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mongo cheats
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// remove field from all samples | |
db.getCollection('samples').update({}, {'$unset': {'viterbi_haplotypes': 1}}, {multi: true}) | |
// initialize fields in all samples | |
db.getCollection('samples').update({}, {'$set': {'viterbi_haplotypes': {}}}, {multi: true}) | |
// how to slice without getting everything you don't care about | |
db.getCollection('samples').find( | |
{'_id': ObjectId("55e9cf1a6606af0e6e5cb5a1")}, | |
{ | |
'chromosome_data.6.allele1_fwds': {'$slice': 10}, | |
'chromosome_data.6.allele2_fwds': {'$slice': 10}, | |
// see http://stackoverflow.com/questions/23804254/ | |
// this is a hack that can be used to avoid pulling down all of the other data that | |
// we don't really care about (the default with slice is to pull down everything else) | |
'chromosome_data.6.no_read_count': 1 | |
}) | |
// find attributes that are not unique (based on http://blog.mlab.com/2014/03/finding-duplicate-keys-with-the-mongodb-aggregation-framework/) | |
db.getCollection('samples').aggregate([{ | |
$group: { | |
_id: {organism_id: '$organism_id'}, | |
count: {$sum: 1} | |
} | |
}, { | |
$match: { | |
count: {$gt: 1} | |
} | |
}]) |
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