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Apache Spark commented on SPARK-18910: -------------------------------------- User 'weiqingy' has created a pull request for this issue: https://github.com/apache/spark/pull/17342 > Can't use UDF that jar file in hdfs > ----------------------------------- > > Key: SPARK-18910 > URL: https://issues.apache.org/jira/browse/SPARK-18910 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 2.0.2 > Reporter: Hong Shen > > When I create a UDF that jar file in hdfs, I can't use the UDF. > {code} > spark-sql> create function trans_array as 'com.test.udf.TransArray' using > jar > 'hdfs://host1:9000/spark/dev/share/libs/spark-proxy-server-biz-service-impl-1.0.0.jar'; > spark-sql> describe function trans_array; > Function: test_db.trans_array > Class: com.alipay.spark.proxy.server.biz.service.impl.udf.TransArray > Usage: N/A. > Time taken: 0.127 seconds, Fetched 3 row(s) > spark-sql> select trans_array(1, '\\|', id, position) as (id0, position0) > from test_spark limit 10; > Error in query: Undefined function: 'trans_array'. This function is neither a > registered temporary function nor a permanent function registered in the > database 'test_db'.; line 1 pos 7 > {code} > The reason is when > org.apache.spark.sql.internal.SessionState.FunctionResourceLoader.loadResource, > the uri.toURL throw exception with " failed unknown protocol: hdfs" > {code} > def addJar(path: String): Unit = { > sparkSession.sparkContext.addJar(path) > val uri = new Path(path).toUri > val jarURL = if (uri.getScheme == null) { > // `path` is a local file path without a URL scheme > new File(path).toURI.toURL > } else { > // `path` is a URL with a scheme > {color:red}uri.toURL{color} > } > jarClassLoader.addURL(jarURL) > Thread.currentThread().setContextClassLoader(jarClassLoader) > } > {code} > I think we should setURLStreamHandlerFactory method on URL with an instance > of FsUrlStreamHandlerFactory, just like: > {code} > static { > URL.setURLStreamHandlerFactory(new FsUrlStreamHandlerFactory()); > } > {code} -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org