Database Benchmark: Unterschied zwischen den Versionen
Aus Geoinformation HSR
Stefan (Diskussion | Beiträge) K (→Weblinks / References) |
Stefan (Diskussion | Beiträge) K |
||
| Zeile 1: | Zeile 1: | ||
| − | + | Synonym: Database Contest. | |
| − | |||
| − | |||
| − | == About Database Performance Benchmarking | + | See also: "Performance-Vergleich von PostgreSQL, SQLite, db4o und MongoDB" [http://wiki.hsr.ch/Datenbanken/wiki.cgi?SeminarDatenbanksystemeHS1112 Seminar Database Systems Autumn 2011/2012], Master of Science in Engineering, HSR. |
| + | |||
| + | == Spatial Database Benchmarks | ||
| + | * [[HSR Texas Geo Database Benchmark]] - Comparing PostGIS, | ||
| + | * Spatial Overlay/Clipping: | ||
| + | ** "ArcGIS vs QGIS etc Clipping Contest Rematch revisited": [http://courses.neteler.org/arcgis-vs-qgis-etc-clipping-contest-rematch-revisited/] | ||
| + | ** Clipping Contest with Spatialite: [https://www.gaia-gis.it/fossil/libspatialite/wiki?name=benchmark-4.0] | ||
| + | |||
| + | See also: | ||
| + | * Comparing Lucene/Solr with PostGIS [http://wiki.hsr.ch/Datenbanken/SeminarDBS1ThemaWolski Seminar Database Systems Autumn 2013/2014], Master of Science in Engineering, HSR. | ||
| + | |||
| + | == About Database Performance Benchmarking == | ||
Existing DB-Benchmarks: | Existing DB-Benchmarks: | ||
Version vom 6. Januar 2014, 23:16 Uhr
Synonym: Database Contest.
See also: "Performance-Vergleich von PostgreSQL, SQLite, db4o und MongoDB" Seminar Database Systems Autumn 2011/2012, Master of Science in Engineering, HSR.
== Spatial Database Benchmarks
- HSR Texas Geo Database Benchmark - Comparing PostGIS,
- Spatial Overlay/Clipping:
See also:
- Comparing Lucene/Solr with PostGIS Seminar Database Systems Autumn 2013/2014, Master of Science in Engineering, HSR.
About Database Performance Benchmarking
Existing DB-Benchmarks:
- TPC-C for OLTP benchmarks.
- TPC-R & TPC-H (formerly TPC-DS) for data warehouse & decision support systems.
- TPC-W benchmark for Web-based systems.
- "The Engineering Database Benchmark".
- Open Source Database Benchmark
- PolePosition open source database benchmark [3]
Guidelines
A database performance benchmark hast to consider following different aspects:
- Cold and warm start (beware that in case of warm start chaching will take place!).
- Equality and Range Queries.
- Query-Result Sets, which respond with one tupel or which respond more than half of the tupels in the dataset.
- Single User versus Multi-user.
Software (Scritps) for benchmark automation:
- PostgreSQL hstore Benchmark - Benchmarking in Python by Michel Ott, 2011.
- pgbench - Benchmark tool for PostgreSQL.
Weblinks / References
- "The Engineering Database Benchmark", Rick Cattell, PDF.
- Open Source Database Benchmark
- http://www.delicious.com/sfkeller/database+benchmark and http://www.delicious.com/tag/database,benchmark/alltime
