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Function: Basic N1QL Prepared Select Statment

    March 16, 2025
    + 12

    Goal: Iterate through a basic N1QL SELECT where Eventing interacts with the Data service via a prepared N1QL statement.

    • This function basicN1qlPreparedSelectStmt demonstrates how use a prepared N1QL SELECT statement with a passed parameter.

    • Typically, this is done for greater performance, the cluster will typically not prepare a statement if it is already prepared.

    • We have just one positional parameter $1 for "doc.iata", if we had a second parameter we would use the placeholder $2, and so on. Note positional parameters are passed in an array.

    • A commented out example of using named parameters is also shown. Note named parameters are passed and an object.

    • Requires the "travel-sample" sample dataset to be loaded.

    • Requires Eventing Storage (or metadata collection) and a "source" collection of travel-sample.inventory.airline.

    • Deploy the Function with a Feed Boundary "From now" (Note you will log 187 lines if you use "Everything").

    • Assuming you deployed "From now" mutate any document in "travel-sample" to generate a log line.

    • For additional details refer to N1QL Statements and The N1QL() function call

    • [Optional] if Feed Boundary is "Everything" you can use SQL++ (N1QL) to add an index for performance:

      • CREATE INDEX adv_airline_type ON default:`travel-sample`.inventory.route(airline) WHERE (type = 'route')

    javascript
    // To run configure the settings for this Function, basicN1qlPreparedSelectStmt, as follows: // // Version 7.1+ // "Function Scope" // *.* (or try travel-sample.inventory if non-privileged) // Version 7.0+ // "Listen to Location" // travel-sample.inventory.airline // "Eventing Storage" // rr100.eventing.metadata // Binding(s) - none // // Version 6.X // "Source Bucket" // travel-sample // "MetaData Bucket" // metadata // Binding(s) - none function OnUpdate(doc, meta) { // ignore information we don't care about if (doc.type !== 'airline') return; var route_cnt = 0; // we want to get the total routes per iata // positional parameter(s) var results = N1QL("SELECT COUNT(*) AS cnt " + "FROM `travel-sample`.`inventory`.`route` " + "WHERE type = \"route\" AND airline = $1", [doc.iata], { isPrepared: true } ); /* // named parameter(s) var max_dist = 120; var results = N1QL("SELECT COUNT(*) AS cnt " + "FROM `travel-sample`.`inventory`.`route` WHERE type = $mytype " + "AND airline = $myairline AND distance <= $mydistance", { '$mytype': 'route', '$mydistance': max_dist, '$myairline': doc.iata }, { 'consistency': 'none', isPrepared: true } ); */ for (var item of results) { // Stream results using 'for' iterator. route_cnt = item.cnt; } results.close(); // End the query and free resources held // Just log the KEY, AIRLINE and ROUTE_CNT it to the Application log log("key: " + meta.id + ", airline: "+doc.iata+", route_cnt: "+route_cnt); }