Blame - docs/0.9.3/aql/js-sdk.html - incubator-asterixdb-site

<p><a class="externalLink" href="http://asterixdb.ics.uci.edu/download/bindings/asterix-sdk-stable.js">Download</a> the javascript SDK and include it like any other javascript library by adding the following line in the appropriate HTML file:</p>

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</pre></div></div></div>

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<h2><a name="Interactive_Demos"></a>Interactive Demos</h2>

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<p>There are two interactive demos that are available for download. Both of the demos illustrate how the javascript API would be used in an application:</p>

<ul>

<li><a class="externalLink" href="http://asterixdb.ics.uci.edu/download/demos/tweetbook-demo.zip">Tweetbook Demo</a>: a contrived geo-spatial application dealing with artificial Tweets allowing spatial, temporal, and keyword-based filtering.</li>

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<li><a class="externalLink" href="http://asterixdb.ics.uci.edu/download/demos/admaql101-demo.zip">ADM/AQL 101 Demo</a>: an interactive version of all of the examples that are provided in the following section.</li>

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</ul></div>

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<h2><a name="The_javascript_SDK:_by_example"></a>The javascript SDK: by example</h2>

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<p>In this section, we explore how to form AQL queries using the javascript SDK. The queries from <a href="primer.html">AsterixDB 101: An ADM and AQL Primer</a> are used as examples here. For each AQL statement, the equivalent javascript expression is shown below it, followed by the results of executing the query.</p>

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<h3><a name="Query_0-A_-_Exact-Match_Lookup"></a>Query 0-A - Exact-Match Lookup</h3>

<pre>use dataverse TinySocial;

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for $user in dataset FacebookUsers

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where $user.id = 8

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return $user;

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</pre></div></div></div>

<pre>var expression0a = new FLWOGRExpression()

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.ForClause("$user", new AExpression("dataset FacebookUsers"))

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.WhereClause(new AExpression("$user.id = 8"))

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.ReturnClause("$user");

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</pre></div></div></div>

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<h6><a name="Results"></a>Results</h6>

<pre>{ "id": { int32: 8 } , "alias": "Nila", "name": "NilaMilliron", "user-since": { datetime: 1199182200000}, "friend-ids": { unorderedlist: [{ int32: 3 } ]}, "employment": { orderedlist: [{ "organization-name": "Plexlane", "start-date": { date: 1267315200000}, "end-date": null } ]} }

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</pre></div></div></div></div></div></div>

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<h3><a name="Query_0-B_-_Range_Scan"></a>Query 0-B - Range Scan</h3>

<pre>use dataverse TinySocial;

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for $user in dataset FacebookUsers

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where $user.id >= 2 and $user.id <= 4

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return $user;

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</pre></div></div></div>

<pre>var expression0b = new FLWOGRExpression()

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.ForClause("$user", new AExpression("dataset FacebookUsers"))

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.WhereClause().and(new AExpression("$user.id >= 2"), new AExpression("$user.id <= 4"))

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.ReturnClause("$user");

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</pre></div></div></div>

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<h6><a name="Results"></a>Results</h6>

<pre>{ "id": { int32: 2 } , "alias": "Isbel", "name": "IsbelDull", "user-since": { datetime: 1295691000000}, "friend-ids": { unorderedlist: [{ int32: 1 } , { int32: 4 } ]}, "employment": { orderedlist: [{ "organization-name": "Hexviafind", "start-date": { date: 1272326400000}, "end-date": null } ]} }

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{ "id": { int32: 3 } , "alias": "Emory", "name": "EmoryUnk", "user-since": { datetime: 1341915000000}, "friend-ids": { unorderedlist: [{ int32: 1 } , { int32: 5 } , { int32: 8 } , { int32: 9 } ]}, "employment": { orderedlist: [{ "organization-name": "geomedia", "start-date": { date: 1276732800000}, "end-date": { date: 1264464000000} } ]} }

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{ "id": { int32: 4 } , "alias": "Nicholas", "name": "NicholasStroh", "user-since": { datetime: 1293444600000}, "friend-ids": { unorderedlist: [{ int32: 2 } ]}, "employment": { orderedlist: [{ "organization-name": "Zamcorporation", "start-date": { date: 1275955200000}, "end-date": null } ]} }

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</pre></div></div></div></div></div></div>

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<h3><a name="Query_1_-_Other_Query_Filters"></a>Query 1 - Other Query Filters</h3>

<pre>use dataverse TinySocial;

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for $user in dataset FacebookUsers

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where $user.user-since >= datetime('2010-07-22T00:00:00')

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and $user.user-since <= datetime('2012-07-29T23:59:59')

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return $user;

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</pre></div></div></div>

<pre>var expression1 = new FLWOGRExpression()

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.ForClause("$user", new AExpression("dataset FacebookUsers"))

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.WhereClause().and(

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new AExpression("$user.user-since >= datetime('2010-07-22T00:00:00')"),

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new AExpression("$user.user-since <= datetime('2012-07-29T23:59:59')")

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).ReturnClause("$user");

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</pre></div></div></div>

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<h6><a name="Results"></a>Results</h6>

<pre>{ "id": { int32: 2 } , "alias": "Isbel", "name": "IsbelDull", "user-since": { datetime: 1295691000000}, "friend-ids": { unorderedlist: [{ int32: 1 } , { int32: 4 } ]}, "employment": { orderedlist: [{ "organization-name": "Hexviafind", "start-date": { date: 1272326400000}, "end-date": null } ]} }

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{ "id": { int32: 10 } , "alias": "Bram", "name": "BramHatch", "user-since": { datetime: 1287223800000}, "friend-ids": { unorderedlist: [{ int32: 1 } , { int32: 5 } , { int32: 9 } ]}, "employment": { orderedlist: [{ "organization-name": "physcane", "start-date": { date: 1181001600000}, "end-date": { date: 1320451200000} } ]} }

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{ "id": { int32: 3 } , "alias": "Emory", "name": "EmoryUnk", "user-since": { datetime: 1341915000000}, "friend-ids": { unorderedlist: [{ int32: 1 } , { int32: 5 } , { int32: 8 } , { int32: 9 } ]}, "employment": { orderedlist: [{ "organization-name": "geomedia", "start-date": { date: 1276732800000}, "end-date": { date: 1264464000000} } ]} }

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{ "id": { int32: 4 } , "alias": "Nicholas", "name": "NicholasStroh", "user-since": { datetime: 1293444600000}, "friend-ids": { unorderedlist: [{ int32: 2 } ]}, "employment": { orderedlist: [{ "organization-name": "Zamcorporation", "start-date": { date: 1275955200000}, "end-date": null } ]} }

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</pre></div></div></div></div></div></div>

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<h3><a name="Query_2-A_-_Equijoin"></a>Query 2-A - Equijoin</h3>

<pre>use dataverse TinySocial;

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for $user in dataset FacebookUsers

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for $message in dataset FacebookMessages

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where $message.author-id = $user.id

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return {

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"uname": $user.name,

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"message": $message.message

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};

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</pre></div></div></div>

<pre>var expression2a = new FLWOGRExpression()

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.ForClause ("$user", new AExpression("dataset FacebookUsers"))

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.ForClause ("$message", new AExpression("dataset FacebookMessages"))

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.WhereClause(new AExpression("$message.author-id = $user.id"))

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.ReturnClause({

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"uname" : "$user.name",

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"message" : "$message.message"

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});

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</pre></div></div></div>

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<h6><a name="Results"></a>Results</h6>

<pre>{ "uname": "MargaritaStoddard", "message": " dislike x-phone its touch-screen is horrible" }

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{ "uname": "MargaritaStoddard", "message": " like ccast the 3G is awesome:)" }

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{ "uname": "MargaritaStoddard", "message": " can't stand product-w the touch-screen is terrible" }

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{ "uname": "MargaritaStoddard", "message": " can't stand acast the network is horrible:(" }

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{ "uname": "MargaritaStoddard", "message": " can't stand acast its plan is terrible" }

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{ "uname": "IsbelDull", "message": " like product-y the plan is amazing" }

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{ "uname": "IsbelDull", "message": " like product-z its platform is mind-blowing" }

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{ "uname": "WoodrowNehling", "message": " love acast its 3G is good:)" }

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{ "uname": "BramHatch", "message": " dislike x-phone the voice-command is bad:(" }

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{ "uname": "BramHatch", "message": " can't stand product-z its voicemail-service is OMG:(" }

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{ "uname": "EmoryUnk", "message": " love product-b its shortcut-menu is awesome:)" }

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{ "uname": "EmoryUnk", "message": " love ccast its wireless is good" }

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{ "uname": "WillisWynne", "message": " love product-b the customization is mind-blowing" }

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{ "uname": "SuzannaTillson", "message": " like x-phone the voicemail-service is awesome" }

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{ "uname": "VonKemble", "message": " dislike product-b the speed is horrible" }

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</pre></div></div></div></div></div></div>

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<h3><a name="Query_2-B_-_Index_join"></a>Query 2-B - Index join</h3>

<pre>use dataverse TinySocial;

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for $user in dataset FacebookUsers

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for $message in dataset FacebookMessages

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where $message.author-id /*+ indexnl */ = $user.id

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return {

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"uname": $user.name,

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"message": $message.message

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};

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</pre></div></div></div>

<pre>var expression2b = new FLWOGRExpression()

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.ForClause ("$user", new AExpression("dataset FacebookUsers"))

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.ForClause ("$message", new AExpression("dataset FacebookMessages"))

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.WhereClause(new AExpression("$message.author-id /*+ indexnl */ = $user.id"))

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.ReturnClause({

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"uname" : "$user.name",

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"message" : "$message.message"

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});

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</pre></div></div></div>

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<h6><a name="Results"></a>Results</h6>

<pre>{ "uname": "MargaritaStoddard", "message": " dislike x-phone its touch-screen is horrible" }

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{ "uname": "MargaritaStoddard", "message": " like ccast the 3G is awesome:)" }

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{ "uname": "MargaritaStoddard", "message": " can't stand product-w the touch-screen is terrible" }

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{ "uname": "MargaritaStoddard", "message": " can't stand acast the network is horrible:(" }

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{ "uname": "MargaritaStoddard", "message": " can't stand acast its plan is terrible" }

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{ "uname": "IsbelDull", "message": " like product-y the plan is amazing" }

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{ "uname": "IsbelDull", "message": " like product-z its platform is mind-blowing" }

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{ "uname": "WoodrowNehling", "message": " love acast its 3G is good:)" }

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{ "uname": "BramHatch", "message": " dislike x-phone the voice-command is bad:(" }

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{ "uname": "BramHatch", "message": " can't stand product-z its voicemail-service is OMG:(" }

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{ "uname": "EmoryUnk", "message": " love product-b its shortcut-menu is awesome:)" }

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{ "uname": "EmoryUnk", "message": " love ccast its wireless is good" }

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{ "uname": "WillisWynne", "message": " love product-b the customization is mind-blowing" }

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{ "uname": "SuzannaTillson", "message": " like x-phone the voicemail-service is awesome" }

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{ "uname": "VonKemble", "message": " dislike product-b the speed is horrible" }

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</pre></div></div></div></div></div></div>

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<h3><a name="Query_3_-_Nested_Outer_Join"></a>Query 3 - Nested Outer Join</h3>

<pre>use dataverse TinySocial;

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for $user in dataset FacebookUsers

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return {

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"uname": $user.name,

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"messages": for $message in dataset FacebookMessages

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where $message.author-id = $user.id

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return $message.message

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};

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</pre></div></div></div>

<pre>var expression3messages = new FLWOGRExpression()

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.ForClause("$message", new AExpression("dataset FacebookMessages"))

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.WhereClause(new AExpression("$message.author-id = $user.id"))

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.ReturnClause("$message.message");

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var expression3 = new FLWOGRExpression()

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.ForClause ("$user", new AExpression("dataset FacebookUsers"))

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.ReturnClause({

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"uname": "$user.name",

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"messages" : expression3messages

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});

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</pre></div></div></div>

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<h6><a name="Results"></a>Results</h6>

<pre>{ "uname": "MargaritaStoddard", "messages": { orderedlist: [" dislike x-phone its touch-screen is horrible", " like ccast the 3G is awesome:)", " can't stand product-w the touch-screen is terrible", " can't stand acast the network is horrible:(", " can't stand acast its plan is terrible" ]} }

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{ "uname": "IsbelDull", "messages": { orderedlist: [" like product-y the plan is amazing", " like product-z its platform is mind-blowing" ]} }

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{ "uname": "NilaMilliron", "messages": { orderedlist: [ ]} }

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{ "uname": "WoodrowNehling", "messages": { orderedlist: [" love acast its 3G is good:)" ]} }

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{ "uname": "BramHatch", "messages": { orderedlist: [" dislike x-phone the voice-command is bad:(", " can't stand product-z its voicemail-service is OMG:(" ]} }

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{ "uname": "EmoryUnk", "messages": { orderedlist: [" love product-b its shortcut-menu is awesome:)", " love ccast its wireless is good" ]} }

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{ "uname": "WillisWynne", "messages": { orderedlist: [" love product-b the customization is mind-blowing" ]} }

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{ "uname": "SuzannaTillson", "messages": { orderedlist: [" like x-phone the voicemail-service is awesome" ]} }

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{ "uname": "NicholasStroh", "messages": { orderedlist: [ ]} }

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{ "uname": "VonKemble", "messages": { orderedlist: [" dislike product-b the speed is horrible" ]} }

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</pre></div></div></div></div></div></div>

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<h3><a name="Query_4_-_Theta_Join"></a>Query 4 - Theta Join</h3>

<pre>use dataverse TinySocial;

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for $t in dataset TweetMessages

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return {

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"message": $t.message-text,

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"nearby-messages": for $t2 in dataset TweetMessages

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where spatial-distance($t.sender-location, $t2.sender-location) <= 1

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return { "msgtxt":$t2.message-text}

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};

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</pre></div></div></div>

<pre>var expression4messages = new FLWOGRExpression()

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.ForClause( "$t2", new AExpression("dataset TweetMessages"))

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.WhereClause( new AExpression("spatial-distance($t.sender-location, $t2.sender-location) <= 1"))

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.ReturnClause({ "msgtxt" : "$t2.message-text" });

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var expression4 = new FLWOGRExpression()

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.ForClause( "$t", new AExpression("dataset TweetMessages"))

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.ReturnClause({

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"message" : "$t.message-text",

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"nearby-messages" : expression4messages

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});

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</pre></div></div></div>

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<h6><a name="Results"></a>Results</h6>

<pre>{ "message": " hate ccast its voice-clarity is OMG:(", "nearby-messages": { orderedlist: [{ "msgtxt": " hate ccast its voice-clarity is OMG:(" }, { "msgtxt": " like product-w the speed is good:)" } ]} }

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{ "message": " like x-phone the voice-clarity is good:)", "nearby-messages": { orderedlist: [{ "msgtxt": " like x-phone the voice-clarity is good:)" } ]} }

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{ "message": " like product-y the platform is good", "nearby-messages": { orderedlist: [{ "msgtxt": " like product-y the platform is good" } ]} }

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{ "message": " love product-z its customization is good:)", "nearby-messages": { orderedlist: [{ "msgtxt": " love product-z its customization is good:)" } ]} }

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{ "message": " like product-y the voice-command is amazing:)", "nearby-messages": { orderedlist: [{ "msgtxt": " like product-y the voice-command is amazing:)" } ]} }

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{ "message": " like product-w the speed is good:)", "nearby-messages": { orderedlist: [{ "msgtxt": " hate ccast its voice-clarity is OMG:(" }, { "msgtxt": " like product-w the speed is good:)" } ]} }

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{ "message": " love ccast its voicemail-service is awesome", "nearby-messages": { orderedlist: [{ "msgtxt": " love ccast its voicemail-service is awesome" } ]} }

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{ "message": " can't stand product-w its speed is terrible:(", "nearby-messages": { orderedlist: [{ "msgtxt": " can't stand product-w its speed is terrible:(" } ]} }

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{ "message": " like product-z the shortcut-menu is awesome:)", "nearby-messages": { orderedlist: [{ "msgtxt": " like product-z the shortcut-menu is awesome:)" } ]} }

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{ "message": " can't stand x-phone its platform is terrible", "nearby-messages": { orderedlist: [{ "msgtxt": " can't stand x-phone its platform is terrible" } ]} }

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{ "message": " like ccast its shortcut-menu is awesome:)", "nearby-messages": { orderedlist: [{ "msgtxt": " like ccast its shortcut-menu is awesome:)" } ]} }

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{ "message": " like product-b the voice-command is mind-blowing:)", "nearby-messages": { orderedlist: [{ "msgtxt": " like product-b the voice-command is mind-blowing:)" } ]} }

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</pre></div></div></div></div></div></div>

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<h3><a name="Query_5_-_Fuzzy_Join"></a>Query 5 - Fuzzy Join</h3>

<p>use dataverse TinySocial;</p>

<pre>set simfunction "edit-distance";

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set simthreshold "3";

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for $fbu in dataset FacebookUsers

return {

"id": $fbu.id,

"name": $fbu.name,

"similar-users": for $t in dataset TweetMessages

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let $tu := $t.user

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where $tu.name ~= $fbu.name

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return {

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"twitter-screenname": $tu.screen-name,

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"twitter-name": $tu.name

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}

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};

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</pre></div></div></div>

<pre>var similarUsersExpression = new FLWOGRExpression()

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.ForClause("$t", new AExpression("dataset TweetMessages"))

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.LetClause ("$tu", new AExpression("$t.user"))

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.WhereClause(new AExpression("$tu.name ~= $fbu.name"))

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.ReturnClause({

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"twitter-screenname": "$tu.screen-name",

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"twitter-name": "$tu.name"

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});

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var expression5 = new FLWOGRExpression()

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.ForClause ("$fbu", new AExpression("dataset FacebookUsers"))

.ReturnClause(

{

"id" : "$fbu.id",

"name" : "$fbu.name",

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"similar-users" : similarUsersExpression

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}

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);

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</pre></div></div></div>

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<h6><a name="Results"></a>Results</h6>

<pre>{ "id": { int32: 1 } , "name": "MargaritaStoddard", "similar-users": { orderedlist: [ ]} }

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{ "id": { int32: 2 } , "name": "IsbelDull", "similar-users": { orderedlist: [ ]} }

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{ "id": { int32: 8 } , "name": "NilaMilliron", "similar-users": { orderedlist: [{ "twitter-screenname": "NilaMilliron_tw", "twitter-name": "Nila Milliron" } ]} }

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{ "id": { int32: 9 } , "name": "WoodrowNehling", "similar-users": { orderedlist: [ ]} }

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{ "id": { int32: 10 } , "name": "BramHatch", "similar-users": { orderedlist: [ ]} }

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{ "id": { int32: 3 } , "name": "EmoryUnk", "similar-users": { orderedlist: [ ]} }

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{ "id": { int32: 6 } , "name": "WillisWynne", "similar-users": { orderedlist: [ ]} }

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{ "id": { int32: 7 } , "name": "SuzannaTillson", "similar-users": { orderedlist: [ ]} }

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{ "id": { int32: 4 } , "name": "NicholasStroh", "similar-users": { orderedlist: [ ]} }

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{ "id": { int32: 5 } , "name": "VonKemble", "similar-users": { orderedlist: [ ]} }

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</pre></div></div></div></div></div></div>

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<h3><a name="Query_6_-_Existential_Quantification"></a>Query 6 - Existential Quantification</h3>

<pre>use dataverse TinySocial;

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for $fbu in dataset FacebookUsers

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where (some $e in $fbu.employment satisfies is-null($e.end-date))

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return $fbu;

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</pre></div></div></div>

<pre>var expression6 = new FLWOGRExpression()

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.ForClause ("$fbu", new AQLClause().set("dataset FacebookUsers"))

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.WhereClause(

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new QuantifiedExpression (

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"some" ,

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{"$e" : new AExpression("$fbu.employment") },

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new FunctionExpression("is-null", new AExpression("$e.end-date"))

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)

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)

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.ReturnClause("$fbu");

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</pre></div></div></div>

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<h6><a name="Results"></a>Results</h6>

<pre>{ "id": { int32: 1 } , "alias": "Margarita", "name": "MargaritaStoddard", "user-since": { datetime: 1345457400000}, "friend-ids": { unorderedlist: [{ int32: 2 } , { int32: 3 } , { int32: 6 } , { int32: 10 } ]}, "employment": { orderedlist: [{ "organization-name": "Codetechno", "start-date": { date: 1154822400000}, "end-date": null } ]} }

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{ "id": { int32: 2 } , "alias": "Isbel", "name": "IsbelDull", "user-since": { datetime: 1295691000000}, "friend-ids": { unorderedlist: [{ int32: 1 } , { int32: 4 } ]}, "employment": { orderedlist: [{ "organization-name": "Hexviafind", "start-date": { date: 1272326400000}, "end-date": null } ]} }

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{ "id": { int32: 8 } , "alias": "Nila", "name": "NilaMilliron", "user-since": { datetime: 1199182200000}, "friend-ids": { unorderedlist: [{ int32: 3 } ]}, "employment": { orderedlist: [{ "organization-name": "Plexlane", "start-date": { date: 1267315200000}, "end-date": null } ]} }

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{ "id": { int32: 6 } , "alias": "Willis", "name": "WillisWynne", "user-since": { datetime: 1105956600000}, "friend-ids": { unorderedlist: [{ int32: 1 } , { int32: 3 } , { int32: 7 } ]}, "employment": { orderedlist: [{ "organization-name": "jaydax", "start-date": { date: 1242345600000}, "end-date": null } ]} }

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{ "id": { int32: 7 } , "alias": "Suzanna", "name": "SuzannaTillson", "user-since": { datetime: 1344334200000}, "friend-ids": { unorderedlist: [{ int32: 6 } ]}, "employment": { orderedlist: [{ "organization-name": "Labzatron", "start-date": { date: 1303171200000}, "end-date": null } ]} }

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{ "id": { int32: 4 } , "alias": "Nicholas", "name": "NicholasStroh", "user-since": { datetime: 1293444600000}, "friend-ids": { unorderedlist: [{ int32: 2 } ]}, "employment": { orderedlist: [{ "organization-name": "Zamcorporation", "start-date": { date: 1275955200000}, "end-date": null } ]} }

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{ "id": { int32: 5 } , "alias": "Von", "name": "VonKemble", "user-since": { datetime: 1262686200000}, "friend-ids": { unorderedlist: [{ int32: 3 } , { int32: 6 } , { int32: 10 } ]}, "employment": { orderedlist: [{ "organization-name": "Kongreen", "start-date": { date: 1290816000000}, "end-date": null } ]} }

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</pre></div></div></div></div></div></div>

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<h3><a name="Query_7_-_Universal_Quantification"></a>Query 7 - Universal Quantification</h3>

<pre>use dataverse TinySocial;

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for $fbu in dataset FacebookUsers

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where (every $e in $fbu.employment satisfies not(is-null($e.end-date)))

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return $fbu;

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</pre></div></div></div>

<pre>var expression7 = new FLWOGRExpression()

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.ForClause("$fbu", new AExpression("dataset FacebookUsers"))

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.WhereClause(

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new QuantifiedExpression (

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"every" ,

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{"$e" : new AExpression("$fbu.employment") },

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new FunctionExpression("not", new FunctionExpression("is-null", new AExpression("$e.end-date")))

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)

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)

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.ReturnClause("$fbu");

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</pre></div></div></div>

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732

<h6><a name="Results"></a>Results</h6>

<pre>{ "id": { int32: 9 } , "alias": "Woodrow", "name": "WoodrowNehling", "user-since": { datetime: 1127211000000}, "friend-ids": { unorderedlist: [{ int32: 3 } , { int32: 10 } ]}, "employment": { orderedlist: [{ "organization-name": "Zuncan", "start-date": { date: 1050969600000}, "end-date": { date: 1260662400000} } ]} }

737

{ "id": { int32: 10 } , "alias": "Bram", "name": "BramHatch", "user-since": { datetime: 1287223800000}, "friend-ids": { unorderedlist: [{ int32: 1 } , { int32: 5 } , { int32: 9 } ]}, "employment": { orderedlist: [{ "organization-name": "physcane", "start-date": { date: 1181001600000}, "end-date": { date: 1320451200000} } ]} }

738

{ "id": { int32: 3 } , "alias": "Emory", "name": "EmoryUnk", "user-since": { datetime: 1341915000000}, "friend-ids": { unorderedlist: [{ int32: 1 } , { int32: 5 } , { int32: 8 } , { int32: 9 } ]}, "employment": { orderedlist: [{ "organization-name": "geomedia", "start-date": { date: 1276732800000}, "end-date": { date: 1264464000000} } ]} }

739

</pre></div></div></div></div></div></div>

740

741

<h3><a name="Query_8_-_Simple_Aggregation"></a>Query 8 - Simple Aggregation</h3>

<pre>use dataverse TinySocial;

750

751

count(for $fbu in dataset FacebookUsers return $fbu);

752

</pre></div></div></div>

<pre>var expression8 = new FunctionExpression(

759

"count",

760

new FLWOGRExpression()

761

.ForClause("$fbu", new AExpression("dataset FacebookUsers"))

762

.ReturnClause("$fbu")

763

);

764

</pre></div></div></div>

765

766

<h6><a name="Results"></a>Results</h6>

<pre>{ int64: 10 }

</pre></div></div></div></div></div></div>

772

773

<h3><a name="Query_9-A_-_Grouping_and_Aggregation"></a>Query 9-A - Grouping and Aggregation</h3>

<pre>use dataverse TinySocial;

782

783

for $t in dataset TweetMessages

784

group by $uid := $t.user.screen-name with $t

return {

"user": $uid,

"count": count($t)

};

</pre></div></div></div>

<pre>var expression9a = new FLWOGRExpression()

796

.ForClause("$t", new AExpression("dataset TweetMessages"))

797

.GroupClause("$uid", new AExpression("$t.user.screen-name"), "with", "$t")

.ReturnClause(

{

"user" : "$uid",

"count" : new FunctionExpression("count", new AExpression("$t"))

802

}

803

);

804

</pre></div></div></div>

805

806

<h6><a name="Results"></a>Results</h6>

<pre>{ "user": "ColineGeyer@63", "count": { int64: 3 } }

811

{ "user": "OliJackson_512", "count": { int64: 1 } }

812

{ "user": "NilaMilliron_tw", "count": { int64: 1 } }

813

{ "user": "ChangEwing_573", "count": { int64: 1 } }

814

{ "user": "NathanGiesen@211", "count": { int64: 6 } }

815

</pre></div></div></div></div></div></div>

816

817

<h3><a name="Query_9-B_-_Hash-Based_Grouping_and_Aggregation"></a>Query 9-B - (Hash-Based) Grouping and Aggregation</h3>

<pre>use dataverse TinySocial;

826

827

for $t in dataset TweetMessages

828

/*+ hash*/

829

group by $uid := $t.user.screen-name with $t

return {

"user": $uid,

"count": count($t)

};

</pre></div></div></div>

<pre>var expression9b = new FLWOGRExpression()

841

.ForClause("$t", new AExpression("dataset TweetMessages"))

842

.AQLClause("/*+ hash*/")

843

.GroupClause("$uid", new AExpression("$t.user.screen-name"), "with", "$t")

.ReturnClause(

{

"user" : "$uid",

"count" : new FunctionExpression("count", new AExpression("$t"))

848

}

849

);

850

</pre></div></div></div>

851

852

<h6><a name="Results"></a>Results</h6>

<pre>{ "user": "ColineGeyer@63", "count": { int64: 3 } }

857

{ "user": "OliJackson_512", "count": { int64: 1 } }

858

{ "user": "NilaMilliron_tw", "count": { int64: 1 } }

859

{ "user": "ChangEwing_573", "count": { int64: 1 } }

860

{ "user": "NathanGiesen@211", "count": { int64: 6 } }

861

</pre></div></div></div></div></div></div>

862

863

<h3><a name="Query_10_-_Grouping_and_Limits"></a>Query 10 - Grouping and Limits</h3>

<pre>use dataverse TinySocial;

872

873

for $t in dataset TweetMessages

874

group by $uid := $t.user.screen-name with $t

let $c := count($t)

order by $c desc

limit 3

return {

"user": $uid,

"count": $c

};

</pre></div></div></div>

<pre>var expression10 = new FLWOGRExpression()

889

.ForClause("$t", new AExpression("dataset TweetMessages"))

890

.GroupClause("$uid", new AExpression("$t.user.screen-name"), "with", "$t")

891

.LetClause("$c", new FunctionExpression("count", new AExpression("$t")))

892

.OrderbyClause( new AExpression("$c"), "desc" )

893

.LimitClause(new AExpression("3"))

.ReturnClause(

{

"user" : "$uid",

"count" : "$c"

}

);

</pre></div></div></div>

901

902

<h6><a name="Results"></a>Results</h6>

<pre>{ "user": "NathanGiesen@211", "count": { int64: 6 } }

907

{ "user": "ColineGeyer@63", "count": { int64: 3 } }

908

{ "user": "NilaMilliron_tw", "count": { int64: 1 } }

909

</pre></div></div></div></div></div></div>

910

911

<h3><a name="Query_11_-_Left_Outer_Fuzzy_Join"></a>Query 11 - Left Outer Fuzzy Join</h3>

<pre>use dataverse TinySocial;

920

921

set simfunction "jaccard";

922

set simthreshold "0.3";

923

924

for $t in dataset TweetMessages

925

return {

926

"tweet": $t,

927

"similar-tweets": for $t2 in dataset TweetMessages

928

where $t2.referred-topics ~= $t.referred-topics

929

and $t2.tweetid != $t.tweetid

930

return $t2.referred-topics

931

};

932

</pre></div></div></div>

<pre>var expression11 = new FLWOGRExpression()

939

.ForClause( "$t", new AExpression("dataset TweetMessages"))

940

.ReturnClause({

941

"tweet" : new AExpression("$t"),

942

"similar-tweets": new FLWOGRExpression()

943

.ForClause( "$t2", new AExpression("dataset TweetMessages"))

944

.WhereClause().and(

945

new AExpression("$t2.referred-topics ~= $t.referred-topics"),

946

new AExpression("$t2.tweetid != $t.tweetid")

947

)

948

.ReturnClause("$t2.referred-topics")

949

});

950

</pre></div></div></div>

951

952

<h6><a name="Results"></a>Results</h6>

<pre>{ "tweet": { "tweetid": "10", "user": { "screen-name": "ColineGeyer@63", "lang": "en", "friends_count": { int32: 121 } , "statuses_count": { int32: 362 } , "name": "Coline Geyer", "followers_count": { int32: 17159 } }, "sender-location": { point: [29.15, 76.53]}, "send-time": { datetime: 1201342200000}, "referred-topics": { unorderedlist: ["ccast", "voice-clarity" ]}, "message-text": " hate ccast its voice-clarity is OMG:(" }, "similar-tweets": { orderedlist: [{ unorderedlist: ["x-phone", "voice-clarity" ]}, { unorderedlist: ["ccast", "shortcut-menu" ]}, { unorderedlist: ["ccast", "voicemail-service" ]} ]} }

957

{ "tweet": { "tweetid": "6", "user": { "screen-name": "ColineGeyer@63", "lang": "en", "friends_count": { int32: 121 } , "statuses_count": { int32: 362 } , "name": "Coline Geyer", "followers_count": { int32: 17159 } }, "sender-location": { point: [47.51, 83.99]}, "send-time": { datetime: 1273227000000}, "referred-topics": { unorderedlist: ["x-phone", "voice-clarity" ]}, "message-text": " like x-phone the voice-clarity is good:)" }, "similar-tweets": { orderedlist: [{ unorderedlist: ["ccast", "voice-clarity" ]}, { unorderedlist: ["x-phone", "platform" ]} ]} }

958

{ "tweet": { "tweetid": "7", "user": { "screen-name": "ChangEwing_573", "lang": "en", "friends_count": { int32: 182 } , "statuses_count": { int32: 394 } , "name": "Chang Ewing", "followers_count": { int32: 32136 } }, "sender-location": { point: [36.21, 72.6]}, "send-time": { datetime: 1314267000000}, "referred-topics": { unorderedlist: ["product-y", "platform" ]}, "message-text": " like product-y the platform is good" }, "similar-tweets": { orderedlist: [{ unorderedlist: ["x-phone", "platform" ]}, { unorderedlist: ["product-y", "voice-command" ]} ]} }

959

{ "tweet": { "tweetid": "1", "user": { "screen-name": "NathanGiesen@211", "lang": "en", "friends_count": { int32: 39339 } , "statuses_count": { int32: 473 } , "name": "Nathan Giesen", "followers_count": { int32: 49416 } }, "sender-location": { point: [47.44, 80.65]}, "send-time": { datetime: 1209204600000}, "referred-topics": { unorderedlist: ["product-z", "customization" ]}, "message-text": " love product-z its customization is good:)" }, "similar-tweets": { orderedlist: [{ unorderedlist: ["product-z", "shortcut-menu" ]} ]} }

960

{ "tweet": { "tweetid": "12", "user": { "screen-name": "OliJackson_512", "lang": "en", "friends_count": { int32: 445 } , "statuses_count": { int32: 164 } , "name": "Oli Jackson", "followers_count": { int32: 22649 } }, "sender-location": { point: [24.82, 94.63]}, "send-time": { datetime: 1266055800000}, "referred-topics": { unorderedlist: ["product-y", "voice-command" ]}, "message-text": " like product-y the voice-command is amazing:)" }, "similar-tweets": { orderedlist: [{ unorderedlist: ["product-y", "platform" ]}, { unorderedlist: ["product-b", "voice-command" ]} ]} }

961

{ "tweet": { "tweetid": "3", "user": { "screen-name": "NathanGiesen@211", "lang": "en", "friends_count": { int32: 39339 } , "statuses_count": { int32: 473 } , "name": "Nathan Giesen", "followers_count": { int32: 49416 } }, "sender-location": { point: [29.72, 75.8]}, "send-time": { datetime: 1162635000000}, "referred-topics": { unorderedlist: ["product-w", "speed" ]}, "message-text": " like product-w the speed is good:)" }, "similar-tweets": { orderedlist: [{ unorderedlist: ["product-w", "speed" ]} ]} }

962

{ "tweet": { "tweetid": "9", "user": { "screen-name": "NathanGiesen@211", "lang": "en", "friends_count": { int32: 39339 } , "statuses_count": { int32: 473 } , "name": "Nathan Giesen", "followers_count": { int32: 49416 } }, "sender-location": { point: [36.86, 74.62]}, "send-time": { datetime: 1342865400000}, "referred-topics": { unorderedlist: ["ccast", "voicemail-service" ]}, "message-text": " love ccast its voicemail-service is awesome" }, "similar-tweets": { orderedlist: [{ unorderedlist: ["ccast", "voice-clarity" ]}, { unorderedlist: ["ccast", "shortcut-menu" ]} ]} }

963

{ "tweet": { "tweetid": "5", "user": { "screen-name": "NathanGiesen@211", "lang": "en", "friends_count": { int32: 39339 } , "statuses_count": { int32: 473 } , "name": "Nathan Giesen", "followers_count": { int32: 49416 } }, "sender-location": { point: [40.09, 92.69]}, "send-time": { datetime: 1154686200000}, "referred-topics": { unorderedlist: ["product-w", "speed" ]}, "message-text": " can't stand product-w its speed is terrible:(" }, "similar-tweets": { orderedlist: [{ unorderedlist: ["product-w", "speed" ]} ]} }

964

{ "tweet": { "tweetid": "8", "user": { "screen-name": "NathanGiesen@211", "lang": "en", "friends_count": { int32: 39339 } , "statuses_count": { int32: 473 } , "name": "Nathan Giesen", "followers_count": { int32: 49416 } }, "sender-location": { point: [46.05, 93.34]}, "send-time": { datetime: 1129284600000}, "referred-topics": { unorderedlist: ["product-z", "shortcut-menu" ]}, "message-text": " like product-z the shortcut-menu is awesome:)" }, "similar-tweets": { orderedlist: [{ unorderedlist: ["ccast", "shortcut-menu" ]}, { unorderedlist: ["product-z", "customization" ]} ]} }

965

{ "tweet": { "tweetid": "11", "user": { "screen-name": "NilaMilliron_tw", "lang": "en", "friends_count": { int32: 445 } , "statuses_count": { int32: 164 } , "name": "Nila Milliron", "followers_count": { int32: 22649 } }, "sender-location": { point: [37.59, 68.42]}, "send-time": { datetime: 1205057400000}, "referred-topics": { unorderedlist: ["x-phone", "platform" ]}, "message-text": " can't stand x-phone its platform is terrible" }, "similar-tweets": { orderedlist: [{ unorderedlist: ["x-phone", "voice-clarity" ]}, { unorderedlist: ["product-y", "platform" ]} ]} }

966

{ "tweet": { "tweetid": "2", "user": { "screen-name": "ColineGeyer@63", "lang": "en", "friends_count": { int32: 121 } , "statuses_count": { int32: 362 } , "name": "Coline Geyer", "followers_count": { int32: 17159 } }, "sender-location": { point: [32.84, 67.14]}, "send-time": { datetime: 1273745400000}, "referred-topics": { unorderedlist: ["ccast", "shortcut-menu" ]}, "message-text": " like ccast its shortcut-menu is awesome:)" }, "similar-tweets": { orderedlist: [{ unorderedlist: ["product-z", "shortcut-menu" ]}, { unorderedlist: ["ccast", "voice-clarity" ]}, { unorderedlist: ["ccast", "voicemail-service" ]} ]} }

967

{ "tweet": { "tweetid": "4", "user": { "screen-name": "NathanGiesen@211", "lang": "en", "friends_count": { int32: 39339 } , "statuses_count": { int32: 473 } , "name": "Nathan Giesen", "followers_count": { int32: 49416 } }, "sender-location": { point: [39.28, 70.48]}, "send-time": { datetime: 1324894200000}, "referred-topics": { unorderedlist: ["product-b", "voice-command" ]}, "message-text": " like product-b the voice-command is mind-blowing:)" }, "similar-tweets": { orderedlist: [{ unorderedlist: ["product-y", "voice-command" ]} ]} }

968

</pre></div></div></div></div></div></div></div>

</div>

</div>

</div>

<hr/>