Exception Handling I will try to put the concept as simple as possible. Suppose, you write a java code which add two numbers. And these two numbers are to be given by the user. import java.util.Scanner; class Demo { public static void main(String args[]) { Scanner Sc = new Scanner...
return new DefaultSqlSession(configuration, executor, autoCommit); } catch (Exception e) { closeTransaction(tx); // may have fetched a connection so lets call close() throw ExceptionFactory.wrapException("Error opening session. Cause: " + e, e); } finally { ErrorContext.instance().reset();...
public void copyProperties(Object dest, Object origin) throws PropertyHandlingException { try { Map<String, Object> description = BeanUtils.describe(origin); StringFilter filterer = new StringFilter(getIncludeProperties(), getExcludeProperties()); filterer.filter(description.keySet().iterator()); for ...
"errorHandlingConfig":{"bucketName": "string", "bucketPrefix": "string", "failOnFirstDestinationError":boolean}, "idFieldNames": [ "string" ], "writeOperationType": "string" }, "CustomerProfiles":{"domainName": "string", "objectTypeName": "string" }, "EventBridge":{"errorHandlingConfig"...
MaxCompute is suitable for handling batch operations. You can process massive data in one batch processing job. Select Statements - The key of "group by" statement can be the column name of input table and also can be the expression consisted of input table columns, but it cannot be output...
HandlingConfig": { "bucketName": "string", "bucketPrefix": "string", "failOnFirstDestinationError": boolean }, "idFieldNames": [ "string" ], "writeOperationType": "string" }, "CustomerProfiles": { "domainName": "string", "objectTypeName": "string" }, "EventBridge": { "errorHandling...
import com.aliyun.odps.udf.UDFException; /** * project: example_project * table: wc_in2 * partitions: p2=1,p1=2 * columns: colc,colb,cola */ public class UDAFExample extends Aggregator { @Override public void iterate(Writable arg0, Writable[] arg1) throws UDFException { LongWritable res...