Have you probe to partitioning your data? It’s pretty simple by adding a field (integer partitionId) on your table, so each node will load only its own partitions. You could see an example here: http://apacheignite.gridgain.org/docs/data-loading
El 18 oct 2016, a las 9:06, Alexey Kuznetsov <[email protected]<mailto:[email protected]>> escribió: Bob, In current Ignite implementation, if you are loading data via cache store each node will iterate whole data set and take only those keys that will satisfy affinity function. So, in case of one node - all keys will loaded. in case of two nodes: first node will iterate WHOLE data set, but will take 50% of keys, same with second node. in case of three nodes: each node will iterate WHOLE data set, but will take 33% of keys. There is no general solution to speedup load. On Tue, Oct 18, 2016 at 1:34 PM, 胡永亮/Bob <[email protected]<mailto:[email protected]>> wrote: Hi, I load data into Ignite from oracle with loadCache(). I load 100w data, when Ignite cluster has one node, its cost time is 2m27s. Two nodes, its cost time is 2m18s, three 2m15s, four 2m11s. I have tested reading the 100w data through jdbc, its cost time is 40s. Why don't the loading speed increase with mode Ignite nodes? Thanks. ________________________________ Bob --------------------------------------------------------------------------------------------------- Confidentiality Notice: The information contained in this e-mail and any accompanying attachment(s) is intended only for the use of the intended recipient and may be confidential and/or privileged of Neusoft Corporation, its subsidiaries and/or its affiliates. If any reader of this communication is not the intended recipient, unauthorized use, forwarding, printing, storing, disclosure or copying is strictly prohibited, and may be unlawful.If you have received this communication in error,please immediately notify the sender by return e-mail, and delete the original message and all copies from your system. Thank you. --------------------------------------------------------------------------------------------------- -- Alexey Kuznetsov
