scala spark version

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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 ...

相關軟體 Spark 資訊

Spark
Spark 是針對企業和組織優化的 Windows PC 的開源,跨平台 IM 客戶端。它具有內置的群聊支持,電話集成和強大的安全性。它還提供了一個偉大的最終用戶體驗,如在線拼寫檢查,群聊室書籤和選項卡式對話功能。Spark 是一個功能齊全的即時消息(IM)和使用 XMPP 協議的群聊客戶端。 Spark 源代碼由 GNU 較寬鬆通用公共許可證(LGPL)管理,可在此發行版的 LICENSE.ht... Spark 軟體介紹

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