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CAP-2085: check in FTS query test cases
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Chung-Yen Chang
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Apr 22, 2015
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if ( typeof(tests) != "object" ) { | ||
tests = []; | ||
} | ||
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// Global variables for the text index tests | ||
// dictSize: number of characters in the "dictionary", number of words is | ||
// dictSize - wordLength. we also use this as the number of | ||
// documents in a collection but that can be changed | ||
// wordLength: length of the "words"; all words are the same length | ||
// currently but it can be changed | ||
// wordDistance: distance between "words" in a multi-word phrase | ||
// A document is inserted into the database with a "phrase" | ||
// that consists of numTerm "words" that are wordDistance | ||
// apart from each other in the dictionary. Each word is | ||
// wordLength long. By doing this, we can be sure that the | ||
// "phrase queries" can have an exact match. | ||
var language = "english"; | ||
const dictSize = 2400; // total doc count is 4800 to match other mongo-perf tests | ||
const wordLength = 5; | ||
const wordDistance = 100; | ||
const numTerm = 5; | ||
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// number of queries to use in query tests; idea is to spread the hits | ||
// across the tree | ||
const numQuery = 50; | ||
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// ============ | ||
// Some Helper functions that are used to create the dictionary and phrases | ||
// of fake words for the text index | ||
// ============ | ||
// The dictionary is just a long random string. By picking fixed-sized | ||
// substrings from it, we have our "words" | ||
var enPossible = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ1"; | ||
var possible = enPossible; | ||
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var dictionary = ""; | ||
for (var i = 0; i<dictSize; i++) | ||
dictionary += possible.charAt(Math.floor(Math.random()*possible.length)); | ||
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function generatePhrase(pos, term) { | ||
buf=""; | ||
for (var i=0; i<term; i++) { | ||
// Adding a stop word for every 3 fake words; can be modified to | ||
// increase or lower the frequency | ||
if ( i%3==1) { | ||
buf = buf.concat("the") | ||
} | ||
else { | ||
var p = (pos + i*wordDistance) % (dictSize - wordLength); | ||
buf = buf.concat(dictionary.substring(p, p+wordLength)); | ||
} | ||
if (i<term) { | ||
buf = buf.concat(" "); | ||
} | ||
} | ||
return buf; | ||
} | ||
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function generatePhraseLowerCase(pos, term) { | ||
var buf = generatePhrase(pos, term); | ||
return buf.toLowerCase(); | ||
} | ||
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// Populate the collection with phrases of fake words | ||
function populateCollection(col, term, entry) { | ||
col.drop(); | ||
col.createIndex( { x: "text"}, {default_language: language} ); | ||
for (var i = 0; i < entry; i++) { | ||
col.insert({ x: generatePhrase(i, term) }); | ||
col.insert({ x: generatePhraseLowerCase(i, term) }); | ||
} | ||
col.getDB().getLastError(); | ||
} | ||
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// ============ | ||
// Generate all queries with lower case words so we can exercise the | ||
// caseSensitive switch | ||
// ============ | ||
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// Helper function to create oplist for single-word search | ||
function oplistSingleWord(caseSensitive) { | ||
var oplist=[]; | ||
for (var i=0; i<numQuery; i++) { | ||
var c = Math.floor(Math.random()*(dictSize-wordLength)); | ||
oplist.push({ | ||
op: "find", | ||
query: { | ||
$text: {$search: generatePhraseLowerCase(c,1), | ||
$caseSensitive: caseSensitive } | ||
} | ||
}); | ||
} | ||
return oplist; | ||
} | ||
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// Single-word search, case-insensitive | ||
tests.push( { name: "Queries.Text.FindSingle", | ||
tags: ['query','text','daily','weekly','monthly'], | ||
pre: function(collection) { | ||
populateCollection(collection, numTerm, dictSize); | ||
}, | ||
ops: oplistSingleWord(false) | ||
}); | ||
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// Single-word search, case-sensitive | ||
tests.push( { name: "Queries.Text.FindSingleCaseSensitive", | ||
tags: ['query','text','daily','weekly','monthly'], | ||
pre: function(collection) { | ||
populateCollection(collection, numTerm, dictSize); | ||
}, | ||
ops: oplistSingleWord(true) | ||
}); | ||
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// Helper function to create oplist for three-word search (or) | ||
function oplistThreeWord(caseSensitive) { | ||
oplist=[]; | ||
for (var i=0; i<numQuery; i++) { | ||
var p = ""; | ||
for (var j=0; j<3; j++) { | ||
var c = Math.floor(Math.random()*(dictSize-wordLength)); | ||
p = p.concat(generatePhraseLowerCase(c,1), " "); | ||
} | ||
oplist.push({ | ||
op: "find", | ||
query: {$text: {$search: p, $caseSensitive: caseSensitive } | ||
} | ||
}); | ||
} | ||
return oplist; | ||
} | ||
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// Three-word search (or), case-insensitive | ||
tests.push( { name: "Queries.Text.FindThreeWords", | ||
tags: ['query','text','daily','weekly','monthly'], | ||
pre: function(collection) { | ||
populateCollection(collection, numTerm, dictSize); | ||
}, | ||
ops: oplistThreeWord(false) | ||
}); | ||
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// Three-word search (or), case sensitive | ||
tests.push( { name: "Queries.Text.FindThreeWordsCaseSensiive", | ||
tags: ['query','text','daily','weekly','monthly'], | ||
pre: function(collection) { | ||
populateCollection(collection, numTerm, dictSize); | ||
}, | ||
ops: oplistThreeWord(true) | ||
}); | ||
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// Helper function to create oplist for three-word phrase search | ||
// Be VERY careful with the escape character "\" | ||
function oplistPhrase(caseSensitive) { | ||
oplist=[]; | ||
for (var i=0; i<numQuery; i++) { | ||
var c = Math.floor(Math.random()*(dictSize-wordLength)); | ||
var p = "\""; | ||
p = p.concat(generatePhraseLowerCase(c, numTerm), "\""); | ||
oplist.push({ | ||
op: "find", | ||
query: { | ||
$text: {$search: p, $caseSensitive: caseSensitive } | ||
} | ||
}); | ||
} | ||
return oplist; | ||
} | ||
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// Phrase search, case-insensitive | ||
tests.push( { name: "Queries.Text.FindPhrase", | ||
tags: ['query','text','daily','weekly','monthly'], | ||
pre: function(collection) { | ||
populateCollection(collection, numTerm, dictSize); | ||
}, | ||
ops: oplistPhrase(false) | ||
}); | ||
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// Phrase search, case-sensitive | ||
tests.push( { name: "Queries.Text.FindPhraseCaseSensitive", | ||
tags: ['query','text','daily','weekly','monthly'], | ||
pre: function(collection) { | ||
populateCollection(collection, numTerm, dictSize); | ||
}, | ||
ops: oplistPhrase(true) | ||
}); | ||
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