* Perform Associated Query through Array Field on MongoDB Collections
Get record from a table according to the associated array field in another table and generate a new collection made up of specific fields.
Here are two collections users and workouts. They are associated through array field users.WorkId and workouts._id.
users |
_id |
Name |
WorkId |
1000 |
xxx |
[2,4,6] |
|
1002 |
yyy |
[1,3,5] |
workouts |
_id |
Date |
Book |
1 |
1/1/2001 |
Othello |
|
2 |
2/2/2001 |
A Midsummer Night's Dream |
|
3 |
3/3/2001 |
The Old Man and the Sea |
|
4 |
4/4/2001 |
GULLIVER'S TRAVELS |
|
5 |
5/5/2001 |
Pickwick Papers |
|
6 |
6/6/2001 |
The Red and the Black |
|
7 |
7/7/2001 |
Running |
The expected query result:
Name |
_id |
Date |
Book |
xxx |
2 |
2/2/2001 |
A Midsummer Night's Dream |
xxx |
4 |
4/4/2001 |
GULLIVER’S TRAVELS |
xxx |
6 |
6/6/2001 |
The Red and the Black |
yyy |
1 |
1/1/2001 |
Othello |
yyy |
3 |
3/3/2001 |
The Old Man and the Sea |
yyy |
5 |
5/5/2001 |
Pickwick Papers |
The MongoDB way of doing this is to join the two collections using $lookup, use unwind to split users.workouts table into records and lift them to the level of NAME, and then display the desired fields. The process is really a hassle.
esProc SPL handles this by preceding the name to the workouts records whose id field values are included in users.WorkId. That’s much easier.
Download esProc installation package HERE.
Directions to implement the esProc algorithm:
1. Write SPL script workout.dfx in esProc:
A |
B |
|
1 |
=mongo_open("mongodb://127.0.0.1:27017/raqdb") |
/ Connect to MongoDB database |
2 |
=mongo_shell(A1,"users.find()").fetch() |
/ Get data from users collection |
3 |
=mongo_shell(A1,"workouts.find()").fetch() |
/ Get data from workouts collection |
4 |
=A2.conj(A3.select(A2.WorkId.pos(_id)).derive(A2.name:Name)) |
/ Get records of A3’s table sequence whose _id values are included in WorkId array of A2’s table sequence, add name field to them and return the joined table sequence |
5 |
>mongo_close(A1) |
/ Close database connection |
2. Execute the script and return the final result:
_id |
Date |
Book |
Name |
2 |
2/2/2001 |
A Midsummer Night's Dream |
xxx |
4 |
4/4/2001 |
GULLIVER’S TRAVELS |
xxx |
6 |
6/6/2001 |
The Red and the Black |
xxx |
1 |
1/1/2001 |
Othello |
yyy |
3 |
3/3/2001 |
The Old Man and the Sea |
yyy |
5 |
5/5/2001 |
Pickwick Papers |
yyy |
A4: A3.select() gets records of workouts whose _id values are included in users.WorkId and add the name field required in the result set to workouts.
esProc provides JDBC interface, so you can easily integrate the script into a Java program:
public static void doWorkout() {
Connection con = null;
java.sql.Statement st;
try{
Class.forName("com.esproc.jdbc.InternalDriver");
con = DriverManager.getConnection("jdbc:esproc:local://");
st=con.createStatement();
// Call script workout.dfx
ResultSet rst = st.executeQuery("call workout");
System.out.println(rst);
}catch(Exception e){
System.out.println(e);
}finally{
// Close connection
if (con!=null) {
try {
con.close();
}catch(Exception e) {
System.out.println(e);
}
}
}
}
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