Brett is right, please ignore my other posting. I missed that same key was being looked at. Derby uses locking to implement sql concurrency which leads to this behavior. Other products (or instances of products depending on what storage engine mysql is using), may use versioning instead which may result in different behavior. I believe the Derby behavior
is within the SQL standard, but is less concurrent than a versioning scheme.

/mikem

On 2/7/2014 11:20 AM, Bergquist, Brett wrote:
I think this is the behavior as described in this document:

http://docs.oracle.com/javadb/10.5.3.0/devguide/rdevconcepts8424.html

See the table entry on read-committed and it looks like the insert statement 
has an exclusive lock on inserted record and as such the select by T2 for that 
specific record will block on the exclusive lock.

-----Original Message-----
From: Jacopo Cappellato [mailto:[email protected]]
Sent: Friday, February 07, 2014 12:59 PM
To: [email protected]
Subject: Unexpected behavior for concurrent selection of an uncommitted record 
inserted in a different thread

Hi all!

While I was writing some unit tests for the Apache OFBiz project (that by 
default runs on Derby) I noticed a behavior of Derby that I didn't expect and I 
would love to get your opinion.
Here is my use case:

* Derby 10.10.1.1
* there are two concurrent transactions T1 and T2
* isolation level is "Read Committed"
* in transaction T1 a record with primary key 123 is inserted in a table; then 
other long running tasks are executed (i.e. the transaction is not immediately 
committed)
* in the meantime T2 attempts to select from the same table the record with 
primary key 123

Behavior: T2 blocks on the select statement waiting for transaction T1 to 
release the write lock; this can cause a lock wait timeout Expected behavior: 
since T1 is not committed, T2 should not be able to select the record; I was 
expecting that the select statement in T2 would return an empty result set 
rather than blocking waiting for the lock held by T1 to be released; in fact 
this is what we get with MySQL and Postgres.

What do you think?

Thanks,

Jacopo Cappellato


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