| Bug #20252 | NDB API: NdbIndexScanOperation::readTuples ignores the batch parameter | ||
|---|---|---|---|
| Submitted: | 4 Jun 2006 0:04 | Modified: | 4 Jul 2006 15:07 |
| Reporter: | Anatoly Pidruchny (Candidate Quality Contributor) | ||
| Status: | Closed | ||
| Category: | Server: Cluster | Severity: | S3 (Non-critical) |
| Version: | 5.0.21-max | OS: | Any (all) |
| Assigned to: | Jonas Oreland | Target Version: | |
[4 Jun 2006 0:05]
Anatoly Pidruchny
The batch parameter of readTuples function is ignored.
Attachment: batch_param_ignored.cpp (application/octet-stream, text), 8.95 KiB.
[5 Jun 2006 14:54]
Valeriy Kravchuk
Changed category to a more appropriate one.
[6 Jun 2006 9:58]
Jonas Oreland
Hi, This is something that has been on my todo for ages now. Great that there now is a bug report, then we hopefully get around to fix it. /Jonas
[27 Jun 2006 11:41]
Bugs System
A patch for this bug has been committed. After review, it may be pushed to the relevant source trees for release in the next version. You can access the patch from: http://lists.mysql.com/commits/8302
[27 Jun 2006 12:02]
Jonas Oreland
Hi Would you like to apply patch, and test it before I push it ? /Jonas
[27 Jun 2006 18:49]
Anatoly Pidruchny
Hi, Jonas, thank you very much for taking care of this issue. I am going to apply the patch and test it today. Anatoly.
[28 Jun 2006 2:01]
Anatoly Pidruchny
Hi, Jonas, I have applied and tested the patch today. It worked like a charm! Please push it to the main and public repositories when you are ready. I hope the fix will also be propagated to version 5.1. Thanks, Anatoly.
[28 Jun 2006 11:42]
Bugs System
A patch for this bug has been committed. After review, it may be pushed to the relevant source trees for release in the next version. You can access the patch from: http://lists.mysql.com/commits/8388
[29 Jun 2006 11:50]
Tomas Ulin
pushed to 5.1.12
[4 Jul 2006 13:40]
Jonas Oreland
pushed into 5.0.24
[4 Jul 2006 15:07]
Jon Stephens
Thank you for your bug report. This issue has been committed to our source repository of
that product and will be incorporated into the next release.
If necessary, you can access the source repository and build the latest available
version, including the bug fix. More information about accessing the source trees is
available at
http://www.mysql.com/doc/en/Installing_source_tree.html
[4 Jul 2006 15:11]
Jon Stephens
Documented bugfix in 5.0.23/5.1.12 changelogs; updated NDB API Guide method descriptions with note about this parameter's behaviour.
[13 Jul 2006 5:29]
Paul DuBois
5.0.x fix went to 5.0.25 instead.
Description: As documented in Ndb.hpp, the batch parameter of the NdbScanOperation::readTuples() and NdbIndexScanOperation::readTuples controls how many rows will be locked per fragment. This same parameter specifies how many records will be returned to the client from the server by the NdbScanOperation::nextResult(true) operation. Our testing and then looking at the source code showed that the batch parameter is really ignored. In fact, the readTuples() function with the batch parameter in the NdbScanOperation.hpp is even effectively removed, because it is defined under some macro "ndb_readtuples_impossible_overload", and its signature is the same as the signature of another readTuples function with no batch parameter. The NdbIndexScanOperation.hpp has the readTuples funciton with the batch parameter, but it is also ignored: inline int readTuples(LockMode lock_mode, Uint32 batch, Uint32 parallel, bool order_by, bool order_desc = false, bool read_range_no = false) { Uint32 scan_flags = (SF_OrderBy & -(Int32)order_by) | (SF_Descending & -(Int32)order_desc) | (SF_ReadRangeNo & -(Int32)read_range_no); return readTuples(lock_mode, scan_flags, parallel); } We need to use the batch parameter, because we want to avoid excessive locking of records during scans with an exclusive lock. One of the very important features of our application requires finding one record, doing a scan with exclusive lock, then updating this one record. Several processes with multiple threads are going to do this operation in parallel, so it is vital that the operation does not lock many records unnecessarily. It is OK to lock 2 records instead of 1 (if there are 2 data fragments), but it is not OK to lock more then a hundred records, when really only one record is going to be updated. I think the NDBCLUSTER engine of the MySQL could also benefit if it uses the batch parameter for SELECT ... FOR UPDATE LIMIT x statements. How to repeat: Please see the attached test program. During my testing on a test 2 ndbd-node Cluster, this program prints: populate: Success! Real Batch Size is 123 Real Batch Size is 6 Real Batch Size is 20 Real Batch Size is 1 scan_print: Success! If the batch parameter were not ignored, then the output would always have Real Batch Size 1, because the test Cluster has only one data fragment. Suggested fix: 1. In NdbScanOperation.hpp, add the batch parameter into the readTuples function in NdbScanOperation class with default value 0. Value 0 means max performance. 2. Add a m_batchSize field into the NdbScanOperation class. The function NdbScanOperation::readTuples should save the batch parameter into the m_batch field. 3. In NdbIndexScanOperation.hpp, add the batch parameter into the first readTuples function in NdbIndexScanOperation class with default value 0. Make the second inline readTuples function pass the batch parameter to the first readTuples function. In the implementation, pass the batch parameter from the NdbIndexScanOperation::readTuples to the NdbScanOperation::readTuples. 4. In the NdbScanOperation.cpp, make the function NdbScanOperation::prepareSendScan take into account the value of the m_batchSize field. It should assign the m_batchSize to the batch_size local variable. NdbScanOperation::prepareSendScan calls NdbReceiver::calculate_batch_size function to calculate the batch size. The batch_size parameter of the NdbReceiver::calculate_batch_size function should be used as in-out, not as just out parameter. The function NdbReceiver::calculate_batch_size should just accept the passed value of the batch_size parameter, if it is greater then 0 and less then the value that would be calculated by this function. If the value of the batch_size parameter is 0 or greater then the maximum possible value, then use the calculated maximum possible value.