In various sciences one is often invested in processing voluminous data which follows a given format, with many examples following (hopefully) the same format. A typical data file might have a line of environment variables, followed by raw data, which repeats in columns and/or rows eg., 4,23,45,56,78 12,23,45,56,67,78,89,87,…,72 32,34,23,21,23,56,43,23,…,34 34,54,32,45,89,76,54,98,…,58 67,67,88,32,34,21,22,97,…,51 A typical section of C code which would use this might look like: float config[8]; scanf(“%f,%f,%f,%f,%f”,&config[1],&config[2],&config[3], &config[4],&config[5]); printf(“%f,%f,%f,%f,%fn”,config[1],config[2],config[3], config[4],config[5]); int RECORDS = (int) config[1]; int i; if ( RECORDS < 100){ int SIZE = sizeof(float)*RECORDS; float *deltaCSMean = malloc(SIZE); float *deltaCSSigma     = malloc(SIZE); float *CQMean           = malloc(SIZE); float *CQSigma           = malloc(SIZE); float *etaMean           = malloc(SIZE); float *etaSigma         = malloc(SIZE); float *brdF2             = malloc(SIZE); float *brdF1             = malloc(SIZE); float *amplitude         = malloc(SIZE); for (i=0; i< RECORDS; i++){ scanf(“%f,%f,%f,%f,%f,%f,%f,%f,%f”,&deltaCSMean[i], &deltaCSSigma[i],&CQMean[i],&CQSigma[i], &etaMean[i],&etaSigma[i], &brdF2[i],&brdF1[i],&amplitude[i]); printf(“%f,%f,%f,%f,%f,%f,%f,%f,%fn”,deltaCSMean[i], deltaCSSigma[i],CQMean[i],CQSigma[i], etaMean[i],etaSigma[i],brdF2[i],brdF1[i],amplitude[i]); } } Using redirect a simple invocation of executable foo using input foo1.txt and output foo2.txt would of course be: ./foo < foo1.txt > foo2.txt which is fine until one needs different data from the file. Supposing in this example data repeats along columns, then one can use awk and a pipe to reshape the data input, removing the need to edit and recompile the C source for different data subsets: gawk ‘BEGIN{FS=”,”; print “4,12,23,44,56″; getline;} {for(i=lowBnd;i foo2.txt where lowBnd and upBnd correspond to the data column limits in the input file.

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UNIX redirect,pipes & reconfigurable data processing

In this article, I describe a new class of batch processing – Low- latency Continuous Batch Processing.  This kind of processing has become increasingly important in the world of Internet where we need to process large amount of data frequently to perform near real-time optimization, accounting, reporting, and analysis. I have tried to be high-level and non-technical in my definition. But I do realize that this article has turned out to be more technical then I originally intended.  Still, I believe even if you are non-technical, you will find it useful

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Low-latency Continuous Batch Processing

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