from __future__ import annotations from sqlglot import exp, transforms from sqlglot.dialects.dialect import parse_date_delta, timestamptrunc_sql from sqlglot.dialects.spark import Spark from sqlglot.dialects.tsql import generate_date_delta_with_unit_sql from sqlglot.tokens import TokenType class Databricks(Spark): class Parser(Spark.Parser): LOG_DEFAULTS_TO_LN = True FUNCTIONS = { **Spark.Parser.FUNCTIONS, "DATEADD": parse_date_delta(exp.DateAdd), "DATE_ADD": parse_date_delta(exp.DateAdd), "DATEDIFF": parse_date_delta(exp.DateDiff), } FACTOR = { **Spark.Parser.FACTOR, TokenType.COLON: exp.JSONExtract, } class Generator(Spark.Generator): TRANSFORMS = { **Spark.Generator.TRANSFORMS, exp.DateAdd: generate_date_delta_with_unit_sql, exp.DateDiff: generate_date_delta_with_unit_sql, exp.DatetimeAdd: lambda self, e: self.func( "TIMESTAMPADD", e.text("unit"), e.expression, e.this ), exp.DatetimeSub: lambda self, e: self.func( "TIMESTAMPADD", e.text("unit"), exp.Mul(this=e.expression.copy(), expression=exp.Literal.number(-1)), e.this, ), exp.DatetimeDiff: lambda self, e: self.func( "TIMESTAMPDIFF", e.text("unit"), e.expression, e.this ), exp.DatetimeTrunc: timestamptrunc_sql, exp.JSONExtract: lambda self, e: self.binary(e, ":"), exp.Select: transforms.preprocess( [ transforms.eliminate_distinct_on, transforms.unnest_to_explode, ] ), exp.ToChar: lambda self, e: self.function_fallback_sql(e), } PARAMETER_TOKEN = "$" class Tokenizer(Spark.Tokenizer): HEX_STRINGS = [] SINGLE_TOKENS = { **Spark.Tokenizer.SINGLE_TOKENS, "$": TokenType.PARAMETER, }