hsadia538 commented on issue #12070:
URL: https://github.com/apache/ignite/issues/12070#issuecomment-2895101867
Another follow up to this question
I tried to do the same in another java app and i face the same issue.
```
try (ResultSet<SqlRow> rs = client.sql().execute(null, "SELECT id FROM
mytable")) {
while (rs.hasNext()) {
SqlRow row = rs.next();
String id= row.stringValue("id"); // Extract the ID
idList.add(idList); // Add the ID to the list
}
} catch (Exception e) {
System.err.println("Error fetching ids using SQL: " +
e.getMessage());
e.printStackTrace();
}
```
Error i get is :
`Caused by:
org.apache.ignite.internal.sql.engine.exec.RemoteFragmentExecutionException:
IGN-TX-13 TraceId:7ce7b882-b2cd-45db-bc88-e746352e0b3f Transaction is already
finished () [txId=0196ee68-1f6c-0000-e5f1-efe300000001, readOnly=true].
at
org.apache.ignite.internal.sql.engine.exec.ExecutionServiceImpl.onMessage(ExecutionServiceImpl.java:610)
at
org.apache.ignite.internal.sql.engine.exec.ExecutionServiceImpl.lambda$start$4(ExecutionServiceImpl.java:302)
at
org.apache.ignite.internal.sql.engine.message.MessageServiceImpl.onMessageInternal(MessageServiceImpl.java:166)
at
org.apache.ignite.internal.sql.engine.message.MessageServiceImpl.lambda$onMessage$2(MessageServiceImpl.java:132)
at
org.apache.ignite.internal.sql.engine.exec.QueryTaskExecutorImpl.lambda$execute$0(QueryTaskExecutorImpl.java:86)
at
java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1144)
at
java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:642)
... 1 more`
the above is from cluster logs and everything just fails after this.
What i dont understand( or confused about) is that it seems to be a simple
read operation. Is there no straightforward way of reading data from ignite
like this. Am I missing something.
In the ignite documentation, I searched for the error **IGN-TX-13 ** but
there are no leads on how to resolve this.
My usecase is very basic i-e writing some data and reading it. I am not even
using multiple nodes etc and everything is running locally.
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