scala spark version
GraphX can be viewed as being the Spark in-memory version of Apache Giraph, which utilized Hadoop disk-based MapReduce. Like Apache Spark, GraphX ... ,Note that, Spark is pre-built with Scala 2.11 except version 2.4.2, which is pre-built with Scala 2.12. Latest Preview Release. Preview releases, as the name ... ,Spark runs on Java 8+, Python 2.7+/3.4+ and R 3.1+. For the Scala API, Spark 2.2.0 uses Scala 2.11. You will need to use a compatible Scala version (2.11.x). ,You will need to use a compatible Scala version (2.11.x). Note that support for Java 7, Python 2.6 and old Hadoop versions before 2.6.5 were removed as of Spark ... ,You will need to use a compatible Scala version (2.11.x). Note that support for Java 7, Python 2.6 and old Hadoop versions before 2.6.5 were removed as of Spark ... ,You will need to use a compatible Scala version (2.12.x). Note that support for Java 7, Python 2.6 and old Hadoop versions before 2.6.5 were removed as of Spark ... ,Downloads are pre-packaged for a handful of popular Hadoop versions. Users can also download a “Hadoop free” binary and run Spark with any Hadoop version ... ,Apache Spark 2.3.0 is the fourth release in the 2.x line. This release adds support for Continuous Processing in Structured Streaming along with a brand new ... ,Apache Spark 2.4.0 is the fifth release in the 2.x line. This release adds Barrier Execution Mode for better integration with deep learning frameworks, introduces ... ,We strongly recommend all 2.4 users to upgrade to this stable release. Note that 2.4.3 switched the default Scala version from Scala 2.12 to Scala 2.11, which is ...
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 scala spark version 相關參考資料
Apache Spark - Wikipedia
GraphX can be viewed as being the Spark in-memory version of Apache Giraph, which utilized Hadoop disk-based MapReduce. Like Apache Spark, GraphX ... https://en.wikipedia.org Downloads | Apache Spark - Apache Software
Note that, Spark is pre-built with Scala 2.11 except version 2.4.2, which is pre-built with Scala 2.12. Latest Preview Release. Preview releases, as the name ... https://spark.apache.org Overview - Spark 2.2.0 Documentation - Apache Spark
Spark runs on Java 8+, Python 2.7+/3.4+ and R 3.1+. For the Scala API, Spark 2.2.0 uses Scala 2.11. You will need to use a compatible Scala version (2.11.x). https://spark.apache.org Overview - Spark 2.3.0 Documentation - Apache Spark
You will need to use a compatible Scala version (2.11.x). Note that support for Java 7, Python 2.6 and old Hadoop versions before 2.6.5 were removed as of Spark ... https://spark.apache.org Overview - Spark 2.4.0 Documentation - Apache Spark
You will need to use a compatible Scala version (2.11.x). Note that support for Java 7, Python 2.6 and old Hadoop versions before 2.6.5 were removed as of Spark ... https://spark.apache.org Overview - Spark 2.4.5 Documentation - Apache Spark
You will need to use a compatible Scala version (2.12.x). Note that support for Java 7, Python 2.6 and old Hadoop versions before 2.6.5 were removed as of Spark ... https://spark.apache.org Overview - Spark 3.0.0-preview Documentation - Apache Spark
Downloads are pre-packaged for a handful of popular Hadoop versions. Users can also download a “Hadoop free” binary and run Spark with any Hadoop version ... https://spark.apache.org Spark Release 2.3.0 | Apache Spark
Apache Spark 2.3.0 is the fourth release in the 2.x line. This release adds support for Continuous Processing in Structured Streaming along with a brand new ... https://spark.apache.org Spark Release 2.4.0 | Apache Spark
Apache Spark 2.4.0 is the fifth release in the 2.x line. This release adds Barrier Execution Mode for better integration with deep learning frameworks, introduces ... https://spark.apache.org Spark Release 2.4.3 | Apache Spark
We strongly recommend all 2.4 users to upgrade to this stable release. Note that 2.4.3 switched the default Scala version from Scala 2.12 to Scala 2.11, which is ... https://spark.apache.org |