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  • epub文档 Apache Kyuubi 1.7.1-rc0 Documentation

    from pyhive import hive import pandas as pd # open connection conn = hive.Connection(host=kyuubi_host,port=10009) # query the table to a new dataframe dataframe = pd.read_sql("SELECT id, name FROM test.example_table" for running Apache Spark on top of TiDB/TiKV to answer complex OLAP queries. It enjoys the merits of both the Spark platform and the distributed clusters of TiKV while seamlessly integrated to TiDB to provide kyuubi, we can run SQL queries towards TiDB/TiKV which is more convenient, easy to understand, and easy to expand than directly using spark to manipulate TiDB/TiKV. TiDB Integration To enable the integration
    0 码力 | 401 页 | 5.25 MB | 1 年前
    3

  • epub文档 Apache Kyuubi 1.7.0-rc0 Documentation

    from pyhive import hive import pandas as pd # open connection conn = hive.Connection(host=kyuubi_host,port=10009) # query the table to a new dataframe dataframe = pd.read_sql("SELECT id, name FROM test.example_table" for running Apache Spark on top of TiDB/TiKV to answer complex OLAP queries. It enjoys the merits of both the Spark platform and the distributed clusters of TiKV while seamlessly integrated to TiDB to provide kyuubi, we can run SQL queries towards TiDB/TiKV which is more convenient, easy to understand, and easy to expand than directly using spark to manipulate TiDB/TiKV. TiDB Integration To enable the integration
    0 码力 | 404 页 | 5.25 MB | 1 年前
    3

  • epub文档 Apache Kyuubi 1.7.0 Documentation

    from pyhive import hive import pandas as pd # open connection conn = hive.Connection(host=kyuubi_host,port=10009) # query the table to a new dataframe dataframe = pd.read_sql("SELECT id, name FROM test.example_table" for running Apache Spark on top of TiDB/TiKV to answer complex OLAP queries. It enjoys the merits of both the Spark platform and the distributed clusters of TiKV while seamlessly integrated to TiDB to provide kyuubi, we can run SQL queries towards TiDB/TiKV which is more convenient, easy to understand, and easy to expand than directly using spark to manipulate TiDB/TiKV. TiDB Integration To enable the integration
    0 码力 | 400 页 | 5.25 MB | 1 年前
    3

  • epub文档 Apache Kyuubi 1.7.0-rc1 Documentation

    from pyhive import hive import pandas as pd # open connection conn = hive.Connection(host=kyuubi_host,port=10009) # query the table to a new dataframe dataframe = pd.read_sql("SELECT id, name FROM test.example_table" for running Apache Spark on top of TiDB/TiKV to answer complex OLAP queries. It enjoys the merits of both the Spark platform and the distributed clusters of TiKV while seamlessly integrated to TiDB to provide kyuubi, we can run SQL queries towards TiDB/TiKV which is more convenient, easy to understand, and easy to expand than directly using spark to manipulate TiDB/TiKV. TiDB Integration To enable the integration
    0 码力 | 400 页 | 5.25 MB | 1 年前
    3

  • epub文档 Apache Kyuubi 1.6.1 Documentation

    for running Apache Spark on top of TiDB/TiKV to answer complex OLAP queries. It enjoys the merits of both the Spark platform and the distributed clusters of TiKV while seamlessly integrated to TiDB to provide kyuubi, we can run SQL queries towards TiDB/TiKV which is more convenient, easy to understand, and easy to expand than directly using spark to manipulate TiDB/TiKV. TiDB Integration To enable the integration activate functionality of TiSpark, we can set the following configurations: spark.tispark.pd.addresses $pd_host:$pd_port spark.sql.extensions org.apache.spark.sql.TiExtensions spark.sql.catalog.tidb_catalog
    0 码力 | 401 页 | 5.42 MB | 1 年前
    3

  • epub文档 Apache Kyuubi 1.6.0 Documentation

    for running Apache Spark on top of TiDB/TiKV to answer complex OLAP queries. It enjoys the merits of both the Spark platform and the distributed clusters of TiKV while seamlessly integrated to TiDB to provide kyuubi, we can run SQL queries towards TiDB/TiKV which is more convenient, easy to understand, and easy to expand than directly using spark to manipulate TiDB/TiKV. TiDB Integration To enable the integration activate functionality of TiSpark, we can set the following configurations: spark.tispark.pd.addresses $pd_host:$pd_port spark.sql.extensions org.apache.spark.sql.TiExtensions spark.sql.catalog.tidb_catalog
    0 码力 | 391 页 | 5.41 MB | 1 年前
    3

  • epub文档 Apache Kyuubi 1.7.2-rc0 Documentation

    from pyhive import hive import pandas as pd # open connection conn = hive.Connection(host=kyuubi_host,port=10009) # query the table to a new dataframe dataframe = pd.read_sql("SELECT id, name FROM test.example_table" for running Apache Spark on top of TiDB/TiKV to answer complex OLAP queries. It enjoys the merits of both the Spark platform and the distributed clusters of TiKV while seamlessly integrated to TiDB to provide kyuubi, we can run SQL queries towards TiDB/TiKV which is more convenient, easy to understand, and easy to expand than directly using spark to manipulate TiDB/TiKV. TiDB Integration To enable the integration
    0 码力 | 405 页 | 5.26 MB | 1 年前
    3

  • epub文档 Apache Kyuubi 1.7.2 Documentation

    from pyhive import hive import pandas as pd # open connection conn = hive.Connection(host=kyuubi_host,port=10009) # query the table to a new dataframe dataframe = pd.read_sql("SELECT id, name FROM test.example_table" for running Apache Spark on top of TiDB/TiKV to answer complex OLAP queries. It enjoys the merits of both the Spark platform and the distributed clusters of TiKV while seamlessly integrated to TiDB to provide kyuubi, we can run SQL queries towards TiDB/TiKV which is more convenient, easy to understand, and easy to expand than directly using spark to manipulate TiDB/TiKV. TiDB Integration To enable the integration
    0 码力 | 405 页 | 5.26 MB | 1 年前
    3

  • epub文档 Apache Kyuubi 1.9.0-SNAPSHOT Documentation

    pyhive import hive import pandas as pd # open connection conn = hive.Connection(host=kyuubi_host,port=10009) # query the table to a new dataframe dataframe = pd.read_sql("SELECT id, name FROM test.example_table" for running Apache Spark on top of TiDB/TiKV to answer complex OLAP queries. It enjoys the merits of both the Spark platform and the distributed clusters of TiKV while seamlessly integrated to TiDB to provide kyuubi, we can run SQL queries towards TiDB/TiKV which is more convenient, easy to understand, and easy to expand than directly using spark to manipulate TiDB/TiKV. TiDB Integration To enable the integration
    0 码力 | 405 页 | 4.96 MB | 1 年前
    3

  • epub文档 Apache Kyuubi 1.7.3 Documentation

    from pyhive import hive import pandas as pd # open connection conn = hive.Connection(host=kyuubi_host,port=10009) # query the table to a new dataframe dataframe = pd.read_sql("SELECT id, name FROM test.example_table" for running Apache Spark on top of TiDB/TiKV to answer complex OLAP queries. It enjoys the merits of both the Spark platform and the distributed clusters of TiKV while seamlessly integrated to TiDB to provide kyuubi, we can run SQL queries towards TiDB/TiKV which is more convenient, easy to understand, and easy to expand than directly using spark to manipulate TiDB/TiKV. TiDB Integration To enable the integration
    0 码力 | 405 页 | 5.26 MB | 1 年前
    3
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