superset/db_engine_specs/spark.py

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from __future__ import annotations

from superset.constants import TimeGrain
from superset.db_engine_specs.hive import HiveEngineSpec

time_grain_expressions: dict[str | None, str] = {
    None: "{col}",
    TimeGrain.SECOND: "date_trunc('second', {col})",
    TimeGrain.MINUTE: "date_trunc('minute', {col})",
    TimeGrain.HOUR: "date_trunc('hour', {col})",
    TimeGrain.DAY: "date_trunc('day', {col})",
    TimeGrain.WEEK: "date_trunc('week', {col})",
    TimeGrain.MONTH: "date_trunc('month', {col})",
    TimeGrain.QUARTER: "date_trunc('quarter', {col})",
    TimeGrain.YEAR: "date_trunc('year', {col})",
    TimeGrain.WEEK_ENDING_SATURDAY: (
        "date_trunc('week', {col} + interval '1 day') + interval '5 days'"
    ),
    TimeGrain.WEEK_STARTING_SUNDAY: (
        "date_trunc('week', {col} + interval '1 day') - interval '1 day'"
    ),
}


class SparkEngineSpec(HiveEngineSpec):
    _time_grain_expressions = time_grain_expressions
    engine_name = "Apache Spark SQL"