chore: refactor sql onto separate connector

target_snowflake/connector.py

@@ -0,0 +1,354 @@
+import os
+from operator import contains, eq
+from typing import Any, Dict, Iterable, Optional, Sequence, Tuple, cast
+from urllib.parse import urlparse
+from uuid import uuid4
+
+import snowflake.sqlalchemy.custom_types as sct
+import sqlalchemy
+from singer_sdk import typing as th
+from singer_sdk.batch import lazy_chunked_generator
+from singer_sdk.connectors import SQLConnector
+from singer_sdk.helpers._batch import BaseBatchFileEncoding, BatchConfig
+from singer_sdk.helpers._typing import conform_record_data_types
+from snowflake.sqlalchemy import URL
+from sqlalchemy.engine import Engine
+from sqlalchemy.sql import text
+
+
+class TypeMap:
+    def __init__(self, operator, map_value, match_value=None):
+        self.operator = operator
+        self.map_value = map_value
+        self.match_value = match_value
+
+    def match(self, compare_value):
+        try:
+            if self.match_value:
+                return self.operator(compare_value, self.match_value)
+            return self.operator(compare_value)
+        except TypeError:
+            return False
+
+
+def evaluate_typemaps(type_maps, compare_value, unmatched_value):
+    for type_map in type_maps:
+        if type_map.match(compare_value):
+            return type_map.map_value
+    return unmatched_value
+
+
+class SnowflakeConnector(SQLConnector):
+    """Snowflake Target Connector.
+
+    This class handles all DDL and type conversions.
+    """
+
+    allow_column_add: bool = True  # Whether ADD COLUMN is supported.
+    allow_column_rename: bool = True  # Whether RENAME COLUMN is supported.
+    allow_column_alter: bool = True  # Whether altering column types is supported.
+    allow_merge_upsert: bool = False  # Whether MERGE UPSERT is supported.
+    allow_temp_tables: bool = True  # Whether temp tables are supported.
+
+    def get_sqlalchemy_url(self, config: dict) -> str:
+        """Generates a SQLAlchemy URL for Snowflake.
+
+        Args:
+            config: The configuration for the connector.
+        """
+        params = {
+            "account": config["account"],
+            "user": config["user"],
+            "password": config["password"],
+            "database": config["database"],
+        }
+
+        for option in ["warehouse", "role"]:
+            if config.get(option):
+                params[option] = config.get(option)
+
+        return URL(**params)
+
+    def create_engine(self) -> Engine:
+        """Creates and returns a new engine. Do not call outside of _engine.
+
+        NOTE: Do not call this method. The only place that this method should
+        be called is inside the self._engine method. If you'd like to access
+        the engine on a connector, use self._engine.
+
+        This method exists solely so that tap/target developers can override it
+        on their subclass of SQLConnector to perform custom engine creation
+        logic.
+
+        Returns:
+            A new SQLAlchemy Engine.
+        """
+        return sqlalchemy.create_engine(
+            self.sqlalchemy_url,
+            connect_args={
+                "session_parameters": {
+                    "QUOTED_IDENTIFIERS_IGNORE_CASE": "TRUE",
+                }
+            },
+            echo=False,
+        )
+
+    @staticmethod
+    def get_column_alter_ddl(
+        table_name: str, column_name: str, column_type: sqlalchemy.types.TypeEngine
+    ) -> sqlalchemy.DDL:
+        """Get the alter column DDL statement.
+
+        Override this if your database uses a different syntax for altering columns.
+
+        Args:
+            table_name: Fully qualified table name of column to alter.
+            column_name: Column name to alter.
+            column_type: New column type string.
+
+        Returns:
+            A sqlalchemy DDL instance.
+        """
+        return sqlalchemy.DDL(
+            "ALTER TABLE %(table_name)s ALTER COLUMN %(column_name)s SET DATA TYPE %(column_type)s",
+            {
+                "table_name": table_name,
+                "column_name": column_name,
+                "column_type": column_type,
+            },
+        )
+
+    @staticmethod
+    def to_sql_type(jsonschema_type: dict) -> sqlalchemy.types.TypeEngine:
+        """Return a JSON Schema representation of the provided type.
+
+        Uses custom Snowflake types from [snowflake-sqlalchemy](https://github.com/snowflakedb/snowflake-sqlalchemy/blob/main/src/snowflake/sqlalchemy/custom_types.py)
+
+        Args:
+            jsonschema_type: The JSON Schema representation of the source type.
+
+        Returns:
+            The SQLAlchemy type representation of the data type.
+        """
+        # start with default implementation
+        target_type = SQLConnector.to_sql_type(jsonschema_type)
+        # snowflake max and default varchar length
+        # https://docs.snowflake.com/en/sql-reference/intro-summary-data-types.html
+        maxlength = jsonschema_type.get("maxLength", 16777216)
+        # define type maps
+        string_submaps = [
+            TypeMap(eq, sct.TIMESTAMP_NTZ(), "date-time"),
+            TypeMap(contains, sqlalchemy.types.TIME(), "time"),
+            TypeMap(eq, sqlalchemy.types.DATE(), "date"),
+            TypeMap(eq, sqlalchemy.types.VARCHAR(maxlength), None),
+        ]
+        type_maps = [
+            TypeMap(th._jsonschema_type_check, sct.NUMBER(), ("integer",)),
+            TypeMap(th._jsonschema_type_check, sct.VARIANT(), ("object",)),
+            TypeMap(th._jsonschema_type_check, sct.VARIANT(), ("array",)),
+        ]
+        # apply type maps
+        if th._jsonschema_type_check(jsonschema_type, ("string",)):
+            datelike_type = th.get_datelike_property_type(jsonschema_type)
+            target_type = evaluate_typemaps(string_submaps, datelike_type, target_type)
+        else:
+            target_type = evaluate_typemaps(type_maps, jsonschema_type, target_type)
+
+        return cast(sqlalchemy.types.TypeEngine, target_type)
+
+    def prepare_schema(self, schema_name: str) -> None:
+        """Create the target database schema.
+
+        Args:
+            schema_name: The target schema name.
+        """
+        with self._connect() as conn:
+            conn.execute(f"CREATE SCHEMA IF NOT EXISTS {schema_name}")
+
+    # Custom SQL get methods
+
+    def _get_put_statement(self, sync_id: str, file_uri: str) -> Tuple[text, dict]:
+        """Get Snowflake PUT statement."""
+        return (text(f"put '{file_uri}' '@~/target-snowflake/{sync_id}'"), {})
+
+    def _get_merge_from_stage_statement(
+        self, full_table_name, schema, sync_id, file_format, key_properties
+    ):
+        """Get Snowflake MERGE statement."""
+
+        # convert from case in JSON to UPPER column name
+        column_selections = [
+            f"$1:{property_name}::{self.to_sql_type(property_def)} as {property_name.upper()}"
+            for property_name, property_def in schema["properties"].items()
+        ]
+
+        # use UPPER from here onwards
+        upper_properties = [col.upper() for col in schema["properties"].keys()]
+        upper_key_properties = [col.upper() for col in key_properties]
+        join_expr = " and ".join(
+            [f'd."{key}" = s."{key}"' for key in upper_key_properties]
+        )
+        matched_clause = ", ".join(
+            [f'd."{col}" = s."{col}"' for col in upper_properties]
+        )
+        not_matched_insert_cols = ", ".join(upper_properties)
+        not_matched_insert_values = ", ".join(
+            [f's."{col}"' for col in upper_properties]
+        )
+        return (
+            text(
+                f"merge into {full_table_name} d using "
+                + f"(select {', '.join(column_selections)} from '@~/target-snowflake/{sync_id}'"
+                + f"(file_format => {file_format})) s "
+                + f"on {join_expr} "
+                + f"when matched then update set {matched_clause} "
+                + f"when not matched then insert ({not_matched_insert_cols}) "
+                + f"values ({not_matched_insert_values})"
+            ),
+            {},
+        )
+
+    def _get_copy_statement(self, full_table_name, schema, sync_id, file_format):
+        """Get Snowflake COPY statement."""
+        # convert from case in JSON to UPPER column name
+        column_selections = [
+            f"$1:{property_name}::{self.to_sql_type(property_def)} as {property_name.upper()}"
+            for property_name, property_def in schema["properties"].items()
+        ]
+        return (
+            text(
+                f"copy into {full_table_name} from "
+                + f"(select {', '.join(column_selections)} from "
+                + f"'@~/target-snowflake/{sync_id}')"
+                + f"file_format = (format_name='{file_format}')"
+            ),
+            {},
+        )
+
+    def _get_file_format_statement(self, file_format):
+        """Get Snowflake CREATE FILE FORMAT statement."""
+        return (
+            text(
+                f"create or replace file format {file_format}"
+                + "type = 'JSON' compression = 'GZIP'"
+            ),
+            {},
+        )
+
+    def _get_drop_file_format_statement(self, file_format):
+        """Get Snowflake DROP FILE FORMAT statement."""
+        return (
+            text(f"drop file format if exists {file_format}"),
+            {},
+        )
+
+    def _get_stage_files_remove_statement(self, sync_id):
+        """Get Snowflake REMOVE statement."""
+        return (
+            text(f"remove '@~/target-snowflake/{sync_id}/'"),
+            {},
+        )
+
+    # Custom connector methods
+
+    def put_batches_to_stage(self, sync_id: str, files: Sequence[str]) -> None:
+        """Upload a batch of records to Snowflake.
+
+        Args:
+            sync_id: The sync ID for the batch.
+            files: The files containing records to upload.
+        """
+        with self._connect() as conn:
+            for file_uri in files:
+                put_statement, kwargs = self._get_put_statement(
+                    sync_id=sync_id, file_uri=file_uri
+                )
+                conn.execute(put_statement, **kwargs)
+
+    def create_file_format(self, file_format: str) -> None:
+        """Create a file format in the schema.
+
+        Args:
+            file_format: The name of the file format.
+        """
+        with self._connect() as conn:
+            file_format_statement, kwargs = self._get_file_format_statement(
+                file_format=file_format
+            )
+            self.logger.debug(
+                f"Creating file format with SQL: {file_format_statement!s}"
+            )
+            conn.execute(file_format_statement, **kwargs)
+
+    def merge_from_stage(
+        self,
+        full_table_name: str,
+        schema: dict,
+        sync_id: str,
+        file_format: str,
+        key_properties: Sequence[str],
+    ):
+        """Merge data from a stage into a table.
+
+        Args:
+            sync_id: The sync ID for the batch.
+            schema: The schema of the data.
+            key_properties: The primary key properties of the data.
+        """
+        with self._connect() as conn:
+            merge_statement, kwargs = self._get_merge_from_stage_statement(
+                full_table_name=full_table_name,
+                schema=schema,
+                sync_id=sync_id,
+                file_format=file_format,
+                key_properties=key_properties,
+            )
+            self.logger.debug(f"Merging with SQL: {merge_statement!s}")
+            conn.execute(merge_statement, **kwargs)
+
+    def copy_from_stage(
+        self, full_table_name: str, schema: dict, sync_id: str, file_format: str
+    ):
+        """Copy data from a stage into a table.
+
+        Args:
+            full_table_name: The fully-qualified name of the table.
+            schema: The schema of the data.
+            sync_id: The sync ID for the batch.
+            file_format: The name of the file format.
+        """
+        with self._connect() as conn:
+            copy_statement, kwargs = self._get_copy_statement(
+                full_table_name=full_table_name,
+                schema=schema,
+                sync_id=sync_id,
+                file_format=file_format,
+            )
+            self.logger.debug(f"Copying with SQL: {copy_statement!s}")
+            conn.execute(copy_statement, **kwargs)
+
+    def drop_file_format(self, file_format: str) -> None:
+        """Drop a file format in the schema.
+
+        Args:
+            file_format: The name of the file format.
+        """
+        with self._connect() as conn:
+            drop_statement, kwargs = self._get_drop_file_format_statement(
+                file_format=file_format
+            )
+            self.logger.debug(f"Dropping file format with SQL: {drop_statement!s}")
+            conn.execute(drop_statement, **kwargs)
+
+    def remove_staged_files(self, sync_id: str) -> None:
+        """Remove staged files.
+
+        Args:
+            sync_id: The sync ID for the batch.
+        """
+        with self._connect() as conn:
+            remove_statement, kwargs = self._get_stage_files_remove_statement(
+                sync_id=sync_id
+            )
+            self.logger.debug(f"Removing staged files with SQL: {remove_statement!s}")
+            conn.execute(remove_statement, **kwargs)