Chilkat Online Tools

GetQueryResults Node.js Example

Athena

var os = require('os');
if (os.platform() == 'win32') {  
    if (os.arch() == 'ia32') {
        var chilkat = require('@chilkat/ck-node17-win-ia32');
    } else {
        var chilkat = require('@chilkat/ck-node17-win64'); 
    }
} else if (os.platform() == 'linux') {
    if (os.arch() == 'arm') {
        var chilkat = require('@chilkat/ck-node17-arm');
    } else if (os.arch() == 'x86') {
        var chilkat = require('@chilkat/ck-node17-linux32');
    } else {
        var chilkat = require('@chilkat/ck-node17-linux64');
    }
} else if (os.platform() == 'darwin') {
    var chilkat = require('@chilkat/ck-node17-macosx');
}

function chilkatExample() {

    // This example requires the Chilkat API to have been previously unlocked.
    // See Global Unlock Sample for sample code.

    var rest = new chilkat.Rest();
    var success;

    var authAws = new chilkat.AuthAws();
    authAws.AccessKey = "AWS_ACCESS_KEY";
    authAws.SecretKey = "AWS_SECRET_KEY";

    // Don't forget to change the region to your particular region. (Also make the same change in the call to Connect below.)
    authAws.Region = "us-west-2";
    authAws.ServiceName = "athena";
    // SetAuthAws causes Chilkat to automatically add the following headers: Authorization, X-Amz-Date
    rest.SetAuthAws(authAws);

    // URL: https://athena.us-west-2.amazonaws.com/
    // Use the same region as specified above.
    success = rest.Connect("athena.us-west-2.amazonaws.com",443,true,true);
    if (success !== true) {
        console.log("ConnectFailReason: " + rest.ConnectFailReason);
        console.log(rest.LastErrorText);
        return;
    }

    // The following code creates the JSON request body.
    // The JSON created by this code is shown below.

    // Use this online tool to generate code from sample JSON:
    // Generate Code to Create JSON

    var json = new chilkat.JsonObject();
    json.UpdateInt("MaxResults",123);
    json.UpdateString("NextToken","string");
    json.UpdateString("QueryExecutionId","string");

    // The JSON request body created by the above code:

    // {
    //   "MaxResults": number,
    //   "NextToken": "string",
    //   "QueryExecutionId": "string"
    // }

    rest.AddHeader("Content-Type","application/x-amz-json-1.1");
    rest.AddHeader("X-Amz-Target","AmazonAthena.GetQueryResults");

    var sbRequestBody = new chilkat.StringBuilder();
    json.EmitSb(sbRequestBody);
    var sbResponseBody = new chilkat.StringBuilder();
    success = rest.FullRequestSb("POST","/",sbRequestBody,sbResponseBody);
    if (success !== true) {
        console.log(rest.LastErrorText);
        return;
    }

    var respStatusCode = rest.ResponseStatusCode;
    console.log("response status code = " + respStatusCode);
    if (respStatusCode !== 200) {
        console.log("Response Header:");
        console.log(rest.ResponseHeader);
        console.log("Response Body:");
        console.log(sbResponseBody.GetAsString());
        return;
    }

    var jResp = new chilkat.JsonObject();
    jResp.LoadSb(sbResponseBody);

    // The following code parses the JSON response.
    // A sample JSON response is shown below the sample code.

    // Use this online tool to generate parsing code from sample JSON:
    // Generate Parsing Code from JSON

    var CaseSensitive;
    var CatalogName;
    var Label;
    var Name;
    var Nullable;
    var Precision;
    var Scale;
    var SchemaName;
    var TableName;
    var v_Type;
    var j;
    var count_j;
    var VarCharValue;

    var NextToken = jResp.StringOf("NextToken");
    var UpdateCount = jResp.IntOf("UpdateCount");
    var i = 0;
    var count_i = jResp.SizeOfArray("ResultSet.ResultSetMetadata.ColumnInfo");
    while (i < count_i) {
        jResp.I = i;
        CaseSensitive = jResp.IntOf("ResultSet.ResultSetMetadata.ColumnInfo[i].CaseSensitive");
        CatalogName = jResp.StringOf("ResultSet.ResultSetMetadata.ColumnInfo[i].CatalogName");
        Label = jResp.StringOf("ResultSet.ResultSetMetadata.ColumnInfo[i].Label");
        Name = jResp.StringOf("ResultSet.ResultSetMetadata.ColumnInfo[i].Name");
        Nullable = jResp.StringOf("ResultSet.ResultSetMetadata.ColumnInfo[i].Nullable");
        Precision = jResp.IntOf("ResultSet.ResultSetMetadata.ColumnInfo[i].Precision");
        Scale = jResp.IntOf("ResultSet.ResultSetMetadata.ColumnInfo[i].Scale");
        SchemaName = jResp.StringOf("ResultSet.ResultSetMetadata.ColumnInfo[i].SchemaName");
        TableName = jResp.StringOf("ResultSet.ResultSetMetadata.ColumnInfo[i].TableName");
        v_Type = jResp.StringOf("ResultSet.ResultSetMetadata.ColumnInfo[i].Type");
        i = i+1;
    }

    i = 0;
    count_i = jResp.SizeOfArray("ResultSet.Rows");
    while (i < count_i) {
        jResp.I = i;
        j = 0;
        count_j = jResp.SizeOfArray("ResultSet.Rows[i].Data");
        while (j < count_j) {
            jResp.J = j;
            VarCharValue = jResp.StringOf("ResultSet.Rows[i].Data[j].VarCharValue");
            j = j+1;
        }

        i = i+1;
    }

    // A sample JSON response body parsed by the above code:

    // {
    //   "NextToken": "string",
    //   "ResultSet": {
    //     "ResultSetMetadata": {
    //       "ColumnInfo": [
    //         {
    //           "CaseSensitive": boolean,
    //           "CatalogName": "string",
    //           "Label": "string",
    //           "Name": "string",
    //           "Nullable": "string",
    //           "Precision": number,
    //           "Scale": number,
    //           "SchemaName": "string",
    //           "TableName": "string",
    //           "Type": "string"
    //         }
    //       ]
    //     },
    //     "Rows": [
    //       {
    //         "Data": [
    //           {
    //             "VarCharValue": "string"
    //           }
    //         ]
    //       }
    //     ]
    //   },
    //   "UpdateCount": number
    // }

}

chilkatExample();