具有变量嵌套 JSON 对象作为 KSQL DB 流的 Kafka 主题

Question

我正在尝试加入 KSQL 中的两个现有 Kafka 主题。Kafka的一些数据样本（实际值因企业环境有所删减）：

设备主题：

{
  "persistTime" : "2020-10-06T13:30:25.373Z",
  "previous" : {
    "device" : "REDACTED",
    "type" : "REDACTED",
    "group" : "REDACTED",
    "inventoryState" : "unknown",
    "managementState" : "registered",
    "communicationId" : "REDACTED",
    "manufacturer" : "",
    "description" : "",
    "model" : "",
    "location" : {
      "geo" : {
        "latitude" : "REDACTED",
        "longitude" : "REDACTED"
      },
      "address" : {
        "city" : "",
        "postalCode" : "",
        "street" : "",
        "houseNumber" : "",
        "floor" : "",
        "company" : "",
        "country" : "",
        "reference" : "",
        "timeZone" : "",
        "region" : "",
        "district" : ""
      },
      "logicalInstallationPoint" : ""
    },
    "tags" : [ ]
  },
  "current" : {
    "device" : "REDACTED",
    "type" : "REDACTED",
    "group" : "REDACTED",
    "inventoryState" : "unknown",
    "managementState" : "registered",
    "communicationId" : "REDACTED",
    "manufacturer" : "",
    "description" : "",
    "model" : "",
    "location" : {
      "geo" : {
        "latitude" : "REDACTED",
        "longitude" : "REDACTED"
      },
      "address" : {
        "city" : "",
        "postalCode" : "",
        "street" : "",
        "houseNumber" : "",
        "floor" : "",
        "company" : "",
        "country" : "",
        "reference" : "",
        "timeZone" : "",
        "region" : "",
        "district" : ""
      },
      "logicalInstallationPoint" : ""
    },
    "tags" : [ ]
  }
}

设备事件主题（第一个示例）：

{
  "device" : "REDACTED",
  "event" : "403151",
  "firstOccurrenceTime" : "2020-09-30T11:03:50.000Z",
  "lastOccurrenceTime" : "2020-09-30T11:03:50.000Z",
  "occurrenceCount" : 1,
  "receiveTime" : "2020-09-30T11:03:50.000Z",
  "persistTime" : "2020-09-30T14:32:59.580Z",
  "state" : "open",
  "context" : {
    "2" : "25",
    "3" : "0",
    "4" : "60",
    "1" : "REDACTED"
  }
}

设备事件主题（第二个示例）：

{
  "device" : "REDACTED",
  "event" : "402004",
  "firstOccurrenceTime" : "2020-10-07T07:02:48Z",
  "lastOccurrenceTime" : "2020-10-07T07:02:48Z",
  "occurrenceCount" : 1,
  "receiveTime" : "2020-10-07T07:02:48Z",
  "persistTime" : "2020-10-07T07:15:28.533Z",
  "state" : "open",
  "context" : {
    "2" : "2020-10-07T07:02:48.0000000Z",
    "1" : "REDACTED"
  }
}

我面临的问题是context设备事件主题下的变量数量不同。

我已尝试使用以下语句在 ksqlDB 上创建事件流：

CREATE STREAM "events"\
("device" VARCHAR, \
"event" VARCHAR, \
"firstOccurenceTime" VARCHAR, \
"lastOccurenceTime" VARCHAR, \
"occurenceCount" INTEGER, \
"receiveTime" VARCHAR, \
"persistTime" VARCHAR, \
"state" VARCHAR, \
"context" ARRAY<STRING>) \
WITH (KAFKA_TOPIC='device-event', VALUE_FORMAT='JSON');

CREATE STREAM "events"\
("device" VARCHAR, \
"event" VARCHAR, \
"firstOccurenceTime" VARCHAR, \
"lastOccurenceTime" VARCHAR, \
"occurenceCount" INTEGER, \
"receiveTime" VARCHAR, \
"persistTime" VARCHAR, \
"state" VARCHAR, \
"context" STRUCT\
<"1" VARCHAR, \
"2" VARCHAR, \
"3" VARCHAR, \
"4" VARCHAR>) \
WITH (KAFKA_TOPIC='ext_device-event_10195', VALUE_FORMAT='JSON');

第二条语句仅引入包含所有四个上下文变量（“1”、“2”、“3”和“4”）的数据。

如何为设备事件 Kafka 主题创建 KSQL 等效流？

Answer 1

您需要使用 aMAP而不是 a STRUCT。

顺便说一句，您也不再需要\行分隔符了:)

这是使用 ksqlDB 0.12 的工作示例。

• 将示例数据加载到主题中

  kafkacat -b localhost:9092 -P -t events <<EOF
  { "device" : "REDACTED", "event" : "403151", "firstOccurrenceTime" : "2020-09-30T11:03:50.000Z", "lastOccurrenceTime" : "2020-09-30T11:03:50.000Z", "occurrenceCount" : 1, "receiveTime" : "2020-09-30T11:03:50.000Z", "persistTime" : "2020-09-30T14:32:59.580Z", "state" : "open", "context" : { "2" : "25", "3" : "0", "4" : "60", "1" : "REDACTED" } }
  { "device" : "REDACTED", "event" : "402004", "firstOccurrenceTime" : "2020-10-07T07:02:48Z", "lastOccurrenceTime" : "2020-10-07T07:02:48Z", "occurrenceCount" : 1, "receiveTime" : "2020-10-07T07:02:48Z", "persistTime" : "2020-10-07T07:15:28.533Z", "state" : "open", "context" : { "2" : "2020-10-07T07:02:48.0000000Z", "1" : "REDACTED" } }
  EOF
  

• 在 ksqlDB 中，声明流：

  CREATE STREAM "events" (
      "device" VARCHAR,
      "event" VARCHAR,
      "firstOccurenceTime" VARCHAR,
      "lastOccurenceTime" VARCHAR,
      "occurenceCount" INTEGER,
      "receiveTime" VARCHAR,
      "persistTime" VARCHAR,
      "state" VARCHAR,
      "context" MAP < VARCHAR, VARCHAR >
  ) WITH (KAFKA_TOPIC = 'events', VALUE_FORMAT = 'JSON');
  

• 查询流以检查是否正常：

  ksql> SET 'auto.offset.reset' = 'earliest';
  Successfully changed local property 'auto.offset.reset' to 'earliest'. Use the UNSET command to revert your change.
  
  ksql> SELECT "device", "event", "receiveTime", "state", "context" FROM "events" EMIT CHANGES;
  +----------+--------+--------------------------+--------+------------------------------------+
  |device    |event   |receiveTime               |state   |context                             |
  +----------+--------+--------------------------+--------+------------------------------------+
  |REDACTED  |403151  |2020-09-30T11:03:50.000Z  |open    |{1=REDACTED, 2=25, 3=0, 4=60}       |
  |REDACTED  |402004  |2020-10-07T07:02:48Z      |open    |{1=REDACTED, 2=2020-10-07T07:02:48.0|
  |          |        |                          |        |000000Z}                            |
  

• 使用['']语法访问映射中的特定键：

  ksql> SELECT "device", "event", "context", "context"['1'] AS CONTEXT_1, "context"['3'] AS CONTEXT_3 FROM "events" EMIT CHANGES;
  +-----------+--------+------------------------------------+-----------+-----------+
  |device     |event   |context                             |CONTEXT_1  |CONTEXT_3  |
  +-----------+--------+------------------------------------+-----------+-----------+
  |REDACTED   |403151  |{1=REDACTED, 2=25, 3=0, 4=60}       |REDACTED   |0          |
  |REDACTED   |402004  |{1=REDACTED, 2=2020-10-07T07:02:48.0|REDACTED   |null       |
  |           |        |000000Z}                            |           |           |