Receiving Events and Persisting in MongoDB Store¶
Purpose:¶
This application demonstrates how to perform CRUD operations using Siddhi queries in MongoDB stores. The sample depicts a scenario in a sweet production factory. The sweet production details, such as name of the raw material and amount used for production, can be stored using insertSweetProductionStream
. The following streams can be used to insert, update, search, delete and update or insert the existing data in the store.
* Search - searchSweetProductionStream
* insert - insertSweetProductionStream``
* delete -
deleteSweetProductionStream* update -
updateSweetProductionStream* update or insert -
updateOrInsertSweetProductionStream* contains -
containsSweetProductionStream` (verifies whether all the attributes that enter in the stream exists in the store).
Prerequisites:¶
- Ensure that MongoDB is installed on your machine. (https://docs.mongodb.com/manual/administration/install-community/).
- If auth is not enabled in the MongoDB instance, skip steps 3 and 4.
- Create a data store named
production
in MongoD with relevant access privileges. - Create a collection named
SweetProductionTable
and insert values intoSweetProductionTable
. - Save this sample.
Executing the Sample:¶
- Start the Siddhi application by clicking on 'Run'.
- If the Siddhi application starts successfully, the following message is shown on the console:
store-mongodb.siddhi - Started Successfully!
Note:¶
If you want to edit this application, stop the application, make your edits and save, and then start the application again.
Testing the Sample:¶
- Simulate single events as follows:
- Click on Event Simulator (double arrows on left tab) and then 'Single Simulation'.
- For the Siddhi App Name, select 'store-mongodb'.
- For the Stream Name, select 'searchSweetProductionStream'.
- Enter attribute values and click Send.
- Send an event where the name matches a name value in the data you just inserted to the
SweetProductionTable
. This will satisfy theon
condition of the join query.
Notes:¶
- You can send events to the other corresponding streams to add, delete, update, insert, and search events.
- The Primary Key constraint in
SweetProductionTable
is disabled, because the name cannot be used as aPrimaryKey
in aProductionTable
. - You can use Siddhi functions to create a unique ID for the received events, which you can then use to apply the Primary Key constraint on the data store records. (http://wso2.github.io/siddhi/documentation/siddhi-4.0/#function)
Viewing the Results:¶
See the output for raw materials on the console. You can use searchSweetProductionStream
to check for inserted, deleted, and updated events.
@App:name("store-mongodb.siddhi")
@App:description('Receive events via simulator and persist the received data in the store.')
define stream insertSweetProductionStream (name string, amount double);
define stream deleteSweetProductionStream (name string);
define stream searchSweetProductionStream (name string);
define stream updateSweetProductionStream (name string, amount double);
define stream updateOrInsertSweetProductionStream (name string, amount double);
define stream containsSweetProductionStream (name string, amount double);
@sink(type='log')
define stream logStream(name string, amount double);
@Store(type="mongodb",mongodb.uri='mongodb://localhost/production')
--@PrimaryKey("name")
@IndexBy("amount {background:true}")
define table SweetProductionTable (name string, amount double);
/* Inserting event into the mongo store */
@info(name='query1')
from insertSweetProductionStream
insert into SweetProductionTable;
/* Deleting event from mongo store */
@info(name = 'query2')
from deleteSweetProductionStream
delete SweetProductionTable
on SweetProductionTable.name == name ;
/* Updating event from mongo store */
@info(name = 'query3')
from updateSweetProductionStream
update SweetProductionTable
on SweetProductionTable.name == name ;
/* Updating or inserting event from mongo store */
@info(name = 'query4')
from updateOrInsertSweetProductionStream
update or insert into SweetProductionTable
on SweetProductionTable.name == name;
/* Siddhi In in mongo store */
@info(name = 'query5')
from containsSweetProductionStream
[(SweetProductionTable.name == name and SweetProductionTable.amount == amount) in SweetProductionTable]
insert into logStream;
--Perform a join on raw material name so that the data in the store can be viewed
@info(name='query6')
from searchSweetProductionStream as s join SweetProductionTable as sp
on s.name == sp.name
select sp.name, sp.amount
insert into logStream;
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