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全部云计算&大数据(44)Apache Kyuubi(44)

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本次搜索耗时 0.049 秒，为您找到相关结果约 44 个.

  • pdf文档 Apache Kyuubi 1.3.0 Documentation

    1.3.0 4 Chapter 1. Multi-tenancy CHAPTER TWO EASE OF USE You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you serviceAccount permission). # create serviceAccount kubectl create serviceaccount spark -n # binding role kubectl create clusterrolebinding spark-role --clusterrole=edit --serviceaccount= ˓→:spark applications, or even ETL jobs only via the Hive JDBC module. You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you
    0 码力 | 129 页 | 6.15 MB | 1 年前
    3

  • pdf文档 Apache Kyuubi 1.3.1 Documentation

    1.3.0 4 Chapter 1. Multi-tenancy CHAPTER TWO EASE OF USE You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you serviceAccount permission). # create serviceAccount kubectl create serviceaccount spark -n # binding role kubectl create clusterrolebinding spark-role --clusterrole=edit --serviceaccount= ˓→:spark applications, or even ETL jobs only via the Hive JDBC module. You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you
    0 码力 | 129 页 | 6.16 MB | 1 年前
    3

  • epub文档 Apache Kyuubi 1.3.0 Documentation

    adoop-hdfs/HdfsDesign.html], with permissions. Ease of Use You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you serviceAccount permission). # create serviceAccount kubectl create serviceaccount spark -n # binding role kubectl create clusterrolebinding spark-role --clusterrole=edit -- serviceaccount=:spark [https://mvnrepository.com/artifact/org.apache.hive/hive-jdbc/2.3.7] module. You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you
    0 码力 | 199 页 | 4.42 MB | 1 年前
    3

  • epub文档 Apache Kyuubi 1.3.1 Documentation

    adoop-hdfs/HdfsDesign.html], with permissions. Ease of Use You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you serviceAccount permission). # create serviceAccount kubectl create serviceaccount spark -n # binding role kubectl create clusterrolebinding spark-role --clusterrole=edit -- serviceaccount=:spark [https://mvnrepository.com/artifact/org.apache.hive/hive-jdbc/2.3.7] module. You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you
    0 码力 | 199 页 | 4.44 MB | 1 年前
    3

  • pdf文档 Apache Kyuubi 1.4.1 Documentation

    1-incubating 4 Chapter 1. Multi-tenancy CHAPTER TWO EASE OF USE You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you serviceAccount permission). # create serviceAccount kubectl create serviceaccount spark -n # binding role kubectl create clusterrolebinding spark-role --clusterrole=edit --serviceaccount= ˓→:spark applications, or even ETL jobs only via the Hive JDBC module. You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you
    0 码力 | 148 页 | 6.26 MB | 1 年前
    3

  • pdf文档 Apache Kyuubi 1.4.0 Documentation

    1.3.0 4 Chapter 1. Multi-tenancy CHAPTER TWO EASE OF USE You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you serviceAccount permission). # create serviceAccount kubectl create serviceaccount spark -n # binding role kubectl create clusterrolebinding spark-role --clusterrole=edit --serviceaccount= ˓→:spark applications, or even ETL jobs only via the Hive JDBC module. You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you
    0 码力 | 148 页 | 6.26 MB | 1 年前
    3

  • pdf文档 Apache Kyuubi 1.5.0 Documentation

    0-incubating 4 Chapter 1. Multi-tenancy CHAPTER TWO EASE OF USE You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you serviceAccount permission). # create serviceAccount kubectl create serviceaccount spark -n # binding role kubectl create clusterrolebinding spark-role --clusterrole=edit --serviceaccount= ˓→:spark applications, or even ETL jobs only via the Hive JDBC module. You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you
    0 码力 | 172 页 | 6.94 MB | 1 年前
    3

  • epub文档 Apache Kyuubi 1.4.1 Documentation

    adoop-hdfs/HdfsDesign.html], with permissions. Ease of Use You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you serviceAccount permission). # create serviceAccount kubectl create serviceaccount spark -n # binding role kubectl create clusterrolebinding spark-role --clusterrole=edit -- serviceaccount=:spark [https://mvnrepository.com/artifact/org.apache.hive/hive-jdbc/2.3.9] module. You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you
    0 码力 | 233 页 | 4.62 MB | 1 年前
    3

  • pdf文档 Apache Kyuubi 1.5.1 Documentation

    1-incubating 4 Chapter 1. Multi-tenancy CHAPTER TWO EASE OF USE You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you serviceAccount permission). # create serviceAccount kubectl create serviceaccount spark -n # binding role kubectl create clusterrolebinding spark-role --clusterrole=edit --serviceaccount= ˓→:spark applications, or even ETL jobs only via the Hive JDBC module. You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you
    0 码力 | 172 页 | 6.94 MB | 1 年前
    3

  • epub文档 Apache Kyuubi 1.4.0 Documentation

    adoop-hdfs/HdfsDesign.html], with permissions. Ease of Use You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you serviceAccount permission). # create serviceAccount kubectl create serviceaccount spark -n # binding role kubectl create clusterrolebinding spark-role --clusterrole=edit -- serviceaccount=:spark [https://mvnrepository.com/artifact/org.apache.hive/hive-jdbc/2.3.9] module. You only need to be familiar with Structured Query Language (SQL) and Java Database Connectivity (JDBC) to handle massive data. It helps you
    0 码力 | 233 页 | 4.62 MB | 1 年前
    3
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