聚合查询
分组和聚合查询结果
聚合查询允许您执行以下操作：
- 应用简单的映射函数。
- 根据字段值对数据进行分组。
- 对分组数据应用聚合函数。
本文解释了FT.AGGREGATE命令的基本用法。更多详细信息，请参阅命令规范和聚合参考文档。
本文中的示例使用具有以下字段的模式：
| 字段名称 | 字段类型 |
|---|---|
condition |
TAG |
price |
NUMERIC |
简单映射
APPLY 子句允许您对基于查询表达式返回的结果集应用一个简单的映射函数。
FT.AGGREGATE index "query_expr" LOAD n "field_1" .. "field_n" APPLY "function_expr" AS "result_field"
以下是查询语法的更详细解释：
- 查询表达式：你可以使用与
FT.SEARCH命令相同的查询表达式。你可以用查询主题文章中解释的任何表达式替换query_expr。向量搜索查询是一个例外。你不能将向量搜索与聚合查询结合使用。 - 已加载字段：如果字段值尚未加载到聚合管道中，您可以通过
LOAD子句强制其存在。该子句接受字段数量（n），后跟字段名称（"field_1" .. "field_n"）。 - 映射函数: 此映射函数对字段值进行操作。在函数表达式中，特定字段被引用为
@field_name。结果返回为result_field。
以下示例向您展示如何计算新自行车的折扣价格：
FT.AGGREGATE idx:bicycle "@condition:{new}" LOAD 2 "__key" "price" APPLY "@price - (@price * 0.1)" AS "discounted"Are you tired of using redis-cli? Try Redis Insight - the developer GUI for Redis.
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()
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']]
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']]
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']]
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']]]
import assert from 'node:assert';
import fs from 'node:fs';
import { createClient } from 'redis';
import { SchemaFieldTypes, AggregateSteps, AggregateGroupByReducers } from '@redis/search';
const client = createClient();
await client.connect().catch(console.error);
// create index
await client.ft.create('idx:bicycle', {
'$.condition': {
type: SchemaFieldTypes.TAG,
AS: 'condition'
},
'$.price': {
type: SchemaFieldTypes.NUMERIC,
AS: 'price'
}
}, {
ON: 'JSON',
PREFIX: 'bicycle:'
})
// load data
const bicycles = JSON.parse(fs.readFileSync('data/query_em.json', 'utf8'));
await Promise.all(
bicycles.map((bicycle, bid) => {
return client.json.set(`bicycle:${bid}`, '$', bicycle);
})
);
const res1 = await client.ft.aggregate('idx:bicycle', '@condition:{new}', {
LOAD: ['__key', 'price'],
APPLY: {
expression: '@price - (@price * 0.1)',
AS: 'discounted'
}
});
console.log(res1.results.length); // >>> 5
console.log(res1.results); // >>>
//[
// [Object: null prototype] { __key: 'bicycle:0', price: '270' },
// [Object: null prototype] { __key: 'bicycle:5', price: '810' },
// [Object: null prototype] { __key: 'bicycle:6', price: '2300' },
// [Object: null prototype] { __key: 'bicycle:7', price: '430' },
// [Object: null prototype] { __key: 'bicycle:8', price: '1200' }
//]
const res2 = await client.ft.aggregate('idx:bicycle', '*', {
LOAD: ['@price'],
STEPS: [{
type: AggregateSteps.APPLY,
expression: '@price<1000',
AS: 'price_category'
},{
type: AggregateSteps.GROUPBY,
properties: '@condition',
REDUCE:[{
type: AggregateGroupByReducers.SUM,
property: '@price_category',
AS: 'num_affordable'
}]
}]
});
console.log(res2.results.length); // >>> 3
console.log(res2.results); // >>>
//[[Object: null prototype] { condition: 'refurbished', num_affordable: '1' },
// [Object: null prototype] { condition: 'used', num_affordable: '1' },
// [Object: null prototype] { condition: 'new', num_affordable: '3' }
//]
const res3 = await client.ft.aggregate('idx:bicycle', '*', {
STEPS: [{
type: AggregateSteps.APPLY,
expression: "'bicycle'",
AS: 'type'
}, {
type: AggregateSteps.GROUPBY,
properties: '@type',
REDUCE: [{
type: AggregateGroupByReducers.COUNT,
property: null,
AS: 'num_total'
}]
}]
});
console.log(res3.results.length); // >>> 1
console.log(res3.results); // >>>
//[ [Object: null prototype] { type: 'bicycle', num_total: '10' } ]
const res4 = await client.ft.aggregate('idx:bicycle', '*', {
LOAD: ['__key'],
STEPS: [{
type: AggregateSteps.GROUPBY,
properties: '@condition',
REDUCE: [{
type: AggregateGroupByReducers.TOLIST,
property: '__key',
AS: 'bicycles'
}]
}]
});
console.log(res4.results.length); // >>> 3
console.log(res4.results); // >>>
//[[Object: null prototype] {condition: 'refurbished', bicycles: [ 'bicycle:9' ]},
// [Object: null prototype] {condition: 'used', bicycles: [ 'bicycle:1', 'bicycle:2', 'bicycle:3', 'bicycle:4' ]},
// [Object: null prototype] {condition: 'new', bicycles: [ 'bicycle:5', 'bicycle:6', 'bicycle:7', 'bicycle:0', 'bicycle:8' ]}]
import java.util.List;
import java.util.stream.Stream;
import java.util.ArrayList;
import redis.clients.jedis.UnifiedJedis;
import redis.clients.jedis.json.Path2;
import redis.clients.jedis.search.FTCreateParams;
import redis.clients.jedis.search.IndexDataType;
import redis.clients.jedis.search.schemafields.*;
import redis.clients.jedis.search.aggr.*;
import redis.clients.jedis.exceptions.JedisDataException;
public class QueryAggExample {
public void run() {
UnifiedJedis jedis = new UnifiedJedis("redis://localhost:6379");
SchemaField[] schema = {
TextField.of("$.brand").as("brand"),
TextField.of("$.model").as("model"),
TextField.of("$.description").as("description"),
NumericField.of("$.price").as("price"),
TagField.of("$.condition").as("condition")
};
jedis.ftCreate("idx:bicycle",
FTCreateParams.createParams()
.on(IndexDataType.JSON)
.addPrefix("bicycle:"),
schema
);
String[] bicycleJsons = new String[] {
" {"
+ " \"pickup_zone\": \"POLYGON((-74.0610 40.7578, -73.9510 40.7578, -73.9510 40.6678, "
+ "-74.0610 40.6678, -74.0610 40.7578))\","
+ " \"store_location\": \"-74.0060,40.7128\","
+ " \"brand\": \"Velorim\","
+ " \"model\": \"Jigger\","
+ " \"price\": 270,"
+ " \"description\": \"Small and powerful, the Jigger is the best ride for the smallest of tikes! "
+ "This is the tiniest kids’ pedal bike on the market available without a coaster brake, the Jigger "
+ "is the vehicle of choice for the rare tenacious little rider raring to go.\","
+ " \"condition\": \"new\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((-118.2887 34.0972, -118.1987 34.0972, -118.1987 33.9872, "
+ "-118.2887 33.9872, -118.2887 34.0972))\","
+ " \"store_location\": \"-118.2437,34.0522\","
+ " \"brand\": \"Bicyk\","
+ " \"model\": \"Hillcraft\","
+ " \"price\": 1200,"
+ " \"description\": \"Kids want to ride with as little weight as possible. Especially "
+ "on an incline! They may be at the age when a 27.5'' wheel bike is just too clumsy coming "
+ "off a 24'' bike. The Hillcraft 26 is just the solution they need!\","
+ " \"condition\": \"used\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((-87.6848 41.9331, -87.5748 41.9331, -87.5748 41.8231, "
+ "-87.6848 41.8231, -87.6848 41.9331))\","
+ " \"store_location\": \"-87.6298,41.8781\","
+ " \"brand\": \"Nord\","
+ " \"model\": \"Chook air 5\","
+ " \"price\": 815,"
+ " \"description\": \"The Chook Air 5 gives kids aged six years and older a durable "
+ "and uberlight mountain bike for their first experience on tracks and easy cruising through "
+ "forests and fields. The lower top tube makes it easy to mount and dismount in any "
+ "situation, giving your kids greater safety on the trails.\","
+ " \"condition\": \"used\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((-80.2433 25.8067, -80.1333 25.8067, -80.1333 25.6967, "
+ "-80.2433 25.6967, -80.2433 25.8067))\","
+ " \"store_location\": \"-80.1918,25.7617\","
+ " \"brand\": \"Eva\","
+ " \"model\": \"Eva 291\","
+ " \"price\": 3400,"
+ " \"description\": \"The sister company to Nord, Eva launched in 2005 as the first "
+ "and only women-dedicated bicycle brand. Designed by women for women, allEva bikes "
+ "are optimized for the feminine physique using analytics from a body metrics database. "
+ "If you like 29ers, try the Eva 291. It’s a brand new bike for 2022.. This "
+ "full-suspension, cross-country ride has been designed for velocity. The 291 has "
+ "100mm of front and rear travel, a superlight aluminum frame and fast-rolling "
+ "29-inch wheels. Yippee!\","
+ " \"condition\": \"used\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((-122.4644 37.8199, -122.3544 37.8199, -122.3544 37.7099, "
+ "-122.4644 37.7099, -122.4644 37.8199))\","
+ " \"store_location\": \"-122.4194,37.7749\","
+ " \"brand\": \"Noka Bikes\","
+ " \"model\": \"Kahuna\","
+ " \"price\": 3200,"
+ " \"description\": \"Whether you want to try your hand at XC racing or are looking "
+ "for a lively trail bike that's just as inspiring on the climbs as it is over rougher "
+ "ground, the Wilder is one heck of a bike built specifically for short women. Both the "
+ "frames and components have been tweaked to include a women’s saddle, different bars "
+ "and unique colourway.\","
+ " \"condition\": \"used\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((-0.1778 51.5524, 0.0822 51.5524, 0.0822 51.4024, "
+ "-0.1778 51.4024, -0.1778 51.5524))\","
+ " \"store_location\": \"-0.1278,51.5074\","
+ " \"brand\": \"Breakout\","
+ " \"model\": \"XBN 2.1 Alloy\","
+ " \"price\": 810,"
+ " \"description\": \"The XBN 2.1 Alloy is our entry-level road bike – but that’s "
+ "not to say that it’s a basic machine. With an internal weld aluminium frame, a full "
+ "carbon fork, and the slick-shifting Claris gears from Shimano’s, this is a bike which "
+ "doesn’t break the bank and delivers craved performance.\","
+ " \"condition\": \"new\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((2.1767 48.9016, 2.5267 48.9016, 2.5267 48.5516, "
+ "2.1767 48.5516, 2.1767 48.9016))\","
+ " \"store_location\": \"2.3522,48.8566\","
+ " \"brand\": \"ScramBikes\","
+ " \"model\": \"WattBike\","
+ " \"price\": 2300,"
+ " \"description\": \"The WattBike is the best e-bike for people who still "
+ "feel young at heart. It has a Bafang 1000W mid-drive system and a 48V 17.5AH "
+ "Samsung Lithium-Ion battery, allowing you to ride for more than 60 miles on one "
+ "charge. It’s great for tackling hilly terrain or if you just fancy a more "
+ "leisurely ride. With three working modes, you can choose between E-bike, "
+ "assisted bicycle, and normal bike modes.\","
+ " \"condition\": \"new\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((13.3260 52.5700, 13.6550 52.5700, 13.6550 52.2700, "
+ "13.3260 52.2700, 13.3260 52.5700))\","
+ " \"store_location\": \"13.4050,52.5200\","
+ " \"brand\": \"Peaknetic\","
+ " \"model\": \"Secto\","
+ " \"price\": 430,"
+ " \"description\": \"If you struggle with stiff fingers or a kinked neck or "
+ "back after a few minutes on the road, this lightweight, aluminum bike alleviates "
+ "those issues and allows you to enjoy the ride. From the ergonomic grips to the "
+ "lumbar-supporting seat position, the Roll Low-Entry offers incredible comfort. "
+ "The rear-inclined seat tube facilitates stability by allowing you to put a foot "
+ "on the ground to balance at a stop, and the low step-over frame makes it "
+ "accessible for all ability and mobility levels. The saddle is very soft, with "
+ "a wide back to support your hip joints and a cutout in the center to redistribute "
+ "that pressure. Rim brakes deliver satisfactory braking control, and the wide tires "
+ "provide a smooth, stable ride on paved roads and gravel. Rack and fender mounts "
+ "facilitate setting up the Roll Low-Entry as your preferred commuter, and the "
+ "BMX-like handlebar offers space for mounting a flashlight, bell, or phone holder.\","
+ " \"condition\": \"new\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((1.9450 41.4301, 2.4018 41.4301, 2.4018 41.1987, "
+ "1.9450 41.1987, 1.9450 41.4301))\","
+ " \"store_location\": \"2.1734, 41.3851\","
+ " \"brand\": \"nHill\","
+ " \"model\": \"Summit\","
+ " \"price\": 1200,"
+ " \"description\": \"This budget mountain bike from nHill performs well both "
+ "on bike paths and on the trail. The fork with 100mm of travel absorbs rough "
+ "terrain. Fat Kenda Booster tires give you grip in corners and on wet trails. "
+ "The Shimano Tourney drivetrain offered enough gears for finding a comfortable "
+ "pace to ride uphill, and the Tektro hydraulic disc brakes break smoothly. "
+ "Whether you want an affordable bike that you can take to work, but also take "
+ "trail in mountains on the weekends or you’re just after a stable, comfortable "
+ "ride for the bike path, the Summit gives a good value for money.\","
+ " \"condition\": \"new\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((12.4464 42.1028, 12.5464 42.1028, "
+ "12.5464 41.7028, 12.4464 41.7028, 12.4464 42.1028))\","
+ " \"store_location\": \"12.4964,41.9028\","
+ " \"model\": \"ThrillCycle\","
+ " \"brand\": \"BikeShind\","
+ " \"price\": 815,"
+ " \"description\": \"An artsy, retro-inspired bicycle that’s as "
+ "functional as it is pretty: The ThrillCycle steel frame offers a smooth ride. "
+ "A 9-speed drivetrain has enough gears for coasting in the city, but we wouldn’t "
+ "suggest taking it to the mountains. Fenders protect you from mud, and a rear "
+ "basket lets you transport groceries, flowers and books. The ThrillCycle comes "
+ "with a limited lifetime warranty, so this little guy will last you long "
+ "past graduation.\","
+ " \"condition\": \"refurbished\""
+ " }"
};
for (int i = 0; i < bicycleJsons.length; i++) {
jedis.jsonSet("bicycle:" + i, new Path2("$"), bicycleJsons[i]);
}
AggregationResult res1 = jedis.ftAggregate("idx:bicycle",
new AggregationBuilder("@condition:{new}")
.load("__key", "price")
.apply("@price - (@price * 0.1)", "discounted")
);
List<Row> rows1 = res1.getRows();
System.out.println(rows1.size()); // >>> 5
for (int i = 0; i < rows1.size(); i++) {
System.out.println(rows1.get(i));
}
// >>> {__key=bicycle:0, discounted=243, price=270}
// >>> {__key=bicycle:5, discounted=729, price=810}
// >>> {__key=bicycle:6, discounted=2070, price=2300}
// >>> {__key=bicycle:7, discounted=387, price=430}
// >>> {__key=bicycle:8, discounted=1080, price=1200}
// Tests for 'agg1' step.
AggregationResult res2 = jedis.ftAggregate("idx:bicycle",
new AggregationBuilder("*")
.load("price")
.apply("@price<1000", "price_category")
.groupBy("@condition",
Reducers.sum("@price_category").as("num_affordable"))
);
List<Row> rows2 = res2.getRows();
System.out.println(rows2.size()); // >>> 3
for (int i = 0; i < rows2.size(); i++) {
System.out.println(rows2.get(i));
}
// >>> {condition=refurbished, num_affordable=1}
// >>> {condition=used, num_affordable=1}
// >>> {condition=new, num_affordable=3}
// Tests for 'agg2' step.
AggregationResult res3 = jedis.ftAggregate("idx:bicycle",
new AggregationBuilder("*")
.apply("'bicycle'", "type")
.groupBy("@type", Reducers.count().as("num_total"))
);
List<Row> rows3 = res3.getRows();
System.out.println(rows3.size()); // >>> 1
for (int i = 0; i < rows3.size(); i++) {
System.out.println(rows3.get(i));
}
// >>> {type=bicycle, num_total=10}
// Tests for 'agg3' step.
AggregationResult res4 = jedis.ftAggregate("idx:bicycle",
new AggregationBuilder("*")
.load("__key")
.groupBy("@condition",
Reducers.to_list("__key").as("bicycles"))
);
List<Row> rows4 = res4.getRows();
System.out.println(rows4.size()); // >>> 3
for (int i = 0; i < rows4.size(); i++) {
System.out.println(rows4.get(i));
}
// >>> {condition=refurbished, bicycles=[bicycle:9]}
// >>> {condition=used, bicycles=[bicycle:3, bicycle:4, bicycle:1, bicycle:2]}
// >>> {condition=new, bicycles=[bicycle:7, bicycle:0, bicycle:5, bicycle:6, bicycle:8]}
// Tests for 'agg4' step.
jedis.close();
}
}
using NRedisStack.RedisStackCommands;
using NRedisStack.Search;
using NRedisStack.Search.Aggregation;
using NRedisStack.Search.Literals.Enums;
using NRedisStack.Tests;
using StackExchange.Redis;
public class QueryAggExample
{
public void run()
{
var muxer = ConnectionMultiplexer.Connect("localhost:6379");
var db = muxer.GetDatabase();
Schema bikeSchema = new Schema()
.AddTagField(new FieldName("$.condition", "condition"))
.AddNumericField(new FieldName("$.price", "price"));
FTCreateParams bikeParams = new FTCreateParams()
.AddPrefix("bicycle:")
.On(IndexDataType.JSON);
db.FT().Create("idx:bicycle", bikeParams, bikeSchema);
var bicycles = new object[] {
new
{
pickup_zone = "POLYGON((-74.0610 40.7578, -73.9510 40.7578, -73.9510 40.6678, -74.0610 40.6678, -74.0610 40.7578))",
store_location = "-74.0060,40.7128",
brand = "Velorim",
model = "Jigger",
price = 270,
description = "Small and powerful, the Jigger is the best ride for the smallest of tikes! This is the tiniest kids’ pedal bike on the market available without a coaster brake, the Jigger is the vehicle of choice for the rare tenacious little rider raring to go.",
condition = "new"
},
new
{
pickup_zone = "POLYGON((-118.2887 34.0972, -118.1987 34.0972, -118.1987 33.9872, -118.2887 33.9872, -118.2887 34.0972))",
store_location = "-118.2437,34.0522",
brand = "Bicyk",
model = "Hillcraft",
price = 1200,
description = "Kids want to ride with as little weight as possible. Especially on an incline! They may be at the age when a 27.5\" wheel bike is just too clumsy coming off a 24\" bike. The Hillcraft 26 is just the solution they need!",
condition = "used"
},
new
{
pickup_zone = "POLYGON((-87.6848 41.9331, -87.5748 41.9331, -87.5748 41.8231, -87.6848 41.8231, -87.6848 41.9331))",
store_location = "-87.6298,41.8781",
brand = "Nord",
model = "Chook air 5",
price = 815,
description = "The Chook Air 5 gives kids aged six years and older a durable and uberlight mountain bike for their first experience on tracks and easy cruising through forests and fields. The lower top tube makes it easy to mount and dismount in any situation, giving your kids greater safety on the trails.",
condition = "used"
},
new
{
pickup_zone = "POLYGON((-80.2433 25.8067, -80.1333 25.8067, -80.1333 25.6967, -80.2433 25.6967, -80.2433 25.8067))",
store_location = "-80.1918,25.7617",
brand = "Eva",
model = "Eva 291",
price = 3400,
description = "The sister company to Nord, Eva launched in 2005 as the first and only women-dedicated bicycle brand. Designed by women for women, allEva bikes are optimized for the feminine physique using analytics from a body metrics database. If you like 29ers, try the Eva 291. It’s a brand new bike for 2022.. This full-suspension, cross-country ride has been designed for velocity. The 291 has 100mm of front and rear travel, a superlight aluminum frame and fast-rolling 29-inch wheels. Yippee!",
condition = "used"
},
new
{
pickup_zone = "POLYGON((-122.4644 37.8199, -122.3544 37.8199, -122.3544 37.7099, -122.4644 37.7099, -122.4644 37.8199))",
store_location = "-122.4194,37.7749",
brand = "Noka Bikes",
model = "Kahuna",
price = 3200,
description = "Whether you want to try your hand at XC racing or are looking for a lively trail bike that's just as inspiring on the climbs as it is over rougher ground, the Wilder is one heck of a bike built specifically for short women. Both the frames and components have been tweaked to include a women’s saddle, different bars and unique colourway.",
condition = "used"
},
new
{
pickup_zone = "POLYGON((-0.1778 51.5524, 0.0822 51.5524, 0.0822 51.4024, -0.1778 51.4024, -0.1778 51.5524))",
store_location = "-0.1278,51.5074",
brand = "Breakout",
model = "XBN 2.1 Alloy",
price = 810,
description = "The XBN 2.1 Alloy is our entry-level road bike – but that’s not to say that it’s a basic machine. With an internal weld aluminium frame, a full carbon fork, and the slick-shifting Claris gears from Shimano’s, this is a bike which doesn’t break the bank and delivers craved performance.",
condition = "new"
},
new
{
pickup_zone = "POLYGON((2.1767 48.9016, 2.5267 48.9016, 2.5267 48.5516, 2.1767 48.5516, 2.1767 48.9016))",
store_location = "2.3522,48.8566",
brand = "ScramBikes",
model = "WattBike",
price = 2300,
description = "The WattBike is the best e-bike for people who still feel young at heart. It has a Bafang 1000W mid-drive system and a 48V 17.5AH Samsung Lithium-Ion battery, allowing you to ride for more than 60 miles on one charge. It’s great for tackling hilly terrain or if you just fancy a more leisurely ride. With three working modes, you can choose between E-bike, assisted bicycle, and normal bike modes.",
condition = "new"
},
new
{
pickup_zone = "POLYGON((13.3260 52.5700, 13.6550 52.5700, 13.6550 52.2700, 13.3260 52.2700, 13.3260 52.5700))",
store_location = "13.4050,52.5200",
brand = "Peaknetic",
model = "Secto",
price = 430,
description = "If you struggle with stiff fingers or a kinked neck or back after a few minutes on the road, this lightweight, aluminum bike alleviates those issues and allows you to enjoy the ride. From the ergonomic grips to the lumbar-supporting seat position, the Roll Low-Entry offers incredible comfort. The rear-inclined seat tube facilitates stability by allowing you to put a foot on the ground to balance at a stop, and the low step-over frame makes it accessible for all ability and mobility levels. The saddle is very soft, with a wide back to support your hip joints and a cutout in the center to redistribute that pressure. Rim brakes deliver satisfactory braking control, and the wide tires provide a smooth, stable ride on paved roads and gravel. Rack and fender mounts facilitate setting up the Roll Low-Entry as your preferred commuter, and the BMX-like handlebar offers space for mounting a flashlight, bell, or phone holder.",
condition = "new"
},
new
{
pickup_zone = "POLYGON((1.9450 41.4301, 2.4018 41.4301, 2.4018 41.1987, 1.9450 41.1987, 1.9450 41.4301))",
store_location = "2.1734, 41.3851",
brand = "nHill",
model = "Summit",
price = 1200,
description = "This budget mountain bike from nHill performs well both on bike paths and on the trail. The fork with 100mm of travel absorbs rough terrain. Fat Kenda Booster tires give you grip in corners and on wet trails. The Shimano Tourney drivetrain offered enough gears for finding a comfortable pace to ride uphill, and the Tektro hydraulic disc brakes break smoothly. Whether you want an affordable bike that you can take to work, but also take trail in mountains on the weekends or you’re just after a stable, comfortable ride for the bike path, the Summit gives a good value for money.",
condition = "new"
},
new
{
pickup_zone = "POLYGON((12.4464 42.1028, 12.5464 42.1028, 12.5464 41.7028, 12.4464 41.7028, 12.4464 42.1028))",
store_location = "12.4964,41.9028",
model = "ThrillCycle",
brand = "BikeShind",
price = 815,
description = "An artsy, retro-inspired bicycle that’s as functional as it is pretty: The ThrillCycle steel frame offers a smooth ride. A 9-speed drivetrain has enough gears for coasting in the city, but we wouldn’t suggest taking it to the mountains. Fenders protect you from mud, and a rear basket lets you transport groceries, flowers and books. The ThrillCycle comes with a limited lifetime warranty, so this little guy will last you long past graduation.",
condition = "refurbished"
}
};
for (var i = 0; i < bicycles.Length; i++)
{
db.JSON().Set($"bicycle:{i}", "$", bicycles[i]);
}
AggregationResult res1 = db.FT().Aggregate(
"idx:bicycle",
new AggregationRequest("@condition:{new}")
.Load(new FieldName("__key"), new FieldName("price"))
.Apply("@price - (@price * 0.1)", "discounted")
);
Console.WriteLine(res1.TotalResults); // >>> 5
for (int i = 0; i < res1.TotalResults; i++)
{
Row res1Row = res1.GetRow(i);
Console.WriteLine(
$"Key: {res1Row["__key"]}, Price: {res1Row["price"]}, Discounted: {res1Row["discounted"]}"
);
}
// >>> 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
// Tests for 'agg1' step.
AggregationResult res2 = db.FT().Aggregate(
"idx:bicycle",
new AggregationRequest("*")
.Load(new FieldName("price"))
.Apply("@price<1000", "price_category")
.GroupBy(
"@condition",
Reducers.Sum("@price_category").As("num_affordable")
)
);
Console.WriteLine(res2.TotalResults); // >>> 3
for (int i = 0; i < res2.TotalResults; i++)
{
Row res2Row = res2.GetRow(i);
Console.WriteLine(
$"Condition: {res2Row["condition"]}, Num affordable: {res2Row["num_affordable"]}"
);
}
// >>> Condition: refurbished, Num affordable: 1
// >>> Condition: used, Num affordable: 1
// >>> Condition: new, Num affordable: 3
// Tests for 'agg2' step.
AggregationResult res3 = db.FT().Aggregate(
"idx:bicycle",
new AggregationRequest("*")
.Apply("'bicycle'", "type")
.GroupBy("@type", Reducers.Count().As("num_total"))
);
Console.WriteLine(res3.TotalResults); // >>> 1
Row res3Row = res3.GetRow(0);
Console.WriteLine($"Type: {res3Row["type"]}, Num total: {res3Row["num_total"]}");
// >>> Type: bicycle, Num total: 10
// Tests for 'agg3' step.
// Not supported in NRedisStack.
// Tests for 'agg4' step.
}
}
字段 __key 是一个内置字段。
此查询的输出是：
1) "1"
2) 1) "__key"
1) "bicycle:0"
2) "price"
3) "270"
4) "discounted"
5) "243"
3) 1) "__key"
1) "bicycle:5"
2) "price"
3) "810"
4) "discounted"
5) "729"
4) 1) "__key"
1) "bicycle:6"
2) "price"
3) "2300"
4) "discounted"
5) "2070"
...
分组与聚合
前面的示例没有对数据进行分组。您可以根据一个或多个标准以以下方式对数据进行分组和聚合：
FT.AGGREGATE index "query_expr" ... GROUPBY n "field_1" .. "field_n" REDUCE AGG_FUNC m "@field_param_1" .. "@field_param_m" AS "aggregated_result_field"
以下是额外结构的解释：
- 分组：您可以按一个或多个字段进行分组。每个字段值的有序序列然后定义一个组。也可以按之前
APPLY ... AS的结果值进行分组。 - 聚合: 你必须将
AGG_FUNC替换为支持的聚合函数之一（例如，SUM或COUNT）。完整的函数列表可在聚合参考文档中找到。将aggregated_result_field替换为你选择的值。
以下查询向您展示了如何按字段condition进行分组，并根据先前派生的price_category应用归约。表达式@price<1000使得自行车的价格类别为1，如果其价格低于1000美元。否则，其价格类别为0。输出是按价格类别分组的可负担自行车数量。
FT.AGGREGATE idx:bicycle "*" LOAD 1 price APPLY "@price<1000" AS price_category GROUPBY 1 @condition REDUCE SUM 1 "@price_category" AS "num_affordable"Are you tired of using redis-cli? Try Redis Insight - the developer GUI for Redis.
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()
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']]
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']]
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']]
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']]]
import assert from 'node:assert';
import fs from 'node:fs';
import { createClient } from 'redis';
import { SchemaFieldTypes, AggregateSteps, AggregateGroupByReducers } from '@redis/search';
const client = createClient();
await client.connect().catch(console.error);
// create index
await client.ft.create('idx:bicycle', {
'$.condition': {
type: SchemaFieldTypes.TAG,
AS: 'condition'
},
'$.price': {
type: SchemaFieldTypes.NUMERIC,
AS: 'price'
}
}, {
ON: 'JSON',
PREFIX: 'bicycle:'
})
// load data
const bicycles = JSON.parse(fs.readFileSync('data/query_em.json', 'utf8'));
await Promise.all(
bicycles.map((bicycle, bid) => {
return client.json.set(`bicycle:${bid}`, '$', bicycle);
})
);
const res1 = await client.ft.aggregate('idx:bicycle', '@condition:{new}', {
LOAD: ['__key', 'price'],
APPLY: {
expression: '@price - (@price * 0.1)',
AS: 'discounted'
}
});
console.log(res1.results.length); // >>> 5
console.log(res1.results); // >>>
//[
// [Object: null prototype] { __key: 'bicycle:0', price: '270' },
// [Object: null prototype] { __key: 'bicycle:5', price: '810' },
// [Object: null prototype] { __key: 'bicycle:6', price: '2300' },
// [Object: null prototype] { __key: 'bicycle:7', price: '430' },
// [Object: null prototype] { __key: 'bicycle:8', price: '1200' }
//]
const res2 = await client.ft.aggregate('idx:bicycle', '*', {
LOAD: ['@price'],
STEPS: [{
type: AggregateSteps.APPLY,
expression: '@price<1000',
AS: 'price_category'
},{
type: AggregateSteps.GROUPBY,
properties: '@condition',
REDUCE:[{
type: AggregateGroupByReducers.SUM,
property: '@price_category',
AS: 'num_affordable'
}]
}]
});
console.log(res2.results.length); // >>> 3
console.log(res2.results); // >>>
//[[Object: null prototype] { condition: 'refurbished', num_affordable: '1' },
// [Object: null prototype] { condition: 'used', num_affordable: '1' },
// [Object: null prototype] { condition: 'new', num_affordable: '3' }
//]
const res3 = await client.ft.aggregate('idx:bicycle', '*', {
STEPS: [{
type: AggregateSteps.APPLY,
expression: "'bicycle'",
AS: 'type'
}, {
type: AggregateSteps.GROUPBY,
properties: '@type',
REDUCE: [{
type: AggregateGroupByReducers.COUNT,
property: null,
AS: 'num_total'
}]
}]
});
console.log(res3.results.length); // >>> 1
console.log(res3.results); // >>>
//[ [Object: null prototype] { type: 'bicycle', num_total: '10' } ]
const res4 = await client.ft.aggregate('idx:bicycle', '*', {
LOAD: ['__key'],
STEPS: [{
type: AggregateSteps.GROUPBY,
properties: '@condition',
REDUCE: [{
type: AggregateGroupByReducers.TOLIST,
property: '__key',
AS: 'bicycles'
}]
}]
});
console.log(res4.results.length); // >>> 3
console.log(res4.results); // >>>
//[[Object: null prototype] {condition: 'refurbished', bicycles: [ 'bicycle:9' ]},
// [Object: null prototype] {condition: 'used', bicycles: [ 'bicycle:1', 'bicycle:2', 'bicycle:3', 'bicycle:4' ]},
// [Object: null prototype] {condition: 'new', bicycles: [ 'bicycle:5', 'bicycle:6', 'bicycle:7', 'bicycle:0', 'bicycle:8' ]}]
import java.util.List;
import java.util.stream.Stream;
import java.util.ArrayList;
import redis.clients.jedis.UnifiedJedis;
import redis.clients.jedis.json.Path2;
import redis.clients.jedis.search.FTCreateParams;
import redis.clients.jedis.search.IndexDataType;
import redis.clients.jedis.search.schemafields.*;
import redis.clients.jedis.search.aggr.*;
import redis.clients.jedis.exceptions.JedisDataException;
public class QueryAggExample {
public void run() {
UnifiedJedis jedis = new UnifiedJedis("redis://localhost:6379");
SchemaField[] schema = {
TextField.of("$.brand").as("brand"),
TextField.of("$.model").as("model"),
TextField.of("$.description").as("description"),
NumericField.of("$.price").as("price"),
TagField.of("$.condition").as("condition")
};
jedis.ftCreate("idx:bicycle",
FTCreateParams.createParams()
.on(IndexDataType.JSON)
.addPrefix("bicycle:"),
schema
);
String[] bicycleJsons = new String[] {
" {"
+ " \"pickup_zone\": \"POLYGON((-74.0610 40.7578, -73.9510 40.7578, -73.9510 40.6678, "
+ "-74.0610 40.6678, -74.0610 40.7578))\","
+ " \"store_location\": \"-74.0060,40.7128\","
+ " \"brand\": \"Velorim\","
+ " \"model\": \"Jigger\","
+ " \"price\": 270,"
+ " \"description\": \"Small and powerful, the Jigger is the best ride for the smallest of tikes! "
+ "This is the tiniest kids’ pedal bike on the market available without a coaster brake, the Jigger "
+ "is the vehicle of choice for the rare tenacious little rider raring to go.\","
+ " \"condition\": \"new\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((-118.2887 34.0972, -118.1987 34.0972, -118.1987 33.9872, "
+ "-118.2887 33.9872, -118.2887 34.0972))\","
+ " \"store_location\": \"-118.2437,34.0522\","
+ " \"brand\": \"Bicyk\","
+ " \"model\": \"Hillcraft\","
+ " \"price\": 1200,"
+ " \"description\": \"Kids want to ride with as little weight as possible. Especially "
+ "on an incline! They may be at the age when a 27.5'' wheel bike is just too clumsy coming "
+ "off a 24'' bike. The Hillcraft 26 is just the solution they need!\","
+ " \"condition\": \"used\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((-87.6848 41.9331, -87.5748 41.9331, -87.5748 41.8231, "
+ "-87.6848 41.8231, -87.6848 41.9331))\","
+ " \"store_location\": \"-87.6298,41.8781\","
+ " \"brand\": \"Nord\","
+ " \"model\": \"Chook air 5\","
+ " \"price\": 815,"
+ " \"description\": \"The Chook Air 5 gives kids aged six years and older a durable "
+ "and uberlight mountain bike for their first experience on tracks and easy cruising through "
+ "forests and fields. The lower top tube makes it easy to mount and dismount in any "
+ "situation, giving your kids greater safety on the trails.\","
+ " \"condition\": \"used\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((-80.2433 25.8067, -80.1333 25.8067, -80.1333 25.6967, "
+ "-80.2433 25.6967, -80.2433 25.8067))\","
+ " \"store_location\": \"-80.1918,25.7617\","
+ " \"brand\": \"Eva\","
+ " \"model\": \"Eva 291\","
+ " \"price\": 3400,"
+ " \"description\": \"The sister company to Nord, Eva launched in 2005 as the first "
+ "and only women-dedicated bicycle brand. Designed by women for women, allEva bikes "
+ "are optimized for the feminine physique using analytics from a body metrics database. "
+ "If you like 29ers, try the Eva 291. It’s a brand new bike for 2022.. This "
+ "full-suspension, cross-country ride has been designed for velocity. The 291 has "
+ "100mm of front and rear travel, a superlight aluminum frame and fast-rolling "
+ "29-inch wheels. Yippee!\","
+ " \"condition\": \"used\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((-122.4644 37.8199, -122.3544 37.8199, -122.3544 37.7099, "
+ "-122.4644 37.7099, -122.4644 37.8199))\","
+ " \"store_location\": \"-122.4194,37.7749\","
+ " \"brand\": \"Noka Bikes\","
+ " \"model\": \"Kahuna\","
+ " \"price\": 3200,"
+ " \"description\": \"Whether you want to try your hand at XC racing or are looking "
+ "for a lively trail bike that's just as inspiring on the climbs as it is over rougher "
+ "ground, the Wilder is one heck of a bike built specifically for short women. Both the "
+ "frames and components have been tweaked to include a women’s saddle, different bars "
+ "and unique colourway.\","
+ " \"condition\": \"used\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((-0.1778 51.5524, 0.0822 51.5524, 0.0822 51.4024, "
+ "-0.1778 51.4024, -0.1778 51.5524))\","
+ " \"store_location\": \"-0.1278,51.5074\","
+ " \"brand\": \"Breakout\","
+ " \"model\": \"XBN 2.1 Alloy\","
+ " \"price\": 810,"
+ " \"description\": \"The XBN 2.1 Alloy is our entry-level road bike – but that’s "
+ "not to say that it’s a basic machine. With an internal weld aluminium frame, a full "
+ "carbon fork, and the slick-shifting Claris gears from Shimano’s, this is a bike which "
+ "doesn’t break the bank and delivers craved performance.\","
+ " \"condition\": \"new\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((2.1767 48.9016, 2.5267 48.9016, 2.5267 48.5516, "
+ "2.1767 48.5516, 2.1767 48.9016))\","
+ " \"store_location\": \"2.3522,48.8566\","
+ " \"brand\": \"ScramBikes\","
+ " \"model\": \"WattBike\","
+ " \"price\": 2300,"
+ " \"description\": \"The WattBike is the best e-bike for people who still "
+ "feel young at heart. It has a Bafang 1000W mid-drive system and a 48V 17.5AH "
+ "Samsung Lithium-Ion battery, allowing you to ride for more than 60 miles on one "
+ "charge. It’s great for tackling hilly terrain or if you just fancy a more "
+ "leisurely ride. With three working modes, you can choose between E-bike, "
+ "assisted bicycle, and normal bike modes.\","
+ " \"condition\": \"new\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((13.3260 52.5700, 13.6550 52.5700, 13.6550 52.2700, "
+ "13.3260 52.2700, 13.3260 52.5700))\","
+ " \"store_location\": \"13.4050,52.5200\","
+ " \"brand\": \"Peaknetic\","
+ " \"model\": \"Secto\","
+ " \"price\": 430,"
+ " \"description\": \"If you struggle with stiff fingers or a kinked neck or "
+ "back after a few minutes on the road, this lightweight, aluminum bike alleviates "
+ "those issues and allows you to enjoy the ride. From the ergonomic grips to the "
+ "lumbar-supporting seat position, the Roll Low-Entry offers incredible comfort. "
+ "The rear-inclined seat tube facilitates stability by allowing you to put a foot "
+ "on the ground to balance at a stop, and the low step-over frame makes it "
+ "accessible for all ability and mobility levels. The saddle is very soft, with "
+ "a wide back to support your hip joints and a cutout in the center to redistribute "
+ "that pressure. Rim brakes deliver satisfactory braking control, and the wide tires "
+ "provide a smooth, stable ride on paved roads and gravel. Rack and fender mounts "
+ "facilitate setting up the Roll Low-Entry as your preferred commuter, and the "
+ "BMX-like handlebar offers space for mounting a flashlight, bell, or phone holder.\","
+ " \"condition\": \"new\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((1.9450 41.4301, 2.4018 41.4301, 2.4018 41.1987, "
+ "1.9450 41.1987, 1.9450 41.4301))\","
+ " \"store_location\": \"2.1734, 41.3851\","
+ " \"brand\": \"nHill\","
+ " \"model\": \"Summit\","
+ " \"price\": 1200,"
+ " \"description\": \"This budget mountain bike from nHill performs well both "
+ "on bike paths and on the trail. The fork with 100mm of travel absorbs rough "
+ "terrain. Fat Kenda Booster tires give you grip in corners and on wet trails. "
+ "The Shimano Tourney drivetrain offered enough gears for finding a comfortable "
+ "pace to ride uphill, and the Tektro hydraulic disc brakes break smoothly. "
+ "Whether you want an affordable bike that you can take to work, but also take "
+ "trail in mountains on the weekends or you’re just after a stable, comfortable "
+ "ride for the bike path, the Summit gives a good value for money.\","
+ " \"condition\": \"new\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((12.4464 42.1028, 12.5464 42.1028, "
+ "12.5464 41.7028, 12.4464 41.7028, 12.4464 42.1028))\","
+ " \"store_location\": \"12.4964,41.9028\","
+ " \"model\": \"ThrillCycle\","
+ " \"brand\": \"BikeShind\","
+ " \"price\": 815,"
+ " \"description\": \"An artsy, retro-inspired bicycle that’s as "
+ "functional as it is pretty: The ThrillCycle steel frame offers a smooth ride. "
+ "A 9-speed drivetrain has enough gears for coasting in the city, but we wouldn’t "
+ "suggest taking it to the mountains. Fenders protect you from mud, and a rear "
+ "basket lets you transport groceries, flowers and books. The ThrillCycle comes "
+ "with a limited lifetime warranty, so this little guy will last you long "
+ "past graduation.\","
+ " \"condition\": \"refurbished\""
+ " }"
};
for (int i = 0; i < bicycleJsons.length; i++) {
jedis.jsonSet("bicycle:" + i, new Path2("$"), bicycleJsons[i]);
}
AggregationResult res1 = jedis.ftAggregate("idx:bicycle",
new AggregationBuilder("@condition:{new}")
.load("__key", "price")
.apply("@price - (@price * 0.1)", "discounted")
);
List<Row> rows1 = res1.getRows();
System.out.println(rows1.size()); // >>> 5
for (int i = 0; i < rows1.size(); i++) {
System.out.println(rows1.get(i));
}
// >>> {__key=bicycle:0, discounted=243, price=270}
// >>> {__key=bicycle:5, discounted=729, price=810}
// >>> {__key=bicycle:6, discounted=2070, price=2300}
// >>> {__key=bicycle:7, discounted=387, price=430}
// >>> {__key=bicycle:8, discounted=1080, price=1200}
// Tests for 'agg1' step.
AggregationResult res2 = jedis.ftAggregate("idx:bicycle",
new AggregationBuilder("*")
.load("price")
.apply("@price<1000", "price_category")
.groupBy("@condition",
Reducers.sum("@price_category").as("num_affordable"))
);
List<Row> rows2 = res2.getRows();
System.out.println(rows2.size()); // >>> 3
for (int i = 0; i < rows2.size(); i++) {
System.out.println(rows2.get(i));
}
// >>> {condition=refurbished, num_affordable=1}
// >>> {condition=used, num_affordable=1}
// >>> {condition=new, num_affordable=3}
// Tests for 'agg2' step.
AggregationResult res3 = jedis.ftAggregate("idx:bicycle",
new AggregationBuilder("*")
.apply("'bicycle'", "type")
.groupBy("@type", Reducers.count().as("num_total"))
);
List<Row> rows3 = res3.getRows();
System.out.println(rows3.size()); // >>> 1
for (int i = 0; i < rows3.size(); i++) {
System.out.println(rows3.get(i));
}
// >>> {type=bicycle, num_total=10}
// Tests for 'agg3' step.
AggregationResult res4 = jedis.ftAggregate("idx:bicycle",
new AggregationBuilder("*")
.load("__key")
.groupBy("@condition",
Reducers.to_list("__key").as("bicycles"))
);
List<Row> rows4 = res4.getRows();
System.out.println(rows4.size()); // >>> 3
for (int i = 0; i < rows4.size(); i++) {
System.out.println(rows4.get(i));
}
// >>> {condition=refurbished, bicycles=[bicycle:9]}
// >>> {condition=used, bicycles=[bicycle:3, bicycle:4, bicycle:1, bicycle:2]}
// >>> {condition=new, bicycles=[bicycle:7, bicycle:0, bicycle:5, bicycle:6, bicycle:8]}
// Tests for 'agg4' step.
jedis.close();
}
}
using NRedisStack.RedisStackCommands;
using NRedisStack.Search;
using NRedisStack.Search.Aggregation;
using NRedisStack.Search.Literals.Enums;
using NRedisStack.Tests;
using StackExchange.Redis;
public class QueryAggExample
{
public void run()
{
var muxer = ConnectionMultiplexer.Connect("localhost:6379");
var db = muxer.GetDatabase();
Schema bikeSchema = new Schema()
.AddTagField(new FieldName("$.condition", "condition"))
.AddNumericField(new FieldName("$.price", "price"));
FTCreateParams bikeParams = new FTCreateParams()
.AddPrefix("bicycle:")
.On(IndexDataType.JSON);
db.FT().Create("idx:bicycle", bikeParams, bikeSchema);
var bicycles = new object[] {
new
{
pickup_zone = "POLYGON((-74.0610 40.7578, -73.9510 40.7578, -73.9510 40.6678, -74.0610 40.6678, -74.0610 40.7578))",
store_location = "-74.0060,40.7128",
brand = "Velorim",
model = "Jigger",
price = 270,
description = "Small and powerful, the Jigger is the best ride for the smallest of tikes! This is the tiniest kids’ pedal bike on the market available without a coaster brake, the Jigger is the vehicle of choice for the rare tenacious little rider raring to go.",
condition = "new"
},
new
{
pickup_zone = "POLYGON((-118.2887 34.0972, -118.1987 34.0972, -118.1987 33.9872, -118.2887 33.9872, -118.2887 34.0972))",
store_location = "-118.2437,34.0522",
brand = "Bicyk",
model = "Hillcraft",
price = 1200,
description = "Kids want to ride with as little weight as possible. Especially on an incline! They may be at the age when a 27.5\" wheel bike is just too clumsy coming off a 24\" bike. The Hillcraft 26 is just the solution they need!",
condition = "used"
},
new
{
pickup_zone = "POLYGON((-87.6848 41.9331, -87.5748 41.9331, -87.5748 41.8231, -87.6848 41.8231, -87.6848 41.9331))",
store_location = "-87.6298,41.8781",
brand = "Nord",
model = "Chook air 5",
price = 815,
description = "The Chook Air 5 gives kids aged six years and older a durable and uberlight mountain bike for their first experience on tracks and easy cruising through forests and fields. The lower top tube makes it easy to mount and dismount in any situation, giving your kids greater safety on the trails.",
condition = "used"
},
new
{
pickup_zone = "POLYGON((-80.2433 25.8067, -80.1333 25.8067, -80.1333 25.6967, -80.2433 25.6967, -80.2433 25.8067))",
store_location = "-80.1918,25.7617",
brand = "Eva",
model = "Eva 291",
price = 3400,
description = "The sister company to Nord, Eva launched in 2005 as the first and only women-dedicated bicycle brand. Designed by women for women, allEva bikes are optimized for the feminine physique using analytics from a body metrics database. If you like 29ers, try the Eva 291. It’s a brand new bike for 2022.. This full-suspension, cross-country ride has been designed for velocity. The 291 has 100mm of front and rear travel, a superlight aluminum frame and fast-rolling 29-inch wheels. Yippee!",
condition = "used"
},
new
{
pickup_zone = "POLYGON((-122.4644 37.8199, -122.3544 37.8199, -122.3544 37.7099, -122.4644 37.7099, -122.4644 37.8199))",
store_location = "-122.4194,37.7749",
brand = "Noka Bikes",
model = "Kahuna",
price = 3200,
description = "Whether you want to try your hand at XC racing or are looking for a lively trail bike that's just as inspiring on the climbs as it is over rougher ground, the Wilder is one heck of a bike built specifically for short women. Both the frames and components have been tweaked to include a women’s saddle, different bars and unique colourway.",
condition = "used"
},
new
{
pickup_zone = "POLYGON((-0.1778 51.5524, 0.0822 51.5524, 0.0822 51.4024, -0.1778 51.4024, -0.1778 51.5524))",
store_location = "-0.1278,51.5074",
brand = "Breakout",
model = "XBN 2.1 Alloy",
price = 810,
description = "The XBN 2.1 Alloy is our entry-level road bike – but that’s not to say that it’s a basic machine. With an internal weld aluminium frame, a full carbon fork, and the slick-shifting Claris gears from Shimano’s, this is a bike which doesn’t break the bank and delivers craved performance.",
condition = "new"
},
new
{
pickup_zone = "POLYGON((2.1767 48.9016, 2.5267 48.9016, 2.5267 48.5516, 2.1767 48.5516, 2.1767 48.9016))",
store_location = "2.3522,48.8566",
brand = "ScramBikes",
model = "WattBike",
price = 2300,
description = "The WattBike is the best e-bike for people who still feel young at heart. It has a Bafang 1000W mid-drive system and a 48V 17.5AH Samsung Lithium-Ion battery, allowing you to ride for more than 60 miles on one charge. It’s great for tackling hilly terrain or if you just fancy a more leisurely ride. With three working modes, you can choose between E-bike, assisted bicycle, and normal bike modes.",
condition = "new"
},
new
{
pickup_zone = "POLYGON((13.3260 52.5700, 13.6550 52.5700, 13.6550 52.2700, 13.3260 52.2700, 13.3260 52.5700))",
store_location = "13.4050,52.5200",
brand = "Peaknetic",
model = "Secto",
price = 430,
description = "If you struggle with stiff fingers or a kinked neck or back after a few minutes on the road, this lightweight, aluminum bike alleviates those issues and allows you to enjoy the ride. From the ergonomic grips to the lumbar-supporting seat position, the Roll Low-Entry offers incredible comfort. The rear-inclined seat tube facilitates stability by allowing you to put a foot on the ground to balance at a stop, and the low step-over frame makes it accessible for all ability and mobility levels. The saddle is very soft, with a wide back to support your hip joints and a cutout in the center to redistribute that pressure. Rim brakes deliver satisfactory braking control, and the wide tires provide a smooth, stable ride on paved roads and gravel. Rack and fender mounts facilitate setting up the Roll Low-Entry as your preferred commuter, and the BMX-like handlebar offers space for mounting a flashlight, bell, or phone holder.",
condition = "new"
},
new
{
pickup_zone = "POLYGON((1.9450 41.4301, 2.4018 41.4301, 2.4018 41.1987, 1.9450 41.1987, 1.9450 41.4301))",
store_location = "2.1734, 41.3851",
brand = "nHill",
model = "Summit",
price = 1200,
description = "This budget mountain bike from nHill performs well both on bike paths and on the trail. The fork with 100mm of travel absorbs rough terrain. Fat Kenda Booster tires give you grip in corners and on wet trails. The Shimano Tourney drivetrain offered enough gears for finding a comfortable pace to ride uphill, and the Tektro hydraulic disc brakes break smoothly. Whether you want an affordable bike that you can take to work, but also take trail in mountains on the weekends or you’re just after a stable, comfortable ride for the bike path, the Summit gives a good value for money.",
condition = "new"
},
new
{
pickup_zone = "POLYGON((12.4464 42.1028, 12.5464 42.1028, 12.5464 41.7028, 12.4464 41.7028, 12.4464 42.1028))",
store_location = "12.4964,41.9028",
model = "ThrillCycle",
brand = "BikeShind",
price = 815,
description = "An artsy, retro-inspired bicycle that’s as functional as it is pretty: The ThrillCycle steel frame offers a smooth ride. A 9-speed drivetrain has enough gears for coasting in the city, but we wouldn’t suggest taking it to the mountains. Fenders protect you from mud, and a rear basket lets you transport groceries, flowers and books. The ThrillCycle comes with a limited lifetime warranty, so this little guy will last you long past graduation.",
condition = "refurbished"
}
};
for (var i = 0; i < bicycles.Length; i++)
{
db.JSON().Set($"bicycle:{i}", "$", bicycles[i]);
}
AggregationResult res1 = db.FT().Aggregate(
"idx:bicycle",
new AggregationRequest("@condition:{new}")
.Load(new FieldName("__key"), new FieldName("price"))
.Apply("@price - (@price * 0.1)", "discounted")
);
Console.WriteLine(res1.TotalResults); // >>> 5
for (int i = 0; i < res1.TotalResults; i++)
{
Row res1Row = res1.GetRow(i);
Console.WriteLine(
$"Key: {res1Row["__key"]}, Price: {res1Row["price"]}, Discounted: {res1Row["discounted"]}"
);
}
// >>> 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
// Tests for 'agg1' step.
AggregationResult res2 = db.FT().Aggregate(
"idx:bicycle",
new AggregationRequest("*")
.Load(new FieldName("price"))
.Apply("@price<1000", "price_category")
.GroupBy(
"@condition",
Reducers.Sum("@price_category").As("num_affordable")
)
);
Console.WriteLine(res2.TotalResults); // >>> 3
for (int i = 0; i < res2.TotalResults; i++)
{
Row res2Row = res2.GetRow(i);
Console.WriteLine(
$"Condition: {res2Row["condition"]}, Num affordable: {res2Row["num_affordable"]}"
);
}
// >>> Condition: refurbished, Num affordable: 1
// >>> Condition: used, Num affordable: 1
// >>> Condition: new, Num affordable: 3
// Tests for 'agg2' step.
AggregationResult res3 = db.FT().Aggregate(
"idx:bicycle",
new AggregationRequest("*")
.Apply("'bicycle'", "type")
.GroupBy("@type", Reducers.Count().As("num_total"))
);
Console.WriteLine(res3.TotalResults); // >>> 1
Row res3Row = res3.GetRow(0);
Console.WriteLine($"Type: {res3Row["type"]}, Num total: {res3Row["num_total"]}");
// >>> Type: bicycle, Num total: 10
// Tests for 'agg3' step.
// Not supported in NRedisStack.
// Tests for 'agg4' step.
}
}
1) "3"
2) 1) "condition"
1) "refurbished"
2) "num_affordable"
3) "1"
3) 1) "condition"
1) "used"
2) "num_affordable"
3) "1"
4) 1) "condition"
1) "new"
2) "num_affordable"
3) "3"
注意：
你也可以使用FT.AGGREGATE创建更复杂的聚合管道。在一个GROUPBY子句下应用多个归约函数是可能的。此外，你还可以链接分组并混合额外的映射步骤（例如，GROUPBY ... REDUCE ... APPLY ... GROUPBY ... REDUCE）不进行分组的聚合
你不能在GROUPBY子句之外使用聚合函数，但你可以通过构建管道的方式，使得聚合发生在跨越所有文档的单个组上。如果你的文档没有共享一个共同的属性，你可以通过额外的APPLY步骤来添加它。
这是一个示例，它在计算所有具有该类型的文档之前，向每个文档添加一个类型属性 bicycle：
FT.AGGREGATE idx:bicycle "*" APPLY "'bicycle'" AS type GROUPBY 1 @type REDUCE COUNT 0 AS num_totalAre you tired of using redis-cli? Try Redis Insight - the developer GUI for Redis.
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()
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']]
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']]
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']]
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']]]
import assert from 'node:assert';
import fs from 'node:fs';
import { createClient } from 'redis';
import { SchemaFieldTypes, AggregateSteps, AggregateGroupByReducers } from '@redis/search';
const client = createClient();
await client.connect().catch(console.error);
// create index
await client.ft.create('idx:bicycle', {
'$.condition': {
type: SchemaFieldTypes.TAG,
AS: 'condition'
},
'$.price': {
type: SchemaFieldTypes.NUMERIC,
AS: 'price'
}
}, {
ON: 'JSON',
PREFIX: 'bicycle:'
})
// load data
const bicycles = JSON.parse(fs.readFileSync('data/query_em.json', 'utf8'));
await Promise.all(
bicycles.map((bicycle, bid) => {
return client.json.set(`bicycle:${bid}`, '$', bicycle);
})
);
const res1 = await client.ft.aggregate('idx:bicycle', '@condition:{new}', {
LOAD: ['__key', 'price'],
APPLY: {
expression: '@price - (@price * 0.1)',
AS: 'discounted'
}
});
console.log(res1.results.length); // >>> 5
console.log(res1.results); // >>>
//[
// [Object: null prototype] { __key: 'bicycle:0', price: '270' },
// [Object: null prototype] { __key: 'bicycle:5', price: '810' },
// [Object: null prototype] { __key: 'bicycle:6', price: '2300' },
// [Object: null prototype] { __key: 'bicycle:7', price: '430' },
// [Object: null prototype] { __key: 'bicycle:8', price: '1200' }
//]
const res2 = await client.ft.aggregate('idx:bicycle', '*', {
LOAD: ['@price'],
STEPS: [{
type: AggregateSteps.APPLY,
expression: '@price<1000',
AS: 'price_category'
},{
type: AggregateSteps.GROUPBY,
properties: '@condition',
REDUCE:[{
type: AggregateGroupByReducers.SUM,
property: '@price_category',
AS: 'num_affordable'
}]
}]
});
console.log(res2.results.length); // >>> 3
console.log(res2.results); // >>>
//[[Object: null prototype] { condition: 'refurbished', num_affordable: '1' },
// [Object: null prototype] { condition: 'used', num_affordable: '1' },
// [Object: null prototype] { condition: 'new', num_affordable: '3' }
//]
const res3 = await client.ft.aggregate('idx:bicycle', '*', {
STEPS: [{
type: AggregateSteps.APPLY,
expression: "'bicycle'",
AS: 'type'
}, {
type: AggregateSteps.GROUPBY,
properties: '@type',
REDUCE: [{
type: AggregateGroupByReducers.COUNT,
property: null,
AS: 'num_total'
}]
}]
});
console.log(res3.results.length); // >>> 1
console.log(res3.results); // >>>
//[ [Object: null prototype] { type: 'bicycle', num_total: '10' } ]
const res4 = await client.ft.aggregate('idx:bicycle', '*', {
LOAD: ['__key'],
STEPS: [{
type: AggregateSteps.GROUPBY,
properties: '@condition',
REDUCE: [{
type: AggregateGroupByReducers.TOLIST,
property: '__key',
AS: 'bicycles'
}]
}]
});
console.log(res4.results.length); // >>> 3
console.log(res4.results); // >>>
//[[Object: null prototype] {condition: 'refurbished', bicycles: [ 'bicycle:9' ]},
// [Object: null prototype] {condition: 'used', bicycles: [ 'bicycle:1', 'bicycle:2', 'bicycle:3', 'bicycle:4' ]},
// [Object: null prototype] {condition: 'new', bicycles: [ 'bicycle:5', 'bicycle:6', 'bicycle:7', 'bicycle:0', 'bicycle:8' ]}]
import java.util.List;
import java.util.stream.Stream;
import java.util.ArrayList;
import redis.clients.jedis.UnifiedJedis;
import redis.clients.jedis.json.Path2;
import redis.clients.jedis.search.FTCreateParams;
import redis.clients.jedis.search.IndexDataType;
import redis.clients.jedis.search.schemafields.*;
import redis.clients.jedis.search.aggr.*;
import redis.clients.jedis.exceptions.JedisDataException;
public class QueryAggExample {
public void run() {
UnifiedJedis jedis = new UnifiedJedis("redis://localhost:6379");
SchemaField[] schema = {
TextField.of("$.brand").as("brand"),
TextField.of("$.model").as("model"),
TextField.of("$.description").as("description"),
NumericField.of("$.price").as("price"),
TagField.of("$.condition").as("condition")
};
jedis.ftCreate("idx:bicycle",
FTCreateParams.createParams()
.on(IndexDataType.JSON)
.addPrefix("bicycle:"),
schema
);
String[] bicycleJsons = new String[] {
" {"
+ " \"pickup_zone\": \"POLYGON((-74.0610 40.7578, -73.9510 40.7578, -73.9510 40.6678, "
+ "-74.0610 40.6678, -74.0610 40.7578))\","
+ " \"store_location\": \"-74.0060,40.7128\","
+ " \"brand\": \"Velorim\","
+ " \"model\": \"Jigger\","
+ " \"price\": 270,"
+ " \"description\": \"Small and powerful, the Jigger is the best ride for the smallest of tikes! "
+ "This is the tiniest kids’ pedal bike on the market available without a coaster brake, the Jigger "
+ "is the vehicle of choice for the rare tenacious little rider raring to go.\","
+ " \"condition\": \"new\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((-118.2887 34.0972, -118.1987 34.0972, -118.1987 33.9872, "
+ "-118.2887 33.9872, -118.2887 34.0972))\","
+ " \"store_location\": \"-118.2437,34.0522\","
+ " \"brand\": \"Bicyk\","
+ " \"model\": \"Hillcraft\","
+ " \"price\": 1200,"
+ " \"description\": \"Kids want to ride with as little weight as possible. Especially "
+ "on an incline! They may be at the age when a 27.5'' wheel bike is just too clumsy coming "
+ "off a 24'' bike. The Hillcraft 26 is just the solution they need!\","
+ " \"condition\": \"used\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((-87.6848 41.9331, -87.5748 41.9331, -87.5748 41.8231, "
+ "-87.6848 41.8231, -87.6848 41.9331))\","
+ " \"store_location\": \"-87.6298,41.8781\","
+ " \"brand\": \"Nord\","
+ " \"model\": \"Chook air 5\","
+ " \"price\": 815,"
+ " \"description\": \"The Chook Air 5 gives kids aged six years and older a durable "
+ "and uberlight mountain bike for their first experience on tracks and easy cruising through "
+ "forests and fields. The lower top tube makes it easy to mount and dismount in any "
+ "situation, giving your kids greater safety on the trails.\","
+ " \"condition\": \"used\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((-80.2433 25.8067, -80.1333 25.8067, -80.1333 25.6967, "
+ "-80.2433 25.6967, -80.2433 25.8067))\","
+ " \"store_location\": \"-80.1918,25.7617\","
+ " \"brand\": \"Eva\","
+ " \"model\": \"Eva 291\","
+ " \"price\": 3400,"
+ " \"description\": \"The sister company to Nord, Eva launched in 2005 as the first "
+ "and only women-dedicated bicycle brand. Designed by women for women, allEva bikes "
+ "are optimized for the feminine physique using analytics from a body metrics database. "
+ "If you like 29ers, try the Eva 291. It’s a brand new bike for 2022.. This "
+ "full-suspension, cross-country ride has been designed for velocity. The 291 has "
+ "100mm of front and rear travel, a superlight aluminum frame and fast-rolling "
+ "29-inch wheels. Yippee!\","
+ " \"condition\": \"used\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((-122.4644 37.8199, -122.3544 37.8199, -122.3544 37.7099, "
+ "-122.4644 37.7099, -122.4644 37.8199))\","
+ " \"store_location\": \"-122.4194,37.7749\","
+ " \"brand\": \"Noka Bikes\","
+ " \"model\": \"Kahuna\","
+ " \"price\": 3200,"
+ " \"description\": \"Whether you want to try your hand at XC racing or are looking "
+ "for a lively trail bike that's just as inspiring on the climbs as it is over rougher "
+ "ground, the Wilder is one heck of a bike built specifically for short women. Both the "
+ "frames and components have been tweaked to include a women’s saddle, different bars "
+ "and unique colourway.\","
+ " \"condition\": \"used\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((-0.1778 51.5524, 0.0822 51.5524, 0.0822 51.4024, "
+ "-0.1778 51.4024, -0.1778 51.5524))\","
+ " \"store_location\": \"-0.1278,51.5074\","
+ " \"brand\": \"Breakout\","
+ " \"model\": \"XBN 2.1 Alloy\","
+ " \"price\": 810,"
+ " \"description\": \"The XBN 2.1 Alloy is our entry-level road bike – but that’s "
+ "not to say that it’s a basic machine. With an internal weld aluminium frame, a full "
+ "carbon fork, and the slick-shifting Claris gears from Shimano’s, this is a bike which "
+ "doesn’t break the bank and delivers craved performance.\","
+ " \"condition\": \"new\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((2.1767 48.9016, 2.5267 48.9016, 2.5267 48.5516, "
+ "2.1767 48.5516, 2.1767 48.9016))\","
+ " \"store_location\": \"2.3522,48.8566\","
+ " \"brand\": \"ScramBikes\","
+ " \"model\": \"WattBike\","
+ " \"price\": 2300,"
+ " \"description\": \"The WattBike is the best e-bike for people who still "
+ "feel young at heart. It has a Bafang 1000W mid-drive system and a 48V 17.5AH "
+ "Samsung Lithium-Ion battery, allowing you to ride for more than 60 miles on one "
+ "charge. It’s great for tackling hilly terrain or if you just fancy a more "
+ "leisurely ride. With three working modes, you can choose between E-bike, "
+ "assisted bicycle, and normal bike modes.\","
+ " \"condition\": \"new\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((13.3260 52.5700, 13.6550 52.5700, 13.6550 52.2700, "
+ "13.3260 52.2700, 13.3260 52.5700))\","
+ " \"store_location\": \"13.4050,52.5200\","
+ " \"brand\": \"Peaknetic\","
+ " \"model\": \"Secto\","
+ " \"price\": 430,"
+ " \"description\": \"If you struggle with stiff fingers or a kinked neck or "
+ "back after a few minutes on the road, this lightweight, aluminum bike alleviates "
+ "those issues and allows you to enjoy the ride. From the ergonomic grips to the "
+ "lumbar-supporting seat position, the Roll Low-Entry offers incredible comfort. "
+ "The rear-inclined seat tube facilitates stability by allowing you to put a foot "
+ "on the ground to balance at a stop, and the low step-over frame makes it "
+ "accessible for all ability and mobility levels. The saddle is very soft, with "
+ "a wide back to support your hip joints and a cutout in the center to redistribute "
+ "that pressure. Rim brakes deliver satisfactory braking control, and the wide tires "
+ "provide a smooth, stable ride on paved roads and gravel. Rack and fender mounts "
+ "facilitate setting up the Roll Low-Entry as your preferred commuter, and the "
+ "BMX-like handlebar offers space for mounting a flashlight, bell, or phone holder.\","
+ " \"condition\": \"new\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((1.9450 41.4301, 2.4018 41.4301, 2.4018 41.1987, "
+ "1.9450 41.1987, 1.9450 41.4301))\","
+ " \"store_location\": \"2.1734, 41.3851\","
+ " \"brand\": \"nHill\","
+ " \"model\": \"Summit\","
+ " \"price\": 1200,"
+ " \"description\": \"This budget mountain bike from nHill performs well both "
+ "on bike paths and on the trail. The fork with 100mm of travel absorbs rough "
+ "terrain. Fat Kenda Booster tires give you grip in corners and on wet trails. "
+ "The Shimano Tourney drivetrain offered enough gears for finding a comfortable "
+ "pace to ride uphill, and the Tektro hydraulic disc brakes break smoothly. "
+ "Whether you want an affordable bike that you can take to work, but also take "
+ "trail in mountains on the weekends or you’re just after a stable, comfortable "
+ "ride for the bike path, the Summit gives a good value for money.\","
+ " \"condition\": \"new\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((12.4464 42.1028, 12.5464 42.1028, "
+ "12.5464 41.7028, 12.4464 41.7028, 12.4464 42.1028))\","
+ " \"store_location\": \"12.4964,41.9028\","
+ " \"model\": \"ThrillCycle\","
+ " \"brand\": \"BikeShind\","
+ " \"price\": 815,"
+ " \"description\": \"An artsy, retro-inspired bicycle that’s as "
+ "functional as it is pretty: The ThrillCycle steel frame offers a smooth ride. "
+ "A 9-speed drivetrain has enough gears for coasting in the city, but we wouldn’t "
+ "suggest taking it to the mountains. Fenders protect you from mud, and a rear "
+ "basket lets you transport groceries, flowers and books. The ThrillCycle comes "
+ "with a limited lifetime warranty, so this little guy will last you long "
+ "past graduation.\","
+ " \"condition\": \"refurbished\""
+ " }"
};
for (int i = 0; i < bicycleJsons.length; i++) {
jedis.jsonSet("bicycle:" + i, new Path2("$"), bicycleJsons[i]);
}
AggregationResult res1 = jedis.ftAggregate("idx:bicycle",
new AggregationBuilder("@condition:{new}")
.load("__key", "price")
.apply("@price - (@price * 0.1)", "discounted")
);
List<Row> rows1 = res1.getRows();
System.out.println(rows1.size()); // >>> 5
for (int i = 0; i < rows1.size(); i++) {
System.out.println(rows1.get(i));
}
// >>> {__key=bicycle:0, discounted=243, price=270}
// >>> {__key=bicycle:5, discounted=729, price=810}
// >>> {__key=bicycle:6, discounted=2070, price=2300}
// >>> {__key=bicycle:7, discounted=387, price=430}
// >>> {__key=bicycle:8, discounted=1080, price=1200}
// Tests for 'agg1' step.
AggregationResult res2 = jedis.ftAggregate("idx:bicycle",
new AggregationBuilder("*")
.load("price")
.apply("@price<1000", "price_category")
.groupBy("@condition",
Reducers.sum("@price_category").as("num_affordable"))
);
List<Row> rows2 = res2.getRows();
System.out.println(rows2.size()); // >>> 3
for (int i = 0; i < rows2.size(); i++) {
System.out.println(rows2.get(i));
}
// >>> {condition=refurbished, num_affordable=1}
// >>> {condition=used, num_affordable=1}
// >>> {condition=new, num_affordable=3}
// Tests for 'agg2' step.
AggregationResult res3 = jedis.ftAggregate("idx:bicycle",
new AggregationBuilder("*")
.apply("'bicycle'", "type")
.groupBy("@type", Reducers.count().as("num_total"))
);
List<Row> rows3 = res3.getRows();
System.out.println(rows3.size()); // >>> 1
for (int i = 0; i < rows3.size(); i++) {
System.out.println(rows3.get(i));
}
// >>> {type=bicycle, num_total=10}
// Tests for 'agg3' step.
AggregationResult res4 = jedis.ftAggregate("idx:bicycle",
new AggregationBuilder("*")
.load("__key")
.groupBy("@condition",
Reducers.to_list("__key").as("bicycles"))
);
List<Row> rows4 = res4.getRows();
System.out.println(rows4.size()); // >>> 3
for (int i = 0; i < rows4.size(); i++) {
System.out.println(rows4.get(i));
}
// >>> {condition=refurbished, bicycles=[bicycle:9]}
// >>> {condition=used, bicycles=[bicycle:3, bicycle:4, bicycle:1, bicycle:2]}
// >>> {condition=new, bicycles=[bicycle:7, bicycle:0, bicycle:5, bicycle:6, bicycle:8]}
// Tests for 'agg4' step.
jedis.close();
}
}
using NRedisStack.RedisStackCommands;
using NRedisStack.Search;
using NRedisStack.Search.Aggregation;
using NRedisStack.Search.Literals.Enums;
using NRedisStack.Tests;
using StackExchange.Redis;
public class QueryAggExample
{
public void run()
{
var muxer = ConnectionMultiplexer.Connect("localhost:6379");
var db = muxer.GetDatabase();
Schema bikeSchema = new Schema()
.AddTagField(new FieldName("$.condition", "condition"))
.AddNumericField(new FieldName("$.price", "price"));
FTCreateParams bikeParams = new FTCreateParams()
.AddPrefix("bicycle:")
.On(IndexDataType.JSON);
db.FT().Create("idx:bicycle", bikeParams, bikeSchema);
var bicycles = new object[] {
new
{
pickup_zone = "POLYGON((-74.0610 40.7578, -73.9510 40.7578, -73.9510 40.6678, -74.0610 40.6678, -74.0610 40.7578))",
store_location = "-74.0060,40.7128",
brand = "Velorim",
model = "Jigger",
price = 270,
description = "Small and powerful, the Jigger is the best ride for the smallest of tikes! This is the tiniest kids’ pedal bike on the market available without a coaster brake, the Jigger is the vehicle of choice for the rare tenacious little rider raring to go.",
condition = "new"
},
new
{
pickup_zone = "POLYGON((-118.2887 34.0972, -118.1987 34.0972, -118.1987 33.9872, -118.2887 33.9872, -118.2887 34.0972))",
store_location = "-118.2437,34.0522",
brand = "Bicyk",
model = "Hillcraft",
price = 1200,
description = "Kids want to ride with as little weight as possible. Especially on an incline! They may be at the age when a 27.5\" wheel bike is just too clumsy coming off a 24\" bike. The Hillcraft 26 is just the solution they need!",
condition = "used"
},
new
{
pickup_zone = "POLYGON((-87.6848 41.9331, -87.5748 41.9331, -87.5748 41.8231, -87.6848 41.8231, -87.6848 41.9331))",
store_location = "-87.6298,41.8781",
brand = "Nord",
model = "Chook air 5",
price = 815,
description = "The Chook Air 5 gives kids aged six years and older a durable and uberlight mountain bike for their first experience on tracks and easy cruising through forests and fields. The lower top tube makes it easy to mount and dismount in any situation, giving your kids greater safety on the trails.",
condition = "used"
},
new
{
pickup_zone = "POLYGON((-80.2433 25.8067, -80.1333 25.8067, -80.1333 25.6967, -80.2433 25.6967, -80.2433 25.8067))",
store_location = "-80.1918,25.7617",
brand = "Eva",
model = "Eva 291",
price = 3400,
description = "The sister company to Nord, Eva launched in 2005 as the first and only women-dedicated bicycle brand. Designed by women for women, allEva bikes are optimized for the feminine physique using analytics from a body metrics database. If you like 29ers, try the Eva 291. It’s a brand new bike for 2022.. This full-suspension, cross-country ride has been designed for velocity. The 291 has 100mm of front and rear travel, a superlight aluminum frame and fast-rolling 29-inch wheels. Yippee!",
condition = "used"
},
new
{
pickup_zone = "POLYGON((-122.4644 37.8199, -122.3544 37.8199, -122.3544 37.7099, -122.4644 37.7099, -122.4644 37.8199))",
store_location = "-122.4194,37.7749",
brand = "Noka Bikes",
model = "Kahuna",
price = 3200,
description = "Whether you want to try your hand at XC racing or are looking for a lively trail bike that's just as inspiring on the climbs as it is over rougher ground, the Wilder is one heck of a bike built specifically for short women. Both the frames and components have been tweaked to include a women’s saddle, different bars and unique colourway.",
condition = "used"
},
new
{
pickup_zone = "POLYGON((-0.1778 51.5524, 0.0822 51.5524, 0.0822 51.4024, -0.1778 51.4024, -0.1778 51.5524))",
store_location = "-0.1278,51.5074",
brand = "Breakout",
model = "XBN 2.1 Alloy",
price = 810,
description = "The XBN 2.1 Alloy is our entry-level road bike – but that’s not to say that it’s a basic machine. With an internal weld aluminium frame, a full carbon fork, and the slick-shifting Claris gears from Shimano’s, this is a bike which doesn’t break the bank and delivers craved performance.",
condition = "new"
},
new
{
pickup_zone = "POLYGON((2.1767 48.9016, 2.5267 48.9016, 2.5267 48.5516, 2.1767 48.5516, 2.1767 48.9016))",
store_location = "2.3522,48.8566",
brand = "ScramBikes",
model = "WattBike",
price = 2300,
description = "The WattBike is the best e-bike for people who still feel young at heart. It has a Bafang 1000W mid-drive system and a 48V 17.5AH Samsung Lithium-Ion battery, allowing you to ride for more than 60 miles on one charge. It’s great for tackling hilly terrain or if you just fancy a more leisurely ride. With three working modes, you can choose between E-bike, assisted bicycle, and normal bike modes.",
condition = "new"
},
new
{
pickup_zone = "POLYGON((13.3260 52.5700, 13.6550 52.5700, 13.6550 52.2700, 13.3260 52.2700, 13.3260 52.5700))",
store_location = "13.4050,52.5200",
brand = "Peaknetic",
model = "Secto",
price = 430,
description = "If you struggle with stiff fingers or a kinked neck or back after a few minutes on the road, this lightweight, aluminum bike alleviates those issues and allows you to enjoy the ride. From the ergonomic grips to the lumbar-supporting seat position, the Roll Low-Entry offers incredible comfort. The rear-inclined seat tube facilitates stability by allowing you to put a foot on the ground to balance at a stop, and the low step-over frame makes it accessible for all ability and mobility levels. The saddle is very soft, with a wide back to support your hip joints and a cutout in the center to redistribute that pressure. Rim brakes deliver satisfactory braking control, and the wide tires provide a smooth, stable ride on paved roads and gravel. Rack and fender mounts facilitate setting up the Roll Low-Entry as your preferred commuter, and the BMX-like handlebar offers space for mounting a flashlight, bell, or phone holder.",
condition = "new"
},
new
{
pickup_zone = "POLYGON((1.9450 41.4301, 2.4018 41.4301, 2.4018 41.1987, 1.9450 41.1987, 1.9450 41.4301))",
store_location = "2.1734, 41.3851",
brand = "nHill",
model = "Summit",
price = 1200,
description = "This budget mountain bike from nHill performs well both on bike paths and on the trail. The fork with 100mm of travel absorbs rough terrain. Fat Kenda Booster tires give you grip in corners and on wet trails. The Shimano Tourney drivetrain offered enough gears for finding a comfortable pace to ride uphill, and the Tektro hydraulic disc brakes break smoothly. Whether you want an affordable bike that you can take to work, but also take trail in mountains on the weekends or you’re just after a stable, comfortable ride for the bike path, the Summit gives a good value for money.",
condition = "new"
},
new
{
pickup_zone = "POLYGON((12.4464 42.1028, 12.5464 42.1028, 12.5464 41.7028, 12.4464 41.7028, 12.4464 42.1028))",
store_location = "12.4964,41.9028",
model = "ThrillCycle",
brand = "BikeShind",
price = 815,
description = "An artsy, retro-inspired bicycle that’s as functional as it is pretty: The ThrillCycle steel frame offers a smooth ride. A 9-speed drivetrain has enough gears for coasting in the city, but we wouldn’t suggest taking it to the mountains. Fenders protect you from mud, and a rear basket lets you transport groceries, flowers and books. The ThrillCycle comes with a limited lifetime warranty, so this little guy will last you long past graduation.",
condition = "refurbished"
}
};
for (var i = 0; i < bicycles.Length; i++)
{
db.JSON().Set($"bicycle:{i}", "$", bicycles[i]);
}
AggregationResult res1 = db.FT().Aggregate(
"idx:bicycle",
new AggregationRequest("@condition:{new}")
.Load(new FieldName("__key"), new FieldName("price"))
.Apply("@price - (@price * 0.1)", "discounted")
);
Console.WriteLine(res1.TotalResults); // >>> 5
for (int i = 0; i < res1.TotalResults; i++)
{
Row res1Row = res1.GetRow(i);
Console.WriteLine(
$"Key: {res1Row["__key"]}, Price: {res1Row["price"]}, Discounted: {res1Row["discounted"]}"
);
}
// >>> 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
// Tests for 'agg1' step.
AggregationResult res2 = db.FT().Aggregate(
"idx:bicycle",
new AggregationRequest("*")
.Load(new FieldName("price"))
.Apply("@price<1000", "price_category")
.GroupBy(
"@condition",
Reducers.Sum("@price_category").As("num_affordable")
)
);
Console.WriteLine(res2.TotalResults); // >>> 3
for (int i = 0; i < res2.TotalResults; i++)
{
Row res2Row = res2.GetRow(i);
Console.WriteLine(
$"Condition: {res2Row["condition"]}, Num affordable: {res2Row["num_affordable"]}"
);
}
// >>> Condition: refurbished, Num affordable: 1
// >>> Condition: used, Num affordable: 1
// >>> Condition: new, Num affordable: 3
// Tests for 'agg2' step.
AggregationResult res3 = db.FT().Aggregate(
"idx:bicycle",
new AggregationRequest("*")
.Apply("'bicycle'", "type")
.GroupBy("@type", Reducers.Count().As("num_total"))
);
Console.WriteLine(res3.TotalResults); // >>> 1
Row res3Row = res3.GetRow(0);
Console.WriteLine($"Type: {res3Row["type"]}, Num total: {res3Row["num_total"]}");
// >>> Type: bicycle, Num total: 10
// Tests for 'agg3' step.
// Not supported in NRedisStack.
// Tests for 'agg4' step.
}
}
结果是：
1) "1"
2) 1) "type"
1) "bicycle"
2) "num_total"
3) "10"
不进行聚合的分组
有时需要对数据进行分组而不应用数学聚合函数。如果你需要一个分组后的值列表，那么TOLIST函数会很有帮助。
以下示例展示了如何按condition对所有自行车进行分组：
FT.AGGREGATE idx:bicycle "*" LOAD 1 "__key" GROUPBY 1 "@condition" REDUCE TOLIST 1 "__key" AS bicyclesAre you tired of using redis-cli? Try Redis Insight - the developer GUI for Redis.
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()
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']]
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']]
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']]
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']]]
import assert from 'node:assert';
import fs from 'node:fs';
import { createClient } from 'redis';
import { SchemaFieldTypes, AggregateSteps, AggregateGroupByReducers } from '@redis/search';
const client = createClient();
await client.connect().catch(console.error);
// create index
await client.ft.create('idx:bicycle', {
'$.condition': {
type: SchemaFieldTypes.TAG,
AS: 'condition'
},
'$.price': {
type: SchemaFieldTypes.NUMERIC,
AS: 'price'
}
}, {
ON: 'JSON',
PREFIX: 'bicycle:'
})
// load data
const bicycles = JSON.parse(fs.readFileSync('data/query_em.json', 'utf8'));
await Promise.all(
bicycles.map((bicycle, bid) => {
return client.json.set(`bicycle:${bid}`, '$', bicycle);
})
);
const res1 = await client.ft.aggregate('idx:bicycle', '@condition:{new}', {
LOAD: ['__key', 'price'],
APPLY: {
expression: '@price - (@price * 0.1)',
AS: 'discounted'
}
});
console.log(res1.results.length); // >>> 5
console.log(res1.results); // >>>
//[
// [Object: null prototype] { __key: 'bicycle:0', price: '270' },
// [Object: null prototype] { __key: 'bicycle:5', price: '810' },
// [Object: null prototype] { __key: 'bicycle:6', price: '2300' },
// [Object: null prototype] { __key: 'bicycle:7', price: '430' },
// [Object: null prototype] { __key: 'bicycle:8', price: '1200' }
//]
const res2 = await client.ft.aggregate('idx:bicycle', '*', {
LOAD: ['@price'],
STEPS: [{
type: AggregateSteps.APPLY,
expression: '@price<1000',
AS: 'price_category'
},{
type: AggregateSteps.GROUPBY,
properties: '@condition',
REDUCE:[{
type: AggregateGroupByReducers.SUM,
property: '@price_category',
AS: 'num_affordable'
}]
}]
});
console.log(res2.results.length); // >>> 3
console.log(res2.results); // >>>
//[[Object: null prototype] { condition: 'refurbished', num_affordable: '1' },
// [Object: null prototype] { condition: 'used', num_affordable: '1' },
// [Object: null prototype] { condition: 'new', num_affordable: '3' }
//]
const res3 = await client.ft.aggregate('idx:bicycle', '*', {
STEPS: [{
type: AggregateSteps.APPLY,
expression: "'bicycle'",
AS: 'type'
}, {
type: AggregateSteps.GROUPBY,
properties: '@type',
REDUCE: [{
type: AggregateGroupByReducers.COUNT,
property: null,
AS: 'num_total'
}]
}]
});
console.log(res3.results.length); // >>> 1
console.log(res3.results); // >>>
//[ [Object: null prototype] { type: 'bicycle', num_total: '10' } ]
const res4 = await client.ft.aggregate('idx:bicycle', '*', {
LOAD: ['__key'],
STEPS: [{
type: AggregateSteps.GROUPBY,
properties: '@condition',
REDUCE: [{
type: AggregateGroupByReducers.TOLIST,
property: '__key',
AS: 'bicycles'
}]
}]
});
console.log(res4.results.length); // >>> 3
console.log(res4.results); // >>>
//[[Object: null prototype] {condition: 'refurbished', bicycles: [ 'bicycle:9' ]},
// [Object: null prototype] {condition: 'used', bicycles: [ 'bicycle:1', 'bicycle:2', 'bicycle:3', 'bicycle:4' ]},
// [Object: null prototype] {condition: 'new', bicycles: [ 'bicycle:5', 'bicycle:6', 'bicycle:7', 'bicycle:0', 'bicycle:8' ]}]
import java.util.List;
import java.util.stream.Stream;
import java.util.ArrayList;
import redis.clients.jedis.UnifiedJedis;
import redis.clients.jedis.json.Path2;
import redis.clients.jedis.search.FTCreateParams;
import redis.clients.jedis.search.IndexDataType;
import redis.clients.jedis.search.schemafields.*;
import redis.clients.jedis.search.aggr.*;
import redis.clients.jedis.exceptions.JedisDataException;
public class QueryAggExample {
public void run() {
UnifiedJedis jedis = new UnifiedJedis("redis://localhost:6379");
SchemaField[] schema = {
TextField.of("$.brand").as("brand"),
TextField.of("$.model").as("model"),
TextField.of("$.description").as("description"),
NumericField.of("$.price").as("price"),
TagField.of("$.condition").as("condition")
};
jedis.ftCreate("idx:bicycle",
FTCreateParams.createParams()
.on(IndexDataType.JSON)
.addPrefix("bicycle:"),
schema
);
String[] bicycleJsons = new String[] {
" {"
+ " \"pickup_zone\": \"POLYGON((-74.0610 40.7578, -73.9510 40.7578, -73.9510 40.6678, "
+ "-74.0610 40.6678, -74.0610 40.7578))\","
+ " \"store_location\": \"-74.0060,40.7128\","
+ " \"brand\": \"Velorim\","
+ " \"model\": \"Jigger\","
+ " \"price\": 270,"
+ " \"description\": \"Small and powerful, the Jigger is the best ride for the smallest of tikes! "
+ "This is the tiniest kids’ pedal bike on the market available without a coaster brake, the Jigger "
+ "is the vehicle of choice for the rare tenacious little rider raring to go.\","
+ " \"condition\": \"new\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((-118.2887 34.0972, -118.1987 34.0972, -118.1987 33.9872, "
+ "-118.2887 33.9872, -118.2887 34.0972))\","
+ " \"store_location\": \"-118.2437,34.0522\","
+ " \"brand\": \"Bicyk\","
+ " \"model\": \"Hillcraft\","
+ " \"price\": 1200,"
+ " \"description\": \"Kids want to ride with as little weight as possible. Especially "
+ "on an incline! They may be at the age when a 27.5'' wheel bike is just too clumsy coming "
+ "off a 24'' bike. The Hillcraft 26 is just the solution they need!\","
+ " \"condition\": \"used\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((-87.6848 41.9331, -87.5748 41.9331, -87.5748 41.8231, "
+ "-87.6848 41.8231, -87.6848 41.9331))\","
+ " \"store_location\": \"-87.6298,41.8781\","
+ " \"brand\": \"Nord\","
+ " \"model\": \"Chook air 5\","
+ " \"price\": 815,"
+ " \"description\": \"The Chook Air 5 gives kids aged six years and older a durable "
+ "and uberlight mountain bike for their first experience on tracks and easy cruising through "
+ "forests and fields. The lower top tube makes it easy to mount and dismount in any "
+ "situation, giving your kids greater safety on the trails.\","
+ " \"condition\": \"used\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((-80.2433 25.8067, -80.1333 25.8067, -80.1333 25.6967, "
+ "-80.2433 25.6967, -80.2433 25.8067))\","
+ " \"store_location\": \"-80.1918,25.7617\","
+ " \"brand\": \"Eva\","
+ " \"model\": \"Eva 291\","
+ " \"price\": 3400,"
+ " \"description\": \"The sister company to Nord, Eva launched in 2005 as the first "
+ "and only women-dedicated bicycle brand. Designed by women for women, allEva bikes "
+ "are optimized for the feminine physique using analytics from a body metrics database. "
+ "If you like 29ers, try the Eva 291. It’s a brand new bike for 2022.. This "
+ "full-suspension, cross-country ride has been designed for velocity. The 291 has "
+ "100mm of front and rear travel, a superlight aluminum frame and fast-rolling "
+ "29-inch wheels. Yippee!\","
+ " \"condition\": \"used\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((-122.4644 37.8199, -122.3544 37.8199, -122.3544 37.7099, "
+ "-122.4644 37.7099, -122.4644 37.8199))\","
+ " \"store_location\": \"-122.4194,37.7749\","
+ " \"brand\": \"Noka Bikes\","
+ " \"model\": \"Kahuna\","
+ " \"price\": 3200,"
+ " \"description\": \"Whether you want to try your hand at XC racing or are looking "
+ "for a lively trail bike that's just as inspiring on the climbs as it is over rougher "
+ "ground, the Wilder is one heck of a bike built specifically for short women. Both the "
+ "frames and components have been tweaked to include a women’s saddle, different bars "
+ "and unique colourway.\","
+ " \"condition\": \"used\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((-0.1778 51.5524, 0.0822 51.5524, 0.0822 51.4024, "
+ "-0.1778 51.4024, -0.1778 51.5524))\","
+ " \"store_location\": \"-0.1278,51.5074\","
+ " \"brand\": \"Breakout\","
+ " \"model\": \"XBN 2.1 Alloy\","
+ " \"price\": 810,"
+ " \"description\": \"The XBN 2.1 Alloy is our entry-level road bike – but that’s "
+ "not to say that it’s a basic machine. With an internal weld aluminium frame, a full "
+ "carbon fork, and the slick-shifting Claris gears from Shimano’s, this is a bike which "
+ "doesn’t break the bank and delivers craved performance.\","
+ " \"condition\": \"new\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((2.1767 48.9016, 2.5267 48.9016, 2.5267 48.5516, "
+ "2.1767 48.5516, 2.1767 48.9016))\","
+ " \"store_location\": \"2.3522,48.8566\","
+ " \"brand\": \"ScramBikes\","
+ " \"model\": \"WattBike\","
+ " \"price\": 2300,"
+ " \"description\": \"The WattBike is the best e-bike for people who still "
+ "feel young at heart. It has a Bafang 1000W mid-drive system and a 48V 17.5AH "
+ "Samsung Lithium-Ion battery, allowing you to ride for more than 60 miles on one "
+ "charge. It’s great for tackling hilly terrain or if you just fancy a more "
+ "leisurely ride. With three working modes, you can choose between E-bike, "
+ "assisted bicycle, and normal bike modes.\","
+ " \"condition\": \"new\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((13.3260 52.5700, 13.6550 52.5700, 13.6550 52.2700, "
+ "13.3260 52.2700, 13.3260 52.5700))\","
+ " \"store_location\": \"13.4050,52.5200\","
+ " \"brand\": \"Peaknetic\","
+ " \"model\": \"Secto\","
+ " \"price\": 430,"
+ " \"description\": \"If you struggle with stiff fingers or a kinked neck or "
+ "back after a few minutes on the road, this lightweight, aluminum bike alleviates "
+ "those issues and allows you to enjoy the ride. From the ergonomic grips to the "
+ "lumbar-supporting seat position, the Roll Low-Entry offers incredible comfort. "
+ "The rear-inclined seat tube facilitates stability by allowing you to put a foot "
+ "on the ground to balance at a stop, and the low step-over frame makes it "
+ "accessible for all ability and mobility levels. The saddle is very soft, with "
+ "a wide back to support your hip joints and a cutout in the center to redistribute "
+ "that pressure. Rim brakes deliver satisfactory braking control, and the wide tires "
+ "provide a smooth, stable ride on paved roads and gravel. Rack and fender mounts "
+ "facilitate setting up the Roll Low-Entry as your preferred commuter, and the "
+ "BMX-like handlebar offers space for mounting a flashlight, bell, or phone holder.\","
+ " \"condition\": \"new\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((1.9450 41.4301, 2.4018 41.4301, 2.4018 41.1987, "
+ "1.9450 41.1987, 1.9450 41.4301))\","
+ " \"store_location\": \"2.1734, 41.3851\","
+ " \"brand\": \"nHill\","
+ " \"model\": \"Summit\","
+ " \"price\": 1200,"
+ " \"description\": \"This budget mountain bike from nHill performs well both "
+ "on bike paths and on the trail. The fork with 100mm of travel absorbs rough "
+ "terrain. Fat Kenda Booster tires give you grip in corners and on wet trails. "
+ "The Shimano Tourney drivetrain offered enough gears for finding a comfortable "
+ "pace to ride uphill, and the Tektro hydraulic disc brakes break smoothly. "
+ "Whether you want an affordable bike that you can take to work, but also take "
+ "trail in mountains on the weekends or you’re just after a stable, comfortable "
+ "ride for the bike path, the Summit gives a good value for money.\","
+ " \"condition\": \"new\""
+ " }",
" {"
+ " \"pickup_zone\": \"POLYGON((12.4464 42.1028, 12.5464 42.1028, "
+ "12.5464 41.7028, 12.4464 41.7028, 12.4464 42.1028))\","
+ " \"store_location\": \"12.4964,41.9028\","
+ " \"model\": \"ThrillCycle\","
+ " \"brand\": \"BikeShind\","
+ " \"price\": 815,"
+ " \"description\": \"An artsy, retro-inspired bicycle that’s as "
+ "functional as it is pretty: The ThrillCycle steel frame offers a smooth ride. "
+ "A 9-speed drivetrain has enough gears for coasting in the city, but we wouldn’t "
+ "suggest taking it to the mountains. Fenders protect you from mud, and a rear "
+ "basket lets you transport groceries, flowers and books. The ThrillCycle comes "
+ "with a limited lifetime warranty, so this little guy will last you long "
+ "past graduation.\","
+ " \"condition\": \"refurbished\""
+ " }"
};
for (int i = 0; i < bicycleJsons.length; i++) {
jedis.jsonSet("bicycle:" + i, new Path2("$"), bicycleJsons[i]);
}
AggregationResult res1 = jedis.ftAggregate("idx:bicycle",
new AggregationBuilder("@condition:{new}")
.load("__key", "price")
.apply("@price - (@price * 0.1)", "discounted")
);
List<Row> rows1 = res1.getRows();
System.out.println(rows1.size()); // >>> 5
for (int i = 0; i < rows1.size(); i++) {
System.out.println(rows1.get(i));
}
// >>> {__key=bicycle:0, discounted=243, price=270}
// >>> {__key=bicycle:5, discounted=729, price=810}
// >>> {__key=bicycle:6, discounted=2070, price=2300}
// >>> {__key=bicycle:7, discounted=387, price=430}
// >>> {__key=bicycle:8, discounted=1080, price=1200}
// Tests for 'agg1' step.
AggregationResult res2 = jedis.ftAggregate("idx:bicycle",
new AggregationBuilder("*")
.load("price")
.apply("@price<1000", "price_category")
.groupBy("@condition",
Reducers.sum("@price_category").as("num_affordable"))
);
List<Row> rows2 = res2.getRows();
System.out.println(rows2.size()); // >>> 3
for (int i = 0; i < rows2.size(); i++) {
System.out.println(rows2.get(i));
}
// >>> {condition=refurbished, num_affordable=1}
// >>> {condition=used, num_affordable=1}
// >>> {condition=new, num_affordable=3}
// Tests for 'agg2' step.
AggregationResult res3 = jedis.ftAggregate("idx:bicycle",
new AggregationBuilder("*")
.apply("'bicycle'", "type")
.groupBy("@type", Reducers.count().as("num_total"))
);
List<Row> rows3 = res3.getRows();
System.out.println(rows3.size()); // >>> 1
for (int i = 0; i < rows3.size(); i++) {
System.out.println(rows3.get(i));
}
// >>> {type=bicycle, num_total=10}
// Tests for 'agg3' step.
AggregationResult res4 = jedis.ftAggregate("idx:bicycle",
new AggregationBuilder("*")
.load("__key")
.groupBy("@condition",
Reducers.to_list("__key").as("bicycles"))
);
List<Row> rows4 = res4.getRows();
System.out.println(rows4.size()); // >>> 3
for (int i = 0; i < rows4.size(); i++) {
System.out.println(rows4.get(i));
}
// >>> {condition=refurbished, bicycles=[bicycle:9]}
// >>> {condition=used, bicycles=[bicycle:3, bicycle:4, bicycle:1, bicycle:2]}
// >>> {condition=new, bicycles=[bicycle:7, bicycle:0, bicycle:5, bicycle:6, bicycle:8]}
// Tests for 'agg4' step.
jedis.close();
}
}
using NRedisStack.RedisStackCommands;
using NRedisStack.Search;
using NRedisStack.Search.Aggregation;
using NRedisStack.Search.Literals.Enums;
using NRedisStack.Tests;
using StackExchange.Redis;
public class QueryAggExample
{
public void run()
{
var muxer = ConnectionMultiplexer.Connect("localhost:6379");
var db = muxer.GetDatabase();
Schema bikeSchema = new Schema()
.AddTagField(new FieldName("$.condition", "condition"))
.AddNumericField(new FieldName("$.price", "price"));
FTCreateParams bikeParams = new FTCreateParams()
.AddPrefix("bicycle:")
.On(IndexDataType.JSON);
db.FT().Create("idx:bicycle", bikeParams, bikeSchema);
var bicycles = new object[] {
new
{
pickup_zone = "POLYGON((-74.0610 40.7578, -73.9510 40.7578, -73.9510 40.6678, -74.0610 40.6678, -74.0610 40.7578))",
store_location = "-74.0060,40.7128",
brand = "Velorim",
model = "Jigger",
price = 270,
description = "Small and powerful, the Jigger is the best ride for the smallest of tikes! This is the tiniest kids’ pedal bike on the market available without a coaster brake, the Jigger is the vehicle of choice for the rare tenacious little rider raring to go.",
condition = "new"
},
new
{
pickup_zone = "POLYGON((-118.2887 34.0972, -118.1987 34.0972, -118.1987 33.9872, -118.2887 33.9872, -118.2887 34.0972))",
store_location = "-118.2437,34.0522",
brand = "Bicyk",
model = "Hillcraft",
price = 1200,
description = "Kids want to ride with as little weight as possible. Especially on an incline! They may be at the age when a 27.5\" wheel bike is just too clumsy coming off a 24\" bike. The Hillcraft 26 is just the solution they need!",
condition = "used"
},
new
{
pickup_zone = "POLYGON((-87.6848 41.9331, -87.5748 41.9331, -87.5748 41.8231, -87.6848 41.8231, -87.6848 41.9331))",
store_location = "-87.6298,41.8781",
brand = "Nord",
model = "Chook air 5",
price = 815,
description = "The Chook Air 5 gives kids aged six years and older a durable and uberlight mountain bike for their first experience on tracks and easy cruising through forests and fields. The lower top tube makes it easy to mount and dismount in any situation, giving your kids greater safety on the trails.",
condition = "used"
},
new
{
pickup_zone = "POLYGON((-80.2433 25.8067, -80.1333 25.8067, -80.1333 25.6967, -80.2433 25.6967, -80.2433 25.8067))",
store_location = "-80.1918,25.7617",
brand = "Eva",
model = "Eva 291",
price = 3400,
description = "The sister company to Nord, Eva launched in 2005 as the first and only women-dedicated bicycle brand. Designed by women for women, allEva bikes are optimized for the feminine physique using analytics from a body metrics database. If you like 29ers, try the Eva 291. It’s a brand new bike for 2022.. This full-suspension, cross-country ride has been designed for velocity. The 291 has 100mm of front and rear travel, a superlight aluminum frame and fast-rolling 29-inch wheels. Yippee!",
condition = "used"
},
new
{
pickup_zone = "POLYGON((-122.4644 37.8199, -122.3544 37.8199, -122.3544 37.7099, -122.4644 37.7099, -122.4644 37.8199))",
store_location = "-122.4194,37.7749",
brand = "Noka Bikes",
model = "Kahuna",
price = 3200,
description = "Whether you want to try your hand at XC racing or are looking for a lively trail bike that's just as inspiring on the climbs as it is over rougher ground, the Wilder is one heck of a bike built specifically for short women. Both the frames and components have been tweaked to include a women’s saddle, different bars and unique colourway.",
condition = "used"
},
new
{
pickup_zone = "POLYGON((-0.1778 51.5524, 0.0822 51.5524, 0.0822 51.4024, -0.1778 51.4024, -0.1778 51.5524))",
store_location = "-0.1278,51.5074",
brand = "Breakout",
model = "XBN 2.1 Alloy",
price = 810,
description = "The XBN 2.1 Alloy is our entry-level road bike – but that’s not to say that it’s a basic machine. With an internal weld aluminium frame, a full carbon fork, and the slick-shifting Claris gears from Shimano’s, this is a bike which doesn’t break the bank and delivers craved performance.",
condition = "new"
},
new
{
pickup_zone = "POLYGON((2.1767 48.9016, 2.5267 48.9016, 2.5267 48.5516, 2.1767 48.5516, 2.1767 48.9016))",
store_location = "2.3522,48.8566",
brand = "ScramBikes",
model = "WattBike",
price = 2300,
description = "The WattBike is the best e-bike for people who still feel young at heart. It has a Bafang 1000W mid-drive system and a 48V 17.5AH Samsung Lithium-Ion battery, allowing you to ride for more than 60 miles on one charge. It’s great for tackling hilly terrain or if you just fancy a more leisurely ride. With three working modes, you can choose between E-bike, assisted bicycle, and normal bike modes.",
condition = "new"
},
new
{
pickup_zone = "POLYGON((13.3260 52.5700, 13.6550 52.5700, 13.6550 52.2700, 13.3260 52.2700, 13.3260 52.5700))",
store_location = "13.4050,52.5200",
brand = "Peaknetic",
model = "Secto",
price = 430,
description = "If you struggle with stiff fingers or a kinked neck or back after a few minutes on the road, this lightweight, aluminum bike alleviates those issues and allows you to enjoy the ride. From the ergonomic grips to the lumbar-supporting seat position, the Roll Low-Entry offers incredible comfort. The rear-inclined seat tube facilitates stability by allowing you to put a foot on the ground to balance at a stop, and the low step-over frame makes it accessible for all ability and mobility levels. The saddle is very soft, with a wide back to support your hip joints and a cutout in the center to redistribute that pressure. Rim brakes deliver satisfactory braking control, and the wide tires provide a smooth, stable ride on paved roads and gravel. Rack and fender mounts facilitate setting up the Roll Low-Entry as your preferred commuter, and the BMX-like handlebar offers space for mounting a flashlight, bell, or phone holder.",
condition = "new"
},
new
{
pickup_zone = "POLYGON((1.9450 41.4301, 2.4018 41.4301, 2.4018 41.1987, 1.9450 41.1987, 1.9450 41.4301))",
store_location = "2.1734, 41.3851",
brand = "nHill",
model = "Summit",
price = 1200,
description = "This budget mountain bike from nHill performs well both on bike paths and on the trail. The fork with 100mm of travel absorbs rough terrain. Fat Kenda Booster tires give you grip in corners and on wet trails. The Shimano Tourney drivetrain offered enough gears for finding a comfortable pace to ride uphill, and the Tektro hydraulic disc brakes break smoothly. Whether you want an affordable bike that you can take to work, but also take trail in mountains on the weekends or you’re just after a stable, comfortable ride for the bike path, the Summit gives a good value for money.",
condition = "new"
},
new
{
pickup_zone = "POLYGON((12.4464 42.1028, 12.5464 42.1028, 12.5464 41.7028, 12.4464 41.7028, 12.4464 42.1028))",
store_location = "12.4964,41.9028",
model = "ThrillCycle",
brand = "BikeShind",
price = 815,
description = "An artsy, retro-inspired bicycle that’s as functional as it is pretty: The ThrillCycle steel frame offers a smooth ride. A 9-speed drivetrain has enough gears for coasting in the city, but we wouldn’t suggest taking it to the mountains. Fenders protect you from mud, and a rear basket lets you transport groceries, flowers and books. The ThrillCycle comes with a limited lifetime warranty, so this little guy will last you long past graduation.",
condition = "refurbished"
}
};
for (var i = 0; i < bicycles.Length; i++)
{
db.JSON().Set($"bicycle:{i}", "$", bicycles[i]);
}
AggregationResult res1 = db.FT().Aggregate(
"idx:bicycle",
new AggregationRequest("@condition:{new}")
.Load(new FieldName("__key"), new FieldName("price"))
.Apply("@price - (@price * 0.1)", "discounted")
);
Console.WriteLine(res1.TotalResults); // >>> 5
for (int i = 0; i < res1.TotalResults; i++)
{
Row res1Row = res1.GetRow(i);
Console.WriteLine(
$"Key: {res1Row["__key"]}, Price: {res1Row["price"]}, Discounted: {res1Row["discounted"]}"
);
}
// >>> 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
// Tests for 'agg1' step.
AggregationResult res2 = db.FT().Aggregate(
"idx:bicycle",
new AggregationRequest("*")
.Load(new FieldName("price"))
.Apply("@price<1000", "price_category")
.GroupBy(
"@condition",
Reducers.Sum("@price_category").As("num_affordable")
)
);
Console.WriteLine(res2.TotalResults); // >>> 3
for (int i = 0; i < res2.TotalResults; i++)
{
Row res2Row = res2.GetRow(i);
Console.WriteLine(
$"Condition: {res2Row["condition"]}, Num affordable: {res2Row["num_affordable"]}"
);
}
// >>> Condition: refurbished, Num affordable: 1
// >>> Condition: used, Num affordable: 1
// >>> Condition: new, Num affordable: 3
// Tests for 'agg2' step.
AggregationResult res3 = db.FT().Aggregate(
"idx:bicycle",
new AggregationRequest("*")
.Apply("'bicycle'", "type")
.GroupBy("@type", Reducers.Count().As("num_total"))
);
Console.WriteLine(res3.TotalResults); // >>> 1
Row res3Row = res3.GetRow(0);
Console.WriteLine($"Type: {res3Row["type"]}, Num total: {res3Row["num_total"]}");
// >>> Type: bicycle, Num total: 10
// Tests for 'agg3' step.
// Not supported in NRedisStack.
// Tests for 'agg4' step.
}
}
此查询的输出是：
1) "3"
2) 1) "condition"
1) "refurbished"
2) "bicycles"
3) 1) "bicycle:9"
3) 1) "condition"
1) "used"
2) "bicycles"
3) 1) "bicycle:1"
1) "bicycle:2"
2) "bicycle:3"
3) "bicycle:4"
4) 1) "condition"
1) "new"
2) "bicycles"
3) 1) "bicycle:0"
1) "bicycle:5"
2) "bicycle:6"
3) "bicycle:8"
4) "bicycle:7"