superset pinot 源码

superset pinot 代码

文件路径：/superset/db_engine_specs/pinot.py

# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
from typing import Dict, Optional

from sqlalchemy.sql.expression import ColumnClause

from superset.db_engine_specs.base import BaseEngineSpec, TimestampExpression


class PinotEngineSpec(BaseEngineSpec):  # pylint: disable=abstract-method
    engine = "pinot"
    engine_name = "Apache Pinot"
    allows_subqueries = False
    allows_joins = False
    allows_alias_in_select = False
    allows_alias_in_orderby = False

    # Pinot does its own conversion below
    _time_grain_expressions: Dict[Optional[str], str] = {
        "PT1S": "1:SECONDS",
        "PT1M": "1:MINUTES",
        "PT5M": "5:MINUTES",
        "PT10M": "10:MINUTES",
        "PT15M": "15:MINUTES",
        "PT30M": "30:MINUTES",
        "PT1H": "1:HOURS",
        "P1D": "1:DAYS",
        "P1W": "week",
        "P1M": "month",
        "P3MY": "quarter",
        "P1Y": "year",
    }

    _python_to_java_time_patterns: Dict[str, str] = {
        "%Y": "yyyy",
        "%m": "MM",
        "%d": "dd",
        "%H": "HH",
        "%M": "mm",
        "%S": "ss",
    }

    _use_date_trunc_function: Dict[str, bool] = {
        "PT1S": False,
        "PT1M": False,
        "PT5M": False,
        "PT10M": False,
        "PT15M": False,
        "PT30M": False,
        "PT1H": False,
        "P1D": False,
        "P1W": True,
        "P1M": True,
        "P3M": True,
        "P1Y": True,
    }

    @classmethod
    def get_timestamp_expr(
        cls,
        col: ColumnClause,
        pdf: Optional[str],
        time_grain: Optional[str],
    ) -> TimestampExpression:
        if not pdf:
            raise NotImplementedError(f"Empty date format for '{col}'")
        is_epoch = pdf in ("epoch_s", "epoch_ms")

        # The DATETIMECONVERT pinot udf is documented at
        # Per https://github.com/apache/incubator-pinot/wiki/dateTimeConvert-UDF
        # We are not really converting any time units, just bucketing them.
        tf = ""
        java_date_format = ""
        if not is_epoch:
            java_date_format = pdf
            for (
                python_pattern,
                java_pattern,
            ) in cls._python_to_java_time_patterns.items():
                java_date_format = java_date_format.replace(
                    python_pattern, java_pattern
                )
            tf = f"1:SECONDS:SIMPLE_DATE_FORMAT:{java_date_format}"
        else:
            seconds_or_ms = "MILLISECONDS" if pdf == "epoch_ms" else "SECONDS"
            tf = f"1:{seconds_or_ms}:EPOCH"
        if time_grain:
            granularity = cls.get_time_grain_expressions().get(time_grain)
            if not granularity:
                raise NotImplementedError(f"No pinot grain spec for '{time_grain}'")
        else:
            return TimestampExpression("{{col}}", col)

        # In pinot the output is a string since there is no timestamp column like pg
        if cls._use_date_trunc_function.get(time_grain):
            if is_epoch:
                time_expr = f"DATETRUNC('{granularity}', {{col}}, '{seconds_or_ms}')"
            else:
                time_expr = (
                    f"ToDateTime(DATETRUNC('{granularity}', "
                    + f"FromDateTime({{col}}, '{java_date_format}'), "
                    + f"'MILLISECONDS'), '{java_date_format}')"
                )
        else:
            time_expr = f"DATETIMECONVERT({{col}}, '{tf}', '{tf}', '{granularity}')"

        return TimestampExpression(time_expr, col)

相关信息

superset 源码目录

相关文章

superset init 源码

superset ascend 源码

superset athena 源码

superset aurora 源码

superset base 源码

superset bigquery 源码

superset clickhouse 源码

superset cockroachdb 源码

superset crate 源码

superset databricks 源码