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Singer SDK." readme = "README.md" authors = ["Ben Theunissen"] @@ -15,7 +15,7 @@ packages = [ [tool.poetry.dependencies] python = "<3.12,>=3.7.1" -singer-sdk = { version="^0.28.0" } +singer-sdk = { version=">=0.28,<0.31" } fs-s3fs = { version = "^1.1.1", optional = true } clickhouse-sqlalchemy = "^0.2.4" @@ -23,7 +23,7 @@ clickhouse-sqlalchemy = "^0.2.4" pytest = "^7.2.1" tox = "^3.25.0" ruff = "^0.0.278" -singer-sdk = { version="^0.28.0", extras = ["testing"] } +singer-sdk = { version=">=0.28,<0.31", extras = ["testing"] } [tool.poetry.extras] s3 = ["fs-s3fs"] diff --git a/target_clickhouse/sinks.py b/target_clickhouse/sinks.py index 5bd358e..f0bbf60 100644 --- a/target_clickhouse/sinks.py +++ b/target_clickhouse/sinks.py @@ -2,8 +2,9 @@ from __future__ import annotations +import json import typing -from typing import TYPE_CHECKING +from typing import TYPE_CHECKING, Any, Iterable import sqlalchemy.types from clickhouse_sqlalchemy import ( @@ -154,3 +155,32 @@ def full_table_name(self) -> str: schema_name=self.schema_name, db_name=self.database_name, ) + + def bulk_insert_records( + self, + full_table_name: str, + schema: dict, + records: Iterable[dict[str, Any]], + ) -> int | None: + """Bulk insert records to an existing destination table. + + The default implementation uses a generic SQLAlchemy bulk insert operation. + This method may optionally be overridden by developers in order to provide + faster, native bulk uploads. + + Args: + full_table_name: the target table name. + schema: the JSON schema for the new table, to be used when inferring column + names. + records: the input records. + + Returns: + True if table exists, False if not, None if unsure or undetectable. + """ + # Need to convert any records with a dict type to a JSON string. + for record in records: + for key, value in record.items(): + if isinstance(value, dict): + record[key] = json.dumps(value) + + return super().bulk_insert_records(full_table_name, schema, records)