HyukjinKwon commented on code in PR #46096: URL: https://github.com/apache/spark/pull/46096#discussion_r1569712898
########## python/docs/source/getting_started/install.rst: ########## @@ -165,16 +168,109 @@ To install PySpark from source, refer to |building_spark|_. Dependencies ------------ -========================== ========================= ====================================================================================== -Package Supported version Note -========================== ========================= ====================================================================================== -`py4j` >=0.10.9.7 Required -`pandas` >=1.4.4 Required for pandas API on Spark and Spark Connect; Optional for Spark SQL -`pyarrow` >=10.0.0 Required for pandas API on Spark and Spark Connect; Optional for Spark SQL -`numpy` >=1.21 Required for pandas API on Spark and MLLib DataFrame-based API; Optional for Spark SQL -`grpcio` >=1.62.0 Required for Spark Connect -`grpcio-status` >=1.62.0 Required for Spark Connect -`googleapis-common-protos` >=1.56.4 Required for Spark Connect -========================== ========================= ====================================================================================== + +Required dependencies +~~~~~~~~~~~~~~~~~~~~~ + +PySpark requires the following dependencies. + +========================== ========================= ======================= +Package Supported version Note +========================== ========================= ======================= +`py4j` >=0.10.9.7 Used to interact to JVM +========================== ========================= ======================= + +Additional libraries that enhance functionality but are not included in the installation packages: + +- **memory-profiler**: Used for PySpark UDF memory profiling, ``spark.profile.show(...)`` and ``spark.sql.pyspark.udf.profiler``. Note that PySpark requires Java 17 or later with ``JAVA_HOME`` properly set and refer to |downloading|_. + + +.. _optional-dependencies: + +Optional dependencies +~~~~~~~~~~~~~~~~~~~~~ + +PySpark has several optional dependencies that enhance its functionality for specific modules. +These dependencies are only required for certain features and are not necessary for the basic functionality of PySpark. +If these optional dependencies are not installed, PySpark will function correctly for basic operations but will raise an ``ImportError`` +when you try to use features that require these dependencies. + +Spark Connect +^^^^^^^^^^^^^ + +Installable with ``pip install "pyspark[connect]"``. + +========================== ================= ==================================================================== +Package Supported version Note +========================== ================= ==================================================================== +`pandas` >=1.4.4 Required for Spark Connect. +`pyarrow` >=10.0.0 Crucial for data serialization and network communication efficiency. Review Comment: ```suggestion `pyarrow` >=10.0.0 Used for data serialization and network communication efficiency. ``` ########## python/docs/source/getting_started/install.rst: ########## @@ -165,16 +168,109 @@ To install PySpark from source, refer to |building_spark|_. Dependencies ------------ -========================== ========================= ====================================================================================== -Package Supported version Note -========================== ========================= ====================================================================================== -`py4j` >=0.10.9.7 Required -`pandas` >=1.4.4 Required for pandas API on Spark and Spark Connect; Optional for Spark SQL -`pyarrow` >=10.0.0 Required for pandas API on Spark and Spark Connect; Optional for Spark SQL -`numpy` >=1.21 Required for pandas API on Spark and MLLib DataFrame-based API; Optional for Spark SQL -`grpcio` >=1.62.0 Required for Spark Connect -`grpcio-status` >=1.62.0 Required for Spark Connect -`googleapis-common-protos` >=1.56.4 Required for Spark Connect -========================== ========================= ====================================================================================== + +Required dependencies +~~~~~~~~~~~~~~~~~~~~~ + +PySpark requires the following dependencies. + +========================== ========================= ======================= +Package Supported version Note +========================== ========================= ======================= +`py4j` >=0.10.9.7 Used to interact to JVM +========================== ========================= ======================= + +Additional libraries that enhance functionality but are not included in the installation packages: + +- **memory-profiler**: Used for PySpark UDF memory profiling, ``spark.profile.show(...)`` and ``spark.sql.pyspark.udf.profiler``. Note that PySpark requires Java 17 or later with ``JAVA_HOME`` properly set and refer to |downloading|_. + + +.. _optional-dependencies: + +Optional dependencies +~~~~~~~~~~~~~~~~~~~~~ + +PySpark has several optional dependencies that enhance its functionality for specific modules. +These dependencies are only required for certain features and are not necessary for the basic functionality of PySpark. +If these optional dependencies are not installed, PySpark will function correctly for basic operations but will raise an ``ImportError`` +when you try to use features that require these dependencies. + +Spark Connect +^^^^^^^^^^^^^ + +Installable with ``pip install "pyspark[connect]"``. + +========================== ================= ==================================================================== +Package Supported version Note +========================== ================= ==================================================================== +`pandas` >=1.4.4 Required for Spark Connect. +`pyarrow` >=10.0.0 Crucial for data serialization and network communication efficiency. +`grpcio` >=1.62.0 Necessary for implementing RPC functionalities in Spark Connect. Review Comment: ```suggestion `grpcio` >=1.62.0 Used for implementing RPC functionalities in Spark Connect. ``` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
