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COMS 4112 Project 2, Stage 2 Implementation of Algorithm 4.11 Richard Chiou (rc2758) Jennifer Lam (jl3953) There is one directory containing all relevant files for your convenience. Important Files: BasicTerm.java: Defines the BasicTerm object class. Used in Subset. Costs.java: The Cost Model of the CPU, given by config.txt. Subset.java: A subset (collection) of BasicTerms, with costs and pointers to other subsets (children) representing plan execution. Metric.java: A helper class used for testing the C- and D-metrics. Algorithm4_11.java: The complete implementation of Algorithm 4.11, plus a function to output the plan of the code. Execution.java: The main executable file. Reads in config.txt and query.txt parameters to initialize the parameters and sensititivities. output.txt: Generated upon running java execution query.txt config.txt. (Note that this is different from the sample execution file, sampleoutput.txt - see below.) Summary: This tarball implements Algorithm 4.11 described in the paper by Ken Ross et al with the following conditions: * Algorithm NoBranch can only be applied to the last &-term in the optimal plan. * The left node of a &&-expresion is always an &-term. * The costs of applying functions are equal for all functions. * The maximum subset size is approximately 9. Usage: make ./stage2.sh query.txt config.txt Query.txt format: Each line of the query file contains a space-separated list of doubles representing the selectivities of the basic terms. Sample query file submitted: 0.8 0.5 0.3 0.2 0.2 0.1 0.9 0.6 0.75 0.8 1 0.9 0.8 0.8 0.9 0.7 0.7 0.7 0.05 0.1 0.05 0.1 Config.txt format: A list of costs estimatd from CPU specificiation. The values of the Clic machines, used in the default file, are listed below: r = 1 t = 2 l = 1 m = 16 a = 2 f = 4 Sample Query Tests and C code Output: (See sampleoutput.txt) ===================================================== 0.8 0.5 0.3 0.2 // Selectivies of basic terms - from query.txt ----------------------------------------------------- if((t4[o4[i]])) && (((t3[o3[i]]))){ // C code to execute query answer[j] = i; j += (t1[o1[i]] & t2[o2[i]]); } ----------------------------------------------------- Cost: 13.34 // Optimal Cost given by the algorithm ===================================================== 0.2 0.1 0.9 ----------------------------------------------------- if((t2[o2[i]])) && (((t1[o1[i]]))){ answer[j] = i; j += (t3[o3[i]]); } ----------------------------------------------------- Cost: 9.76 ===================================================== 0.6 0.75 0.8 1.0 0.9 ----------------------------------------------------- if((t1[o1[i]] & t2[o2[i]])){ answer[j] = i; j += (t3[o3[i]] & t4[o4[i]] & t5[o5[i]]); } ----------------------------------------------------- Cost: 28.75 ===================================================== 0.8 0.8 0.9 0.7 0.7 0.7 ----------------------------------------------------- if((t4[o4[i]] & t5[o5[i]] & t6[o6[i]])){ answer[j] = i; j += (t1[o1[i]] & t2[o2[i]] & t3[o3[i]]); } ----------------------------------------------------- Cost: 31.00 ===================================================== 0.05 0.1 0.05 0.1 ----------------------------------------------------- if((t3[o3[i]])) && (((t1[o1[i]])) && (((t4[o4[i]])))){ answer[j] = i; j += (t2[o2[i]]); } ----------------------------------------------------- Cost: 8.21325
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