaField(name, "JSON", mode) - fields = [ - self._jsonschema_property_to_bigquery_column(col, t) - for col, t in properties - ] + fields = [self._jsonschema_property_to_bigquery_column(col, t) for col, t in properties] return SchemaField(name, "RECORD", mode, fields=fields) def _bigquery_field_to_projection( @@ -950,7 +964,7 @@ def write(self, data: bytes) -> None: def flush(self) -> None: """Flush the compressor buffer.""" self._gzip.flush() - self._buffer.flush() + self.buffer.flush() def close(self) -> None: """Close the compressor and wait for the gzip process to finish.""" @@ -959,8 +973,8 @@ def close(self) -> None: self._gzip.close() if self._compressor is not None: self._compressor.wait() - self._buffer.flush() - self._buffer.seek(0) + self.buffer.flush() + self.buffer.seek(0) self._closed = True def getvalue(self) -> bytes: @@ -968,21 +982,21 @@ def getvalue(self) -> bytes: if not self._closed: self.close() if self._compressor is not None: - return self._buffer.read() - return self._buffer.getvalue() + return self.buffer.read() + return self.buffer.getvalue() # type: ignore def getbuffer(self) -> Union[memoryview, mmap.mmap]: """Return the compressed buffer as a memoryview or mmap.""" if not self._closed: self.close() if self._compressor is not None: - return mmap.mmap(self._buffer.fileno(), 0, access=mmap.ACCESS_READ) - return self._buffer.getbuffer() + return mmap.mmap(self.buffer.fileno(), 0, access=mmap.ACCESS_READ) + return self.buffer.getbuffer() # type: ignore @property def buffer(self) -> IO[bytes]: """Return the compressed buffer as a file-like object.""" - return self._buffer + return cast(IO[bytes], self._buffer) def __del__(self) -> None: """Close the compressor and wait for the gzip process to finish. Dereference the buffer.""" @@ -991,7 +1005,7 @@ def __del__(self) -> None: # close the buffer, ignore error if we have an incremented rc due to memoryview # the gc will take care of the rest when the worker dereferences the buffer try: - self._buffer.close() + self.buffer.close() except BufferError: pass if self._compressor is not None and self._compressor.poll() is None: diff --git a/target_bigquery/gcs_stage.py b/target_bigquery/gcs_stage.py index 5db04e2..25e77be 100644 --- a/target_bigquery/gcs_stage.py +++ b/target_bigquery/gcs_stage.py @@ -8,23 +8,22 @@ # # The above copyright notice and this permission notice shall be included in all copies or # substantial portions of the Software. -"""BigQuery GCS Staging Sink. -Throughput test: 6m 30s @ 1M rows / 150 keys / 1.5GB -NOTE: This is naive and will vary drastically based on network speed, for example on a GCP VM. -""" +"""BigQuery GCS Staging Sink.""" + import os import shutil import time from io import BytesIO +from mmap import mmap from multiprocessing import Process from multiprocessing.connection import Connection from multiprocessing.dummy import Process as _Thread from queue import Empty -from typing import TYPE_CHECKING, Any, Dict, List, NamedTuple, Optional, Type, Union +from typing import TYPE_CHECKING, Any, Dict, List, Optional, Type, Union, cast import orjson -from google.api_core.exceptions import Conflict from google.cloud import bigquery, storage +from google.cloud.storage.blob import BlobWriter from target_bigquery.constants import DEFAULT_BUCKET_PATH from target_bigquery.core import ( @@ -47,7 +46,7 @@ class Job: def __init__( self, - buffer: Union[memoryview, bytes], + buffer: Union[memoryview, bytes, mmap], batch_id: str, table: str, dataset: str, @@ -94,7 +93,7 @@ def run(self) -> None: chunk_size=1024 * 1024 * 10, timeout=300, ) as fh: - shutil.copyfileobj(BytesIO(job.buffer), fh) + shutil.copyfileobj(BytesIO(job.buffer), cast(BlobWriter, fh)) job.gcs_notifier.send(path) except Exception as exc: job.attempt += 1 @@ -110,7 +109,7 @@ def run(self) -> None: f"[{self.ext_id}] Successfully uploaded {len(job.buffer)} bytes to {path}" ) finally: - self.queue.task_done() + self.queue.task_done() # type: ignore class GcsStagingThreadWorker(GcsStagingWorker, _Thread): @@ -122,7 +121,7 @@ class GcsStagingProcessWorker(GcsStagingWorker, Process): class BigQueryGcsStagingSink(BaseBigQuerySink): - MAX_WORKERS = os.cpu_count() * 2 + MAX_WORKERS = (os.cpu_count() or 1) * 2 WORKER_CAPACITY_FACTOR = 1 WORKER_CREATION_MIN_INTERVAL = 10.0 @@ -148,11 +147,14 @@ def __init__( self.increment_jobs_enqueued = target.increment_jobs_enqueued @staticmethod - def worker_cls_factory( - worker_executor_cls: Type[Process], config: Dict[str, Any] - ) -> Type[Union[GcsStagingThreadWorker, GcsStagingProcessWorker,]]: + def worker_cls_factory(worker_executor_cls: Type[Process], config: Dict[str, Any]) -> Type[ + Union[ + GcsStagingThreadWorker, + GcsStagingProcessWorker, + ] + ]: Worker = type("Worker", (GcsStagingWorker, worker_executor_cls), {}) - return Worker + return cast(Type[GcsStagingThreadWorker], Worker) @property def job_config(self) -> Dict[str, Any]: @@ -218,7 +220,7 @@ def create_bucket_if_not_exists(self) -> storage.Bucket: This is idempotent and will not create a new GCS bucket if one already exists.""" kwargs = {} - storage_class: str = self.config.get("storage_class") + storage_class: Optional[str] = self.config.get("storage_class") if storage_class: kwargs["storage_class"] = storage_class location: str = self.config.get("location", self.default_bucket_options()["location"]) diff --git a/target_bigquery/proto_gen.py b/target_bigquery/proto_gen.py index 31b57ab..aa1eb21 100644 --- a/target_bigquery/proto_gen.py +++ b/target_bigquery/proto_gen.py @@ -10,7 +10,7 @@ # substantial portions of the Software. import hashlib import os -from typing import Any, Dict, List, Optional, Type, cast +from typing import Any, Dict, Iterable, List, Optional, Tuple, Type, cast import proto from google.cloud.bigquery import SchemaField @@ -43,13 +43,13 @@ def generate_field_v2(base: SchemaField, i: int = 1, pool: Optional[Any] = None) label = descriptor_pb2.FieldDescriptorProto.LABEL_OPTIONAL if typ.upper() == "RECORD": - proto_cls = proto_schema_factory_v2(base.fields, pool) + proto_cls = proto_schema_factory_v2(list(base.fields), pool) props = dict( name=name, number=i, label=label, type=descriptor_pb2.FieldDescriptorProto.TYPE_MESSAGE, - type_name=proto_cls.DESCRIPTOR.full_name, + type_name=proto_cls.DESCRIPTOR.full_name, # type: ignore json_name=name, ) else: @@ -91,10 +91,10 @@ def proto_schema_factory_v2( factory.pool.Add(file_proto) proto_descriptor = factory.pool.FindMessageTypeByName(clsname) proto_cls = factory.GetPrototype(proto_descriptor) - return proto_cls + return proto_cls # type: ignore -def generate_field(base: SchemaField, i: int = 1) -> proto.Field: +def generate_field(base: SchemaField, i: int = 1) -> Tuple[proto.Field, str]: """Not intended for production use. Generate a proto.Field from a SchemaField.""" kwargs = {} @@ -119,7 +119,7 @@ def generate_field(base: SchemaField, i: int = 1) -> proto.Field: return (f, name) -def proto_schema_factory(bigquery_schema: List[SchemaField]) -> Type[proto.Message]: +def proto_schema_factory(bigquery_schema: Iterable[SchemaField]) -> Type[proto.Message]: """Not intended for production use. Generate a proto.Message from a BigQuery schema.""" return type( diff --git a/target_bigquery/storage_write.py b/target_bigquery/storage_write.py index d6b198e..8a8e411 100644 --- a/target_bigquery/storage_write.py +++ b/target_bigquery/storage_write.py @@ -8,10 +8,8 @@ # # The above copyright notice and this permission notice shall be included in all copies or # substantial portions of the Software. -"""BigQuery Storage Write Sink. -Throughput test: 11m 0s @ 1M rows / 150 keys / 1.5GB -NOTE: This is naive and will vary drastically based on network speed, for example on a GCP VM. -""" +"""BigQuery Storage Write Sink.""" + import os from multiprocessing import Process from multiprocessing.connection import Connection @@ -24,7 +22,6 @@ Callable, Dict, List, - NamedTuple, Optional, Set, Tuple, @@ -35,8 +32,8 @@ import orjson from google.cloud.bigquery_storage_v1 import BigQueryWriteClient, types, writer -from google.protobuf import json_format -from proto import Message +from google.protobuf import json_format, message +from proto import Field from tenacity import retry, stop_after_attempt, wait_fixed if TYPE_CHECKING: @@ -44,7 +41,12 @@ import logging -from target_bigquery.core import BaseBigQuerySink, BaseWorker, Denormalized, storage_client_factory +from target_bigquery.core import ( + BaseBigQuerySink, + BaseWorker, + Denormalized, + storage_client_factory, +) from target_bigquery.proto_gen import proto_schema_factory_v2 logger = logging.getLogger(__name__) @@ -54,40 +56,38 @@ """Maximum number of concurrent requests per worker be processed by grpc before awaiting.""" Dispatcher = Callable[[types.AppendRowsRequest], writer.AppendRowsFuture] -StreamComponents = Tuple[str, writer.AppendRowsStream, Dispatcher] +StreamComponents = Tuple[Field, writer.AppendRowsStream, Dispatcher] def get_application_stream(client: BigQueryWriteClient, job: "Job") -> StreamComponents: """Get an application created stream for the parent. This stream must be finalized and committed.""" write_stream = types.WriteStream() - write_stream.type_ = types.WriteStream.Type.PENDING + write_stream.type_ = types.WriteStream.Type.PENDING # type: ignore write_stream = client.create_write_stream(parent=job.parent, write_stream=write_stream) job.template.write_stream = write_stream.name append_rows_stream = writer.AppendRowsStream(client, job.template) rv = (write_stream.name, append_rows_stream) job.stream_notifier.send(rv) return *rv, retry( - append_rows_stream.send, wait=wait_fixed(2), stop=stop_after_attempt(5), reraise=True, - ) + )(append_rows_stream.send) def get_default_stream(client: BigQueryWriteClient, job: "Job") -> StreamComponents: """Get the default storage write API stream for the parent.""" - job.template.write_stream = BigQueryWriteClient.write_stream_path( + job.template.write_stream = BigQueryWriteClient.write_stream_path( # type: ignore **BigQueryWriteClient.parse_table_path(job.parent), stream="_default" ) append_rows_stream = writer.AppendRowsStream(client, job.template) rv = (job.template.write_stream, append_rows_stream) job.stream_notifier.send(rv) return *rv, retry( - append_rows_stream.send, wait=wait_fixed(2), stop=stop_after_attempt(5), reraise=True, - ) + )(append_rows_stream.send) def generate_request( @@ -98,16 +98,16 @@ def generate_request( """Generate a request for the storage write API from a payload.""" request = types.AppendRowsRequest() if offset is not None: - request.offset = int(offset) + request.offset = int(offset) # type: ignore if path is not None: - request.write_stream = path + request.write_stream = path # type: ignore proto_data = types.AppendRowsRequest.ProtoData() - proto_data.rows = payload - request.proto_rows = proto_data + proto_data.rows = payload # type: ignore + request.proto_rows = proto_data # type: ignore return request -def generate_template(message: Type[Message]): +def generate_template(message: Type[message.Message]): """Generate a template for the storage write API from a proto message class.""" from google.protobuf import descriptor_pb2 @@ -115,12 +115,12 @@ def generate_template(message: Type[Message]): types.AppendRowsRequest(), types.ProtoSchema(), descriptor_pb2.DescriptorProto(), - types.AppendRowsRequest.ProtoData(), + types.AppendRowsRequest.ProtoData(), # type: ignore ) message.DESCRIPTOR.CopyToProto(proto_descriptor) - proto_schema.proto_descriptor = proto_descriptor - proto_data.writer_schema = proto_schema - template.proto_rows = proto_data + proto_schema.proto_descriptor = proto_descriptor # type: ignore + proto_data.writer_schema = proto_schema # type: ignore + template.proto_rows = proto_data # type: ignore return template @@ -179,7 +179,7 @@ def run(self): try: kwargs = {} - if write_stream.endswith("_default"): + if write_stream.endswith("_default"): # type: ignore kwargs["offset"] = None kwargs["path"] = write_stream else: @@ -206,14 +206,14 @@ def run(self): raise else: self.log_notifier.send( - f"[{self.ext_id}] Sent {len(job.data.serialized_rows)} rows to {write_stream}" + f"[{self.ext_id}] Sent {len(job.data.serialized_rows)} rows to {write_stream}" # type: ignore f" with offset {self.offsets[job.parent]}." ) - self.offsets[job.parent] += len(job.data.serialized_rows) + self.offsets[job.parent] += len(job.data.serialized_rows) # type: ignore if len(self.awaiting) > MAX_IN_FLIGHT: self.wait() finally: - self.queue.task_done() + self.queue.task_done() # type: ignore # Wait for all in-flight requests to complete after poison pill self.logger.info(f"[{self.ext_id}] : {self.offsets}") self.wait(drain=True) @@ -263,15 +263,13 @@ class StorageWriteProcessBatchWorker(StorageWriteBatchWorker, Process): class BigQueryStorageWriteSink(BaseBigQuerySink): - MAX_WORKERS = os.cpu_count() * 2 + MAX_WORKERS = (os.cpu_count() or 1) * 2 MAX_JOBS_QUEUED = MAX_WORKERS * 2 WORKER_CAPACITY_FACTOR = 10 WORKER_CREATION_MIN_INTERVAL = 1.0 @staticmethod - def worker_cls_factory( - worker_executor_cls: Type[Process], config: Dict[str, Any] - ) -> Type[ + def worker_cls_factory(worker_executor_cls: Type[Process], config: Dict[str, Any]) -> Type[ Union[ StorageWriteThreadStreamWorker, StorageWriteProcessStreamWorker, @@ -283,7 +281,7 @@ def worker_cls_factory( Worker = type("Worker", (StorageWriteBatchWorker, worker_executor_cls), {}) else: Worker = type("Worker", (StorageWriteStreamWorker, worker_executor_cls), {}) - return Worker + return cast(Type[StorageWriteThreadStreamWorker], Worker) def __init__( self, @@ -303,12 +301,12 @@ def __init__( self.template = generate_template(self.proto_schema) @property - def proto_schema(self) -> Type[Message]: + def proto_schema(self) -> Type[message.Message]: if not hasattr(self, "_proto_schema"): self._proto_schema = proto_schema_factory_v2( self.table.get_resolved_schema(self.apply_transforms) ) - return self._proto_schema + return cast(Type[message.Message], self._proto_schema) def start_batch(self, context: Dict[str, Any]) -> None: self.proto_rows = types.ProtoRows() @@ -319,7 +317,7 @@ def preprocess_record(self, record: dict, context: dict) -> dict: return record def process_record(self, record: Dict[str, Any], context: Dict[str, Any]) -> None: - self.proto_rows.serialized_rows.append( + self.proto_rows.serialized_rows.append( # type: ignore json_format.ParseDict(record, self.proto_schema()).SerializeToString() ) @@ -346,7 +344,9 @@ def commit_streams(self) -> None: if not self.open_streams: return self.open_streams = [ - (name, stream) for name, stream in self.open_streams if not name.endswith("_default") + (name, stream) + for name, stream in self.open_streams + if not name.endswith("_default") # type: ignore ] if self.open_streams: committer = storage_client_factory(self._credentials) diff --git a/target_bigquery/streaming_insert.py b/target_bigquery/streaming_insert.py index 315165c..4072646 100644 --- a/target_bigquery/streaming_insert.py +++ b/target_bigquery/streaming_insert.py @@ -8,22 +8,25 @@ # # The above copyright notice and this permission notice shall be included in all copies or # substantial portions of the Software. -"""BigQuery Streaming Insert Sink. -Throughput test: ...slower than all other methods, no test results available. -NOTE: This is naive and will vary drastically based on network speed, for example on a GCP VM. -""" +"""BigQuery Streaming Insert Sink.""" + import os from multiprocessing import Process from multiprocessing.dummy import Process as _Thread from queue import Empty -from typing import Any, Dict, List, NamedTuple, Optional, Type, Union +from typing import Any, Dict, List, Optional, Type, Union, cast import orjson from google.api_core.exceptions import GatewayTimeout, NotFound from google.cloud import _http, bigquery from tenacity import retry, retry_if_exception_type, stop_after_delay, wait_fixed -from target_bigquery.core import BaseBigQuerySink, BaseWorker, Denormalized, bigquery_client_factory +from target_bigquery.core import ( + BaseBigQuerySink, + BaseWorker, + Denormalized, + bigquery_client_factory, +) class Job: @@ -56,14 +59,13 @@ def run(self) -> None: break try: _ = retry( - client.insert_rows_json, retry=retry_if_exception_type( (ConnectionError, TimeoutError, NotFound, GatewayTimeout) ), wait=wait_fixed(1), stop=stop_after_delay(10), reraise=True, - )(table=job.table, json_rows=job.records) + )(client.insert_rows_json)(table=job.table, json_rows=job.records) except Exception as exc: job.attempt += 1 if job.attempt > 3: @@ -78,7 +80,7 @@ def run(self) -> None: f"[{self.ext_id}] Inserted {len(job.records)} records into {job.table}" ) finally: - self.queue.task_done() + self.queue.task_done() # type: ignore class StreamingInsertThreadWorker(StreamingInsertWorker, _Thread): @@ -90,16 +92,19 @@ class StreamingInsertProcessWorker(StreamingInsertWorker, Process): class BigQueryStreamingInsertSink(BaseBigQuerySink): - MAX_WORKERS = os.cpu_count() * 2 + MAX_WORKERS = (os.cpu_count() or 1) * 2 WORKER_CAPACITY_FACTOR = 10 WORKER_CREATION_MIN_INTERVAL = 1.0 @staticmethod - def worker_cls_factory( - worker_executor_cls: Type[Process], config: Dict[str, Any] - ) -> Type[Union[StreamingInsertThreadWorker, StreamingInsertProcessWorker,]]: + def worker_cls_factory(worker_executor_cls: Type[Process], config: Dict[str, Any]) -> Type[ + Union[ + StreamingInsertThreadWorker, + StreamingInsertProcessWorker, + ] + ]: Worker = type("Worker", (StreamingInsertWorker, worker_executor_cls), {}) - return Worker + return cast(Type[StreamingInsertThreadWorker], Worker) def preprocess_record(self, record: dict, context: dict) -> dict: record = super().preprocess_record(record, context) diff --git a/target_bigquery/target.py b/target_bigquery/target.py index a7fa016..1b3feb8 100644 --- a/target_bigquery/target.py +++ b/target_bigquery/target.py @@ -9,19 +9,42 @@ # The above copyright notice and this permission notice shall be included in all copies or # substantial portions of the Software. """BigQuery target class.""" + +from __future__ import annotations + import copy -import os import time import uuid -from typing import TYPE_CHECKING, Callable, Dict, List, Optional, Tuple, Type, Union +from typing import ( + TYPE_CHECKING, + Callable, + Dict, + List, + Optional, + Tuple, + Type, + Union, + cast, +) from singer_sdk import Sink from singer_sdk import typing as th from singer_sdk.target_base import Target -from target_bigquery.batch_job import BigQueryBatchJobDenormalizedSink, BigQueryBatchJobSink -from target_bigquery.core import BaseBigQuerySink, BaseWorker, BigQueryCredentials, ParType -from target_bigquery.gcs_stage import BigQueryGcsStagingDenormalizedSink, BigQueryGcsStagingSink +from target_bigquery.batch_job import ( + BigQueryBatchJobDenormalizedSink, + BigQueryBatchJobSink, +) +from target_bigquery.core import ( + BaseBigQuerySink, + BaseWorker, + BigQueryCredentials, + ParType, +) +from target_bigquery.gcs_stage import ( + BigQueryGcsStagingDenormalizedSink, + BigQueryGcsStagingSink, +) from target_bigquery.storage_write import ( BigQueryStorageWriteDenormalizedSink, BigQueryStorageWriteSink, @@ -337,9 +360,12 @@ def __init__(self, *args, **kwargs) -> None: ) def worker_factory(): - return self.get_sink_class().worker_cls_factory( - self.proc_cls, - self.config, + return cast( + Type[BaseWorker], + self.get_sink_class().worker_cls_factory( + self.proc_cls, + dict(self.config), + ), )( ext_id=uuid.uuid4().hex, queue=self.queue, @@ -363,9 +389,7 @@ def increment_jobs_enqueued(self) -> None: # We woulod approach this by adding a new ParType enum and interpreting the # the Process, Pipe, and Queue classes as protocols which can be duck-typed. - def get_parallelization_components( - self, default=ParType.THREAD - ) -> Tuple[ + def get_parallelization_components(self, default=ParType.THREAD) -> Tuple[ Type["Process"], Callable[[bool], Tuple["Connection", "Connection"]], Callable[[], "Queue"], @@ -381,7 +405,7 @@ def get_parallelization_components( from multiprocessing.dummy import Pipe, Process, Queue self.logger.info("Using thread-based parallelism") - return Process, Pipe, Queue, ParType.THREAD + return Process, Pipe, Queue, ParType.THREAD # type: ignore else: from multiprocessing import Pipe, Process, Queue @@ -423,15 +447,17 @@ def resize_worker_pool(self) -> None: workers_to_cull = [] worker_spawned = False for i, worker in enumerate(self.workers): - if not worker.is_alive(): + if not cast("Process", worker).is_alive(): workers_to_cull.append(i) for i in reversed(workers_to_cull): worker = self.workers.pop(i) - worker.join() # Wait for the worker to terminate. This should be a no-op. - self.logger.info("Culling terminated worker %s", worker.ext_id) + cast( + "Process", worker + ).join() # Wait for the worker to terminate. This should be a no-op. + self.logger.info("Culling terminated worker %s", worker.ext_id) # type: ignore while self.add_worker_predicate or not self.workers: worker = self.worker_factory() - worker.start() + cast("Process", worker).start() self.workers.append(worker) worker_spawned = True self.logger.info("Adding worker %s", worker.ext_id) @@ -444,8 +470,9 @@ def resize_worker_pool(self) -> None: def get_sink_class(self, stream_name: Optional[str] = None) -> Type[BaseBigQuerySink]: """Returns the sink class to use for a given stream based on user config.""" _ = stream_name - method, denormalized = self.config.get("method", "storage_write_api"), self.config.get( - "denormalized", False + method, denormalized = ( + self.config.get("method", "storage_write_api"), + self.config.get("denormalized", False), ) if method == "batch_job": if denormalized: @@ -525,17 +552,17 @@ def drain_all(self, is_endofpipe: bool = False) -> None: # type: ignore self._drain_all(list(self._sinks_active.values()), self.max_parallelism) if is_endofpipe: for worker in self.workers: - if worker.is_alive(): + if cast("Process", worker).is_alive(): self.queue.put(None) while len(self.workers): - worker.join() + cast("Process", worker).join() worker = self.workers.pop() - for sink in self._sinks_active.values(): + for sink in self._sinks_active.values(): # type: ignore sink.clean_up() else: for worker in self.workers: - worker.join() - for sink in self._sinks_active.values(): + cast("Process", worker).join() + for sink in self._sinks_active.values(): # type: ignore sink.pre_state_hook() if state: self._write_state_message(state) diff --git a/target_bigquery/tests/test_core.py b/target_bigquery/tests/test_core.py index 102c3b9..8075a9d 100644 --- a/target_bigquery/tests/test_core.py +++ b/target_bigquery/tests/test_core.py @@ -1,4 +1,5 @@ """Tests standard target features using the built-in SDK tests library.""" + import os from singer_sdk.testing import get_standard_target_tests diff --git a/target_bigquery/tests/test_sync.py b/target_bigquery/tests/test_sync.py index 0bb46e6..53ec8aa 100644 --- a/target_bigquery/tests/test_sync.py +++ b/target_bigquery/tests/test_sync.py @@ -1,4 +1,5 @@ """Tests standard target features using the built-in SDK tests library.""" + import datetime import io import os @@ -54,7 +55,9 @@ ["batch_job", "streaming_insert", "storage_write_api", "gcs_stage"], ids=["batch_job", "streaming_insert", "storage_write_api", "gcs_stage"], ) -@pytest.mark.parametrize("batch_mode", [False, True], ids=["no_batch_mode", "batch_mode"]) +@pytest.mark.parametrize( + "batch_mode", [False, True], ids=["no_batch_mode", "batch_mode"] +) def test_basic_sync(method, batch_mode): OPTS = { "method": method, @@ -100,13 +103,17 @@ def test_basic_sync(method, batch_mode): # target.get_sink_class().WORKER_CAPACITY_FACTOR = 1 # target.get_sink_class().WORKER_CREATION_MIN_INTERVAL = 1 - client = bigquery_client_factory(BigQueryCredentials(json=target.config["credentials_json"])) + client = bigquery_client_factory( + BigQueryCredentials(json=target.config["credentials_json"]) + ) try: client.query(f"TRUNCATE TABLE {target.config['dataset']}.{table_name}").result() except NotFound: pass try: - client.query(f"TRUNCATE TABLE {target.config['dataset']}.{table_name_2}").result() + client.query( + f"TRUNCATE TABLE {target.config['dataset']}.{table_name_2}" + ).result() except NotFound: pass @@ -187,7 +194,9 @@ def test_basic_denorm_sync(method): # target.get_sink_class().WORKER_CAPACITY_FACTOR = 2 # target.get_sink_class().WORKER_CREATION_MIN_INTERVAL = 1 - client = bigquery_client_factory(BigQueryCredentials(json=target.config["credentials_json"])) + client = bigquery_client_factory( + BigQueryCredentials(json=target.config["credentials_json"]) + ) try: client.query(f"TRUNCATE TABLE {target.config['dataset']}.{table_name}").result() except NotFound: diff --git a/target_bigquery/tests/test_utils.py b/target_bigquery/tests/test_utils.py index 933ca11..574500d 100644 --- a/target_bigquery/tests/test_utils.py +++ b/target_bigquery/tests/test_utils.py @@ -174,8 +174,12 @@ def test_bigquery_type(jsonschema_type: str, jsonschema_format: str, expected: s "customColumns", th.ObjectType( th.Property("column_1655996461265", th.StringType), - th.Property("column_1644862416222", th.ArrayType(th.StringType)), - th.Property("column_1644861659664", th.ArrayType(th.StringType)), + th.Property( + "column_1644862416222", th.ArrayType(th.StringType) + ), + th.Property( + "column_1644861659664", th.ArrayType(th.StringType) + ), ), ), th.Property( @@ -258,16 +262,26 @@ def test_bigquery_type(jsonschema_type: str, jsonschema_format: str, expected: s th.Property( "customColumns", th.ObjectType( - th.Property("column_1664478354663", th.StringType), - th.Property("column_1655996461265", th.StringType), - th.Property("column_1644862416222", th.StringType), - th.Property("column_1644861659664", th.StringType), + th.Property( + "column_1664478354663", th.StringType + ), + th.Property( + "column_1655996461265", th.StringType + ), + th.Property( + "column_1644862416222", th.StringType + ), + th.Property( + "column_1644861659664", th.StringType + ), ), ), th.Property( "custom", th.ObjectType( - th.Property("field_1651169416679", th.StringType), + th.Property( + "field_1651169416679", th.StringType + ), ), ), ), @@ -279,7 +293,9 @@ def test_bigquery_type(jsonschema_type: str, jsonschema_format: str, expected: s th.Property("yearsSinceTermination", th.StringType), th.Property("terminationReason", th.StringType), th.Property("probationEndDate", th.StringType), - th.Property("currentActiveStatusStartDate", th.StringType), + th.Property( + "currentActiveStatusStartDate", th.StringType + ), th.Property("terminationDate", th.StringType), th.Property("status", th.StringType), th.Property("terminationType", th.StringType), @@ -305,7 +321,9 @@ def test_bigquery_type(jsonschema_type: str, jsonschema_format: str, expected: s th.Property( "custom", th.ObjectType( - th.Property("field_1645133202751", th.StringType), + th.Property( + "field_1645133202751", th.StringType + ), ), ), ), @@ -318,8 +336,12 @@ def test_bigquery_type(jsonschema_type: str, jsonschema_format: str, expected: s th.Property( "custom", th.ObjectType( - th.Property("field_1647463606890", th.StringType), - th.Property("field_1647619490812", th.StringType), + th.Property( + "field_1647463606890", th.StringType + ), + th.Property( + "field_1647619490812", th.StringType + ), ), ), ), @@ -330,7 +352,9 @@ def test_bigquery_type(jsonschema_type: str, jsonschema_format: str, expected: s th.Property( "custom", th.ObjectType( - th.Property("field_1651694080083", th.StringType), + th.Property( + "field_1651694080083", th.StringType + ), ), ), ), @@ -343,8 +367,12 @@ def test_bigquery_type(jsonschema_type: str, jsonschema_format: str, expected: s th.ObjectType( th.Property("siteWorkinPattern", th.StringType), th.Property("salaryPayType", th.StringType), - th.Property("actualWorkingPattern", th.StringType), - th.Property("activeeffectivedate", th.StringType), + th.Property( + "actualWorkingPattern", th.StringType + ), + th.Property( + "activeeffectivedate", th.StringType + ), th.Property("workingPattern", th.StringType), th.Property("fte", th.StringType), th.Property("type", th.StringType), @@ -579,7 +607,9 @@ def test_schema_translator_views( ], ids=["basic_schema_translation", "schema_translation_with_transform"], ) -def test_schema_translator_tables(schema: dict, transforms: dict, expected: List[SchemaField]): +def test_schema_translator_tables( + schema: dict, transforms: dict, expected: List[SchemaField] +): assert ( SchemaTranslator( schema, @@ -637,7 +667,9 @@ def test_schema_translator_tables(schema: dict, transforms: dict, expected: List "type": "array", "items": { "type": "object", - "properties": {"IntColumn": {"type": "integer"}}, + "properties": { + "IntColumn": {"type": "integer"} + }, }, } }, @@ -648,7 +680,11 @@ def test_schema_translator_tables(schema: dict, transforms: dict, expected: List }, {"snake_case": True}, [ - {"NestedLevelOne": {"NestedLevelTwo": {"ArrayColumn": [{"IntColumn": 1}]}}}, + { + "NestedLevelOne": { + "NestedLevelTwo": {"ArrayColumn": [{"IntColumn": 1}]} + } + }, { "NestedLevelOne": { "NestedLevelTwo": { @@ -662,7 +698,11 @@ def test_schema_translator_tables(schema: dict, transforms: dict, expected: List }, ], [ - {"nested_level_one": {"nested_level_two": {"array_column": [{"int_column": 1}]}}}, + { + "nested_level_one": { + "nested_level_two": {"array_column": [{"int_column": 1}]} + } + }, { "nested_level_one": { "nested_level_two": {