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{ | |
"created_at" : "Thu Jun 19 04:17:56 +0000 2014", | |
"id" : 479478159050420200, | |
"id_str" : "479478159050420224", | |
"text" : "RT @FIFAWorldCup: A dramatic #WorldCup matchday 7 reviewed @onsoranje @SeFutbol @anfpchile @Socceroos @HNS_CFF - http://t.co/rJqOLG0cvE htt…", | |
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"name" : "3 Lions", | |
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"description" : "Straight Edge Till Death - América - Real Madrid - Manchester United - AC Milan - Lakers - Rangers - Colts - Borussia Dortmund - Blackhawks - México - England.", | |
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"text" : "A dramatic #WorldCup matchday 7 reviewed @onsoranje @SeFutbol @anfpchile @Socceroos @HNS_CFF - http://t.co/rJqOLG0cvE http://t.co/oiIvASKSnE", | |
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"description" : "Updates from Brazil provided by the Official Site of the 2014 FIFA World Cup.", | |
"protected" : false, | |
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"created_at" : "Thu Apr 29 10:58:07 +0000 2010", | |
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# | |
db.allTweets.aggregate([ | |
{$unwind: '$entities.hashtags'}, | |
{ $group: { | |
_id: '$entities.hashtags.text', | |
tagCount: {$sum: 1} | |
}}, | |
{ $sort: { | |
tagCount: -1 | |
}}, | |
{ $limit: 5 } | |
#The result: | |
{ "_id" : "WorldCup", "tagCount" : 399139 } | |
{ "_id" : "Brasil2014", "tagCount" : 172419 } | |
{ "_id" : "worldcup", "tagCount" : 98049 } | |
{ "_id" : "CRC", "tagCount" : 70970 } | |
{ "_id" : "FRA", "tagCount" : 67226 } | |
#top five languages used to tweet about World Cup games? Add another step to the pipeline: | |
db.allTweets.aggregate([ | |
{ $group: { | |
_id: '$lang', | |
count: {$sum: 1} | |
}}, | |
{$sort: { | |
count: -1 | |
}}, | |
{$limit: 5} | |
]); | |
#The result: | |
{ "_id" : "en", "count" : 516745 } | |
{ "_id" : "es", "count" : 262056 } | |
{ "_id" : "pt", "count" : 55117 } | |
{ "_id" : "ar", "count" : 36122 } | |
{ "_id" : "fr", "count" : 30003 } |
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#https://gist.github.com/javikalsan/bf892f213d6e4f2ae442 | |
# general # | |
use database; db.createCollection( 'collection' ); # create database with name database with empty collection named collection | |
use database; db.runCommand( { dropDatabase: 1 } ); or use database; db.dropDatabase(); # remove database | |
db.twits.remove(); # empty collection | |
db.twits.find().count(); # count all twits in the collection | |
mongodump -d database -c collection -o collection.dump # dump entire collection | |
mongorestore -d database -c collection myfoo.dump/database/collection.bson # restore dumped collection | |
mongoexport --db database --collection collection -q "{}{ "_id":0, "date":1, "lon":1, "lat":1 }" --csv -f "date,lon,lat" --out results_query.csv # export to CSV a query | |
# basic search and display # | |
db.twits.find( { "coordinates" : { $ne: null } } ).count(); # count all twits with coordinates | |
db.twits.find( { "coordinates" : null } ).count(); # count all twits with coordinates null | |
db.twits.find( {},{ "coordinates":1, "geo":1 } ); # show all twits but only display coordinates and geo fields | |
# geo search # | |
db.twits.find( { "coordinates" : { $ne: null } }, { "_id":0, "coordinates.coordinates": 1, "text": 1, "entities.hashtags.text" : 1 } ).pretty(); # search twits with coords and display them, the text and hashtags used |
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https://www.javaworld.com/article/2369159/big-data/do-twitter-analysis-the-easy-way-with-mongodb.html | |
https://ianlondon.github.io/blog/mongodb-auth/ | |
use twitter-analyst | |
db.createUser({ user: 'ian', pwd: 'secretPassword', roles: [{ role: 'readWrite', db:'twitter-analyst'}] }) | |
sudo vim /etc/mongod.conf #bindip, authorization |
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