【发布时间】:2020-02-22 17:03:00
【问题描述】:
我正在尝试使用 Spark 将 Redshift 与来自 EMR 集群的 zeppelin 中的 scala 连接起来,我使用了 spark-redshift 库,但它不起作用。我尝试了很多解决方案,但我不知道为什么它会出错
val df = spark.read .format("com.databricks.spark.redshift")
.option("url", "jdbc:redshift://xx:xx/xxxx?user=xxx&password=xxx")
.option("tempdir", path)
.option("query", sql_query) .load() ```
``` java.lang.ClassNotFoundException: Failed to find data source:
com.databricks.spark.redshift. Please find packages at http://spark.apache.org/third-party-projects.html
at org.apache.spark.sql.execution.datasources.DataSource$.lookupDataSource(DataSource.scala:657)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:194)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:167)
... 51 elided
Caused by: java.lang.ClassNotFoundException: com.databricks.spark.redshift.DefaultSource
at scala.reflect.internal.util.AbstractFileClassLoader.findClass(AbstractFileClassLoader.scala:62)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$20$$anonfun$apply$12.apply(DataSource.scala:634)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$20$$anonfun$apply$12.apply(DataSource.scala:634)
at scala.util.Try$.apply(Try.scala:192)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$20.apply(DataSource.scala:634)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$20.apply(DataSource.scala:634)
at scala.util.Try.orElse(Try.scala:84)
at org.apache.spark.sql.execution.datasources.DataSource$.lookupDataSource(DataSource.scala:634)
... 53 more ```
Should I import something before ? or may be do some configuration
【问题讨论】:
-
需要整个日志——或者至少是重要的部分——错误信息。
-
现在怎么样?
-
类未找到..
标签: scala apache-spark amazon-redshift amazon-emr spark-redshift