Split Data equally to Thread in java
$begingroup$
Is this efficient way to split the record which is comes from database
? So that thread will process the record based on the start and end
point .
Step 1: Get the total No of Record from Database. ie (Select count(*) from employee) ie (example: totalRecordsFromDB=121);
Step 2 :Equally share the data to thread ie (example :totalThreadSize=3)
Step 3 : calculate the start/end point and trigger the thread.
Step 4 : Based on the start/end i will trigger the thread.ie
(select * from employee where empid >=start and empid<=end)
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
/**
* @author dhava
*
*/
public class CoreLogic {
/**
* @param args
*/
public static void main(String args) {
// TODO Auto-generated method stub
int totalRecordsFromDB=121;
int totalThreadSize=3;
int spanStart=1;
int spanLimit=totalRecordsFromDB/totalThreadSize;
int counter=1;
Map<String,List<Integer>> result=new HashMap<String,List<Integer>>();
List<Integer> sublist=new ArrayList<Integer>();
int totalRecordForSpan=1;
int startNode=0;
int endNode=0;
int spliter=1;
for(int i=1;i<=totalRecordsFromDB;i++) {
if(spanStart==totalRecordForSpan) {
startNode=i;
sublist=new ArrayList<Integer>();
sublist.add(startNode);
}
else if(spanLimit==totalRecordForSpan && spliter!=totalThreadSize) {
endNode=i;
totalRecordForSpan=0;
sublist.add(endNode);
result.put("Split_"+spliter,sublist);
spliter++;
// <<start the thread >>
}
else if(totalRecordsFromDB==counter) {
endNode=i;
sublist.add(endNode);
result.put("Split_"+spliter,sublist);
//<< start the thread >>
}
totalRecordForSpan++;
counter++;
}
System.out.println(result);
}
}
The given below is output.(start/end point in arraylist)
{Split_3=[81, 121], Split_2=[41, 80], Split_1=[1, 40]}
Please refer the given below queries.
1. Is this design/code is good ? - I have thread Limit.
2. Is any other approach or design for better performance ?
3. Is there any way in spring-batch to configure the thread?
Note : i am going to handle the huge volume of data with limited number of thread.
java multithreading spring batch
$endgroup$
add a comment |
$begingroup$
Is this efficient way to split the record which is comes from database
? So that thread will process the record based on the start and end
point .
Step 1: Get the total No of Record from Database. ie (Select count(*) from employee) ie (example: totalRecordsFromDB=121);
Step 2 :Equally share the data to thread ie (example :totalThreadSize=3)
Step 3 : calculate the start/end point and trigger the thread.
Step 4 : Based on the start/end i will trigger the thread.ie
(select * from employee where empid >=start and empid<=end)
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
/**
* @author dhava
*
*/
public class CoreLogic {
/**
* @param args
*/
public static void main(String args) {
// TODO Auto-generated method stub
int totalRecordsFromDB=121;
int totalThreadSize=3;
int spanStart=1;
int spanLimit=totalRecordsFromDB/totalThreadSize;
int counter=1;
Map<String,List<Integer>> result=new HashMap<String,List<Integer>>();
List<Integer> sublist=new ArrayList<Integer>();
int totalRecordForSpan=1;
int startNode=0;
int endNode=0;
int spliter=1;
for(int i=1;i<=totalRecordsFromDB;i++) {
if(spanStart==totalRecordForSpan) {
startNode=i;
sublist=new ArrayList<Integer>();
sublist.add(startNode);
}
else if(spanLimit==totalRecordForSpan && spliter!=totalThreadSize) {
endNode=i;
totalRecordForSpan=0;
sublist.add(endNode);
result.put("Split_"+spliter,sublist);
spliter++;
// <<start the thread >>
}
else if(totalRecordsFromDB==counter) {
endNode=i;
sublist.add(endNode);
result.put("Split_"+spliter,sublist);
//<< start the thread >>
}
totalRecordForSpan++;
counter++;
}
System.out.println(result);
}
}
The given below is output.(start/end point in arraylist)
{Split_3=[81, 121], Split_2=[41, 80], Split_1=[1, 40]}
Please refer the given below queries.
1. Is this design/code is good ? - I have thread Limit.
2. Is any other approach or design for better performance ?
3. Is there any way in spring-batch to configure the thread?
Note : i am going to handle the huge volume of data with limited number of thread.
java multithreading spring batch
$endgroup$
add a comment |
$begingroup$
Is this efficient way to split the record which is comes from database
? So that thread will process the record based on the start and end
point .
Step 1: Get the total No of Record from Database. ie (Select count(*) from employee) ie (example: totalRecordsFromDB=121);
Step 2 :Equally share the data to thread ie (example :totalThreadSize=3)
Step 3 : calculate the start/end point and trigger the thread.
Step 4 : Based on the start/end i will trigger the thread.ie
(select * from employee where empid >=start and empid<=end)
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
/**
* @author dhava
*
*/
public class CoreLogic {
/**
* @param args
*/
public static void main(String args) {
// TODO Auto-generated method stub
int totalRecordsFromDB=121;
int totalThreadSize=3;
int spanStart=1;
int spanLimit=totalRecordsFromDB/totalThreadSize;
int counter=1;
Map<String,List<Integer>> result=new HashMap<String,List<Integer>>();
List<Integer> sublist=new ArrayList<Integer>();
int totalRecordForSpan=1;
int startNode=0;
int endNode=0;
int spliter=1;
for(int i=1;i<=totalRecordsFromDB;i++) {
if(spanStart==totalRecordForSpan) {
startNode=i;
sublist=new ArrayList<Integer>();
sublist.add(startNode);
}
else if(spanLimit==totalRecordForSpan && spliter!=totalThreadSize) {
endNode=i;
totalRecordForSpan=0;
sublist.add(endNode);
result.put("Split_"+spliter,sublist);
spliter++;
// <<start the thread >>
}
else if(totalRecordsFromDB==counter) {
endNode=i;
sublist.add(endNode);
result.put("Split_"+spliter,sublist);
//<< start the thread >>
}
totalRecordForSpan++;
counter++;
}
System.out.println(result);
}
}
The given below is output.(start/end point in arraylist)
{Split_3=[81, 121], Split_2=[41, 80], Split_1=[1, 40]}
Please refer the given below queries.
1. Is this design/code is good ? - I have thread Limit.
2. Is any other approach or design for better performance ?
3. Is there any way in spring-batch to configure the thread?
Note : i am going to handle the huge volume of data with limited number of thread.
java multithreading spring batch
$endgroup$
Is this efficient way to split the record which is comes from database
? So that thread will process the record based on the start and end
point .
Step 1: Get the total No of Record from Database. ie (Select count(*) from employee) ie (example: totalRecordsFromDB=121);
Step 2 :Equally share the data to thread ie (example :totalThreadSize=3)
Step 3 : calculate the start/end point and trigger the thread.
Step 4 : Based on the start/end i will trigger the thread.ie
(select * from employee where empid >=start and empid<=end)
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
/**
* @author dhava
*
*/
public class CoreLogic {
/**
* @param args
*/
public static void main(String args) {
// TODO Auto-generated method stub
int totalRecordsFromDB=121;
int totalThreadSize=3;
int spanStart=1;
int spanLimit=totalRecordsFromDB/totalThreadSize;
int counter=1;
Map<String,List<Integer>> result=new HashMap<String,List<Integer>>();
List<Integer> sublist=new ArrayList<Integer>();
int totalRecordForSpan=1;
int startNode=0;
int endNode=0;
int spliter=1;
for(int i=1;i<=totalRecordsFromDB;i++) {
if(spanStart==totalRecordForSpan) {
startNode=i;
sublist=new ArrayList<Integer>();
sublist.add(startNode);
}
else if(spanLimit==totalRecordForSpan && spliter!=totalThreadSize) {
endNode=i;
totalRecordForSpan=0;
sublist.add(endNode);
result.put("Split_"+spliter,sublist);
spliter++;
// <<start the thread >>
}
else if(totalRecordsFromDB==counter) {
endNode=i;
sublist.add(endNode);
result.put("Split_"+spliter,sublist);
//<< start the thread >>
}
totalRecordForSpan++;
counter++;
}
System.out.println(result);
}
}
The given below is output.(start/end point in arraylist)
{Split_3=[81, 121], Split_2=[41, 80], Split_1=[1, 40]}
Please refer the given below queries.
1. Is this design/code is good ? - I have thread Limit.
2. Is any other approach or design for better performance ?
3. Is there any way in spring-batch to configure the thread?
Note : i am going to handle the huge volume of data with limited number of thread.
java multithreading spring batch
java multithreading spring batch
edited 4 mins ago
Vasanth
asked 9 mins ago
VasanthVasanth
184
184
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