A Short Introduction to Lock Avoidance

By | In DB2 | May 29th, 2017

Lock avoidance is a mechanism employed by DB2 for z/OS to access data without locking while still maintaining data integrity. It prohibits access to uncommitted data and serializes access to pages. Lock avoidance improves performance by reducing the overall volume of lock requests. After all, let’s face it, the most efficient lock is the one never taken.

Of course, even if it is not taking a lock, DB2 must still maintain the integrity of its data. Instead of taking a lock, DB2 uses a latch. To take advantage of Lock Avoidance, the SQL statement must be Read Only and the plan must be bound with Isolation Level Cursor Stability (CS) and CURRENTDATA(NO).

In general, DB2 avoids locking data pages if it can determine that the data to be accessed is committed and that no semantics are violated by not acquiring the lock. DB2 avoids locks by examining the log to verify the committed state of the data.

When determining if lock avoidance techniques will be practical, DB2 first scans the page to be accessed to determine whether any rows qualify. If none qualify, a lock is not required.

For each data page to be accessed, the RBA of the last page update (stored in the data page header) is compared with the log RBA for the oldest active unit of recovery. This RBA is called the Commit Log Sequence Number, or CLSN. If the CLSN is greater than the last page update RBA, the data on the page has been committed and the page lock can be avoided.

Additionally, a bit is stored in the record header for each row on the page. The bit is called the Possibly UNCommitted, or PUNC, bit. The PUNC bit indicates whether update activity has been performed on the row. For each qualifying row on the page, the PUNC bit is checked to see whether it is off. This indicates that the row has not been updated since the last time the bit was turned off. Therefore, locking can be avoided. (Note that there is no external method for DBAs to use to determine whether a row’s PUNC bit is on or off.)

If neither CLSN nor PUNC bit testing indicates that a lock can be avoided, DB2 acquires the requisite lock.

In addition to enhancing performance, lock avoidance improves data availability. Data that without lock avoidance would have been considered locked, and therefore unavailable, can now be accessible.

Lock avoidance is used only for data pages. Further, DB2 Catalog and DB2 Directory access does not use lock avoidance techniques. You can avoid locks under the following circumstances:

  • For any pages accessed by read-only or ambiguous queries bound with ISOLATION(CS) and CURRENTDATA NO
  • For any unqualified rows accessed by queries bound with ISOLATION(CS) or ISOLATION(RS)
  • When DB2 system-managed referential integrity checks for dependent rows caused by either the primary key being modified, or the parent row being deleted and the DELETE RESTRICT rule is in effect
  • For both COPY and RUNSTATS when SHRLEVEL(CHANGE) is specified

To determine the impact of lock avoidance on your system, you can review DB2 trace records. IFCIDs 218 and 223 provide CLSN information, and IFCIDs 226 and 227 provide ‘wait for page latch’ information.

Avoiding locks can improve the performance of your queries and programs that satisfy the preceding requirements. To encourage DB2 to avoid locks, BIND your plans and packages specifying ISOLATION(CS) and CURRENTDATA NO. Furthermore, avoid ambiguous cursors by specifying FOR READ ONLY for all cursors that are not used for updating.

This post was originally posted on Craig Mullins’ blog: http://db2portal.blogspot.com/2009/03/short-introduction-to-lock-avoidance.html


Craig Mullins
Consultant at Mullins Consulting, Inc
Craig S. Mullins is working with Datavail and its DB2 practice to expand offerings. He is president and principal consultant at Mullins Consulting, Inc. and the publisher of The Database Site. Mullins has 30 years of experience in all facets of database management and is the author of two books: “DB2 Developer’s Guide” currently in its 6th edition and “Database Administration: The Complete Guide to DBA Practices and Procedures,” the industry’s only guide to heterogeneous DBA.

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