Only 118 jobs for this test.
Bob
From: Taras Ledkov
Date: 2016-09-13 14:52
To: [email protected]
Subject: Re: Re: Increase Ignite instances can't increase the speed of compute
Hi,
How many MatchingJobs do you submit?
On Tue, Sep 13, 2016 at 12:29 PM, 胡永亮/Bob <[email protected]> wrote:
Hello, Vladislav
The following is some code.
...
IgniteCompute compute = ignite.compute();//.withAsync();
compute.run(new MatchingJob(m_mapReadyDataPara));
}
private static class MatchingJob implements IgniteRunnable{
private Map<String, Map<Long, std>> m_mapReadyData;
private IgniteCache<String, Map<Long, List<baselink>>> mapMatchingData;
//This is a cache in Ignite cluster.
...
public void run() {
...
Iterator<Entry<String, Map<Long, std>>> entryKeyIterator1 =
m_mapReadyData.entrySet().iterator(); //m_mapReadyData is the input data,
its size is 5000 for every job now.
Map<String, Map<Long, List<baselink>>> local_writeCache = new
HashMap<String, Map<Long, List<baselink>>>();
...
//Then the job read detail data from m_mapReadyData, and compute.
while (entryKeyIterator1.hasNext()) {
Entry<String, Map<Long, std>> eKey1 = entryKeyIterator1.next();
String carKey = eKey1.getKey();
Map<Long, std> value1 = eKey1.getValue();
//local node cache
Map<Long, List<baselink>> existMapbaselink =
local_mapMatchingData.get(carKey);
if(existMapbaselink == null){
existMapbaselink = mapMatchingData.get(carKey); //Read
data to compute with it from Ignite cache. This data's size is 154M for
PARTITIONED mode.
if(existMapbaselink != null)
local_mapMatchingData.putIfAbsent(carKey,
existMapbaselink);
}
//some compute logic code
mapbaselink = local_writeCache.get(carKey);
if(mapbaselink == null){
mapbaselink = new TreeMap<Long, List<baselink>>();
}
mapbaselink.put(stdtime, ListBaseLink);
local_writeCache.put(carKey, mapbaselink);
}
//batch to write data into Ignite.
Iterator<Entry<String, Map<Long, List<baselink>>>> it =
local_writeCache.entrySet().iterator();
while(it.hasNext()){
Entry<String, Map<Long, List<baselink>>> entry = it.next();
String carKey = entry.getKey();
final Map<Long, List<baselink>> value = entry.getValue();
if(!mapMatchingData.containsKey(carKey)){
mapMatchingData.put(carKey, value);
}else{
mapMatchingData.invoke(carKey, new EntryProcessor<String,
Map<Long, List<baselink>>, Void>() {
@Override
public Void process(MutableEntry<String, Map<Long,
List<baselink>>> entry, Object... args) {
Map<Long, List<baselink>> map = entry.getValue();
map.putAll(value);
entry.setValue(map);
return null;
}
});
}
}
bob
From: Vladislav Pyatkov
Date: 2016-09-12 18:37
To: [email protected]
Subject: Re: Increase Ignite instances can't increase the speed of compute
Hello,
I don't understand, what do you try to measure, without code.
Size of calculation task, size of data moved into network have importance.
Could you please provide code example?
On Mon, Sep 12, 2016 at 12:33 PM, 胡永亮/Bob <[email protected]> wrote:
Hi, everyone:
I am using Ignite for computing and cache.
I use the same input data and the same compute logic.
When my ignite cluster's node is 2 in 2 machines, the total cost time is
38s.
But, when I increase the Ignite cluster nodes to 3 in 3 machines, the cost
time is 32s/51s/41s
4 instances in 4 machines, the cost time is 32s/40s.
The compute speed can't change faster, what may the reason be?
Thanks.
Bob
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