Package: base/frameworks/sumstats
The summary statistics framework provides a way to summarize large streams of data into simple reduced measurements.
base/frameworks/sumstats/__load__.zeek
base/frameworks/sumstats/main.zeek
The summary statistics framework provides a way to summarize large streams of data into simple reduced measurements.
base/frameworks/sumstats/plugins/__load__.zeek
base/frameworks/sumstats/plugins/average.zeek
Calculate the average.
base/frameworks/sumstats/plugins/hll_unique.zeek
Calculate the number of unique values (using the HyperLogLog algorithm).
base/frameworks/sumstats/plugins/last.zeek
Keep the last X observations.
base/frameworks/sumstats/plugins/max.zeek
Find the maximum value.
base/frameworks/sumstats/plugins/min.zeek
Find the minimum value.
base/frameworks/sumstats/plugins/sample.zeek
Keep a random sample of values.
base/frameworks/sumstats/plugins/std-dev.zeek
Calculate the standard deviation.
base/frameworks/sumstats/plugins/variance.zeek
Calculate the variance.
base/frameworks/sumstats/plugins/sum.zeek
Calculate the sum.
base/frameworks/sumstats/plugins/topk.zeek
Keep the top-k (i.e., most frequently occurring) observations.
This plugin uses a probabilistic algorithm to count the top-k elements. The algorithm (called Space-Saving) is described in the paper Efficient Computation of Frequent and Top-k Elements in Data Streams”, by Metwally et al. (2005).
base/frameworks/sumstats/plugins/unique.zeek
Calculate the number of unique values.