Azure cosmosdb 从Cosmos SQL获取分组(不同的?)值数组
给定一个类似于以下内容的Cosmos文档集合,我想使用COSMOSSQL生成一个“类别”的分组(不同?!?)列表。在这方面的任何帮助都将不胜感激Azure cosmosdb 从Cosmos SQL获取分组(不同的?)值数组,azure-cosmosdb,azure-cosmosdb-sqlapi,Azure Cosmosdb,Azure Cosmosdb Sqlapi,给定一个类似于以下内容的Cosmos文档集合,我想使用COSMOSSQL生成一个“类别”的分组(不同?!?)列表。在这方面的任何帮助都将不胜感激 [ { "id": "f0136e76-8e66-6a5a-3790-b577001d6420", "itemId": "analyze-and-visualize-your-data-with-azure-cosmos-db-notebooks", "title": "Built-in Jupyter notebooks
[
{
"id": "f0136e76-8e66-6a5a-3790-b577001d6420",
"itemId": "analyze-and-visualize-your-data-with-azure-cosmos-db-notebooks",
"title": "Built-in Jupyter notebooks in Azure Cosmos DB are now available",
"categories": [
"Developer",
"Database",
"Data Science"
]
},
{
"id": "f0136e76-8e66-6a5a-3790-b577001d6420",
"itemId": "analyze-and-visualize-your-data-with-azure-cosmos-db-notebooks",
"title": "Built-in Jupyter notebooks in Azure Cosmos DB are now available",
"categories": [
"Developer",
"Database",
"Data Science"
]
},
{
"id": "d98c1dd4-008f-04b2-e980-0998ecf8427e",
"itemId": "improving-azure-virtual-machines-resiliency-with-project-tardigrade",
"title": "Improving Azure Virtual Machines resiliency with Project Tardigrade",
"categories": [
"Virtual Machines",
"Supportability",
"Monitoring"
]
}
]
Azure CosmosDB目前不支持。您也可以使用存储过程来实现您的需求
根据上面给出的示例文档,下面是一个示例存储过程
function groupBy() {
var collection = getContext().getCollection();
var collectionLink = collection.getSelfLink();
var isValid = collection.queryDocuments(
collectionLink,
'SELECT * FROM stackoverflow s',
{EnableCrossPartitionQuery: true},
function (err, feed, options) {
if (err) throw err;
if (!feed || !feed.length) {
var response = getContext().getResponse();
console.log(JSON.stringify(response));
response.setBody('no docs found');
}
else {
var response = getContext().getResponse();
var items = {};
for(var i=0;i<feed.length;i++){
var categories = feed[i].categories;
for(var j=0;j<categories.length;j++){
items[categories[j]] = categories[j]
}
var distinctArray = [];
for(var distinctObj in items){
distinctArray.push(items[distinctObj]);
}
}
response.setBody(distinctArray);
}
});
if (!isValid) throw new Error('Kindly check your query, which not accepted by the server.');
}
函数groupBy(){
var collection=getContext().getCollection();
var collectionLink=collection.getSelfLink();
var isValid=collection.queryDocuments(
收集链接,
“从堆栈溢出中选择*”,
{EnableCrossPartitionQuery:true},
功能(错误、馈送、选项){
如果(错误)抛出错误;
如果(!feed | |!feed.length){
var response=getContext().getResponse();
log(JSON.stringify(response));
响应。setBody(“未找到文件”);
}
否则{
var response=getContext().getResponse();
变量项={};
到目前为止,Azure CosmosDB不支持for(var i=0;i。您也可以使用存储过程来实现您的需求
根据上面给出的示例文档,下面是一个示例存储过程
function groupBy() {
var collection = getContext().getCollection();
var collectionLink = collection.getSelfLink();
var isValid = collection.queryDocuments(
collectionLink,
'SELECT * FROM stackoverflow s',
{EnableCrossPartitionQuery: true},
function (err, feed, options) {
if (err) throw err;
if (!feed || !feed.length) {
var response = getContext().getResponse();
console.log(JSON.stringify(response));
response.setBody('no docs found');
}
else {
var response = getContext().getResponse();
var items = {};
for(var i=0;i<feed.length;i++){
var categories = feed[i].categories;
for(var j=0;j<categories.length;j++){
items[categories[j]] = categories[j]
}
var distinctArray = [];
for(var distinctObj in items){
distinctArray.push(items[distinctObj]);
}
}
response.setBody(distinctArray);
}
});
if (!isValid) throw new Error('Kindly check your query, which not accepted by the server.');
}
函数groupBy(){
var collection=getContext().getCollection();
var collectionLink=collection.getSelfLink();
var isValid=collection.queryDocuments(
收集链接,
“从堆栈溢出中选择*”,
{EnableCrossPartitionQuery:true},
功能(错误、馈送、选项){
如果(错误)抛出错误;
如果(!feed | |!feed.length){
var response=getContext().getResponse();
log(JSON.stringify(response));
响应。setBody(“未找到文件”);
}
否则{
var response=getContext().getResponse();
变量项={};
对于(var i=0;我成功了,谢谢。不幸的是,它只对单个分区键值有效;我想在我所有的分区上运行查询,这在进一步的研究中似乎是不可能的。Cosmos确实很酷,但我认为我不能将它用于我的场景;它需要组来工作。在任何情况下,感谢您及时和及时地完成有帮助的回答。我一定会接受你的答案,即使这不是我所希望的。这很有效,所以谢谢。不幸的是,它只对单个分区键值有效;我想在我所有的分区上运行查询,这在进一步的研究中似乎是不可能的。Cosmos真的很酷,但我不认为我可以将其用于我的方案;需要小组合作。无论是哪种情况,谢谢你及时而有益的回复。我一定会接受你的回答,即使这不是我所希望的。