相关文章推荐
长情的火柴  ·  正则表达式 ...·  1 年前    · 
Collectives™ on Stack Overflow

Find centralized, trusted content and collaborate around the technologies you use most.

Learn more about Collectives

Teams

Q&A for work

Connect and share knowledge within a single location that is structured and easy to search.

Learn more about Teams

Here is my spark sql code, where I am trying to read a presto table based on this guide; https://spark.apache.org/docs/latest/sql-data-sources-jdbc.html

 val df = spark.read
 .format("jdbc")
 .option("driver", "com.facebook.presto.jdbc.PrestoDriver")
 .option("url", "jdbc:presto://localhost:8889/mycatalog")
 .option("query", "select * from mydb.mytable limit 1")
 .option("user", "myuserid")
 .load()
I am getting the following exception, unrecognized connection property 'url'

Exception in thread "main" java.sql.SQLException: Unrecognized connection property 'url'
at com.facebook.presto.jdbc.PrestoDriverUri.validateConnectionProperties(PrestoDriverUri.java:345)
at com.facebook.presto.jdbc.PrestoDriverUri.<init>(PrestoDriverUri.java:102)
at com.facebook.presto.jdbc.PrestoDriverUri.<init>(PrestoDriverUri.java:92)
at com.facebook.presto.jdbc.PrestoDriver.connect(PrestoDriver.java:87)
at org.apache.spark.sql.execution.datasources.jdbc.connection.BasicConnectionProvider.getConnection(BasicConnectionProvider.scala:49)
at org.apache.spark.sql.execution.datasources.jdbc.connection.ConnectionProvider$.create(ConnectionProvider.scala:68)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$createConnectionFactory$1(JdbcUtils.scala:62)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$.resolveTable(JDBCRDD.scala:56)
at org.apache.spark.sql.execution.datasources.jdbc.JDBCRelation$.getSchema(JDBCRelation.scala:226)
at org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:35)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:354)
at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:326)
at org.apache.spark.sql.DataFrameReader.$anonfun$load$3(DataFrameReader.scala:308)
at scala.Option.getOrElse(Option.scala:189)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:308)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:226)
at org.apache.spark.sql.DataFrameReader.jdbc(DataFrameReader.scala:341)

Seems like this issue is related to https://github.com/prestodb/presto/issues/9254  where the property url is not a recognized property in Presto and looks like the fix needs to be done on the Spark side? Are there any other workaround for this issue?

Spark Version: 3.1.1
presto-jdbc version: 0.245 

There is no issue with spark or presto JDBC driver. I don't think URL which you specified will work.

You should change that to below format.

jdbc:presto://localhost:8889/mycatalog

UPDATE

Not sure how it's working with spark version < 3. As an workaround you can use another jar where strict config check has been removed as specified here.

Sorry, that was a typo. I have updated the post. I indeed gave jdbc:presto://localhost:8889/mycatalog – Raj Aug 30, 2021 at 20:48 Updated the post. I am using spark 3.1.1 + presto-jdbc-0.245 on EMR 6.3.0. Also presto-jdbc-0.260 also has the same issue on spark 3.1.1 – Raj Aug 30, 2021 at 21:09 The amended jar does work. Thank you! although seems like do not support ARRAY Exception in thread "main" java.sql.SQLException: Unsupported type ARRAYatorg.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.getCatalystType(JdbcUtils.scala:247). That would be for a separate question. B/w here is the JIRA I have opened up for this issue issues.apache.org/jira/projects/SPARK/issues/… – Raj Aug 31, 2021 at 14:37

@odonnry is correct that the issue was fixed in spark 3.3.x, but if anyone cannot upgrade to Spark 3.3.x and is trying to use Trino, I created a workaround below according to the Jira issue linked by @Mohana

https://github.com/amitferman/trino

Thanks for contributing an answer to Stack Overflow!

  • Please be sure to answer the question. Provide details and share your research!

But avoid

  • Asking for help, clarification, or responding to other answers.
  • Making statements based on opinion; back them up with references or personal experience.

To learn more, see our tips on writing great answers.