Hello,
Which Ignite version do you use?
Please share exception details after "Exception during start processors,
node will be stopped and close connections" (there should be a reason in
the log, why the page delta can't be applied).
вт, 18 июл. 2023 г. в 05:05, Raymond Wilson :
> Hi,
>
> We run
“Correct” is hard to quantify without knowing your use case, but option 1 is
probably what you want. Spark pushes down SQL execution to Ignite, so you get
all the distribution, use of indexes, etc.
> On 14 Jul 2023, at 16:12, Arunima Barik wrote:
>
> Hello team
>
> What is the correct way ou
Write through works regardless of how you insert data into Ignite.
I’m not clear what you mean by federated query. Are the records in Spark a
subset of those in the cache?
Assuming not, create a data frame with a SQL query against Ignite. Create a
data frame with a SQL query against your Spark
Hi Alex,
We are using Ignite v2.15.
I will track down the additional log information and reply on this thread.
Raymond.
On Wed, Jul 19, 2023 at 2:55 AM Alex Plehanov
wrote:
> Hello,
>
> Which Ignite version do you use?
> Please share exception details after "Exception during start processors
Hi Alex,
Here is the log from the Ignite startup. It's fairly short but shows
everything I think:
2023-07-17 22:38:55,061 [1] DBG [ImmutableCacheComputeServer] Starting
Ignite.NET 2.15.0.23172
2023-07-17 22:38:55,065 [1] DBG [ImmutableCacheComputeServer]
2023-07-17 22:38:55,068 [1] DBG [Immutab
I have a query regarding the CacheWriteSynchronizationMode in
CacheConfiguration.
This enum is defined like this in the .Net client:
public enum CacheWriteSynchronizationMode
{
///
/// Mode indicating that Ignite should wait for write or commit replies
from all nodes.
/// This be
I have a huge dataset and I am keeping few (say 100) rows in Ignite and the
entire dataset remains in Spark
When I query Ignite I want to write an Sql query to perform the same.
Does option 1 still hold good?
On Tue, 18 Jul, 2023, 10:40 pm Stephen Darlington, <
stephen.darling...@gridgain.com> w
How does write through work? I mean if I add a row in Ignite dataframe, how
does it reflect to spark?
I have 50 rows in Ignite and all 100 rows in Spark.
If I perform a union all, wont the performance degrade?
I mean if will get slower than just querying spark
On Tue, 18 Jul, 2023, 10:43 pm Steph
