Thank you very, very much
wkhapy...@gmail.com From: Stephen Darlington Date: 2022-08-25 20:58 To: user Subject: Re: count cache key number var p = ignite.affinity(“CACHENAME”).partitions(); On 25 Aug 2022, at 13:10, wkhapy...@gmail.com wrote: affinityCallAsync need PartitionId,how can i get all PartitionIds? Or the number of partitions is 1024 wkhapy...@gmail.com From: wkhapy...@gmail.com Date: 2022-08-25 19:11 To: user Subject: Re: Re: count cache key number affinityCallAsync need PartitionId,how can i get all PartitionIds wkhapy...@gmail.com From: Stephen Darlington Date: 2022-08-25 18:55 To: user 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, wkhapy...@gmail.com wrote: sorry,i find igniteClient.compute() has no affinityCallAsync method ,does igniteClient can call affinityCallAsync wkhapy...@gmail.com From: Stephen Darlington Date: 2022-08-24 20:27 To: user 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). If you use that and a ScanQuery that fetches records from a specific partition (ScanQuery), 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, wkhapy...@gmail.com 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: "wkhapy...@gmail.com"<wkhapy...@gmail.com> Date: Wed, Aug 24, 2022 17:06 PM To: "user"<user@ignite.apache.org>; 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 wkhapy...@gmail.com