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As [http://twitter.com Twitter] attracts more and more users (over 140 million active users in 2012) and This article is generating large amounts part of data (over 340 millions of short messages (the [[Advanced User'tweets') daily), it became a really exciting data source for all kind of analyticss Guide]]. Twitter provides It is about the developer community with a set usage of [https://dev.twitter.com/start APIs] BaseX for retrieving processing and storing the live data stream of Twitter. We illustrate some statistics about its users and their communication, including the [https://dev.twitter.com/docs/streaming-apis Streaming API] for Twitter data-intensive applications, the [https://dev.twitter.com/docs/using-search Search API] for querying and filtering the messaging content, and the [https://dev.twitter.com/docs/api REST API] for accessing the core primitives performance of the Twitter platformBaseX.

This article As Twitter attracts more and more users (over 140 million active users in 2012) and is about generating large amounts of data (over 340 millions of short messages ('tweets') daily), it became a really exciting data source for all kind of analytics. Twitter provides the use developer community with a set of BaseX [https://developer.twitter.com/start APIs] for processing retrieving the data about its users and storing their communication, including the live Streaming API for data stream of Twitter-intensive applications, the [https://dev.twitter. We illustrate some statistics about com/docs/using-search Search API] for querying and filtering the Twitter data messaging content, and the performance [https://dev.twitter.com/docs/api REST API] for accessing the core primitives of BaseXthe Twitter platform.

For retrieving the Twitter stream we connect with the Streaming API to the endpoint of Twitter and receive a never -ending tweet stream. As Twitter delivers the tweets as [httphttps://www.json.org/ JSON] objects , the objects has to bedata is converted into XML fragments. For this purpose , the parse function of the [[JSON Module|XQuery JSON Module]] is used. In the examples section both versions are shown ([[#Example Tweet (JSON)|tweet as JSON]] and [[#Example Tweet (XML)|tweet as XML]]). For storing the tweets including the meta-data, we use the standard ''insert'' function of [[Updates|XQuery Update]].

=Twitters' Twitter’s Streaming Data=

Each tweet object in the data stream contains the tweet message itself and over 60 data fields (for further information see the [https://dev.twitter.com/docs/platform-objects fields description]).The following figure section shows the amount of data, that is delivered by the Twitter Streaming API] to the connected endpoints with the 10% gardenhose access per hour

==Example Tweet (JSON): <pre>==

"description": "http:\/\/adfbasex.ly\/5ktAforg",

</presyntaxhighlight>

==Example Tweet (XML):==

<pre classsyntaxhighlight lang="brush:xml">&lt;<json booleans="retweeted possibly__sensitive truncated favorited possibly__sensitive__editable default__profile profile__background__tile protected contributors__enabled verified default__profile__image geo__enabled profile__use__background__image show__all__inline__media is__translator"

objects="json entities user"&gt;> &lt;<contributors/&gt;> &lt;<text&gt;>Using BaseX for storing the Twitter Stream&lt;</text&gt;> &lt;<geo/&gt;> &lt;<retweeted&gt;>false&lt;</retweeted&gt;> &lt;<in__reply__to__screen__name/&gt;> &lt;<possibly__sensitive&gt;>false&lt;</possibly__sensitive&gt;> &lt;<truncated&gt;>false&lt;</truncated&gt;> &lt;<entities&gt;> &lt;<urls/&gt;> &lt;<hashtags/&gt;> &lt;<user__mentions/&gt;> &lt;</entities&gt;> &lt;<in__reply__to__status__id__str/&gt;> &lt;<id&gt;>1984009055807*****&lt;</id&gt;> &lt;<in__reply__to__user__id__str/&gt;> &lt;<source&gt;&lt;><a href="http://twitterfeed.com" rel="nofollow"&gt;>twitterfeed&lt;</a&gt;&lt;></source&gt;> &lt;<favorited&gt;>false&lt;</favorited&gt;> &lt;<in__reply__to__status__id/&gt;> &lt;<retweet__count&gt;>0&lt;</retweet__count&gt;> &lt;<created__at&gt;>Fri May 04 13:17:16 +0000 2012&lt;</created__at&gt;> &lt;<in__reply__to__user__id/&gt;> &lt;<possibly__sensitive__editable&gt;>true&lt;</possibly__sensitive__editable&gt;> &lt;<id__str&gt;>1984009055807*****&lt;</id__str&gt;> &lt;<place/&gt;> &lt;<user&gt;> &lt;<location/&gt;> &lt;<default__profile&gt;>true&lt;</default__profile&gt;> &lt;<statuses__count&gt;>9096&lt;</statuses__count&gt;> &lt;<profile__background__tile&gt;>false&lt;</profile__background__tile&gt;> &lt;<lang&gt;>en&lt;</lang&gt;> &lt;<profile__link__color&gt;>0084B4&lt;</profile__link__color&gt;> &lt;<id&gt;>5024566**&lt;</id&gt;> &lt;<following/&gt;> &lt;<protected&gt;>false&lt;</protected&gt;> &lt;<favourites__count&gt;>0&lt;</favourites__count&gt;> &lt;<profile__text__color&gt;>333333&lt;</profile__text__color&gt;> &lt;<contributors__enabled&gt;>false&lt;</contributors__enabled&gt;> &lt;<verified&gt;>false&lt;</verified&gt;> &lt;<description&gt;>http://adfbasex.ly/5ktAf&lt;org</description&gt;> &lt;<profile__sidebar__border__color&gt;>C0DEED&lt;</profile__sidebar__border__color&gt;> &lt;<name&gt;>BaseX&lt;</name&gt;> &lt;<profile__background__color&gt;>C0DEED&lt;</profile__background__color&gt;> &lt;<created__at&gt;>Sat Feb 25 04:05:30 +0000 2012&lt;</created__at&gt;> &lt;<default__profile__image&gt;>true&lt;</default__profile__image&gt;> &lt;<followers__count&gt;>860&lt;</followers__count&gt;> &lt;<geo__enabled&gt;>false&lt;</geo__enabled&gt;> &lt;<profile__image__url__https&gt;>https://si0.twimg.com/sticky/default_profile_images/default_profile_0_normal.png&lt;</profile__image__url__https&gt;> &lt;<profile__background__image__url&gt;>http://a0.twimg.com/images/themes/theme1/bg.png&lt;</profile__background__image__url&gt;> &lt;<profile__background__image__url__https&gt;>https://si0.twimg.com/images/themes/theme1/bg.png&lt;</profile__background__image__url__https&gt;> &lt;<follow__request__sent/&gt;> &lt;<url&gt;>http://adf.ly/5ktAf&lt;</url&gt;> &lt;<utc__offset/&gt;> &lt;<time__zone/&gt;> &lt;<notifications/&gt;> &lt;<friends__count&gt;>2004&lt;</friends__count&gt;> &lt;<profile__use__background__image&gt;>true&lt;</profile__use__background__image&gt;> &lt;<profile__sidebar__fill__color&gt;>DDEEF6&lt;</profile__sidebar__fill__color&gt;> &lt;<screen__name&gt;>BaseX&lt;</screen__name&gt;> &lt;<id__str&gt;>5024566**&lt;</id__str&gt;> &lt;<show__all__inline__media&gt;>false&lt;</show__all__inline__media&gt;> &lt;<profile__image__url&gt;>http://a0.twimg.com/sticky/default_profile_images/default_profile_0_normal.png&lt;</profile__image__url&gt;> &lt;<is__translator&gt;>false&lt;</is__translator&gt;> &lt;<listed__count&gt;>0&lt;</listed__count&gt;> &lt;</user&gt;> &lt;<coordinates/&gt;>&lt;</json&gt;></presyntaxhighlight> = BaseX Performance = The test show the time BaseX needs to insert large amounts of real tweets into a database. We can derive that BaseX scales very well and can keep upwith the incoming amount of tweets in the stream. Some lower values can occur, cause the size of the tweets differ according to the meta-data contained in the tweet object.<br />Note: The {{Option|AUTOFLUSH}} option is set to <code>FALSE</code>. System Setup: Mac OS X 10.6.8, 3.2 GHz Intel Core i3, 8 GB 1333 MHz DDR3 RAM <br/>BaseX Version: BaseX 7.3 beta == Insert with XQuery Update == These tests show the performance of BaseX performing inserts with XQuery Update as single updates per tweet or bulk updates with different amount of tweets.The initial database just contained a root node <code><tweets/></code> and all incoming tweets are inserted after converting from JSON to XML into the root node.The time needed for the inserts includes the conversion time. === Single Updates === {| class="wikitable" width="50%"|-! Amount of tweets! Time in seconds! Time in minutes! Database Size (without indexes)|-| 1.000.000| 492.26346| 8.2| 3396 MB<br/>|-|-| 2.000.000| 461.87326| 7.6| 6997 MB<br/>|-|-| 3.000.000| 470.7054| 7.8| 10452 MB<br/>|-|}