Source:
<code>public void open() throws InterpreterException { try { 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()); } if (entry.getKey().toString().equals("zeppelin.spark.useHiveContext")) { conf.set("spark.useHiveContext", entry.getValue().toString()); } if (entry.getKey().toString().equals("zeppelin.spark.concurrentSQL") && entry.getValue().toString().equals("true")) { conf.set("spark.scheduler.mode", "FAIR"); } } <START> String masterEnv = System.getenv("MASTER"); <END> conf.setIfMissing("spark.master", masterEnv == null ? "local" : masterEnv); this.innerInterpreter = loadSparkScalaInterpreter(conf); this.innerInterpreter.open(); sc = this.innerInterpreter.getSparkContext(); jsc = JavaSparkContext.fromSparkContext(sc); sparkVersion = SparkVersion.fromVersionString(sc.version()); if (enableSupportedVersionCheck && sparkVersion.isUnsupportedVersion()) { throw new Exception("This is not officially supported spark version: " + sparkVersion + "\nYou can set zeppelin.spark.enableSupportedVersionCheck to false if you really" + " want to try this version of spark."); } sqlContext = this.innerInterpreter.getSqlContext(); sparkSession = this.innerInterpreter.getSparkSession(); SESSION_NUM.incrementAndGet(); } catch (Exception e) { LOGGER.error("Fail to open SparkInterpreter", e); throw new InterpreterException("Fail to open SparkInterpreter", e); } }</code><technical_language>I this is line of code issue in mail-list</technical_language>

Target:
public void open() throws InterpreterException { try { 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()); } if (entry.getKey().toString().equals("zeppelin.spark.useHiveContext")) { conf.set("spark.useHiveContext", entry.getValue().toString()); } if (entry.getKey().toString().equals("zeppelin.spark.concurrentSQL") && entry.getValue().toString().equals("true")) { conf.set(SparkStringConstants.SCHEDULER_MODE_PROP_NAME, "FAIR"); } } if (!conf.contains(SparkStringConstants.MASTER_PROP_NAME)) { if (conf.contains("master")) { conf.set(SparkStringConstants.MASTER_PROP_NAME, conf.get("master")); } else { String masterEnv = System.getenv(SparkStringConstants.MASTER_ENV_NAME); conf.set(SparkStringConstants.MASTER_PROP_NAME, masterEnv == null ? SparkStringConstants.DEFAULT_MASTER_VALUE : masterEnv); } } this.innerInterpreter = loadSparkScalaInterpreter(conf); this.innerInterpreter.open(); sc = this.innerInterpreter.getSparkContext(); jsc = JavaSparkContext.fromSparkContext(sc); sparkVersion = SparkVersion.fromVersionString(sc.version()); if (enableSupportedVersionCheck && sparkVersion.isUnsupportedVersion()) { throw new Exception("This is not officially supported spark version: " + sparkVersion + "\nYou can set zeppelin.spark.enableSupportedVersionCheck to false if you really" + " want to try this version of spark."); } sqlContext = this.innerInterpreter.getSqlContext(); sparkSession = this.innerInterpreter.getSparkSession(); SESSION_NUM.incrementAndGet(); } catch (Exception e) { LOGGER.error("Fail to open SparkInterpreter", e); throw new InterpreterException("Fail to open SparkInterpreter", e); } }