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07a76f83b1
* Create query_obj for every filter * Deprecate is_prequery and prequeries from query_obj * Fix tests * Fix typos and remove redundant ; from sql * Add typing to namedtuples and move all query str logic to one place * Fix unit test
74 lines
2.9 KiB
Python
74 lines
2.9 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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# pylint: disable=C,R,W
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from typing import Dict, Optional
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from sqlalchemy.sql.expression import ColumnClause
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from superset.db_engine_specs.base import BaseEngineSpec, TimestampExpression
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class PinotEngineSpec(BaseEngineSpec):
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engine = "pinot"
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allows_subqueries = False
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allows_joins = False
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allows_column_aliases = False
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# Pinot does its own conversion below
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time_grain_functions: Dict[Optional[str], str] = {
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"PT1S": "1:SECONDS",
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"PT1M": "1:MINUTES",
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"PT1H": "1:HOURS",
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"P1D": "1:DAYS",
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"P1W": "1:WEEKS",
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"P1M": "1:MONTHS",
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"P0.25Y": "3:MONTHS",
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"P1Y": "1:YEARS",
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}
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@classmethod
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def get_timestamp_expr(
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cls, col: ColumnClause, pdf: Optional[str], time_grain: Optional[str]
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) -> TimestampExpression:
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is_epoch = pdf in ("epoch_s", "epoch_ms")
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if not is_epoch:
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raise NotImplementedError("Pinot currently only supports epochs")
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# The DATETIMECONVERT pinot udf is documented at
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# Per https://github.com/apache/incubator-pinot/wiki/dateTimeConvert-UDF
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# We are not really converting any time units, just bucketing them.
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seconds_or_ms = "MILLISECONDS" if pdf == "epoch_ms" else "SECONDS"
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tf = f"1:{seconds_or_ms}:EPOCH"
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granularity = cls.time_grain_functions.get(time_grain)
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if not granularity:
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raise NotImplementedError("No pinot grain spec for " + str(time_grain))
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# In pinot the output is a string since there is no timestamp column like pg
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time_expr = f'DATETIMECONVERT({{col}}, "{tf}", "{tf}", "{granularity}")'
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return TimestampExpression(time_expr, col)
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@classmethod
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def make_select_compatible(cls, groupby_exprs, select_exprs):
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# Pinot does not want the group by expr's to appear in the select clause
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select_sans_groupby = []
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# We want identity and not equality, so doing the filtering manually
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for s in select_exprs:
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for gr in groupby_exprs:
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if s is gr:
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break
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else:
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select_sans_groupby.append(s)
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return select_sans_groupby
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