I do not know how to implement the following query in CouchDB:
chr.letter
between two objects/dicts inchr
are not the same and no X, and- the document must be in range 200000 - 2000000, but I guess it has to be done with
startkey
andendkey
in the view.
The example output could look like this:
- {"_id":"7", "sub_name":"B01", "name":"A", "pos":828288, "s_type":1}
- {"_id":"8", "sub_name":"B01", "name":"A", "pos":171878, "s_type":3} will not meet range condition in the view
- {"_id":"9", "sub_name":"B01", "name":"A", "pos":871963, "s_type":3}
Document 10 is not valid, because chr.no = 6 has chr.letter = X. And document 14 is not valid, because chr.no = 5 and chr.no = 6 both have the same chr.letter = G
The database contains following documents:
{
"_id":"10",
"_rev":"3-5288068d2c4ef3e6a9d3f8ff4e3377dd",
"sub_name":"B01",
"name":"A",
"pos":1932523,
"s_type":1,
"chr":[
{
"letter":"T",
"no":4
},
{
"letter":"A",
"no":5
},
{
"letter":"X",
"no":6
}
],
"type":"Test"
}{
"_id":"14",
"_rev":"3-21300d06c31224416b8ff71b71b304d8",
"sub_name":"B01",
"name":"A",
"pos":667214,
"s_type":1,
"chr":[
{
"letter":"T",
"no":4
},
{
"letter":"G",
"no":5
},
{
"letter":"G",
"no":6
}
],
"type":"Test"
}{
"_id":"7",
"_rev":"2-1516ba547bdd21724158bc854f39f66b",
"sub_name":"B01",
"name":"A",
"pos":828288,
"s_type":1,
"chr":[
{
"letter":"C",
"no":5
},
{
"letter":"T",
"no":6
}
],
"type":"Test"
}{
"_id":"8",
"_rev":"2-750078ccc9e74616f33a2537e41b8414",
"sub_name":"B01",
"name":"A",
"pos":171878,
"s_type":3,
"chr":[
{
"letter":"C",
"no":5
},
{
"letter":"T",
"no":6
}
],
"type":"Test"
}{
"_id":"9",
"_rev":"2-3d68352a2d98c56fd322ae674fb7c38a",
"sub_name":"B01",
"name":"A",
"pos":871963,
"s_type":3,
"chr":[
{
"letter":"A",
"no":5
},
{
"letter":"G",
"no":6
}
],
"type":"Test"
}
The above database has been created with the below script:
import couchdb
# $ sudo systemctl start couchdb
# http://localhost:5984/_utils/
server = couchdb.Server()
db = server.create("test")
# except couchdb.http.ResourceConflict:
#db = server["test"]
r = [["Test", "A", "B01", 828288, 1, 7, 'C', 5],
["Test", "A", "B01", 828288, 1, 7, 'T', 6],
["Test", "A", "B01", 171878, 3, 8, 'C', 5],
["Test", "A", "B01", 171878, 3, 8, 'T', 6],
["Test", "A", "B01", 871963, 3, 9, 'A', 5],
["Test", "A", "B01", 871963, 3, 9, 'G', 6],
["Test", "A", "B01", 1932523, 1, 10, 'T', 4],
["Test", "A", "B01", 1932523, 1, 10, 'A', 5],
["Test", "A", "B01", 1932523, 1, 10, 'X', 6],
["Test", "A", "B01", 667214, 1, 14, 'T', 4],
["Test", "A", "B01", 667214, 1, 14, 'G', 5],
["Test", "A", "B01", 667214, 1, 14, 'G', 6]]
# _id = None
for i in r:
_id = str(i[5])
doc = db.get(_id)
if doc is None:
doc = {
'type': i[0],
'name': i[1],
'sub_name': i[2],
'pos': i[3],
's_type': i[4],
'_id': _id,
'chr':[]
}
doc['chr'].append({
"letter":i[6],
"no":i[7]
})
else:
doc['chr'].append({
"letter":i[6],
"no":i[7]
})
db.save(doc)
How is it possible to implement the above query or does the documents structure has to be change to make the query possible?