We are installing Hive right now.
It is possible for you to give us some scripts that will create tables in
Hive and populate it with some test data?
This will help us with reproducing.
Thanks.
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Thanks Alexey. Please try to provide the solution as early as possible.
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Hi, @vikramT.
Actually we did not tested automatic persistence with Hive.
We will try to reproduce and I will let you know in this thread.
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The reason is in *"id"* field. According to the persistence descriptor, cache
key will be stored in "id" field, but at the same time User POJO class also
has such field. There are several options to fix this:
1) Specify another column mapping for Ignite cache key. For example:
**
2) Specify non d
hi alexey,
thank you very much for your valuable advice.
it works fine.
-seyeon
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Hi Kristian,
I looked through your pull request and left my comments in the ticket.
Before continuing the work, please go though the page [1], write a 'Hi!'
email to the dev list with your JIRA username so that they can add you to
the contributors list, and then assign the ticket to yourself.
Tha
I guess there are some failures on containers. Can you share the logs?
-Val
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Hi Anand,
I recommend you to ask on the dev@ list about this. Most likely you will get
better guidance there.
-Val
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Hi Val
Got it. Thanks.
On 8/29/16, 1:24 PM, "vkulichenko" wrote:
Anand,
Copy constructor does not make a deep copy, so instances of SPIs is the
same. This is by design, because I'm not sure this is even possible in
general case (SPIs can be provided by users and in this c
Hi,
I don't think there is a generic solution for cases when an Ignite node is
embedded into other application. You will always need to figure out what to
do with other components of this application. You can listen to Ignite
events (e.g., EVT_NODE_SEGMENTED) and act accordingly in the listener.
You can call bin/ignite.sh script on that machine. In addition, IgniteCluster
API provides startNodes() method that allows to do this programmatically on
the remote machines (it uses SSH connection).
-Val
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Ravi,
You can use data streamer [1] as an alternative. But I'm pretty sure you app
will fail on any interaction between Hibernate and Ignite. I strongly
recommend to use Maven or any other dependency management tool.
[1] https://apacheignite.readme.io/docs/data-loading
-Val
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Vinay,
If job implements ComputeJobMasterLeaveAware it will not be cancelled when
the master node fails. It also gives you a callback that notifies you about
the event so that you can save the results to be collected by something
else. You can save results in cache or use checkpoints [1].
[1] htt
Anand,
Copy constructor does not make a deep copy, so instances of SPIs is the
same. This is by design, because I'm not sure this is even possible in
general case (SPIs can be provided by users and in this case we know nothing
about them - sounds risky). I would not recommend to use copy construct
Josh,
You should use CacheManager.createCache to create it. As per spec, the
getCache() method returns 'the Cache or null if it does exist or can't be
pre-configured'. Unfortunately, CacheManager doesn't have anything like
getOrCreateCache.
-Val
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Binti,
Try to increase failure detection timeout. Note that if do this, you should
remove all other timeouts from the config (ackTimeout, networkTimeout, etc.)
as they override the failure detection timeout. I would also check the
memory usage on the node and make sure it's not running out of memo
Hi Sam,
You can use SQL query [1] for this. The actual query should look like '_key
= %January%'. But keep in mind that this is actually a cache scan and will
not be very effective from performance standpoint.
[1] https://apacheignite.readme.io/docs/sql-queries
-Val
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Is there a way to query matching keys with wild card characters? Here is the
usecase -
We have few cache defined as local and few off-heap distributed.
Some business logic need to capture all cache entries whose keys having text
"January". (key='%January%')
cache.getLike('%January%')
--Sam
Thanks. This should help analyzing OOM with incorrect sizing configuration.
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http://apacheignite.gridgain.org/v1.7/docs/cluster-config#failure-detection-timeout
Most likely a hardware or network issue (or your node could be very busy as
well).
On 8/29/16, 8:54 AM, "bintisepaha" wrote:
We see this message logged in our logs from time to time. Is this a
potential
I am trying to do the following:
CacheManager cm = Caching.getCachingProvider().getCacheManager();
Cache cache = cm.getCache("my-cache");
At this point, cm points to an instance of
org.apache.ignite.cache.CacheManager and cache points to null.
I figured that Ignite would simply create the cache
Hi
I am implementing a segmentation resolver to handle split brain scenarios. I
need to simulate network outages to unit test this behavior. Any suggestions
on how to simulate this? I see that the TcpDiscoverySpi has timeouts, is there
a way to mock TcpDiscoverySpi to think that there is a n
Hi Vladislav
Thanks. I got this to work by re-constructing the IgniteConfiguration.
However, the Javadoc of the IgniteConfiguration copy constructor is incorrect
or there is a bug in the copy constructor. I will create a JIRA.
http://ignite.apache.org/releases/1.0.0/javadoc/org/apache/ignite
Hi,
In FULL_ASYNC mode the API call returns before the update message is sent
to a remote node, let alone the response receipt from the remote node. This
means that in FULL_ASYNC mode you can stop your client even before the grid
knows that you wanted to put something in the cache. You need to use
We see this message logged in our logs from time to time. Is this a potential
issue with one of the nodes?
[tcp-disco-sock-reader-#41%DataGridServer-Staging%] ERROR
(Log4JLogger.java:495) Failed to initialize connection
[sock=Socket[addr=/10.22.50.193,port=35612,localport=47501]]
class org.apach
In our implementation, the master node submits tasks to the grid. How can
we achieve high availability by having multiple master nodes so that if the
master node dies or leaves the grid, another node can collect the results -
without having to resubmit the jobs. Also, is it possible to implement lo
Hi,
When the Ignite node.stop() is called (e.g. the default segmentation strategy),
or when the "main" thread exists, we would like to have the JVM automatically
exit as well.
We have threads from Ignite, from RxJava, Vert.x, Netty, and a "main" thread,
for boot.
We understand why the JVM
Thanks Sir. thanks for the info.
Regards,
San
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Thats great!! Thanks for quick update.
And you were supposed to update backend/frontend folder to master as per
below reply?
(It seems that we forget to push changes to ignite-1.7.
I will push all changes to master tomorrow and you will be able to start Web
Console from master.)
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Yes, SQL queries are read-only, so DB updates aren't possible.
CRUD operations using SQL are in progress now.
On Mon, Aug 29, 2016 at 10:24 AM, san wrote:
> Hi,
>
> please let know "SQL Queries" are read-only? is cache and database update
> possible using SQL Queries?
>
> https://apacheignite.
@Pawantlor, we already prepared docker and doing some internal testing of
it.
I hope it will be available this week.
I will post in this thread when it will be ready.
On Mon, Aug 29, 2016 at 4:31 PM, pawantlor wrote:
> @Alexey Do you know if the changes are pushed. Also any update on docker?
>
@Alexey Do you know if the changes are pushed. Also any update on docker?
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Hello Anand,
Ignite configuration is not reusable, because SPI stores data in internal
fields. You can made copy of configuration before first start of Ignite
instance.
I see a solution do it, using Spring scope bean attribute (if youuse Spring
configuration) like this:
On Sun, Aug 28, 2016 at
hi Val,
thank you very much for your reply and recommendations on my problem.
i changed my id due to the problem with mailing list...
i use the option FULL_ASYNC dut to the insert performance.
i ran 3 nodes of empty ignite in each server. i tried to put 10 Person
object as client mode.
i got t
Hi,
please let know "SQL Queries" are read-only? is cache and database update
possible using SQL Queries?
https://apacheignite.readme.io/v1.7/docs/sql-queries
Regards,
Sanjeev
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