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# EXAMPLE: query_agg | ||
# HIDE_START | ||
import json | ||
import redis | ||
from redis.commands.json.path import Path | ||
from redis.commands.search import Search | ||
from redis.commands.search.aggregation import AggregateRequest | ||
from redis.commands.search.field import NumericField, TagField | ||
from redis.commands.search.indexDefinition import IndexDefinition, IndexType | ||
import redis.commands.search.reducers as reducers | ||
|
||
r = redis.Redis(decode_responses=True) | ||
|
||
# create index | ||
schema = ( | ||
TagField("$.condition", as_name="condition"), | ||
NumericField("$.price", as_name="price"), | ||
) | ||
|
||
index = r.ft("idx:bicycle") | ||
index.create_index( | ||
schema, | ||
definition=IndexDefinition(prefix=["bicycle:"], index_type=IndexType.JSON), | ||
) | ||
|
||
# load data | ||
with open("data/query_em.json") as f: | ||
bicycles = json.load(f) | ||
|
||
pipeline = r.pipeline(transaction=False) | ||
for bid, bicycle in enumerate(bicycles): | ||
pipeline.json().set(f'bicycle:{bid}', Path.root_path(), bicycle) | ||
pipeline.execute() | ||
# HIDE_END | ||
|
||
# STEP_START agg1 | ||
search = Search(r, index_name="idx:bicycle") | ||
aggregate_request = AggregateRequest(query='@condition:{new}') \ | ||
.load('__key', 'price') \ | ||
.apply(discounted='@price - (@price * 0.1)') | ||
res = search.aggregate(aggregate_request) | ||
print(len(res.rows)) # >>> 5 | ||
print(res.rows) # >>> [['__key', 'bicycle:0', ... | ||
#[['__key', 'bicycle:0', 'price', '270', 'discounted', '243'], | ||
# ['__key', 'bicycle:5', 'price', '810', 'discounted', '729'], | ||
# ['__key', 'bicycle:6', 'price', '2300', 'discounted', '2070'], | ||
# ['__key', 'bicycle:7', 'price', '430', 'discounted', '387'], | ||
# ['__key', 'bicycle:8', 'price', '1200', 'discounted', '1080']] | ||
# REMOVE_START | ||
assert len(res.rows) == 5 | ||
# REMOVE_END | ||
# STEP_END | ||
|
||
# STEP_START agg2 | ||
search = Search(r, index_name="idx:bicycle") | ||
aggregate_request = AggregateRequest(query='*') \ | ||
.load('price') \ | ||
.apply(price_category='@price<1000') \ | ||
.group_by('@condition', reducers.sum('@price_category').alias('num_affordable')) | ||
res = search.aggregate(aggregate_request) | ||
print(len(res.rows)) # >>> 3 | ||
print(res.rows) # >>> | ||
#[['condition', 'refurbished', 'num_affordable', '1'], | ||
# ['condition', 'used', 'num_affordable', '1'], | ||
# ['condition', 'new', 'num_affordable', '3']] | ||
# REMOVE_START | ||
assert len(res.rows) == 3 | ||
# REMOVE_END | ||
# STEP_END | ||
|
||
# STEP_START agg3 | ||
search = Search(r, index_name="idx:bicycle") | ||
aggregate_request = AggregateRequest(query='*') \ | ||
.apply(type="'bicycle'") \ | ||
.group_by('@type', reducers.count().alias('num_total')) | ||
res = search.aggregate(aggregate_request) | ||
print(len(res.rows)) # >>> 1 | ||
print(res.rows) # >>> [['type', 'bicycle', 'num_total', '10']] | ||
# REMOVE_START | ||
assert len(res.rows) == 1 | ||
# REMOVE_END | ||
# STEP_END | ||
|
||
# STEP_START agg4 | ||
search = Search(r, index_name="idx:bicycle") | ||
aggregate_request = AggregateRequest(query='*') \ | ||
.load('__key') \ | ||
.group_by('@condition', reducers.tolist('__key').alias('bicycles')) | ||
res = search.aggregate(aggregate_request) | ||
print(len(res.rows)) # >>> 3 | ||
print(res.rows) # >>> | ||
#[['condition', 'refurbished', 'bicycles', ['bicycle:9']], | ||
# ['condition', 'used', 'bicycles', ['bicycle:1', 'bicycle:2', 'bicycle:3', 'bicycle:4']], | ||
# ['condition', 'new', 'bicycles', ['bicycle:5', 'bicycle:6', 'bicycle:7', 'bicycle:0', 'bicycle:8']]] | ||
# REMOVE_START | ||
assert len(res.rows) == 3 | ||
# REMOVE_END | ||
# STEP_END | ||
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# REMOVE_START | ||
# destroy index and data | ||
r.ft("idx:bicycle").dropindex(delete_documents=True) | ||
# REMOVE_END |