Filtering documents against a dictionary key in MongoDB
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Published on 2010-03-22T21:33:50Z
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2010/03/22
21:51 UTC
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I have a collection of articles in MongoDB that has the following structure:
{
'category': 'Legislature',
'updated': datetime.datetime(2010, 3, 19, 15, 32, 22, 107000),
'byline': None,
'tags': {
'party': ['Peter Hoekstra', 'Virg Bernero', 'Alma Smith', 'Mike Bouchard', 'Tom George', 'Rick Snyder'],
'geography': ['Michigan', 'United States', 'North America']
},
'headline': '2 Mich. gubernatorial candidates speak to students',
'text': [
'BEVERLY HILLS, Mich. (AP) \u2014 Two Democratic and Republican gubernatorial candidates found common ground while speaking to private school students in suburban Detroit',
"Democratic House Speaker state Rep. Andy Dillon and Republican U.S. Rep. Pete Hoekstra said Friday a more business-friendly government can help reduce Michigan's nation-leading unemployment rate.",
"The candidates were invited to Detroit Country Day Upper School in Beverly Hills to offer ideas for Michigan's future.",
'Besides Dillon, the Democratic field includes Lansing Mayor Virg Bernero and state Rep. Alma Wheeler Smith. Other Republicans running are Oakland County Sheriff Mike Bouchard, Attorney General Mike Cox, state Sen. Tom George and Ann Arbor business leader Rick Snyder.',
'Former Republican U.S. Rep. Joe Schwarz is considering running as an independent.'
],
'dateline': 'BEVERLY HILLS, Mich.',
'published': datetime.datetime(2010, 3, 19, 8, 0, 31),
'keywords': "Governor's Race",
'_id': ObjectId('4ba39721e0e16cb25fadbb40'),
'article_id': 'urn:publicid:ap.org:0611e36fb084458aa620c0187999db7e',
'slug': "BC-MI--Governor's Race,2nd Ld-Writethr"
}
If I wanted to write a query that looked for all articles that had at least 1 geography tag, how would I do that? I have tried writing db.articles.find( {'tags': 'geography'} ), but that doesn't appear to work. I've also thought about changing the search parameter to 'tags.geography', but am having a devil of a time figuring out what the search predicate would be.
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