Re: SW recommendation: Ignite Native Persistence for traditional relational data warehouse?

Are you available for a verbal conversation? I would invite a solution architect on a call to figure out if Ignite works or not for your use case. - Denis On Wed, May 15, 2019 at 10:17 PM Denis Magda wrote: > Hi, > > But after seeing your explanation below I understand that option 2 above is

Re: SW recommendation: Ignite Native Persistence for traditional relational data warehouse?

Hi, But after seeing your explanation below I understand that option 2 above is > not really the way Ignite is supposed to be used - even if it is on top of > hadoop. Did I get that right? In this configuration, Ignite will not be on top of Hadoop, it will be close to it - deployed as separate

Re: IgniteFileSystem.create(...) Question--File Properties?

Hello! We are using it as a standalone, in order to create a distributed file system for a (hopefully) fast cache of a few hours of data. We are not using it in front of Hadoop, although there is some discussion of eventually backing it with Cassandra, should we decide to keep more than a few

Ignite in client Mode: outofMemory error with TCP discovery

Hi, Whenever, a client loses connection with ignite cluster, it throws out an OutOfMemory error. Can you please see if you can explain this behavior? The ignite client had 1G memory set on XMS and XMX... and a very few clients active. Now it is quite possible that ignite clients lose

Re: Timestamp with Python thin client

I believe, it's OK to pass tuple for timestamp in python, but you also should add a tip for the client to inform it you are going to store timestamp value. Take a look at tests for example: [1] 1 - https://github.com/apache/ignite/blob/master/modules/platforms/python/tests/test_datatypes.py#L80

C++ Thin Client Lacks PC File

I created a JIRA for this, but curious if this was intentional or anyone had a workaround for this. Basically when building the thin client as described no PC file is created. This is something I'm going to need to ease others linking in this code.

Re: Metrics to get size of cache in memory

Gupabhi, Memory-related metrics are available on data region level. You can see, how much space is occupied by each data region on every node. You can find available metrics here: https://apacheignite.readme.io/docs/memory-metrics Denis ср, 15 мая 2019 г. в 01:21, gupabhi : > Hello, > I'm

Re: Timestamp with Python thin client

Thank you. I will try to create a code line to reproduce it, but I remember the following: when you do a 'select' query on a timestamp column with the Python thin client, you get a tuple. Because of that, I assumed that a tuple also had to be written in an update query. Kind regards, Stéphane

Re: Timestamp with Python thin client

Stéphane, Can you sharer a code line, how do you try to store timestamp value? Best Regards, Igor On Tue, May 14, 2019 at 7:23 PM Denis Mekhanikov wrote: > Stéphane, > > Could you provide the code, that results in this exception? > Do you try to insert the tuple as a single field via SQL?

Re: SW recommendation: Ignite Native Persistence for traditional relational data warehouse?

Hi Denis, Thank you very much for a good response. Definitely helps. Hope I can ask one follow-up question which I feel I did not make so clear from the beginning: The business has a very strong (non-negotiable) requirement on that the data warehouse should be modeled with high normalisation.