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Should set version explicitly to fix CWE-601. -# However, tornado requires Python 3.8+ so can't upgrade yet. -# tornado = "^6.3.2" -# Not directly depending on cryptography. Should set version explicitly to fix CWE-295. -cryptography="^41.0.3" +pytest = "8.3.3" +pandas = ">=1.5.3,<2.0.0" +numpy = ">=1.26.4,<2.0.0" +jupyter = "1.1.1" +sparkmagic = "0.21.0" +boto3 = "1.35.19" +safety = "3.2.7" +# Not directly depending on tornado. Set version explicitly to fix CWE-601. +tornado = ">=6.3.2" +# Not directly depending on cryptography. Set version explicitly to fix CWE-295. +cryptography=">=41.0.3" [tool.poetry-dynamic-versioning] enable = true diff --git a/python/rovio_ingest/extensions/dataframe_extension.py b/python/rovio_ingest/extensions/dataframe_extension.py index a823c61..3df759d 100644 --- a/python/rovio_ingest/extensions/dataframe_extension.py +++ b/python/rovio_ingest/extensions/dataframe_extension.py @@ -53,10 +53,17 @@ class ConfKeys: def repartition_by_druid_segment_size(self, time_col_name, segment_granularity='DAY', rows_per_segment=5000000, exclude_columns_with_unknown_types=False): - _jdf = self.sql_ctx._sc._jvm.com.rovio.ingest.extensions.java.DruidDatasetExtensions \ + _jdf = spark_session_or_sql_ctx(self)._sc._jvm.com.rovio.ingest.extensions.java.DruidDatasetExtensions \ .repartitionByDruidSegmentSize(self._jdf, time_col_name, segment_granularity, rows_per_segment, exclude_columns_with_unknown_types) - return DataFrame(_jdf, self.sql_ctx) + return DataFrame(_jdf, spark_session_or_sql_ctx(self)) + + +def spark_session_or_sql_ctx(df: DataFrame): + if hasattr(df, 'sparkSession'): + return df.sparkSession + # backward compatibility for older spark versions + return df.sql_ctx def normalize_date(spark: SparkSession, value: datetime, granularity: str) -> datetime: diff --git a/python/tests/spark_session.py b/python/tests/spark_session.py index d66c38e..3607851 100644 --- a/python/tests/spark_session.py +++ b/python/tests/spark_session.py @@ -45,7 +45,7 @@ def _rovio_ingest_classpath() -> str: Note that pyspark 2.4.4 comes with spark jars with specific scala version, for example: - mleap/python/venv/lib/python3.7/site-packages/pyspark/jars/spark-core_2.11-2.4.4.jar + rovio-ingest/python/venv/lib/python3.9/site-packages/pyspark/jars/spark-core_2.11-2.4.4.jar Thus, pyspark is incompatible with scala 2.12 and only works with scala 2.11. diff --git a/src/test/scala/com/rovio/ingest/DruidDatasetExtensionsAzureSpec.scala b/src/test/scala/com/rovio/ingest/DruidDatasetExtensionsAzureSpec.scala index c0b354f..8909f94 100644 --- a/src/test/scala/com/rovio/ingest/DruidDatasetExtensionsAzureSpec.scala +++ b/src/test/scala/com/rovio/ingest/DruidDatasetExtensionsAzureSpec.scala @@ -48,7 +48,7 @@ class DruidDatasetExtensionsAzureSpec extends AnyFlatSpec with Matchers with Bef lazy val spark: SparkSession = { SparkSession.builder() - .appName("Spark/MLeap Parity Tests") + .appName(getClass.getName) .config("spark.sql.session.timeZone", "UTC") .config("spark.driver.bindAddress", "127.0.0.1") .master("local[2]") diff --git a/src/test/scala/com/rovio/ingest/DruidDatasetExtensionsSpec.scala b/src/test/scala/com/rovio/ingest/DruidDatasetExtensionsSpec.scala index fbf3f30..b463e5d 100644 --- a/src/test/scala/com/rovio/ingest/DruidDatasetExtensionsSpec.scala +++ b/src/test/scala/com/rovio/ingest/DruidDatasetExtensionsSpec.scala @@ -52,7 +52,7 @@ class DruidDatasetExtensionsSpec extends AnyFlatSpec with Matchers with BeforeAn lazy val spark: SparkSession = { SparkSession.builder() - .appName("Spark/MLeap Parity Tests") + .appName(getClass.getName) .config("spark.sql.session.timeZone", "UTC") .config("spark.driver.bindAddress", "127.0.0.1") .master("local[2]")