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Real-time Query Processing Roger Blake CSC 536 May 2, 2005.

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Presentation on theme: "Real-time Query Processing Roger Blake CSC 536 May 2, 2005."— Presentation transcript:

1 Real-time Query Processing Roger Blake CSC 536 May 2, 2005

2 Real-time Query Processing - Agenda Description of RTDBs Aspects of real-time query processing Real-time query approaches Query processing in conventional and real-time DBMS’s

3 In order to be a real-time database, it needs to have: But you already knew that…what may not have been so clear are some of the misconceptions about real-time databases… Description of real-time databases –Timing constraints (deadlines), and –Temporal data (data validity related to time)

4 Description of real-time databases Here are a few misconceptions about real- time databases that have persisted –Must be special purpose and highly specialized –Must be fast –Must be in-memory There is not complete consensus, especially in practice, about what a real- time database even is

5 Aspects of real-time query processing Timing constraints (deadlines) Soft: A query missing a deadline results in less value than if the deadline were met Firm: A query missing a deadline means the results are useless Hard: A query missing a deadline means system failure Topology Distributed: A query references data on more than one machine Single node: A query uses data on a single machine, which is possibly at least partially on disk Embedded: The real-time database are queries are entirely in-memory and make use of a dedicated processor Periodicity and timings Dynamic: Queries and their timings are not known in advance, and can not be estimated or bounded Extended Static: Queries and their timings are not known in advance but can either be bounded or estimated with a degree of certainty Static: Queries and their timings are known in advance and are deterministic

6 Real-time query approaches Priority Memory Management (PMM) algorithm –Prioritizes queries by EDF –Queues and admits queries –Allocates memory to each query based on min/max –Adjusts memory allocations based on resource utilization

7 Real-time query approaches B-tree indexing for real-time queries –Starting point is a conventional B-tree with queries prioritized by EDF

8 Real-time query approaches B-tree indexing for real-time queries (cont’d) –As each query searches a node, it locks that node and all its child nodes for either read or write. –If there is a conflict, the query with the lowest priority restarts at the top of the tree –Rebalancing operations have the lowest priority

9 Real-time query approaches R-tree – similar to algorithms used for non-real-time distributed queries 4 physical locations mapped by the R-tree

10 Real-time query approaches R-tree adapted for real-time queries:

11 Real-time query approaches Freshness for base and derived real-time data –Prioritizes queries by EDF –Calculates Access Update Ratio (AUR) for each data item (access frequency / update frequency) –Uses (and adjusts) an AUR threshold for when data is updated

12 Query processing in conventional and real-time DBMS’s A conventional DBMS has several cross purposes with a real-time DBMS. –Multiple platforms or versions  abstraction from hardware/OS –Measured by TPC-D  performance rules –ACID properties inviolate  may be incompatible with real-time constraints

13 Query processing in conventional and real-time DBMS’s But conventional DBMS’s are sometimes used for data with temporal aspects, e.g. decision support systems (DSS) select city.name, sum(package.weight)from package /*real-time*/, city/*stored*/where package.weight > 100 and package.service = 'priority' and package.zip = city.zip group by city.name

14 Query processing in conventional and real-time DBMS’s Conventional DBMS's Real-time DBMS's Timing constraints (deadlines) SoftFirmHard TopologyDistributedSingle nodeEmbedded Periodicity and timings DynamicExtended StaticStatic

15 Real-time query processing Algorithms have been developed for many aspects of real-time query processing Conventional DBMS’s don’t handle real- time queries except by ‘brute force’ and possibly some of the algorithms we’ve seen Challenges remain for real-time query processing –Security –Fault tolerance –Scalability –Generalization


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