IP Library Granted Patent US 8,818,991
Granted Patent B2
US 8,818,991 · App. 12/646,716 · Granted Aug 26, 2014

Apparatus and method for analyzing query optimizer performance

View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 8,818,991
App. No.
12/646,716
Granted
Aug 26, 2014
Kind
B2
Abstract

A method of analyzing the performance of a query optimizer includes identifying an event trigger. A reproduction object characterizing operational parameters of the customer computer at the time of the event trigger is populated. The reproduction object is transported from the customer computer to a test computer. The reproduction object is analyzed at the test computer to characterize the performance of a query optimizer.

Claims (24)

1. A method of analyzing the performance of a query optimizer, comprising:

interrogating in response to an event trigger software components of a query optimizer of a customer computer to collect serialized data, said event trigger being selected from a query optimizer crash, the submission of a specified query, and a request for a reproduction object;

populating at the customer computer a reproduction object characterizing operational parameters of the customer computer at the time of the event trigger, the operational parameters comprising said serialized data, query and database information, and system information characterizing physical machines that process a query execution plan object, the operational parameters further including an input query, a query plan object, database schema information, database statistics and physical machine data;

transporting the reproduction object from the customer computer to a test computer; and

analyzing the reproduction object at the test computer to characterize the performance of the query optimizer.

2. The method of claim 1 wherein analyzing includes analyzing a query optimizer crash.

3. The method of claim 1 wherein analyzing includes analyzing a suboptimal query plan.

4. The method of claim 1 wherein analyzing includes analyzing an incorrect query plan.

5. The method of claim 1 wherein analyzing includes analyzing a query optimization workflow.

6. The method of claim 1 wherein analyzing includes performing a what-if scenario.

7. A customer computer, comprising:

a processor; and

a memory connected to the processor, the memory storing a collection module including instructions to cause the processor to:

interrogate in response to an event trigger software components of a query optimizer of the customer computer to collect serialized data,

populate a reproduction object characterizing operational parameters of the customer computer at the time of the event trigger, the operational parameters comprising said serialized data, query and database information, and system information characterizing physical machines that process a query execution plan object, and

transport the reproduction object from the customer computer to a test computer for query optimizer performance analysis, wherein the event trigger is selected from a query optimizer crash, the submission of a specified query and a request for a reproduction object, and the operational parameters include an input query, a query plan object, database schema information, database statistics and physical machine data.

8. A test computer, comprising:

a processor; and

a memory connected to the processor, the memory storing an analysis module including instructions to cause the processor to:

analyze a reproduction object characterizing operational parameters of a customer computer at the time of an event trigger to characterize the performance of a query optimizer of the customer computer, the operational parameters comprising serialized data from software components of said query optimizer, query and database information, and system information characterizing physical machines that process a query execution plan object, and wherein the operational parameters further include an input query, a query plan object, database schema information, database statistics and physical machine data, and wherein said event trigger includes a query optimizer crash.

9. The test computer of claim 8 wherein the executable instructions to analyze include executable instructions to analyze a suboptimal query plan.

10. The test computer of claim 8 wherein the executable instructions to analyze include executable instructions to analyze an incorrect query plan.

11. The test computer of claim 8 wherein the executable instructions to analyze include executable instructions to analyze a query optimization workflow.

12. The test computer of claim 8 wherein the executable instructions to analyze include executable instructions to analyze a what-if scenario.

Assignments (5)
MERGER Recorded May 20, 2026
From: PIVOTAL SOFTWARE, INC.
To: VMWARE LLC
Reel/Frame 075613/0980 →
CHANGE OF NAME Recorded Jan 7, 2014
From: GOPIVOTAL, INC.
To: PIVOTAL SOFTWARE, INC.
Reel/Frame 031935/0789 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 23, 2013
From: EMC CORPORATION
To: GOPIVOTAL, INC.
Reel/Frame 030488/0253 →
MERGER Recorded Sep 1, 2010
From: GREENPLUM, INC.
To: EMC CORPORATION
Reel/Frame 024915/0502 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 23, 2009
From: HAGENBUCH, BRIAN; NARAYANAN, SIVARAMAKRISHNAN; WHIPKEY, CHAD WILLIAM; WAAS, FLORIAN
To: GREENPLUM, INC.
Reel/Frame 023701/0120 →