felixcheung commented on a change in pull request #3375: ZEPPELIN-4176. Remove old spark interpreter URL: https://github.com/apache/zeppelin/pull/3375#discussion_r290110298
########## File path: spark/interpreter/src/main/java/org/apache/zeppelin/spark/SparkInterpreter.java ########## @@ -50,46 +71,103 @@ public SparkInterpreter(Properties properties) { if (Boolean.parseBoolean(properties.getProperty("zeppelin.spark.scala.color", "true"))) { System.setProperty("scala.color", "true"); } - if (Boolean.parseBoolean(properties.getProperty("zeppelin.spark.useNew", "false"))) { - delegation = new NewSparkInterpreter(properties); - } else { - delegation = new OldSparkInterpreter(properties); - } - delegation.setParentSparkInterpreter(this); + this.enableSupportedVersionCheck = java.lang.Boolean.parseBoolean( + properties.getProperty("zeppelin.spark.enableSupportedVersionCheck", "true")); + innerInterpreterClassMap.put("2.10", "org.apache.zeppelin.spark.SparkScala210Interpreter"); + innerInterpreterClassMap.put("2.11", "org.apache.zeppelin.spark.SparkScala211Interpreter"); } @Override public void open() throws InterpreterException { - delegation.setInterpreterGroup(getInterpreterGroup()); - delegation.setUserName(getUserName()); - delegation.setClassloaderUrls(getClassloaderUrls()); - - delegation.open(); + try { + String scalaVersion = extractScalaVersion(); + LOGGER.info("Using Scala Version: " + scalaVersion); + SparkConf conf = new SparkConf(); + for (Map.Entry<Object, Object> entry : getProperties().entrySet()) { + if (!StringUtils.isBlank(entry.getValue().toString())) { + conf.set(entry.getKey().toString(), entry.getValue().toString()); + } + // zeppelin.spark.useHiveContext & zeppelin.spark.concurrentSQL are legacy zeppelin + // properties, convert them to spark properties here. + if (entry.getKey().toString().equals("zeppelin.spark.useHiveContext")) { + conf.set("spark.useHiveContext", entry.getValue().toString()); Review comment: I don't recall this is the name in spark? `spark.useHiveContext` anyway this isn't supported in spark today? ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services