DataStreamer allows to inject high volume of data into Ignite from a client. It essentially is an equivalent of a bulk-put operation which automatically batches the data on the client side before sending it to servers.
loadCache() method, on the other hand, will load data from the underlying store. It will be executed on each of the server nodes, which in turn will connect to the database to load their portion of the data. Here is a link to more documentation: https://apacheignite.readme.io/docs/data-loading D. On Mon, Apr 25, 2016 at 7:18 AM, Level D <[email protected]> wrote: > Hi， > > I've already read the development manul about these three methods. And it > says that putall is inefficient when cluster loads a large nember of data. > > Here comes my problems. > > What are the advantages of localcache and streamer in big data? > Are there any mesures to ensure data is not lost? Like at least once or > only once... > >
