hcq/TurboPFor-Integer-Compression
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powturbo
2015-06-01 11:25:34 +02:00
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@ -133,6 +133,7 @@ q/s: queries/second, ms/q:milliseconds/query
./icbench -a1.0 -m0 -M255 -n100m ./icbench -a1.0 -m0 -M255 -n100m
>*-zipfian distribution alpha = 1.0 (Ex. -a1.0=uniform -a1.5=skewed distribution)<br /> >*-zipfian distribution alpha = 1.0 (Ex. -a1.0=uniform -a1.5=skewed distribution)<br />
-number of integers = 100.000.000<br /> -number of integers = 100.000.000<br />
-integer range from 0 to 255<br />* -integer range from 0 to 255<br />*
@ -142,12 +143,14 @@ q/s: queries/second, ms/q:milliseconds/query
./icbench -a1.5 -m0 -M255 -ecopy/turbopack/turbopfor -n100m ./icbench -a1.5 -m0 -M255 -ecopy/turbopack/turbopfor -n100m
##### - Data files: ##### - Data files:
- Data file Benchmark (file from [DocId data set](http://lemire.me/data/integercompression2014.html)) - Data file Benchmark (file from [DocId data set](http://lemire.me/data/integercompression2014.html))
./icbench -c1 gov2.sorted ./icbench -c1 gov2.sorted
##### - Intersections: ##### - Intersections:
1 - Download Gov2 (or ClueWeb09) + query files (Ex. "1mq.txt") from [DocId data set](http://lemire.me/data/integercompression2014.html)<br /> 1 - Download Gov2 (or ClueWeb09) + query files (Ex. "1mq.txt") from [DocId data set](http://lemire.me/data/integercompression2014.html)<br />
8GB RAM required (16GB recommended for benchmarking "clueweb09" files). 8GB RAM required (16GB recommended for benchmarking "clueweb09" files).
@ -157,6 +160,7 @@ q/s: queries/second, ms/q:milliseconds/query
./idxcr gov2.sorted . ./idxcr gov2.sorted .
>*create inverted index file "gov2.sorted.i" in the current directory* >*create inverted index file "gov2.sorted.i" in the current directory*
3 - Test intersections 3 - Test intersections
@ -164,6 +168,7 @@ q/s: queries/second, ms/q:milliseconds/query
./idxqry gov2.sorted.i 1mq.txt ./idxqry gov2.sorted.i 1mq.txt
>*run queries in file "1mq.txt" over the index of gov2 file* >*run queries in file "1mq.txt" over the index of gov2 file*
##### - Parallel Query Processing: ##### - Parallel Query Processing: