66 lines
1.8 KiB
Plaintext
66 lines
1.8 KiB
Plaintext
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Sequential: Yes
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Database : berlintest
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Restore : NO
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Operator : reservoir
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Number : 1
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Signature: (stream(T) x int) -> stream(T)
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Example : query intstream(1,10) reservoir[3] count
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Result : 3
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Operator : createbloomfilter
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Number : 2
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Signature: (stream(tuple(X)) x ATTR) x int x real -> bloomfilter, X in DATA
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Example : query Kinos feed createbloomfilter[Name,0.01] bloomcontains["Astor"]
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Result : TRUE
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Operator : bloomcontains
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Number : 3
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Signature: bloomfilter x T -> bool, T in DATA or T in TUPLE
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Example : query Kinos feed createbloomfilter[Name,0.01] bloomcontains["Berlino"]
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Result : FALSE
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Operator : createcountmin
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Number : 4
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Signature: (stream(tuple(X)) x ATTR) x int x real -> countminsketch, X in DATA
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Example : query Kinos feed createcountmin[Name,0.01,0.1] cmscount["Astor"]
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Result : 1
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Operator : cmscount
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Number : 5
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Signature: countminsketch x T -> bool, T in DATA or T in TUPLE
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Example : query Kinos feed createcountmin[Name,0.01,0.1] cmscount["Berlino"]
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Result : 0
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Operator : createams
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Number : 6
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Signature: stream(tuple(X)) x ATTR x int x real -> amssketch
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Example : query Kinos feed createams[Name,0.01,0.1] amsestimate
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Result : 22
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Operator : amsestimate
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Number : 7
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Signature: amssketch -> real
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Example : query Kinos feed createams[Name,0.01,0.1] amsestimate
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Result : 22
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Operator : createlossycounter
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Number : 8
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Signature: stream(tuple(X)) x ATTR x real -> lossycounter
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Example : query intstream(1,100) createlossycounter[Elem,0.01] lcfrequent[0.1] count
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Result : 0
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Operator : lcfrequent
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Number : 9
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Signature: lossycounter x real -> stream(tuple(x))
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Example : query intstream(1,100) createlossycounter[Elem,0.01] lcfrequent[0.1] count
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Result : 0
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Operator : outlier
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Number : 10
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Signature: (stream(T) x int) -> stream(T)
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Example : query intstream(1,100) outlier[Elem,3] count
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Result : 100
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