示例 - 索引和查询 JSON 文档
了解如何将 Redis 查询引擎与 JSON 结合使用
此示例说明如何为 JSON 数据创建搜索索引，并且 对索引运行查询。
确保您拥有 Redis 堆栈和go-redis安装。
首先导入依赖项：
连接到数据库：
示例中的连接选项在Protocol田。我们建议您在go-redis因为默认 RESP3 的一些响应结构当前是
incomplete，因此您必须在自己的代码中处理 “raw” 响应。
如果您确实想使用 RESP3，则应将UnstableResp3选项
您连接：
rdb := redis.NewClient(&redis.Options{
UnstableResp3: true,
// Other options...
})
You must also access command results using the RawResult() and RawVal() methods
rather than the usual Result() and Val():
res1, err := client.FTSearchWithArgs(
ctx, "txt", "foo bar", &redis.FTSearchOptions{},
).RawResult()
val1 := client.FTSearchWithArgs(
ctx, "txt", "foo bar", &redis.FTSearchOptions{},
).RawVal()
Create some test data to add to the database:
Use the code below to create a search index. The FTCreateOptions parameter enables
indexing only for JSON objects where the key has a user: prefix.
The
schema
for the index has three fields for the user's name, age, and city.
The FieldName field of the FieldSchema struct specifies a
JSON path
that identifies which data field to index. Use the As struct field
to provide an alias for the JSON path expression. You can use
the alias in queries as a short and intuitive way to refer to the
expression, instead of typing it in full:
Add the three sets of user data to the database as
JSON objects.
If you use keys with the user: prefix then Redis will index the
objects automatically as you add them:
You can now use the index to search the JSON objects. The
query
below searches for objects that have the text "Paul" in any field
and have an age value in the range 30 to 40:
Specify query options to return only the city field:
Use an
aggregation query
to count all users in each city.
See the Redis query engine docs
for a full description of all query features with examples.