JKQL Streaming & Query API Using REST

NOTE: jkool-client-api version 0.5.0 migrated to Java 11.

Latest Java 8 compliant jkool-client-api version is 0.4.x.

NOTE: jkool-client-api version 0.3.3 migrated from javax.ws.rs (Java EE) to jakarta.ws.rs (Jakarta EE) API.

Latest Java EE compliant jkool-client-api version is 0.3.2.x.

JKQL Streaming & Query API allows you to send events, metrics, transactions to and run queries against your data repository. You will need "access token" with streaming permission to store data and "access token" with query permission to run queries. Tokens are associated with your repository and user profile. The API uses HTTP(s) and WebSockets protocols and responses are JSON.

Other language bindings can be generated with the Swagger Code Generator using the Swagger yaml file found it the "swagger" folder.

Please be aware the Swagger yaml file is documenting every field that can be passed via Restful API. When using this Java Helper API, many fields will have default values.

Concepts and Terminology

You can find more info in jKool Streaming Guide. JKQL streaming supports the following data collection types:

Type	Description
Event	basic time series element containing time, message, severity and other fields associated with event
Activity	a group of events and other activities (e.g. transactions)
Snapshot	categorized collection of properties (name, value, type) at a "point in time"
Dataset	user defined set of data elements with user defined columns
Property	name, value pair. Properties can be associated with events, activities and snapshots

This Git repository contains a Swagger yaml file. Open this file in a Swagger Editor and you will have detailed documentation of each field that comprises the above-mentioned data.

How to build

To use this sample code please do one of the following:

Build this project on your own by using these Maven build configurations:
- To build the project, run Maven goals clean package
- To build the project and install to local repo, run Maven goals clean install
- To make distributable release assemblies use one of profiles: pack-bin or pack-all:
  - containing only binary (including test package) distribution: run mvn -P pack-bin
  - containing binary (including test package), source and javadoc distribution: run mvn -P pack-all
- To make Maven required source and javadoc packages, use profile pack-maven
- To make Maven central compliant release having source, javadoc and all signed packages, use maven-release profile
Release assemblies are built to /build directory.
Add the following into your Maven pom file:

    <dependency>
        <groupId>com.jkoolcloud.client.api</groupId>
        <artifactId>jkool-client-api</artifactId>
        <version>0.5.0</version>
    </dependency>

Streaming over HTTPS

Streaming allows developers to send time series data such as events, metrics, transactions, logs using JSON/HTTPS. You will need your access token with streaming permission. This token ensures that the streaming data goes to the repository associated with the access token.

    JKStream jkSend = new JKStream("yourtoken");

Create an event and populate the fields you wish to stream. For example:

    Event event = new Event("Casablanca");
    event.setAppl("WebOrders").setServer(InetAddress.getLocalHost().getHostName())
            .setNetAddr(InetAddress.getLocalHost().getHostAddress()).setDataCenter("DCNY")
            .setElapsedTimeUsec(TimeUnit.HOURS.toMicros(2)).setLocation("New York, NY")
            .setMsgText("Casablanca is playing.");

Please note that this example code depicts streaming in real-time. Therefore, the start date of the event will default to the current date/time and the end date will default to the start date plus the elapsed time. You can however control start/end dates. For example:

    event.setTime(System.currentTimeMillis()).setElapsedTimeUsec(TimeUnit.HOURS.toMicros(2));

Optionally add any user defined properties using Property class:

    Property customerName = new Property("Name", "John Smith");
    Property customerAge = new Property("Age", 26, ValueType.VALUE_TYPE_AGE_YEAR);
    Property customerTemp = new Property("Temp", 98.6, ValueType.VALUE_TYPE_TEMP_F);
    event.addProperty(customerName, customerAge, customerTemp);

Properties can be grouped and categorized using Snapshot class:

    // create a categorized snapshot (envelope)
    Snapshot customer = new Snapshot("CustomerData", "General");
    Property customerName = new Property("Name", "John Smith");
    Property customerAge = new Property("Age", 26, ValueType.VALUE_TYPE_AGE_YEAR);
    Property customerTemp = new Property("Temp", 98.6, ValueType.VALUE_TYPE_TEMP_F);
    customer.addProperty(customerName, customerAge, customerTemp);
    // add snapshot to event
    event.addSnapshot(customer);

Finally, invoke the post method on the JKStream object, passing it the event you wish to stream:

    JKStream jkSend = new JKStream("yourtoken");
    Event event = new Event("Casablanca");
    event.setAppl("WebOrders").setServer(InetAddress.getLocalHost().getHostName())
        .setNetAddr(InetAddress.getLocalHost().getHostAddress()).setDataCenter("DCNY")
        .setElapsedTimeUsec(TimeUnit.HOURS.toMicros(2)).setLocation("New York, NY")
        .setMsgText("Casablanca is playing.");

    // create custom properties
    Property customerName = new Property("Name", "John Smith");
    Property customerAge = new Property("Age", 26, ValueType.VALUE_TYPE_AGE_YEAR);
    Property customerTemp = new Property("Temp", 98.6, ValueType.VALUE_TYPE_TEMP_F);

    event.addProperty(customerName, customerAge, customerTemp);
    Response response = jkSend.post(event);
    response.close();

The JKStream formats the event into JSON and sends it to https://stream.meshiq.com.

Running JKQL (Synchronously)

In addition to streaming, data can also be retrieved from jKool via Rest. To do this, make use of the jKool Query Language (JKQL). Please see JKQL Reference Guide. Use the JKQuery to run JKQL synchronously. Use your access token along with the JKQL query. Below is an example:

    JKQuery jkQuery = new JKQuery("yourtoken");
    Response response = jkQuery.call("get number of events for today");
    Map<String, Object> jsonResponse = response.readEntity(Map.class);
    response.close();

All returned JKQL responses are JSON.

Running JKQL (Asynchronously)

Developers can also invoke JKQL queries asynchronously using callbacks. To do this, make use of the JKQueryAsync. Below is an example. This example makes use of two connection handlers: 1) for tracing connection events and 2) for retrying connection during failures.

    // setup WebSocket connection and connect
    JKQueryAsync jkQuery = new JKQueryAsync("yourtoken");
    // retry connection handler
    jkQuery.addConnectionHandler(new JKRetryConnectionHandler(5000, TimeUnit.MILLISECONDS));
    // trace connection handler
    jkQuery.addConnectionHandler(new JKTraceConnectionHandler(System.out, true));
    ...
    jkQuery.connect();

The next step is to set up default callback handlers (optional but recommended). Default callback handlers are called for responses not associated with any specific query or subscription.

    JKQueryAsync jkQuery = new JKQueryAsync("yourtoken");
    // setup a default response handler for responses not associated with any specific query
    jkQuery.addDefaultCallbackHandler(new JKTraceQueryCallback(System.out, true));
    jkQuery.connect(); // connect stream with WebSocket interface

Next execute your query. All response will be delegated to all default callback handlers, because no callback has been associated with this query:

    JKQueryAsync jkQuery = new JKQueryAsync("yourtoken");
    // run query in async mode without a callback (use default response handlers)
    jkQuery.callAsync("get number of events for today");
    ...
    jkQuery.close(); // close connection

Alternatively you can execute a query with a specific callback instance. All responses associated with this query will be routed to the callback instance specified in the JKQueryAsync.callAsync(...) call.

    JKQueryAsync jkQuery = new JKQueryAsync("yourtoken");
    // run query in async mode with a specific callback
    JKStatementAsync query = jkQuery.callAsync("get events", new MyJKQueryCallback());
    query.awaitOnDone(10000, TimeUnit.MILLISECONDS); // optional wait 10s for query to finish
    ...
    query.close(); // close query statement
    jkQuery.close(); // close connection

MyJKQueryCallback.onResponse() is called when for every response to the query -- there maybe one or more responses depending on the query. MyJKQueryCallback.onClose() is called when the handle is closed due to JKStatementAsync.close(). MyJKQueryCallback.onDone() is called when the handle will never be called again. This happens when the query is cancelled using JKQueryAsync.cancelAsync() call or when all responses associated with a specific query have been delivered.

public class MyJKQueryCallback implements JKQueryCallback {
    @Override
    public void onResponse(JKStatementAsync qHandle, JsonObject response, Throwable ex) {
        System.out.println("response: handle=" + qHandle + ", response=" + response);
        if (ex != null) {
            System.out.println("error: handle=" + qHandle + ", error=" + ex);
        }
    }

    @Override
    public void onClose(JKStatementAsync qHandle) {
        if (trace) {
            out.println("Closed handle=" + qHandle);
        }
    }

    @Override
    public void onDone(JKStatementAsync qHandle) {
        if (trace) {
            out.println("Done handle=" + qHandle);
        }
    }
}

jkQueryAsync.callAsync() returns a query statement (instance of JKStatementAsync), which can be used later to cancel subscriptions. Cancelling an active query subscription attempts to stop any streaming traffic associated with a specific subscription. Cancellation is also issued asynchronously and any responses that are still in transit will be routed to the default response handler specified by addDefaultCallbackHandler() call.

    JKQueryAsync jkQuery = new JKQueryAsync("yourtoken");
    // run query in async mode with a callback
    JKStatementAsync qhandle = jkQuery.callAsync("get number of events for today", new MyJKQueryCallback());
    ...
    // attempt to cancel subscription to the query results
    qhandle.cancelAsync(qhandle);

JKQL queries can also be executed using prepared JKQL statements as follows:

   JKQueryAsync jkQuery = new JKQueryAsync("yourtoken");
   JKStatementAsync query = jkQuery.prepare("get number of events for today", new MyJKQueryCallback());
   query.callAsync(100); // call with specified max rows for responses
   query.awaitOnDone(10000, TimeUnit.MILLISECONDS); // wait for completion for 10 seconds

Connection Event Handling

Connection handlers can be used to intercept and handle WebSocket connection events such as open, close, error:

public class MyConnectionHandler implements JKConnectionHandler {
    @Override
    public void error(JKQueryAsync async, Throwable ex) {
        System.err.println("error: " + async + ", error=" + ex);
        ex.printStackTrace();
    }

    @Override
    public void close(JKQueryAsync async, CloseReason reason) {
        System.out.println("close: " + async + ", reason=" + reason);
    }

    @Override
    public void open(JKQueryAsync async) {
        System.out.println("open: " + async);
    }
}

Connection handlers can be associated with a JKQL connection handle JKQueryAsync as follows:

    // setup jKool WebSocket connection and connect
    JKQueryAsync jkQuery = new JKQueryAsync("yourtoken");
    jkQueryAsync.addConnectionHandler(new MyConnectionHandler());
    ...
    jkQueryAsync.connect();

Subscribing to Real-time Event Streams

Developers can also subscribe to live data streams using JKQueryAsync class. Subscriptions are based continuous queries submitted by the client and run on the jKool servers. The results of the query are emitted as data becomes available and streamed back to the client call back handler instance of JKQueryCallback. See example below:

    // setup WebSocket connection and connect
    JKQueryAsync jkQuery = new JKQueryAsync("yourtoken");
    jkQuery.addConnectionHandler(new JKRetryConnectionHandler(5000, TimeUnit.MILLISECONDS));
    jkQuery.addConnectionHandler(new MyConnectionHandler());

    // setup a default response handler for responses not associated with any specific query
    jkQuery.addDefaultCallbackHandler(new MyJKQueryCallback());
    jkQuery.connect(); // connect stream with WebSocket interface

    // run subscription query in async mode with a callback
    JKStatementAsync qhandle = jkQuery.subAsync("events where severity > 'INFO'", new MyJKQueryCallback());
    ...

The code above is equivalent to the JKQL statement subscribe to events where severity > 'INFO'. MyJKQueryCallback() gets called as the query matches incoming streams. All pattern stream matching is done on the jKool server side. subscribe query runs on real-time streams only and never on past data. Use get queries to get past data.

Running JKQL Searches on Message Content

JKQueryAsync class provides a helper method to run pattern matches against event message content. See below:

    JKQueryAsync jkQuery = new JKQueryAsync("yourtoken");
    ...
    // run search query in async mode with a callback
    JKStatementAsync qhandle = jkQuery.searchAsync("failure", 10, new MyJKQueryCallback());
    ...

The code above is equivalent to the JKQL statement get events where message contains "failure", where 10 is the maximum number of matching rows to return (default is 100). The example above can be implemented as:

    JKQueryAsync jkQuery = new JKQueryAsync("yourtoken");
    ...
    // run query in async mode with a callback
    JKStatementAsync qhandle = jkQuery.callAsync("get events where message contains \"failure\"", 10, new MyJKQueryCallback());
    ...

Running JKQL from Command Line

You can run JKQL from command line using a helper class JKQLCmd below. Run all commands from the root jkool-client-api-<version> directory. JKQLCmd uses Secure WebSocket/JSON interface to run JKQL.

    java -cp ./*:./lib/* com.jkoolcloud.client.api.utils.JKQLCmd -token access-token -query "get events" -wait 30000

Running message content searches:

    java -cp ./*:./lib/* com.jkoolcloud.client.api.utils.JKQLCmd -token access-token -search "failure" -wait 30000

Command line arguments can be specified via a property file, where any command line argument overrides values specified in the property file:

    java java -cp ./*:./lib/* com.jkoolcloud.client.api.utils.JKQLCmd -file cmd.properties -query "get number of events for today"

Below is a sample property file containing JKQLCmd command line arguments (token should have your jKool API access token):

token=your-access-token
uri=wss://xray.meshiq.com/jkool-service/jkqlasync
query=get number of events
trace=true
wait=15000
maxrows=100
retry=0
#jpath=jk_response/rows-found

Running JKQL using Curl

REST can be used to retrieve data natively (without helper classes) out of your repository using curl. Note that you can specify your token in the HTTP header (X-API-Key) as well instead of specifying it as a query parameter (jk_token). Access tokens must have query/read permission, streaming tokens don't have query access by default.

Example using jk_token parameter to pass access token:

curl -i -d "jk_token=access-token&jk_query=get number of events" -X POST https://xray.meshiq.com/jkool-service/jkql

Example using (X-API-Key) to pass access token:

curl -i -H "X-API-Key: Access-Token" -d "jk_query=get number of events" -X POST https://xray.meshiq.com/jkool-service/jkql

Below is a list of supported query parameters:

Parameter	Required	Default	Description
`jk_token`	Yes	None	API access token
`jk_repo`	No	None	Repository to fetch data from (Required if token references none or multiple repositories)
`jk_query`	Yes	None	query statement to run
`jk_subid`	No	Auto	query request correlator (GUID)
`jk_tz`	No	Server TZ	timezone to be used for timestamps
`jk_locale`	No	Server Locale	locale to be used for date/time and number formats
`jk_date`	No	today	date range for the query
`jk_maxrows`	No	100	maximum rows to be fetched
`jk_trace`	No	false	enable query trace during execution
`jk_timeout`	No	60000	max query timeout in ms
`jk_range`	No	None	query range for`find` queries only
`jk_slow`	No	5000	Time in ms beyond which query is considered slow

Below are common JSON response fields:

Field	Description
`jk_call`	query call verb
`jk_query`	query associated with the response
`jk_ccode`	query response completion code
`jk_error`	query error message if fails
`jk_subid`	query correlator associated with the request
`jk_elapsed_ms`	elapsed time to execute the query (ms)

Example of a failed response:

{
    "jk_call": "get",
    "jk_ccode": "ERROR",
    "jk_elapsed_ms": 8,
    "jk_subid": "f41194b0-5b09-4464-890b-36fd66c01738",
    "jk_error": "com.nastel.jkool.jkql.admin.JKQLSecurityException: Undefined access token 'X', stmt: get number of logs"
}

Example of a successful response:

{
    "rows-found": 798,
    "row-count": 1,
    "total-row-count": 1,
    "data-date-range": "1590206401731372 TO 1590248453356930",
    "query-date-filter": "1590206400000000 TO 1590292799999999",
    "timezone": "Eastern Daylight Time",
    "status": "SUCCESS",
    "time": 1590248630137306,
    "item-type": "Log",
    "colhdr": [
        "NumberOf"
    ],
    "coltype": {
        "NumberOf": "INTEGER"
    },
    "collabel": {
        "NumberOf": "NumberOf"
    },
    "rows": [
        {
            "NumberOf": 798
        }
    ],
    "overallStatistics": {
        "jkql_parse.time.usec": 19,
        "jkql_statement.count": 1,
        "json_string.time.usec": 46,
        "raw_result_post_process.time.usec": 0,
        "request_wait.time.usec": 69,
        "rows_found.count": 798,
        "rows_returned.count": 1,
        "solr_request_build.time.usec": 88,
        "solr_request_elapsed.time.usec": 11000,
        "solr_request_exec.time.usec": 11905,
        "solr_request_qtime.time.usec": 0,
        "solr_result_proc.time.usec": 12,
        "total_exec.time.usec": 47707
    }
}

Streaming with Curl

Data can be streamed using curl. Below is an example:

curl -i -H "Content-Type:application/json" -H "X-API-Key:YOURTOKEN" -X POST https://stream.meshiq.com -d '{"operation":"streamingwithcurl","type":"EVENT","start-time-usec":1457524800000000,"end-time-usec":1457524800000000,"msg-text":"Example curl streaming","source-fqn":"APPL=TestingCurl#SERVER=CurlServer100#NETADDR=11.0.0.2#DATACENTER=DC1#GEOADDR=52.52437,13.41053"}'

Streaming with Python

Streaming data using Python "requests" object. Below is an example:

import requests
headers = {'X-API-Key': 'YOURTOKEN'}
payload={'operation':'streamingwithpython','type':'EVENT','start-time-usec':1457524800000000,'end-time-usec':1457524800000000,'msg-text':'Example Python Streaming','source-fqn':'APPL=TestingCurl#SERVER=CurlServer100#NETADDR=11.0.0.2#DATACENTER=DC1#GEOADDR=52.52437,13.41053'}
resp = requests.post('https://stream.meshiq.com', headers=headers, json=payload)

Note on Timestamps

Timestamp fields such as time-usec, start-time-usec and end-time-usec are measured in microseconds (usec.), between the current time and midnight, January 1, 1970 UTC. Most language environments don't return such time in microsecond precision, in which case you would have to compute it by obtaining current time in milliseconds and convert to microseconds (e.g. System.currentTimeMillis() * 1000).

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README.md

README.md

JKQL Streaming & Query API Using REST

Concepts and Terminology

How to build

Streaming over HTTPS

Running JKQL (Synchronously)

Running JKQL (Asynchronously)

Connection Event Handling

Subscribing to Real-time Event Streams

Running JKQL Searches on Message Content

Running JKQL from Command Line

Running JKQL using Curl

Streaming with Curl

Streaming with Python

Note on Timestamps

Files

README.md

Latest commit

History

README.md

File metadata and controls

JKQL Streaming & Query API Using REST

Concepts and Terminology

How to build

Streaming over HTTPS

Running JKQL (Synchronously)

Running JKQL (Asynchronously)

Connection Event Handling

Subscribing to Real-time Event Streams

Running JKQL Searches on Message Content

Running JKQL from Command Line

Running JKQL using Curl

Streaming with Curl

Streaming with Python

Note on Timestamps