Source:
public InterpreterResult internalInterpret(String st, InterpreterContext context) throws InterpreterException { if (sparkInterpreter.isUnsupportedSparkVersion()) { return new InterpreterResult(Code.ERROR, "Spark " + sparkInterpreter.getSparkVersion().toString() + " is not supported"); } Utils.printDeprecateMessage(sparkInterpreter.getSparkVersion(), context, properties); sparkInterpreter.getZeppelinContext().setInterpreterContext(context); SQLContext sqlc = sparkInterpreter.getSQLContext(); SparkContext sc = sqlc.sparkContext(); StringBuilder builder = new StringBuilder(); List<String> sqls = sqlSplitter.splitSql(st); for (String sql : sqls) { sc.setLocalProperty("spark.scheduler.pool", context.getLocalProperties().get("pool")); sc.setJobGroup(Utils.buildJobGroupId(context), Utils.buildJobDesc(context), false); try { Method method = sqlc.getClass().getMethod("sql", String.class); int maxResult = Integer.parseInt(context.getLocalProperties().getOrDefault("limit", "" + sparkInterpreter.getZeppelinContext().getMaxResult())); String result = sparkInterpreter.getZeppelinContext().showData( method.invoke(sqlc, sql), maxResult); sc.clearJobGroup(); builder.append(result); } catch (Exception e) { if (Boolean.parseBoolean(getProperty("zeppelin.spark.sql.stacktrace"))) { builder.append("%text " + ExceptionUtils.getStackTrace(e)); } else { logger.error("Invocation target exception", e); String msg = e.getCause().getMessage() + "\nset zeppelin.spark.sql.stacktrace = true to see full stacktrace"; builder.append("\n%text " + msg); } return new InterpreterResult(Code.ERROR, builder.toString()); } } return new InterpreterResult(Code.SUCCESS, builder.toString()); }

Target:
public InterpreterResult internalInterpret(String st, InterpreterContext context) throws InterpreterException { if (sparkInterpreter.isUnsupportedSparkVersion()) { return new InterpreterResult(Code.ERROR, "Spark " + sparkInterpreter.getSparkVersion().toString() + " is not supported"); } Utils.printDeprecateMessage(sparkInterpreter.getSparkVersion(), context, properties); sparkInterpreter.getZeppelinContext().setInterpreterContext(context); SQLContext sqlc = sparkInterpreter.getSQLContext(); SparkContext sc = sqlc.sparkContext(); StringBuilder builder = new StringBuilder(); List<String> sqls = sqlSplitter.splitSql(st); int maxResult = Integer.parseInt(context.getLocalProperties().getOrDefault("limit", "" + sparkInterpreter.getZeppelinContext().getMaxResult())); sc.setLocalProperty("spark.scheduler.pool", context.getLocalProperties().get("pool")); sc.setJobGroup(Utils.buildJobGroupId(context), Utils.buildJobDesc(context), false); String curSql = null; try { for (String sql : sqls) { curSql = sql; String result = sparkInterpreter.getZeppelinContext().showData(sqlc.sql(sql), maxResult); builder.append(result); } } catch (Exception e) { builder.append("\n%text Error happens in sql: " + curSql + "\n"); if (Boolean.parseBoolean(getProperty("zeppelin.spark.sql.stacktrace", "false"))) { builder.append(ExceptionUtils.getStackTrace(e)); } else { logger.error("Invocation target exception", e); String msg = e.getCause().getMessage() + "\nset zeppelin.spark.sql.stacktrace = true to see full stacktrace"; builder.append(msg); } return new InterpreterResult(Code.ERROR, builder.toString()); } finally { sc.clearJobGroup(); } return new InterpreterResult(Code.SUCCESS, builder.toString()); }