Hi
When i executed on the server , Data is getting loaded very fast.Thanks for
the inputs.
With respect to Data Steamer, it would be really helpful if you can share
any sample code other than the one provided in documentation.
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Hello!
There's no way you will load 20,000 records in 25 minutes. That's 10
records per second. I just can't think of any reason why it might take such
monumental amount of time.
With regards to data streamer, as I have said I recommend partitioning your
data and loading every segment from its ow
Hi
We are doing POC, as a result of which we are running it in local mode.
Currently it is taking 25min to load 2 records with Cache JDBC POJO
Store.
Even i am giving the initial filter to reduce unnecessary records.
ignite.cache("PieProductRiskCache").loadCache(null,"ignite.e
Hello!
The code that you have provided will not have any edge over CacheStore.
I'm not sure that running two nodes on the same machine is a sound approach
for benchmarking data load speed. Are you sure that performance is not
sufficient? What is actual run time and your expectations?
Regards,
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I am having two nodes running on local machine.
Following is the logic i implemented to load data using Data Steamer.Can you
please check whether the implementation is correct and also can you please
share sample code on how to push
entries to data streamer from multiple threads
public class Per
Hello!
Load Cache will pull all rows from result set on all nodes. How many nodes
do you have?
10 million rows is actually a very modest number. I could understand you
worrying if you had 10B rows.
The best approach is to partition your table and push entries to data
streamer from multiple threa
Hi,
I have multiple oracle tables with more than 10 million rows. I want to load
these tables into Ignite cache.To load the cache I am using Cache JDBC Pojo
Store by getting the required project structure from Web Console.
But Loading the data using cache JDBC POJO Store (i.e.
ignite.cache("Cache
