【发布时间】:2018-09-24 20:38:38
【问题描述】:
我正在尝试使用 spark sql 获取 sql server 中架构中所有表的行数和列数。
当我使用 sqoop 执行以下查询时,它给了我正确的结果。
sqoop eval --connect "jdbc:sqlserver://<hostname>;database=<dbname>" \
--username=<username> --password=<pwd> \
--query """SELECT
ta.name TableName ,
pa.rows RowCnt,
COUNT(ins.COLUMN_NAME) ColCnt FROM <db>.sys.tables ta INNER JOIN
<db>.sys.partitions pa ON pa.OBJECT_ID = ta.OBJECT_ID INNER JOIN
<db>.sys.schemas sc ON ta.schema_id = sc.schema_id join
<db>.INFORMATION_SCHEMA.COLUMNS ins on ins.TABLE_SCHEMA =sc.name and ins.TABLE_NAME=ta.name
WHERE ta.is_ms_shipped = 0 AND pa.index_id IN (1,0) and sc.name ='<schema>' GROUP BY sc.name, ta.name, pa.rows order by
TableName"""
但是当我尝试从 spark sql 执行相同的查询时,我收到一个错误“com.microsoft.sqlserver.jdbc.SQLServerException: Incorrect syntax near the keyword 'WHERE'” 如果有人对此错误有任何想法,请帮助我。
下面是我执行的 spark sql 命令 spark-shell --jars "/var/lib/sqoop/sqljdbc42.jar"
sqlContext.read.format("jdbc").option("url", "jdbc:sqlserver://<hostname>;database=<dbname>;user=<user>;password=<pwd>").option("dbtable", """(SELECT
ta.name TableName ,pa.rows RowCnt,
COUNT(ins.COLUMN_NAME) ColCnt FROM <db>.sys.tables ta INNER JOIN
<db>.sys.partitions pa ON pa.OBJECT_ID = ta.OBJECT_ID INNER JOIN
<db>.sys.schemas sc ON ta.schema_id = sc.schema_id join
<db>.INFORMATION_SCHEMA.COLUMNS ins on ins.TABLE_SCHEMA =sc.name and ins.TABLE_NAME=ta.name
WHERE ta.is_ms_shipped = 0 AND pa.index_id IN (1,0) and sc.name ='<schema>' GROUP BY sc.name,ta.name, pa.rows)""").option("driver", "com.microsoft.sqlserver.jdbc.SQLServerDriver").load()
预期输出:
表名、行号、列号
表 A、62、30
表 B, 3846, 76
【问题讨论】:
-
您似乎在 Select 语句之前缺少单引号或双引号?你试过这个吗?
标签: sql-server apache-spark apache-spark-sql rowcount column-count