performance issues when using MySQL 5.7 as the metastore backend due to the lack of support for mixed order index. See more details at KYUUBI #5329. bool ean 1.8.0 kyuubi.metadata.st ore.jdbc.url jdbc:sqlite: timestamp Long from The start index to fetch batches Int size Number of batches to fetch, 100 by default Int Response Body Name Description Type from The start index of fetched batches Int total Number The name of the column String dataType The type descriptor for this column String columnIndex The index of this column in the schema Int precision The precision of the column Int scale The scale of the

performance issues when using MySQL 5.7 as the metastore backend due to the lack of support for mixed order index. See more details at KYUUBI #5329. bool ean 1.8.0 kyuubi.metadata.st ore.jdbc.url jdbc:sqlite: timestamp Long from The start index to fetch batches Int size Number of batches to fetch, 100 by default Int Response Body Name Description Type from The start index of fetched batches Int total Number The name of the column String dataType The type descriptor for this column String columnIndex The index of this column in the schema Int precision The precision of the column Int scale The scale of the

performance issues when using MySQL 5.7 as the metastore backend due to the lack of support for mixed order index. See more details at KYUUBI #5329. bool ean 1.8.0 kyuubi.metadata.st ore.jdbc.url jdbc:sqlite: timestamp Long from The start index to fetch batches Int size Number of batches to fetch, 100 by default Int Response Body Name Description Type from The start index of fetched batches Int total Number The name of the column String dataType The type descriptor for this column String columnIndex The index of this column in the schema Int precision The precision of the column Int scale The scale of the

timestamp Long from The start index to fetch batches Int size Number of batches to fetch, 100 by default Int Response Body Name Description Type from The start index of fetched batches Int total Number The name of the column String dataType The type descriptor for this column String columnIndex The index of this column in the schema Int precision The precision of the column Int scale The scale of the password='password', auth='CUSTOM') PySpark PySpark [https://spark.apache.org/docs/latest/api/python/index.html] is an interface for Apache Spark in Python. Kyuubi can be used as JDBC source in PySpark. Requirements

timestamp Long from The start index to fetch batches Int size Number of batches to fetch, 100 by default Int Response Body Name Description Type from The start index of fetched batches Int Name Description The name of the column String dataType The type descriptor for this column String columnIndex The index of this column in the schema Int precision The precision of the column Int scale The scale of the password='password', auth='CUSTOM') PySpark PySpark [https://spark.apache.org/docs/latest/api/python/index.html] is an interface for Apache Spark in Python. Kyuubi can be used as JDBC source in PySpark. Requirements

timestamp Long from The start index to fetch batches Int size Number of batches to fetch, 100 by default Int Response Body Name Description Type from The start index of fetched batches Int Name Description The name of the column String dataType The type descriptor for this column String columnIndex The index of this column in the schema Int precision The precision of the column Int scale The scale of the password='password', auth='CUSTOM') PySpark PySpark [https://spark.apache.org/docs/latest/api/python/index.html] is an interface for Apache Spark in Python. Kyuubi can be used as JDBC source in PySpark. Requirements

timestamp Long from The start index to fetch batches Int size Number of batches to fetch, 100 by default Int Response Body Name Description Type from The start index of fetched batches Int Name Description The name of the column String dataType The type descriptor for this column String columnIndex The index of this column in the schema Int precision The precision of the column Int scale The scale of the password='password', auth='CUSTOM') PySpark PySpark [https://spark.apache.org/docs/latest/api/python/index.html] is an interface for Apache Spark in Python. Kyuubi can be used as JDBC source in PySpark. Requirements

before this timestamp Long from The start index to fetch sessions Int size Number of sessions to fetch Int Response Body Name Description Type from The start index of fetched sessions Int total Number fix it if appropriate for you. PySpark PySpark [https://spark.apache.org/docs/latest/api/python/index.html] is an interface for Apache Spark in Python. Kyuubi can be used as JDBC source in PySpark. Requirements functions as supplement to Spark’s Built-in Functions [https://spark.apache.org/docs/latest/api/sql/index.html#built-in-functions] Name Description Return Type Since kyuubi_version Return the version of

timestamp Long from The start index to fetch batches Int size Number of batches to fetch, 100 by default Int Response Body Name Description Type from The start index of fetched batches Int total Number The name of the column String dataType The type descriptor for this column String columnIndex The index of this column in the schema Int precision The precision of the column Int scale The scale of the kerberos_service_name="kyuubi") PySpark PySpark [https://spark.apache.org/docs/latest/api/python/index.html] is an interface for Apache Spark in Python. Kyuubi can be used as JDBC source in PySpark. Requirements

timestamp Long from The start index to fetch batches Int size Number of batches to fetch, 100 by default Int Response Body Name Description Type from The start index of fetched batches Int total Number The name of the column String dataType The type descriptor for this column String columnIndex The index of this column in the schema Int precision The precision of the column Int scale The scale of the kerberos_service_name="kyuubi") PySpark PySpark [https://spark.apache.org/docs/latest/api/python/index.html] is an interface for Apache Spark in Python. Kyuubi can be used as JDBC source in PySpark. Requirements