Hi,
Actually it’s not a difficult task to write a cache entry in a byte
representation into a storage if it’s needed.
The easiest way is just to take an instance of a marshaller that is globally
used (ignite.configuration().getMarshaller()) and convert a value and a key of
an entry passed to
If I have two domain objects lets say A, B, do I need to put them in the same
cache to use Affinity key mapping? Or can it work with different caches?
--
View this message in context:
http://apache-ignite-users.70518.x6.nabble.com/Affinity-Key-Mapping-tp5212.html
Sent from the Apache Ignite
Hi,
thank you!
This's the schema.
id character varying(50) NOT NULL,
openid character varying(50) NOT NULL,
yyyappid character varying(50) NOT NULL,
logtime timestamp without time zone DEFAULT now(),
clienttime timestamp without time zone NOT NULL,
logaction character varying(10) NOT
Thanks for reply.
And Yes, the system runs well, though it occurs.
I hope the next version would be released soon.
Sincerely,
Andrew
--
View this message in context:
http://apache-ignite-users.70518.x6.nabble.com/Exception-when-starting-second-node-tp5164p5207.html
Sent from the Apache Ignite
| Also it would be interesting to see result of
| SELECT count(*) from the query above in both cases.
(number of rows = 2 798 685)
SELECT count(*) FROM postgresTable;
456 ms
SELECT count(*) FROM postgresTable;
314 ms
SELECT count(*) FROM igniteTable;
9746 ms
SELECT count(*) FROM igniteTable;
Hello,
At now I have only one node, but I am going to add more machines (in one
local network).
What should I know to do it ?
I have PARTITIONED type of cache.
Hot loading (my use case is caching postgresql) is done on one machine.
How to force ignite to distribute these rows to all
| Also it would be interesting to see result of
*| SELECT count(*) from the query above in both cases.*
(number of rows = 2 798 685)
SELECT count(*) FROM postgresTable;
456 ms
SELECT count(*) FROM postgresTable;
314 ms
SELECT count(*) FROM igniteTable;
9746 ms
SELECT count(*) FROM igniteTable;
Hi
We have downloaded the 1.6.0 binaries from the following link,
http://ignite.apache.org/download.cgi#binaries
Among following command as mentioned in DEVNOTES.txt, we have completed all
commands except the final make command
Platform : Linux
libtoolize && aclocal && autoheader &&
Yes, I did mean:
**
2016-05-25 13:52 GMT+02:00 vkulichenko :
> Did you forget to paste something here? What options are you asking about?
>
> -Val
>
>
>
> --
> View this message in context:
>
What's the relationship between Ignite and H2? My sense is that H2 creates,
updates, and queries indexes built on cached values, while Ignite handles
actual data storage (e.g. cache, vs records in a data file) and distributing
queries and gathering results to/from cache nodes. Thus, H2 isn't
Server Node.
Disabled Backups. But all changes are SYNCED synchronously.
Caches are all partitioned and there are 4 caches.
--
View this message in context:
http://apache-ignite-users.70518.x6.nabble.com/Ignite-Transaction-performance-tp5085p5199.html
Sent from the Apache Ignite Users mailing
Hello Denis,
I am not trying to add this to production, I am investigating the
feasibility of having a CacheStore that writes to HBase or something similar
in a byte[] representation of the BynaryObject, as it is more efficient than
java.io.
I am trying to see what I can do with the API, as I
Hello Alexei, Thanks again for your time,
by a lot more compact I mean that a object like:
Entity entity = Entity
.build()
.withId("12345")
.withField("value field")
.withOtherField(33)
.build();
using java.io
Val,
Its correct that its so. Hwoever If I add one more node, this adds serious
overhead. if I add more threads and start giving more concurrent inputs some
transactions start slowing down with some going more than 3 seconds !!!.
However I read about affinity key, does it help while inserting
This is possible under some circumstances, see this ticket (should be fixed
soon): https://issues.apache.org/jira/browse/IGNITE-3197
This exception should be harmless, only flooding the logs. Is this the case
for you?
-Val
--
View this message in context:
Thanks. That was precisely my concern, and I appreciate the guidance.
--
View this message in context:
http://apache-ignite-users.70518.x6.nabble.com/Downsides-of-Spark-Ignite-for-extended-cache-management-and-access-tp5154p5191.html
Sent from the Apache Ignite Users mailing list archive at
Hi,
ROWNUM is not supported, and I'm not sure it's possible to properly
implement it in the distributed environment.
How do you intend to use it?
-Val
--
View this message in context:
http://apache-ignite-users.70518.x6.nabble.com/How-can-I-use-H2-database-ROWNUM-function-tp5161p5190.html
Do you have only one node? Can you attach the log file?
-Val
--
View this message in context:
http://apache-ignite-users.70518.x6.nabble.com/View-contents-of-cache-tp5118p5192.html
Sent from the Apache Ignite Users mailing list archive at Nabble.com.
Hi,
IgniteRDD is useful when you already have a Spark application and want to
use Ignite as an underlying storage to share the state between different
Spark jobs (which is not possible with plain Spark) and to get advantage of
fast indexed SQL queries provided by Ignite (there are no indexes in
Why did you implement validateNode() method? It's not a security concept,
it's just a generic way that can be used by components to check the node
validity (e.g., to avoid misconfiguration). Looks like in your case it
always return result which is the reason of the failure (for valid node it
Do you mean that it takes 22 seconds to execute 10 transactions? This
means around 0.2ms per transaction, which seems to be good latency. Note
that you're executing them synchronously in a single thread, waiting for the
network each time. If you need to increase throughput, you should run more
Hi Graham,
Note that all nodes in topology have to be able to connect to each other in
both directions. Looks like one of your nodes can accept connections, but
can't create them (or other way around). Probably your Windows box has a
firewall enabled?
-Val
--
View this message in context:
Thank you for your answer!
Unfortunately it doesn't help. I copyed ignite-rest-http folder to lib, add
this module to dependancies and started node but I still unable to get
access to the site
http://node1:8080/ignite?cmd=size=myCache
--
View this message in context:
Did you forget to paste something here? What options are you asking about?
-Val
--
View this message in context:
http://apache-ignite-users.70518.x6.nabble.com/meaning-of-backup-options-tp5134p5180.html
Sent from the Apache Ignite Users mailing list archive at Nabble.com.
Hi Scott,
I think you should definitely try Ignite for your use case. It will allow
you to have scalable caches to store the data and different ways to read and
process the data, like SQL queries and map-reduce. We also have
transactional support, streaming capabilities and many other features
For postgres test I mean initial jdbc query and result set traversal.
For Ignite I mean sql query and iterator traversal.
Also it would be interesting to see result of
*SELECT count(*) from the query above in both cases.*
2016-05-25 12:00 GMT+03:00 Tomek W :
> [image:
[image: Obraz w treści 1]
What code do you mean ? JDBC client ?
2016-05-25 10:25 GMT+02:00 Alexei Scherbakov :
> What's the batch size for postgresql ?
> What's the size of one entry ?
> Could you provide the test code for both postgres and Ignite (just the
> query
[image: Obraz w treści 1]
What code do you mean ? JDBC client ?
*Additional test:*Before, I tested with 3000 000 rows. Now, I tested with
5000 000 rows.
*SELECT * FROM table WHERE A> 1614289770;*
*Postgresql: *38s.
*Ignite: *10s.
So, it seems that Ignite defeated postgresql.
What do yout
Hi,
You can marshall and unmarshall BinaryObject using marshaller like any
other type.
BTW, what are you trying to achieve ?
If you store cache values as byte arrays, you need to deserialize them on
each data access to do something useful.
And how do you conclude "as its a lot core compact" ?
What's the batch size for postgresql ?
What's the size of one entry ?
Could you provide the test code for both postgres and Ignite (just the
query + read with the time estimation) ?
2016-05-25 11:13 GMT+03:00 Tomek W :
> | How many entries are downloaded to the client in
| How many entries are downloaded to the client in both cases?
3000 000
| Do the both queries involve network I/O ?
No, I have only local one server (for testing purpose).
2016-05-25 9:59 GMT+02:00 Alexei Scherbakov :
> SELECT * is not really a good test query.
>
SELECT * is not really a good test query.
It's result can be affected not only by engine performance.
How many entries are downloaded to the client in both cases?
Do the both queries involve network I/O ?
2016-05-25 7:58 GMT+03:00 Denis Magda :
> In general Ignite is
Hi,
Thank you for the response.
It works now.
Regards,
Debasish
--
View this message in context:
http://apache-ignite-users.70518.x6.nabble.com/Unordered-Messages-do-not-arrive-on-a-different-Thread-tp5160p5165.html
Sent from the Apache Ignite Users mailing list archive at Nabble.com.
Hi,
We are testing with Ignite v1.6.
It was OK with Ignite v1.5 but after upgrade to v1.6, we encountered an
Exception like below.
The exception occurs only at starting second node.
We are executing 1 client and 1 server node on 1 JVM(2 ignite nodes on 1 JVM).
The client goes first then if the
I want to get rownum from the sql query.
But when I use the H2 database ROWNUM() function
I got Exception.
Caused by: class org.apache.ignite.IgniteCheckedException: Unsupported
expression: ROWNUM() [type=Rownum]
at
Hi There!
While experimenting with Topic Based Messaging I found that the Listener
cannot receive unordered messages if the listener is on another Java Thread.
This limitation does not hold true for ordered messaging.
I am attaching the Java Project as a Zip file.
Please let me know what's wrong.
36 matches
Mail list logo