2.1 Planning Your Installation

To plan the installation of GoldenGate Stream Analytics (GGSA) 19.1.0.0.* efficiently, ensure that you have the required hardware and software. You should also perform the prerequisite procedures before starting the installation process.

You can use the information in the certification matrix before installing GoldenGate Stream Analytics 19.1.0.0.*. The certification matrix provides you useful links to support pages, supported software, and system requirements in general. The following software is required for operation of GGSA:

  • Oracle JDK 8 Update 131 and higher versions

  • Repository Database

    • Oracle Database versions 12.2.0.1 or higher, 12.1.0.1 or higher, and 11.2.0.4 or higher

    • Else, you can use MySQL version 5.6 or 5.7

  • A running Kafka cluster:
    • Version 0.10.2 to 2.2.1 for releases 19.1.0.0.1 to 19.1.0.0.7.
    • Version 0.10.2 to 3.4.0 for release 19.1.0.0.8.
    • Versions 3.2.0 to 3.7.0 for release 19.1.0.0.9.

  • Locally installed Spark Libraries. GGSA does not package the Spark client libraries, so you will also need locally installed Spark:

    For releases 19.1.0.0.0 to 19.1.0.0.7:

    • Spark release: 2.4.3

    • Package type: Pre-built for Apache Hadoop 2.7 and later

    • Download Spark: spark-2.4.3-bin-hadoop2.7.tgz

    For release 19.1.0.0.8:

    • Spark release: 3.4.0

    • Package type: Pre-built for Apache Hadoop 3.3 and later

    • Download Spark: spark-3.4.0-bin-hadoop3.tgz

    For release 19.1.0.0.9:
    Spark Release Package Type Download Spark Kafka Compatibility
    3.4.0 Pre-built for Apache Hadoop 3.3 and later

    spark-3.4.0-bin-hadoop3.tgz
    • Kafka 3.7.0 works with Spark standalone, Yarn 3.3.6, Yarn 3.3.4, Yarn 2.7.1
    • Kafka 3.6.1 works with Spark standalone, Yarn 3.3.6, Yarn 3.3.4, Yarn 2.7.1
    • Kafka 3.5.1 works with Spark standalone, Yarn 3.3.6, Yarn 3.3.4, Yarn 2.7.1
    • Kafka 3.2.0 works with Spark standalone, Yarn 3.3.6, Yarn 3.3.4
    3.5.0 Pre-built for Apache Hadoop 3.3 and later spark-3.5.0-bin-hadoop3.tgz
    • Kafka 3.7.0 works with Spark standalone, Yarn 3.3.6, Yarn 3.3.4, Yarn 2.7.1
    • Kafka 3.6.1 works with Spark standalone, Yarn 3.3.6, Yarn 3.3.4, Yarn 2.7.1
    • Kafka 3.5.1 works with Spark standalone, Yarn 3.3.6, Yarn 3.3.4, Yarn 2.7.1
    • Kafka 3.2.0 works with Spark standalone, Yarn 3.3.6, Yarn 3.3.4
    For release 19.1.0.0.10:
    Spark Release Package Type Download Spark Kafka Compatibility
    3.5.0 Pre-built for Apache Hadoop 3.3.5 and later spark-3.5.0-bin-hadoop3.tgz
    • Kafka 3.7.0 works with Spark standalone, Yarn 3.3.6, Yarn 3.3.4, Yarn 2.7.1
    • Kafka 3.6.1 works with Spark standalone, Yarn 3.3.6, Yarn 3.3.4, Yarn 2.7.1
    • Kafka 3.5.1 works with Spark standalone, Yarn 3.3.6, Yarn 3.3.4, Yarn 2.7.1
    • Kafka 3.2.0 works with Spark standalone, Yarn 3.3.6, Yarn 3.3.4
    For release 19.1.0.0.11:
    Spark Release Package Type Download Spark Kafka Compatibility
    3.5.4 Pre-built for Apache Hadoop 3.3.5 and later spark-3.5.4-bin-hadoop3.tgz
    • Kafka 3.7.0 works with Spark standalone, Yarn 3.3.6, Yarn 3.3.4, Yarn 2.7.1
    • Kafka 3.6.1 works with Spark standalone, Yarn 3.3.6, Yarn 3.3.4, Yarn 2.7.1
    • Kafka 3.5.1 works with Spark standalone, Yarn 3.3.6, Yarn 3.3.4, Yarn 2.7.1
    • Kafka 3.2.0 works with Spark standalone, Yarn 3.3.6, Yarn 3.3.4

  • Note:

    Install Spark and JDK in the same node on which you plan to install Oracle Stream Analytics. See Installing GoldenGate Stream Analytics.

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