[通过JDBC连接读取Spark SQL Server表

Question

当我尝试创建直接从SQL表读取的数据框时，我在Zeppelin中遇到问题。问题是我不知道如何读取具有地理类型的SQL列。

SQL table

这是我正在使用的代码，以及我得到的错误。

创建JDBC连接

import org.apache.spark.sql.SaveMode
import java.util.Properties

val jdbcHostname = "XX.XX.XX.XX"
val jdbcDatabase = "databasename"
val jdbcUsername = "user"
val jdbcPassword = "XXXXXXXX"

// Create the JDBC URL without passing in the user and password parameters.
val jdbcUrl = s"jdbc:sqlserver://${jdbcHostname};database=${jdbcDatabase}"

// Create a Properties() object to hold the parameters.
val connectionProperties = new Properties()
connectionProperties.put("user", s"${jdbcUsername}")
connectionProperties.put("password", s"${jdbcPassword}")
connectionProperties.setProperty("Driver", "com.microsoft.sqlserver.jdbc.SQLServerDriver")

从SQL读取

import spark.implicits._

val table = "tablename"

val postcode_polygons = spark.
    read.
    jdbc(jdbcUrl, table, connectionProperties)

错误

import spark.implicits._
table: String = Lookup.Postcode50m_Lookup
java.sql.SQLException: Unsupported type -158
  at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.org$apache$spark$sql$execution$datasources$jdbc$JdbcUtils$$getCatalystType(JdbcUtils.scala:233)
  at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$8.apply(JdbcUtils.scala:290)
  at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$$anonfun$8.apply(JdbcUtils.scala:290)
  at scala.Option.getOrElse(Option.scala:121)
  at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.getSchema(JdbcUtils.scala:289)
  at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$.resolveTable(JDBCRDD.scala:64)
  at org.apache.spark.sql.execution.datasources.jdbc.JDBCRelation.<init>(JDBCRelation.scala:114)
  at org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:52)
  at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:307)
  at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:178)
  at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:146)
  at org.apache.spark.sql.DataFrameReader.jdbc(DataFrameReader.scala:193)

Answer 1

您正在读取的内容-列类型-JDBC驱动程序无法满足。

此消息所反映的：java.sql.SQLException：不支持的类型-158