I also think that switching to LOG_ONLY mode should be good enough. On Mon, Feb 26, 2018 at 6:58 AM, dmitriy.govorukhin < [email protected]> wrote:
> Hi, > > I guess the problem in "setSwapPath(...)", it is not the path for > persistence. > > Try to do something like this: > > storePath="/data/ignite2/swap/" > > cfg.setDataStorageConfiguration( > new DataStorageConfiguration() > .setWriteThrottlingEnabled(true) > .setPageSize(4 * 1024) > .setStoragePath(storePath) > .setWalPath(storePath + "/wal") > .setWalArchivePath(storePath + "/archive") > .setDefaultDataRegionConfiguration( > new DataRegionConfiguration() > .setPersistenceEnabled(true) > .setInitialSize(2L * 1024 * 1024 * 1024) > .setMaxSize(10L * 1024 * 1024 * 1024) > ) > ); > > Are you sure what you need so strong guaranteed? (WALMode.DEFAULT) > The WALMode.DEFAULT mode provides the strictness of the protection, but it > is the slowest onŠµ. > Use LOG_ONLY mode for data loading. More info about wal mode see: > https://apacheignite.readme.io/docs/write-ahead-log > > > > > On 25.02.2018 12:14, VT wrote: > >> Hi Stan, >> >> The setting is very simple and straightforward, as follows. >> >> DataStorageConfiguration dsCfg = new DataStorageConfiguration(); >> dsCfg.setWalMode(WALMode.DEFAULT); >> dsCfg.setPageSize(4 * 1024); >> dsCfg.setWriteThrottlingEnabled(true); >> >> .. >> >> DataRegionConfiguration regionCfg1 = new DataRegionConfiguration(); >> regionCfg1.setName("region_1"); >> regionCfg1.setInitialSize(2L * 1024 * 1024 * 1024); >> regionCfg1.setMaxSize(10L * 1024 * 1024 * 1024); >> regionCfg1.setCheckpointPageBufferSize(2L * 1024 * 1024 * 1024); >> regionCfg1.setPageEvictionMode(DataPageEvictionMode.RANDOM_2_LRU); >> regionCfg1.setPersistenceEnabled(true); >> regionCfg1.setSwapPath("/data/ignite2/swap/"); //SSD >> >> ... >> >> cacheCfg.setDataRegionName("region_1"); >> cacheCfg.setName(CacheName); >> cacheCfg.setWriteSynchronizationMode(CacheWriteSynchronizati >> onMode.FULL_ASYNC); >> cacheCfg.setCacheMode(CacheMode.PARTITIONED); >> cacheCfg.setCopyOnRead(false); >> >> ... >> >> I used DataStreammer very simply, like the following. >> >> IgniteDataStreamer stmr.addData(key, value); >> >> I have tried multiple settings such as perNodeBufferSize, >> perNodeParallelOperations. Still very slow. Please help. Thanks! >> >> >> >> -- >> Sent from: http://apache-ignite-users.70518.x6.nabble.com/ >> > >
