var p = ignite.affinity(“CACHENAME”).partitions();
> On 25 Aug 2022, at 13:10, [email protected] wrote: > >> affinityCallAsync >> <https://ignite.apache.org/releases/latest/javadoc/org/apache/ignite/IgniteCompute.html#affinityCallAsync-java.util.Collection-int-org.apache.ignite.lang.IgniteCallable-> >> need PartitionId，how can i get all PartitionIds? >> > Or the number of partitions is 1024 > > [email protected] <mailto:[email protected]> > > From: [email protected] <mailto:[email protected]> > Date: 2022-08-25 19:11 > To: user <mailto:[email protected]> > Subject: Re: Re: count cache key number >> affinityCallAsync >> <https://ignite.apache.org/releases/latest/javadoc/org/apache/ignite/IgniteCompute.html#affinityCallAsync-java.util.Collection-int-org.apache.ignite.lang.IgniteCallable-> >> need PartitionId，how can i get all PartitionIds > > > [email protected] > > From: Stephen Darlington <mailto:[email protected]> > Date: 2022-08-25 18:55 > To: user <mailto:[email protected]> > Subject: Re: count cache key number > You’d need to use a thick client to call that API. > >> On 25 Aug 2022, at 10:39, [email protected] <mailto:[email protected]> >> wrote: >> >> sorry,i find igniteClient.compute() has no affinityCallAsync >> <https://ignite.apache.org/releases/latest/javadoc/org/apache/ignite/IgniteCompute.html#affinityCallAsync-java.util.Collection-int-org.apache.ignite.lang.IgniteCallable-> >> method ,does igniteClient can call affinityCallAsync >> <https://ignite.apache.org/releases/latest/javadoc/org/apache/ignite/IgniteCompute.html#affinityCallAsync-java.util.Collection-int-org.apache.ignite.lang.IgniteCallable-> >> >> [email protected] <mailto:[email protected]> >> >> From: Stephen Darlington <mailto:[email protected]> >> Date: 2022-08-24 20:27 >> To: user <mailto:[email protected]> >> Subject: Re: count cache key number >> There are a number of ways to tackle this. >> >> If your cache split the key into distinct fields rather that a concatenated >> string, you could SQL-enable your cache and get your count as a simple >> SELECT statement. >> >> Alternatively, there’s an affinity compute task that takes a partition >> (affinityCallAsync >> <https://ignite.apache.org/releases/latest/javadoc/org/apache/ignite/IgniteCompute.html#affinityCallAsync-java.util.Collection-int-org.apache.ignite.lang.IgniteCallable->). >> If you use that and a ScanQuery that fetches records from a specific >> partition (ScanQuery >> <https://ignite.apache.org/releases/latest/javadoc/org/apache/ignite/cache/query/ScanQuery.html#ScanQuery-int->), >> you’ll get something like a map-reduce. (You could also use the map-reduce >> API, but an affinity call is probably easier.) >> >>> On 24 Aug 2022, at 11:59, [email protected] <mailto:[email protected]> >>> wrote: >>> >>> hi >>> do I pass cache in distribute compute than use cache scan ,that faster than >>> I use a cache scan in client api. >>> >>> ---Original--- >>> From: "[email protected] >>> <mailto:[email protected]>"<[email protected] >>> <mailto:[email protected]>> >>> Date: Wed, Aug 24, 2022 17:06 PM >>> To: "user"<[email protected] <mailto:[email protected]>>; >>> Subject: count cache key number >>> >>> Hi, >>> I have a cache ,it's key like >>> "mobile:140000" >>> "mobile:140001", >>> "address:test1", >>> "address:test2", >>> "address:test3"。 >>> I want to count mobile number and address number。 >>> address number is 3 and mobile number is 2。I see Ignite doc has >>> mapreduce job，but it seem not example iterator cache key。 is there any >>> method to iterator key in mapreduce job。Thank you very much >>> >>> [email protected] <mailto:[email protected]>
