Rule engine SQL statement

    • The clause mounts rules to a topic
    • The SELECT clause is used to select fields in the output
    • The WHERE clause is used to filter messages based on conditions

    The SELECT statement is used to determine the fields in the final output. such as:

    The following SQL output will have only two fields of “a” and “b”:

    1. SELECT a, b FROM "t/#"

    The WHERE statement is used to conditionally filter the fields available in this event or the fields defined in the SELECT statement. such as:

    1. # Select the message from the terminal whose username is 'abc', and the output will be all available fields:
    3. SELECT * FROM "#" WHERE username = 'abc'
    5. ## Select the message sent from the terminal whose clientid is 'abc', and the output will have only one field of cid.
    6. ## Note that the cid variable is defined in the SELECT statement, so it can be used in the WHERE statement:
    8. SELECT clientid as cid FROM "#" WHERE cid = 'abc'
    10. ## Select the message sent from the terminal whose username is 'abc', and the output will have only one field of cid.
    11. ## Note that although only one field of cid is selected in the SELECT statement, all available fields in the message publishing event (such as clientid, username, etc.) can still be used in the WHERE statement:
    13. SELECT clientid as cid FROM "#" WHERE username = 'abc'
    15. ## But the following SQL statement will not work, because the variable xyz is neither an available field in the message publishing event nor defined in the SELECT statement:
    17. SELECT clientid as cid FROM "#" WHERE xyz = 'abc'

    The FROM statement is used to select the source of the event. If the message is published, fill in the topic of the message, if it is an event, fill in the corresponding event topic.

    FOREACH, DO, and INCASE clauses

    If you want to perform some operations and actions for each element of an array data, you need to use the FOREACH-DO-INCASE syntax. The basic format is:

    1. FOREACH <Field name> [DO <Condition>] [INCASE <Condition>] FROM <Topic> [WHERE <Condition>]
    • The FOREACH clause is used to select the field that needs to perform foreach operation. Note that the selected field must be an array type
    • The DO clause is used to transform each element in the array selected by FOREACH and select the field of interest
    • The INCASE clause is used to apply conditional filtering to a field selected by DO

    DO is equivalent to the SELECT clause for objects in the current loop, while INCASE is equivalent to the WHERE statement for objects in the current loop.

    2. FOREACH
    3.     payload.sensors as e ## Note that the selected field must be an array type
    4. DO                       ## The Do clause is used to select fields in the output
    5.     clientid,
    6.     e.name as name,
    7.     e.idx as idx
    8. INCASE
    9.     e.idx >= 1          ## apply conditional filtering to a field selected
    10. FROM "t/#"              ## mounts rules to a topic

    The DO and INCASE clauses are optional.

    Operational symbol

    FunctionPurposeReturned value
    >greater thantrue/false
    <less thantrue/false
    <=less than or equaltrue/false
    >=greater than or equaltrue/false
    <>not equaltrue/false
    !=not equaltrue/false

    SQL statement example:

    Basic syntax examples

    • Extract all fields from the messages with a topic of “t/a”:

      1. SELECT * FROM "t/a"

    • Extract all fields from the messages with a topic of “t/a” or “t/b”:

      1. SELECT * FROM "t/a","t/b"

    • Extract all fields from the message with a topic that can match ‘t/#’.

      1. SELECT * FROM "t/#"

    • Extract the qos, username, and clientid fields from the message with a topic that can match ‘t/#’ :

      1. SELECT qos, username, clientid FROM "t/#"

    • Extract the username field from any topic message with the filter criteria of username = ‘Steven’:

    • Extract the x field from the payload of message with any topic and create the alias x for use in the WHERE clause. The WHERE clause is restricted as x = 1. Note that the payload must be in JSON format. Example: This SQL statement can match the payload {"x": 1}, but can not match to the payload :

        1. SELECT payload FROM "#" WHERE payload.x.y = 1

      2. Try to connect when clientid = ‘c1’, extract its source IP address and port number:

        1. SELECT peername as ip_port FROM "$events/client_connected" WHERE clientid = 'c1'

      3. Filter all clientids that subscribe to the ‘t/#’ topic and have a subscription level of QoS1 :

        1. SELECT clientid FROM "$events/session_subscribed" WHERE topic = 't/#' and qos = 1

      4. Filter all clientids that subscribe to the ‘t/#’ topic and subscription level is QoS1. Note that the strict equality operator ‘=~’ is used here, so it does not match subscription requests with the topic ‘t’ or ‘t/+/a’ :

        1. SELECT clientid FROM "$events/session_subscribed" WHERE topic =~ 't/#' and qos = 1

      5. For an MQTT 5.0 PUBLISH message, select the User Property with Key “foo”:

        1. SELECT pub_props.'User-Property'.foo as foo FROM "t/#"

      TIP

      • Topic after the FROM clause need to be enclosed in double quotes "" or single quotes ''.
      • The WHERE clause is followed by the filter condition. If a string is used, it needs to be enclosed in single quotes ''.

      • If there are multiple topics in the FROM clause, they need to be separated by commas ",". For example,

        1. SELECT * FROM "t/1", "t/2".

      • You can use the "."Symbol to nest select payloads

      • If possible, don’t create alias for payload, as this would cause performance degradations. i.e. Do not use SELECT payload as p

      Suppose there is a message with ClientID of c_steve and topic of t/1. The message body is in JSON format, and the sensors field is an array containing multiple Objects:

      1. {
      2.     "date": "2020-04-24",
      3.     "sensors": [
      4.         {"name": "a", "idx":0},
      5.         {"name": "b", "idx":1},
      6.         {"name": "c", "idx":2}
      7.     ]
      8. }

      Example 1: It is required that each object in sensors is re-published as a data input to the topic of sensors/${idx} with the content of ${name}. That means the final rule engine will issue 3 messages:

      1. Topic: sensors/0 Content: a
      2. Topic: sensors/1 Content: b
      3. Topic: sensors/2 Content: c

      To complete this rule, we need to configure the following actions:

      • Action type: message republish
      • Target topic: sensors/$ {idx}
      • Target QoS: 0
      • Message content template: $ {name}

      And the following SQL statement:

      **Example analysis: **

      In this SQL, the FOREACH clause specifies the array sensors that need to be traversed, then the selection result is:

      1. [
      2.   {
      3.     "name": "a",
      4.     "idx": 0
      5.   },
      6.   {
      7.     "name": "b",
      8.     "idx": 1
      9.   },
      10.   {
      11.     "name": "c",
      12.     "idx": 2
      13.   }
      14. ]

      Example 2: It is required that each object in sensors with ids value greater than or equal to 1 is re-published as a data input to the topic of sensors/${idx} with the content of clientid=${clientid},name=${name},date=${date}. That means the final rule engine will issue 2 messages:

      1. Topic: sensors/1 Content: clientid=c_steve,name=b,date=2020-04-24
      2. Topic: sensors/2 Content: clientid=c_steve,name=c,date=2020-04-24

      To complete this rule, we need to configure the following actions:

      • Action type: message republish
      • Target topic: sensors/$ {idx}
      • Target QoS: 0
      • Message content template: clientid=${clientid},name=${name},date=${date}

      And the following SQL statement:

      1. FOREACH
      2.     payload.sensors
      3. DO
      4.     item.name as name,
      5.     item.idx as idx
      6. INCASE
      7.     item.idx >= 1
      8. FROM "t/#"

      **Example analysis: **

      In this SQL, the FOREACH clause specifies the array sensors that need to be traversed; the DO clause selects the fields required for each operation, and we select the outer clientid field here, and the two fields of name and idx of the current sensor object. Note that item represents the object of this loop in the sensors array. The INCASE clause is a filtering condition for the fields in the DO statement, only if idx> = 1 meets the condition. So the selection result of SQL is:

      1. [
      3.     "name": "b",
      4.     "idx": 1,
      5.     "clientid": "c_emqx"
      6.   },
      7.   {
      8.     "name": "c",
      9.     "idx": 2,
      10.     "clientid": "c_emqx"
      11.   }
      12. ]

      The FOREACH statement will perform a “message republish” action for each object in the result array, so the republish action will be performed twice.

      In DO and INCASE statements, you can use item to access the object of the current loop, or you can customize a variable name by using the as syntax in FOREACH. So the SQL statement in this example can be written as:

      1. FOREACH
      2.     payload.sensors as s
      3. DO
      4.     clientid,
      5.     s.name as name,
      6.     s.idx as idx
      7. INCASE
      8.     s.idx >= 1
      9. FROM "t/#"

      Example 3: Based on Example 2, remove the c_ prefix of c_steve in the clientid field

      Various SQL functions can be called in the FOREACH and DO statements. If you want to change c_steve into steve, you can change the SQL in Example 2 into:

      1. FOREACH
      2.     payload.sensors as s
      3. DO
      4.     nth(2, tokens(clientid,'_')) as clientid,
      5.     s.name as name,
      6.     s.idx as idx
      7. INCASE
      8.     s.idx >= 1
      9. FROM "t/#"

      In addition, multiple expressions can also be placed in the FOREACH clause, as long as the last expression specifies the array to traverse. For example, we can change the message body, and there is one more layer of Object outside the sensors:

      1. {
      2.     "date": "2020-04-24",
      3.     "data": {
      4.         "sensors": [
      5.             {"name": "a", "idx":0},
      6.             {"name": "b", "idx":1},
      7.             {"name": "c", "idx":2}
      8.         ]
      9.     }
      10. }

      Then FOREACH can select data before deciding which array to be traversed:

      1. FOREACH
      2.     payload.data as data
      3.     data.sensors as s
      4. ...

      CASE-WHEN Syntax example

      Example 1: Limit the value of the x field in the message to the range of 0 ~ 7.

      1. SELECT
      2.   CASE WHEN payload.x < 0 THEN 0
      3.        WHEN payload.x > 7 THEN 7
      4.        ELSE payload.x
      5.   END as x

      Suppose the message is: