索引Cosmos DB不会提高性能 [英] Indexing Cosmos DB does not improve performance
问题描述
大家好,
我有一个庞大的Cosmos DB Collection.它有大约500K记录,我的RU范围是1000RU/s.我已经为我的自定义列创建了列索引.以下是Index JSON模式.
{
"indexingMode":"consistent",
自动":true,
"includedPaths":[
{
路径":"/Column1/?",
索引":[
{
种类":"Range",
"dataType":"String",
精度":-1
}
]
},
{
路径":"/Column2/?",
索引":[
{
种类":"Range",
"dataType":"String",
精度":-1
}
]
}
],
"excludedPaths":[
{
路径":"/Column4/*"
}
]
}
下面是我的收藏结构.
{
"Column1":"Data1",
"Column2":"Data2",
"Column3":"Data3",
"Column4":"Data4"
}
当我触发以下选择查询时("SELECT * FROM r where INDEX_OF(r.Column2,'Data2')>-1),它将返回正确的值.但是它批量执行,而不是从Indexes获取值.例如,查询应仅返回
一条记录.但是它会返回空白,并带有连续令牌.我希望索引应该从现有索引中返回记录.我错过了什么吗?
Hi All,
I have a huge Cosmos DB Collection. It has about 500K records and my RU range is 1000RU/s. I have created a column index for my custom columns. Below is the Index JSON schema.
{
"indexingMode": "consistent",
"automatic": true,
"includedPaths": [
{
"path": "/Column1/?",
"indexes": [
{
"kind": "Range",
"dataType": "String",
"precision": -1
}
]
},
{
"path": "/Column2/?",
"indexes": [
{
"kind": "Range",
"dataType": "String",
"precision": -1
}
]
}
],
"excludedPaths": [
{
"path":"/Column4/*"
}
]
}
And below is my collection structure.
{
"Column1": "Data1",
"Column2": "Data2",
"Column3": "Data3",
"Column4": "Data4"
}
When i trigger the following select query ("SELECT * FROM r where INDEX_OF(r.Column2,'Data2')>-1"), it returns the correct values. But it executes it in a batch instead of getting the values from Indexes. For example, the query should return only
one record. But it returns blank with continuation Token. I hope the indexing should returns the record from the existing index. Is there anything i have missed?
推荐答案
您好,Naveen,
Hi Naveen,
您是否正在使用SQL API?我将在此处提供一些涵盖Cosmos DB Indexing主题的链接:
Are you using the SQL API? I am going to provide some links here that cover the topic of Cosmos DB Indexing:
关于 性能调整,请查看
There is a section on Performance Tuning and please take a look at the Next Steps section for code samples.
请让我们知道您还有其他问题.问候,迈克
Please let us know what additional questions you have. Regards, Mike
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