diff --git a/docs/delta.md b/docs/delta.md index d821188..7ca2b13 100644 --- a/docs/delta.md +++ b/docs/delta.md @@ -11,7 +11,7 @@ builder = ( SparkSession.builder.config( "spark.sql.extensions", "io.delta.sql.DeltaSparkSessionExtension" ) - .config("spark.jars.packages", "io.delta:delta-core_2.12:2.4.0") + .config("spark.jars.packages", "io.delta:delta-spark_2.12:3.0.0") .config( "spark.sql.catalog.spark_catalog", "org.apache.spark.sql.delta.catalog.DeltaCatalog", diff --git a/poetry.lock b/poetry.lock index c37e70f..60073fc 100644 --- a/poetry.lock +++ b/poetry.lock @@ -49,30 +49,25 @@ astroid = ["astroid (>=1,<2)", "astroid (>=2,<4)"] test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"] [[package]] -name = "astunparse" -version = "1.6.3" -description = "An AST unparser for Python" +name = "beautifulsoup4" +version = "4.12.3" +description = "Screen-scraping library" optional = false -python-versions = "*" +python-versions = ">=3.6.0" files = [ - {file = 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pytest-mock = "3.10.0" coverage = "7.2.5" pyspark = "^3.0.0" +pandas = "1.5.3" +numpy = "1.26.4" +pyarrow = "7.0.0" +grpcio = "1.48.1" +google = "3.0.0" +protobuf = "4.21.12" mypy = "1.3.0" mkdocs = "1.4.3" prospector = "1.10.0" diff --git a/spark_expectations/core/__init__.py b/spark_expectations/core/__init__.py index fb979da..2703797 100644 --- a/spark_expectations/core/__init__.py +++ b/spark_expectations/core/__init__.py @@ -13,7 +13,7 @@ def get_spark_session() -> SparkSession: SparkSession.builder.config( "spark.sql.extensions", "io.delta.sql.DeltaSparkSessionExtension" ) - .config("spark.jars.packages", "io.delta:delta-core_2.12:2.4.0") + .config("spark.jars.packages", "io.delta:delta-spark_2.12:3.0.0") .config( "spark.sql.catalog.spark_catalog", "org.apache.spark.sql.delta.catalog.DeltaCatalog", diff --git a/spark_expectations/core/expectations.py b/spark_expectations/core/expectations.py index c618b15..e457504 100644 --- a/spark_expectations/core/expectations.py +++ b/spark_expectations/core/expectations.py @@ -1,8 +1,15 @@ import functools from dataclasses import dataclass from typing import Dict, Optional, Any, Union +import packaging.version as package_version +from pyspark import version as spark_version from pyspark import StorageLevel from pyspark.sql import DataFrame, SparkSession + +try: + from pyspark.sql.connect.dataframe import DataFrame as connectDataFrame +except ImportError: + pass from spark_expectations import _log from spark_expectations.config.user_config import Constants as user_config from spark_expectations.core.context import SparkExpectationsContext @@ -22,6 +29,14 @@ from spark_expectations.utils.regulate_flow import SparkExpectationsRegulateFlow +min_spark_version_for_connect = "3.4.0" +installed_spark_version = spark_version.__version__ +is_spark_connect_supported = bool( + package_version.parse(installed_spark_version) + >= package_version.parse(min_spark_version_for_connect) +) + + @dataclass class SparkExpectations: """ @@ -45,7 +60,13 @@ class SparkExpectations: stats_streaming_options: Optional[Dict[str, Union[str, bool]]] = None def __post_init__(self) -> None: - if isinstance(self.rules_df, DataFrame): + # Databricks runtime 14 and above could pass either instance of a Dataframe depending on how data was read + if ( + is_spark_connect_supported is True + and isinstance(self.rules_df, (DataFrame, connectDataFrame)) + ) or ( + is_spark_connect_supported is False and isinstance(self.rules_df, DataFrame) + ): try: self.spark: Optional[SparkSession] = self.rules_df.sparkSession except AttributeError: @@ -55,10 +76,12 @@ def __post_init__(self) -> None: raise SparkExpectationsMiscException( "Spark session is not available, please initialize a spark session before calling SE" ) + else: raise SparkExpectationsMiscException( "Input rules_df is not of dataframe type" ) + self.actions: SparkExpectationsActions = SparkExpectationsActions() self._context: SparkExpectationsContext = SparkExpectationsContext( product_id=self.product_id, spark=self.spark @@ -353,7 +376,13 @@ def wrapper(*args: tuple, **kwargs: dict) -> DataFrame: self._context.get_run_id, ) - if isinstance(_df, DataFrame): + if ( + is_spark_connect_supported is True + and isinstance(_df, (DataFrame, connectDataFrame)) + ) or ( + is_spark_connect_supported is False + and isinstance(_df, DataFrame) + ): _log.info("The function dataframe is created") self._context.set_table_name(table_name) if write_to_temp_table: diff --git a/spark_expectations/examples/base_setup.py b/spark_expectations/examples/base_setup.py index d16e259..3527b0d 100644 --- a/spark_expectations/examples/base_setup.py +++ b/spark_expectations/examples/base_setup.py @@ -126,7 +126,7 @@ def set_up_delta() -> SparkSession: SparkSession.builder.config( "spark.sql.extensions", "io.delta.sql.DeltaSparkSessionExtension" ) - .config("spark.jars.packages", "io.delta:delta-core_2.12:2.4.0") + .config("spark.jars.packages", "io.delta:delta-spark_2.12:3.0.0") .config( "spark.sql.catalog.spark_catalog", "org.apache.spark.sql.delta.catalog.DeltaCatalog", diff --git a/tests/core/test_expectations.py b/tests/core/test_expectations.py index f17ee18..52e4fb5 100644 --- a/tests/core/test_expectations.py +++ b/tests/core/test_expectations.py @@ -5,6 +5,13 @@ from unittest.mock import patch import pytest from pyspark.sql import DataFrame, SparkSession + + +try: + from pyspark.sql.connect.dataframe import DataFrame as connectDataFrame +except ImportError: + pass + from pyspark.sql.functions import lit, to_timestamp, col from pyspark.sql.types import StringType, IntegerType, StructField, StructType