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88 lines
3.0 KiB
Python
88 lines
3.0 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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from __future__ import annotations
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from datetime import datetime
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from typing import Any, TYPE_CHECKING
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from sqlalchemy import types
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from superset.constants import TimeGrain
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from superset.db_engine_specs.base import BaseEngineSpec
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from superset.utils.core import QuerySource
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if TYPE_CHECKING:
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from superset.connectors.sqla.models import TableColumn
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from superset.models.core import Database
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class ParseableEngineSpec(BaseEngineSpec):
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"""Engine spec for Parseable log analytics database."""
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engine = "parseable"
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engine_name = "Parseable"
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_time_grain_expressions = {
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None: "{col}",
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TimeGrain.SECOND: "date_trunc('second', {col})",
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TimeGrain.MINUTE: "date_trunc('minute', {col})",
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TimeGrain.HOUR: "date_trunc('hour', {col})",
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TimeGrain.DAY: "date_trunc('day', {col})",
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TimeGrain.WEEK: "date_trunc('week', {col})",
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TimeGrain.MONTH: "date_trunc('month', {col})",
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TimeGrain.QUARTER: "date_trunc('quarter', {col})",
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TimeGrain.YEAR: "date_trunc('year', {col})",
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}
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@classmethod
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def epoch_to_dttm(cls) -> str:
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return "to_timestamp({col})"
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@classmethod
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def epoch_ms_to_dttm(cls) -> str:
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return "to_timestamp({col} / 1000)"
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@classmethod
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def convert_dttm(
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cls, target_type: str, dttm: datetime, db_extra: dict[str, Any] | None = None
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) -> str | None:
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sqla_type = cls.get_sqla_column_type(target_type)
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if isinstance(sqla_type, types.TIMESTAMP):
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return f"'{dttm.strftime('%Y-%m-%dT%H:%M:%S.000')}'"
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return None
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@classmethod
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def alter_new_orm_column(cls, orm_col: TableColumn) -> None:
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"""Handle p_timestamp column specifically for Parseable."""
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if orm_col.column_name == "p_timestamp":
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orm_col.python_date_format = "epoch_ms"
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orm_col.is_dttm = True
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@classmethod
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def get_extra_params(
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cls, database: Database, source: QuerySource | None = None
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) -> dict[str, Any]:
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"""Additional parameters for Parseable connections."""
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return {
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"engine_params": {
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"connect_args": {
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"timeout": 300, # 5 minutes timeout
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}
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}
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}
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