如何在spark-jdbc应用程序中给出表名以读取RDBMS数据库上的数据？

我正在尝试使用 Spark 读取 greenplum 数据库上存在的表，如下所示：

val execQuery = s"select ${allColumns}, 0 as ${flagCol} from schema.table where period_year=2017 and period_num=12"
val yearDF = spark.read.format("io.pivotal.greenplum.spark.GreenplumRelationProvider").option("url", connectionUrl).option("dbtable", s"(${execQuery}) as year2016")
                                .option("user", devUserName)
                                .option("password", devPassword)
                                .option("partitionColumn","header_id")
                                .option("lowerBound", 16550)
                                .option("upperBound", 1152921481695656862L)
                                .option("numPartitions",450).load()

当我使用 Spark-submit 运行代码时，出现异常：

Exception in thread "main" org.postgresql.util.PSQLException: ERROR: relation "public.(select je_header_id,source_system_name,je_line_num,last_update" does not exist
  Position: 15
    at org.postgresql.core.v3.QueryExecutorImpl.receiveErrorResponse(QueryExecutorImpl.java:2310)
    at org.postgresql.core.v3.QueryExecutorImpl.processResults(QueryExecutorImpl.java:2023)
    at org.postgresql.core.v3.QueryExecutorImpl.execute(QueryExecutorImpl.java:217)
    at org.postgresql.jdbc.PgStatement.execute(PgStatement.java:421)
    at org.postgresql.jdbc.PgStatement.executeWithFlags(PgStatement.java:318)
    at org.postgresql.jdbc.PgStatement.executeQuery(PgStatement.java:281)
    at com.zaxxer.hikari.pool.ProxyStatement.executeQuery(ProxyStatement.java:111)
    at com.zaxxer.hikari.pool.HikariProxyStatement.executeQuery(HikariProxyStatement.java)
    at io.pivotal.greenplum.spark.jdbc.Jdbc$.resolveTable(Jdbc.scala:301)
    at io.pivotal.greenplum.spark.GreenplumRelationProvider.createRelation(GreenplumRelationProvider.scala:29)
    at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:309)
    at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:178)
    at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:146)
    at com.partition.source.YearPartition$.prepareFinalDF$1(YearPartition.scala:141)
    at com.partition.source.YearPartition$.main(YearPartition.scala:164)
    at com.partition.source.YearPartition.main(YearPartition.scala)

In the execQuery我可以看到模式名称和表名称正确形成。当我提交代码时，它说public.(select je_header_id,source_system_name,) relation not found。我不明白为什么要采取public作为模式名称和查询(select je_header_id,source_system_name,je_line_num,last_update"作为表名。

谁能让我知道我在这里犯了什么错误以及如何解决它？

如果您使用 Spark jdbc ，您可以包装查询并将其传递给 dbtable 参数。如果pivotal像任何jdbc一样工作，那么这应该可以工作。

val query = """
  (select a.id,b,id,a.name from a left outer join b on a.id=b.id
    limit 100) foo
"""

val df = sqlContext.format("jdbc").
  option("url", "jdbc:mysql://localhost:3306/local_content").
  option("driver", "com.mysql.jdbc.Driver").
  option("useUnicode", "true").
  option("continueBatchOnError","true").
  option("useSSL", "false").
  option("user", "root").
  option("password", "").
  option("dbtable",query).
  load()