The environment

Mongo 4.2.0
Spring – data – directing 3.0.0
jdk1.8

Add and delete

insert …

insertMany …

Common SQL Queries

Return only part of the field :patinet:1

db.getCollection('shouyeshoushu').find({"$or" : [ { "shouyeshoushu.operation_name" : { "$regex" : "^. * the gastrectomy. * $"}}, {" shouyeshoushu. Operation_name" : {" $regex ":" ^. * most of gastric resection. * $"}}, {" shouyeshoushu. Operation_name ": {" $regex ":" ^. * laparoscopic peritoneal biopsy. * $"}}, {" shouyeshoushu. Operation_name ": {" $regex" : "^. * proximal gastric resection. * $"}}, {" shouyeshoushu. Operation_name" : {" $regex ": "^. * all laparoscopic gastric resection. * $"}}, {" shouyeshoushu. Operation_name" : {" $regex ": "^. * endoscopic gastric submucosal decollement. * $"}}, {" shouyeshoushu. Operation_name" : {" $regex ": "^. * endoscopic gastric submucosal decollement. * $"}}, {" shouyeshoushu. Operation_name" : {" $regex ":" ^. * endoscopic gastric submucosal decollement. * $"}}}, {patient_id: 1,visit_id: 1});Copy the code

Only two fields are returned for all data

db.getCollection('zsyyIBD').find({}, {patient_id: 1,visit_id: 1})
Copy the code

Get the minimum value and name it minScore

db.getCollection('jianchabaogao').aggregate(
[{$project: {minScore: {$min: "$jianchabaogao.exam_report.exam_time"}}}]
)
Copy the code

Nested logical operator queries

db.getCollection('zsyyIBD').find( { "$and": [ { "$or": [ { "visit_times": { "$nin": [ "0" ] }, "info_sex": "Female"}}, {$" or ": [{" visit_times" : {" $nin: "(" 0")}, "form_updator" : "qiuyun}]}]})Copy the code

Regular expression matching

db.getCollection('jianchabaogao').aggregate([{ "$or": [ { "jianchabaogao.exam_report.standard_name": { "$regex": "^. *. * $"}}, {" jianchabaogao. Exam_report. Standard_name" : {" $regex ":" $" ^. * scan. *}}]}])Copy the code

Regular expressions in Java code are the same as regular expressions in scripts

switch (fieldRelation) {
    case "Contains":
        return Pattern.compile("^. *"Scan + +". * $", Pattern.CASE_INSENSITIVE);
    case "Not included.":
        return Pattern.compile("^ ((? !" + fieldValue + "). * $", Pattern.CASE_INSENSITIVE);
    case "The beginning is":
        return Pattern.compile("^" + fieldValue + ". * $", Pattern.CASE_INSENSITIVE);
    case "Not at the beginning.":
        return Pattern.compile("^ (? !" + fieldValue + "). *", Pattern.CASE_INSENSITIVE);
    case "Equal":
        return Pattern.compile(fieldValue, Pattern.CASE_INSENSITIVE);
    case "Not equal to.":
        return Pattern.compile("^ (? !" + fieldValue + "). * $", Pattern.CASE_INSENSITIVE);
    case "The end is":
        return Pattern.compile("^. *" + fieldValue + "$", Pattern.CASE_INSENSITIVE);
    case "The end is not.":
        return Pattern.compile("^. * (? !" + fieldValue + "$", Pattern.CASE_INSENSITIVE);
}
Copy the code

 switch (exp) {
        case "Equal":
            Criteria criteriaInnner = criteriaVisitTimes.and(enPath).is(values);
            criteriaInner.add(criteriaInnner);
            break;
        case "Not equal to.":
            Criteria criteriaInnnerNot = criteriaVisitTimes.and(enPath).nin(values);
            criteriaInner.add(criteriaInnnerNot);
            break;
        case "More than":
            Criteria criteriaInnnerGt = criteriaVisitTimes.and(enPath).gt(values);
            criteriaInner.add(criteriaInnnerGt);
            break;
        case "Less than":
            Criteria criteriaInnnerLt = criteriaVisitTimes.and(enPath).lt(values);
            criteriaInner.add(criteriaInnnerLt);
            break;
        case "Greater than or equal to":
            Criteria criteriaInnnerGte = criteriaVisitTimes.and(enPath).gte(values);
            criteriaInner.add(criteriaInnnerGte);
            break;
        case "Less than or equal to":
            Criteria criteriaInnnerLte = criteriaVisitTimes.and(enPath).lte(values);
            criteriaInner.add(criteriaInnnerLte);
            break;
        case "Contains":
            Pattern pattern = Pattern.compile("^. *" + values + ". * $", Pattern.CASE_INSENSITIVE);
            criteriaVisitTimes.and(enPath).regex(pattern);
            criteriaInner.add(criteriaVisitTimes);
            break;
        case "Not included.":
            Pattern patternNot = Pattern.compile("^ ((? !" + values + "). * $", Pattern.CASE_INSENSITIVE);
            criteriaVisitTimes.and(enPath).regex(patternNot);
            criteriaInner.add(criteriaVisitTimes);
            break; }}Copy the code

Post-polymerization cut

db.getCollection('binganshouye').aggregate([ { $group : { _id : { $substr: [ "$_id", 6, 12] }, total : {$sum : 1}}}]);Copy the code

Deletes the value of the field

db.getCollection('bysyweicancer').update(

    {
    },
    
    {
        $unset:{'lab':''}
    },
  
    
    
    {
        "multi" : true
        
    }
);
Copy the code

Pipeline aggregation, relative to time after the aggregation

db.getCollection('jianyanbaogao').aggregate( [ { "$unwind": "$jianyanbaogao.lab_report" }, { "$match": { "jianyanbaogao.lab_report.apply_time": { "$gte": "2014-11-22 11:01:25", "$lte": "$match": {"$match": {"$match": {"$match": {"$match": {"$match": {"$match": {"$match": {"$match": {"$match": {"$match": {"$match": { "_id": 1, "patient_id": 1, "data": "$jianyanbaogao.lab_report.lab_result_value", "relationData": "$jianyanbaogao.lab_report.apply_time", "lab_sub_item_name":"$jianyanbaogao.lab_report.lab_sub_item_name" } } ] )Copy the code

domain

db.getCollection('jianyanbaogao').distinct('age')
Copy the code

Linux environment commonly used directives

The shell command line is displayed

mongo IP:27017/db_specialized_disease_cohort -u jhadmin -p jh1234
Copy the code

mongo IP:27017/admin -u bysy -p bysyadmin
Copy the code

Rename the collection name:

db.bysyweicancer_malize.renameCollection("bysyweicancer");
Copy the code

Import the Mongo file

Mongoimport -h 127.0.0.1:27017 -ubysy -pbysyadmin --authenticationDatabase admin -d zbk2021-2 /data/1/sddap3/bysyweicancer.json

Example Export the Mongo file

Mongoexport -h 127.0.0.1:27017 -ubysy -pbysyadmin --authenticationDatabase admin -d zbk2021-2 -c bysyweicancer -o /data/1/sddap3/bysyweicancer.json

Insert the query results as new data into the new table

var result = db.getCollection('shouyeshoushu').find({"$or": [{"shouyeshoushu.operation_name" : { "$regex" :  "^.* Gastrectomy.*$"}},
{ "shouyeshoushu.operation_name" : { "$regex" :  "^.* Gastrectomy.*$"}},
{ "shouyeshoushu.operation_name" : { "$regex" :  "^.* Laparoscopic peritoneal biopsy.*$"}},
{ "shouyeshoushu.operation_name" : { "$regex" :  "^.* Proximal gastrectomy.*$"}},
{ "shouyeshoushu.operation_name" : { "$regex" :  "^.* Laparoscopic total gastrectomy.*$"}},
{ "shouyeshoushu.operation_name" : { "$regex" :  "^.* Endoscopic submucosal dissection of the stomach.*$"}},
{ "shouyeshoushu.operation_name" : { "$regex" :  "^.* Endoscopic submucosal dissection of the stomach.*$"}},
{ "shouyeshoushu.operation_name" : { "$regex" :  "^.* Endoscopic submucosal dissection of the stomach.*$"}}
]
}, {patient_id: 1});
Copy the code

while(result.hasNext()) db.shouyeshoushu_end.insert(result.next())
Copy the code

Other imports and exports:

mongorestore -h 127.0. 01.:20000 -ubysy -pbysyadmin --authenticationDatabase admin -d zbknew /home/keyan/bysyweicancer.bson

mongodump -u bysy -p bysyadmin --host 127.0. 01. --port 27017 --authenticationDatabase admin -d zbk2021-2 -o /data/1

mongorestore -h 127.0. 01.:20000 -d zbknew /home/keyan/bysyweicancer.bson
Copy the code

Q&A

1. Online mongo large page number error, can not be normal paging

Caused by: com.mongodb.MongoQueryException: Query failed with error code 96 and error message 'Executor error during find command :: caused by :: Sort operation used more than the maximum 33554432 bytes of RAM. Add an index, or specify a smaller limit.' on server 168.168.251.48:20000

The reason:

Mongo is to fetch all the data, in memory paging sort, the default setting of 32M, it is easy to lead to insufficient memory

Solution:

Set the mongo library sort maximum memory to 320M:

db.adminCommand({setParameter:1,internalQueryExecMaxBlockingSortBytes:335544320});

To index high-frequency, core fields (especially sorted fields) :

db.zsyynxgbzbk.createIndex({"baseinfolast_lastvisittime":1});

2. Deep pit: Code written in the sort field in the mongo table does not have,mongo does not report error

query.with(Sort.by(Sort.Order.desc("lastvisittime"))); // The library field is baseinfolast_lastvisitTime

mo4tech.com (Moment For Technology) is a global community with thousands techies from across the global hang out!Passionate technologists, be it gadget freaks, tech enthusiasts, coders, technopreneurs, or CIOs, you would find them all here.

MongoDB Practical details

The environment

Add and delete

insert …

insertMany …

Common SQL Queries

Return only part of the field :patinet:1

Only two fields are returned for all data

Get the minimum value and name it minScore

Nested logical operator queries

Regular expression matching

Regular expressions in Java code are the same as regular expressions in scripts

Post-polymerization cut

Deletes the value of the field

Pipeline aggregation, relative to time after the aggregation

domain

Linux environment commonly used directives

The shell command line is displayed

Rename the collection name:

Import the Mongo file

Example Export the Mongo file

Insert the query results as new data into the new table

Other imports and exports:

Q&A

1. Online mongo large page number error, can not be normal paging

The reason:

Solution:

Set the mongo library sort maximum memory to 320M:

To index high-frequency, core fields (especially sorted fields) :

2. Deep pit: Code written in the sort field in the mongo table does not have,mongo does not report error

2. Mongo JSON file, copy to the local Win10 environment, and then use tools to import problems

MongoDB Practical details

The environment

Add and delete

insert …

insertMany …

Common SQL Queries

Return only part of the field :patinet:1

Only two fields are returned for all data

Get the minimum value and name it minScore

Nested logical operator queries

Regular expression matching

Regular expressions in Java code are the same as regular expressions in scripts

Post-polymerization cut

Deletes the value of the field

Pipeline aggregation, relative to time after the aggregation

domain

Linux environment commonly used directives

The shell command line is displayed

Rename the collection name:

Import the Mongo file

Example Export the Mongo file

Insert the query results as new data into the new table

Other imports and exports:

Q&A

1. Online mongo large page number error, can not be normal paging

The reason:

Solution:

Set the mongo library sort maximum memory to 320M:

To index high-frequency, core fields (especially sorted fields) :

2. Deep pit: Code written in the sort field in the mongo table does not have,mongo does not report error

2. Mongo JSON file, copy to the local Win10 environment, and then use tools to import problems

Related Posts

Python3 common built-in functions

BeanWrapper

Finally figured out BIO, NIO, AIO