You’d need to use a thick client to call that API.
> On 25 Aug 2022, at 10:39, [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]>
