works
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7eb697fecd
commit
34496c3128
4 changed files with 170 additions and 116 deletions
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@ -27,16 +27,16 @@ class CheckpointManager:
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return CheckpointManager(
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file_path=file_path,
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highest_synced_timestamp=contents[
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CheckpointManager.highest_synced_timestamp_field_key
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],
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highest_synced_timestamp=datetime.datetime.fromisoformat(
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contents[CheckpointManager.highest_synced_timestamp_field_key]
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),
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)
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def update_yml(self):
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write_yaml(
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path=self.file_path,
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data={
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CheckpointManager.highest_synced_timestamp_field_key: self.highest_synced_timestamp
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CheckpointManager.highest_synced_timestamp_field_key: self.highest_synced_timestamp.isoformat()
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},
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)
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@ -4,6 +4,7 @@ from dataclasses import dataclass
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ASSUMED_PREHISTORICAL_DATETIME = datetime.datetime.fromtimestamp(0)
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DESTINATION_COLUMN_NAME = "documents"
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DEFAULT_BATCH_SIZE = 100
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@dataclass
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@ -1,10 +1,8 @@
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import datetime
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import json
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from psycopg2.extras import execute_batch
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from psycopg2.sql import SQL
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from anaxi.checkpoint import CheckpointManager
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from anaxi.config import (
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get_cosmos_database_config_from_file,
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get_postgres_database_config_from_file,
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@ -18,6 +16,7 @@ from anaxi.constants import (
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from anaxi.cosmos_tools import create_cosmos_client_from_config, get_container_client
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from anaxi.logging import get_anaxi_logger
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from anaxi.postgres_tools import create_postgres_connection_from_config, simply_query
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from anaxi.sync import SyncJob
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logger = get_anaxi_logger(__name__)
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@ -49,115 +48,10 @@ def run_postgres_healthcheck_process(postgres_database: str) -> None:
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def run_sync_process(stream_id: str):
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stream_config = get_stream_config_from_file(stream_id)
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cosmos_db_config = get_cosmos_database_config_from_file(
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stream_config.cosmos_database_id
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)
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postgres_db_config = get_postgres_database_config_from_file(
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stream_config.postgres_database
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)
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logger.info("Preparing sync job...")
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sync_job = SyncJob(stream_id=stream_id)
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logger.info("Sync job ready.")
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logger.info("Looking for a previous checkpoint...")
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logger.info(f"Checkpoint is at: {sync_job.current_checkpoint}")
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checkpoint_file_path = PATHS.checkpoints_folder_path / (
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stream_config.stream_name + ".yml"
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)
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try:
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checkpoint_manager = CheckpointManager.load_from_yml(
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file_path=checkpoint_file_path
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)
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except FileNotFoundError:
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checkpoint_manager = CheckpointManager(
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file_path=checkpoint_file_path, highest_synced_timestamp=None
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)
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if checkpoint_manager.highest_synced_timestamp is None:
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logger.info(
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"Couldn't find an existing checkpoint. Will run from the stream's configured cutoff."
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)
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if stream_config.cutoff_timestamp is None:
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logger.info(
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"No cutoff has ben set. Loading since the start of the container's history."
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)
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checkpoint_manager.highest_synced_timestamp = ASSUMED_PREHISTORICAL_DATETIME
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else:
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checkpoint_manager.highest_synced_timestamp = stream_config.cutoff_timestamp
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logger.info("Starting sync.")
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# Connect to Cosmos
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cosmos_container_client = get_container_client(
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config=cosmos_db_config, container_name=stream_config.cosmos_container_name
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)
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# Connect to Postgres
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postgres_connection = create_postgres_connection_from_config(
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config=postgres_db_config
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)
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batch_size = 100
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# Iterate through cosmos change feed function call
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changed_feed_response = cosmos_container_client.query_items_change_feed(
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start_time=checkpoint_manager.highest_synced_timestamp
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)
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docs_batch = []
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cursor = postgres_connection.cursor()
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cursor.execute(
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f"""
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CREATE TABLE IF NOT EXISTS {stream_config.postgres_schema_name}.{stream_config.cosmos_container_name.replace('-', '_')} (
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{DESTINATION_COLUMN_NAME} JSONB
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);
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"""
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)
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postgres_connection.commit()
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for doc in changed_feed_response:
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docs_batch.append(doc)
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if len(docs_batch) < batch_size:
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continue
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logger.info("Reached batch size, trying to commit to database...")
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commit_batch(
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stream_config, checkpoint_manager, postgres_connection, docs_batch, cursor
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)
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logger.info("Committed batch.")
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docs_batch = []
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logger.info(f"Committing dangling documents ({len(docs_batch)})")
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commit_batch(
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stream_config, checkpoint_manager, postgres_connection, docs_batch, cursor
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)
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logger.info("Committed final batch.")
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logger.info("Finished sync.")
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def commit_batch(
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stream_config, checkpoint_manager, postgres_connection, docs_batch, cursor
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):
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checkpoint_manager.set_new_goal(
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goal_timestamp=datetime.datetime.fromtimestamp(docs_batch[-1]["_ts"])
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)
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json_data = [(json.dumps(d),) for d in docs_batch]
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insert_query = (
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f"INSERT INTO {stream_config.postgres_schema_name}.{stream_config.cosmos_container_name.replace('-', '_')}"
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+ f" ({DESTINATION_COLUMN_NAME})"
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+ " VALUES (%s)"
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)
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postgres_connection.rollback()
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execute_batch(cursor, insert_query, json_data)
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try:
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postgres_connection.commit()
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except Exception as e:
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logger.error(
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"An error has happened while trying to commit a batch. Rolling back."
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)
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postgres_connection.rollback()
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raise e
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else:
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checkpoint_manager.commit_goal()
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sync_job.run_sync()
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159
anaxi/sync.py
Normal file
159
anaxi/sync.py
Normal file
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@ -0,0 +1,159 @@
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import datetime
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import json
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from psycopg2.extras import execute_batch
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from anaxi.checkpoint import CheckpointManager
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from anaxi.config import (
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get_cosmos_database_config_from_file,
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get_postgres_database_config_from_file,
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get_stream_config_from_file,
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)
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from anaxi.constants import (
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ASSUMED_PREHISTORICAL_DATETIME,
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DEFAULT_BATCH_SIZE,
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DESTINATION_COLUMN_NAME,
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PATHS,
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)
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from anaxi.cosmos_tools import get_container_client
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from anaxi.logging import get_anaxi_logger
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from anaxi.postgres_tools import create_postgres_connection_from_config
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logger = get_anaxi_logger(__name__)
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class SyncJob:
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def __init__(
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self,
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stream_id: str,
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batch_size: int = DEFAULT_BATCH_SIZE,
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) -> None:
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self.stream_config = get_stream_config_from_file(stream_id)
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self.cosmos_db_config = get_cosmos_database_config_from_file(
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self.stream_config.cosmos_database_id
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)
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self.postgres_db_config = get_postgres_database_config_from_file(
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self.stream_config.postgres_database
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)
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self._batch_size = batch_size
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self.checkpoint_manager = self._create_checkpoint_manager()
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self.cosmos_container_client = get_container_client(
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config=self.cosmos_db_config,
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container_name=self.stream_config.cosmos_container_name,
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)
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self.postgres_connection = create_postgres_connection_from_config(
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config=self.postgres_db_config
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)
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@property
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def current_checkpoint(self):
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return self.checkpoint_manager.highest_synced_timestamp
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def run_sync(self):
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logger.info("Starting sync.")
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changed_feed_response, cursor = self._prepare_source_and_sink()
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docs_batch = []
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for doc in changed_feed_response:
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docs_batch.append(doc)
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if len(docs_batch) < self._batch_size:
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continue
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logger.info("Reached batch size, trying to commit to database...")
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self.commit_batch(
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docs_batch,
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cursor,
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)
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logger.info("Committed batch.")
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logger.info(
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f"Checkpoint is a now at: {self.checkpoint_manager.highest_synced_timestamp}"
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)
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docs_batch = []
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if docs_batch:
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logger.info(f"Committing dangling documents ({len(docs_batch)})")
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self.commit_batch(
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docs_batch,
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cursor,
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)
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logger.info("Committed final batch.")
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logger.info("Finished sync job.")
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def commit_batch(self, docs_batch, cursor):
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self.checkpoint_manager.set_new_goal(
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goal_timestamp=datetime.datetime.fromtimestamp(docs_batch[-1]["_ts"])
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)
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json_data = [(json.dumps(d),) for d in docs_batch]
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insert_query = (
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f"INSERT INTO {self.stream_config.postgres_schema_name}.{self.stream_config.cosmos_container_name.replace('-', '_')}"
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+ f" ({DESTINATION_COLUMN_NAME})"
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+ " VALUES (%s)"
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)
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self.postgres_connection.rollback()
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execute_batch(cursor, insert_query, json_data)
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try:
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self.postgres_connection.commit()
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except Exception as e:
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logger.error(
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"An error has happened while trying to commit a batch. Rolling back."
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)
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self.postgres_connection.rollback()
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raise e
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else:
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self.checkpoint_manager.commit_goal()
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def _prepare_source_and_sink(self):
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changed_feed_response = self.cosmos_container_client.query_items_change_feed(
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start_time=self.checkpoint_manager.highest_synced_timestamp
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)
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cursor = self.postgres_connection.cursor()
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cursor.execute(
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f"""
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CREATE TABLE IF NOT EXISTS {self.stream_config.postgres_schema_name}.{self.stream_config.cosmos_container_name.replace('-', '_')} (
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{DESTINATION_COLUMN_NAME} JSONB
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);
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"""
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)
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self.postgres_connection.commit()
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return changed_feed_response, cursor
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def _create_checkpoint_manager(self):
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checkpoint_file_path = PATHS.checkpoints_folder_path / (
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self.stream_config.stream_name + ".yml"
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)
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try:
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checkpoint_manager = CheckpointManager.load_from_yml(
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file_path=checkpoint_file_path
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)
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except FileNotFoundError:
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checkpoint_manager = CheckpointManager(
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file_path=checkpoint_file_path, highest_synced_timestamp=None
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)
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if checkpoint_manager.highest_synced_timestamp is None:
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logger.info(
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"Couldn't find an existing checkpoint. Will run from the stream's configured cutoff."
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)
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if self.stream_config.cutoff_timestamp is None:
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logger.info(
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"No cutoff has ben set. Loading since the start of the container's history."
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)
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checkpoint_manager.highest_synced_timestamp = (
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ASSUMED_PREHISTORICAL_DATETIME
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)
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else:
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checkpoint_manager.highest_synced_timestamp = (
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self.stream_config.cutoff_timestamp
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)
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return checkpoint_manager
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