Compute
Elastic Cloud Server
Huawei Cloud Flexus
Bare Metal Server
Auto Scaling
Image Management Service
Dedicated Host
FunctionGraph
Cloud Phone Host
Huawei Cloud EulerOS
Networking
Virtual Private Cloud
Elastic IP
Elastic Load Balance
NAT Gateway
Direct Connect
Virtual Private Network
VPC Endpoint
Cloud Connect
Enterprise Router
Enterprise Switch
Global Accelerator
Management & Governance
Cloud Eye
Identity and Access Management
Cloud Trace Service
Resource Formation Service
Tag Management Service
Log Tank Service
Config
OneAccess
Resource Access Manager
Simple Message Notification
Application Performance Management
Application Operations Management
Organizations
Optimization Advisor
IAM Identity Center
Cloud Operations Center
Resource Governance Center
Migration
Server Migration Service
Object Storage Migration Service
Cloud Data Migration
Migration Center
Cloud Ecosystem
KooGallery
Partner Center
User Support
My Account
Billing Center
Cost Center
Resource Center
Enterprise Management
Service Tickets
HUAWEI CLOUD (International) FAQs
ICP Filing
Support Plans
My Credentials
Customer Operation Capabilities
Partner Support Plans
Professional Services
Analytics
MapReduce Service
Data Lake Insight
CloudTable Service
Cloud Search Service
Data Lake Visualization
Data Ingestion Service
GaussDB(DWS)
DataArts Studio
Data Lake Factory
DataArts Lake Formation
IoT
IoT Device Access
Others
Product Pricing Details
System Permissions
Console Quick Start
Common FAQs
Instructions for Associating with a HUAWEI CLOUD Partner
Message Center
Security & Compliance
Security Technologies and Applications
Web Application Firewall
Host Security Service
Cloud Firewall
SecMaster
Anti-DDoS Service
Data Encryption Workshop
Database Security Service
Cloud Bastion Host
Data Security Center
Cloud Certificate Manager
Edge Security
Situation Awareness
Managed Threat Detection
Blockchain
Blockchain Service
Web3 Node Engine Service
Media Services
Media Processing Center
Video On Demand
Live
SparkRTC
MetaStudio
Storage
Object Storage Service
Elastic Volume Service
Cloud Backup and Recovery
Storage Disaster Recovery Service
Scalable File Service Turbo
Scalable File Service
Volume Backup Service
Cloud Server Backup Service
Data Express Service
Dedicated Distributed Storage Service
Containers
Cloud Container Engine
SoftWare Repository for Container
Application Service Mesh
Ubiquitous Cloud Native Service
Cloud Container Instance
Databases
Relational Database Service
Document Database Service
Data Admin Service
Data Replication Service
GeminiDB
GaussDB
Distributed Database Middleware
Database and Application Migration UGO
TaurusDB
Middleware
Distributed Cache Service
API Gateway
Distributed Message Service for Kafka
Distributed Message Service for RabbitMQ
Distributed Message Service for RocketMQ
Cloud Service Engine
Multi-Site High Availability Service
EventGrid
Dedicated Cloud
Dedicated Computing Cluster
Business Applications
Workspace
ROMA Connect
Message & SMS
Domain Name Service
Edge Data Center Management
Meeting
AI
Face Recognition Service
Graph Engine Service
Content Moderation
Image Recognition
Optical Character Recognition
ModelArts
ImageSearch
Conversational Bot Service
Speech Interaction Service
Huawei HiLens
Video Intelligent Analysis Service
Developer Tools
SDK Developer Guide
API Request Signing Guide
Terraform
Koo Command Line Interface
Content Delivery & Edge Computing
Content Delivery Network
Intelligent EdgeFabric
CloudPond
Intelligent EdgeCloud
Solutions
SAP Cloud
High Performance Computing
Developer Services
ServiceStage
CodeArts
CodeArts PerfTest
CodeArts Req
CodeArts Pipeline
CodeArts Build
CodeArts Deploy
CodeArts Artifact
CodeArts TestPlan
CodeArts Check
CodeArts Repo
Cloud Application Engine
MacroVerse aPaaS
KooMessage
KooPhone
KooDrive

Kafka Message Format

Updated on 2025-02-17 GMT+08:00

Data synchronized to the Kafka cluster is stored in Avro, JSON, and JSON-C formats. For details about the data formats supported by different data flow scenarios, see Table 1.

Table 1 Data formats

Data Flow

Avro

JSON

JSON-C

MySQL -> Kafka

Supported

Supported

Supported

Oracle -> Kafka

Supported

Supported

Not supported

DDS->Kafka

Not supported

Yes

Not supported

PostgreSQL -> Kafka

Supported

Supported

Not supported

TaurusDB->Kafka

Supported

Supported

Supported

GaussDB Centralized -> Kafka

Supported

Supported

Not supported

GaussDB Distributed -> Kafka

Supported

Supported

Not supported

Microsoft SQL Server->Kafka

Supported

Supported

Not supported

Avro

For details about the schema definition in Avro format, see record.rar. After data is synchronized to the Kafka cluster, parse data based on the definition of the Avro schema.

JSON

For details about the JSON format from MySQL and GaussDB (MySQL) to Kafka, see Table 2. For details about the JSON format from DDS to Kafka, see Table 3. For details about the JSON format from PostgreSQL, GaussDB, Microsoft SQL Server and Oracle to Kafka, see Table 4.
Table 2 Parameters for synchronizing from MySQL to Kafka

Parameter

Description

mysqlType

Field name and type in the source table.

id

Sequence number of an event operation defined in DRS. The value increases monotonically.

es

The time when the record is generated in the source database. The value is a 13-digit Unix timestamp in milliseconds.

ts

The time when the data is written to the target Kafka. The value is a 13-digit Unix timestamp in milliseconds.

database

Database name

table

Table name.

type

Operation type, for example, DELETE, UPDATE, INSERT, and DDL. For full synchronization, the value can be INIT or INIT_DDL.

isDdl

Whether the operation is a DDL operation.

sql

A DDL-defined SQL statement. The value is "".

sqlType

JDBC type of the fields in the source table.

data

The latest data, which is a JSON array. If the value of type is INSERT, the latest data is inserted. If the value of type is UPDATE, the latest data is updated.

old

Old data. If the value of type is UPDATE, the data is old. If the value of type is DELETE, the data is deleted.

pkNames

Primary key name

Message body for incremental synchronization:

{
    "mysqlType":{
        "c11":"binary",
        "c10":"varchar",
        "c13":"text",
        "c12":"varbinary",
        "c14":"blob",
        "c1":"varchar",
        "c2":"varbinary",
        "c3":"int",
        "c4":"datetime",
        "c5":"timestamp",
        "c6":"char",
        "c7":"float",
        "c8":"double",
        "c9":"decimal",
        "id":"int"
    },
    "id":27677,
    "es":1624614713000,
    "ts":1625058726990,
    "database":"test01",
    "table":"test ",
    "type":"UPDATE",
    "isDdl":false,
    "sql":"",
    "sqlType":{
        "c11":-2,
        "c10":12,
        "c13":-1,
        "c12":-3,
        "c14":2004,
        "c1":12,
        "c2":-3,
        "c3":4,
        "c4":94,
        "c5":93,
        "c6":1,
        "c7":6,
        "c8":8,
        "c9":3,
        "id":4
    },
    "data":[
        {
            "c11":"[]",
"c10": "Huawei Cloud huaweicloud",
            "c13":"asfiajhfiaf939-0239uoituqorjoqirfoidjfqrniowejoiwqjroqwjrowqjojoiqgoiegnkjgoi23roiugouofdug9u90weurtg103",
            "c12":"[106, 103, 111, 106, 103, 111, 105, 100, 115, 106, 103, 111, 106, 111, 115, 111, 103, 57, 51, 52, 48, 57, 52, 51, 48, 57, 116, 106, 104, 114, 103, 106, 101, 119, 57, 116, 117, 48, 57, 51, 52, 48, 116, 101, 114, 111, 101, 106, 103, 57, 56, 51, 48, 52, 105, 101, 117, 114, 103, 57, 101, 119, 117, 114, 103, 48, 119, 101, 117, 116, 57, 114, 48, 52, 117, 48, 57, 53, 116, 117, 51, 48, 57, 50, 117, 116, 48, 57, 51, 117, 116, 48, 119, 57, 101]",
            "c14":"[106, 103, 111, 106, 103, 111, 105, 100, 115, 106, 103, 111, 106, 111, 115, 111, 103, 57, 51, 52, 48, 57, 52, 51, 48, 57, 116, 106, 104, 114, 103, 106, 101, 119, 57, 116, 117, 48, 57, 51, 52, 48, 116, 101, 114, 111, 101, 106, 103, 57, 56, 51, 48, 52, 105, 55, 57, 56, 52, 54, 53, 52, 54, 54, 54, 49, 52, 54, 53, 33, 64, 35, 36, 37, 94, 42, 40, 41, 95, 41, 43, 95, 43, 124, 125, 34, 63, 62, 58, 58, 101, 117, 114, 103, 57, 101, 119, 117, 114, 103, 48, 119, 101, 117, 116, 57, 114, 48, 52, 117, 48, 57, 53, 116, 117, 51, 48, 57, 50, 117, 116, 48, 57, 51, 117, 116, 48, 119, 57, 101]",
            "c1":"cf3f70a7-7565-44b0-ae3c-83bec549ea8e:104",
            "c2":"[]",
            "c3":"103",
            "c4":"2021-06-25 17:51:53",
            "c5":"1624614713.201",
            "c6":"!@#$%90weurtg103",
            "c7":"10357.0",
            "c8":"1.2510357E7",
            "c9":"9874510357",
            "id":"104"
        }
    ],
    "old":[
        {
            "c11":"[]",
"c10": "Huawei Cloud huaweicloud",
            "c13":"asfiajhfiaf939-0239",
            "c12":"[106, 103, 111, 106, 103, 111, 105, 100, 115, 106, 103, 111, 106, 111, 115, 111, 103, 57, 51, 52, 48, 57, 52, 51, 48, 57, 116, 106, 104, 114, 103, 106, 101, 119, 57, 116, 117, 48, 57, 51, 52, 48, 116, 101, 114, 111, 101, 106, 103, 57, 56, 51, 48, 52, 105, 101, 117, 114, 103, 57, 101, 119, 117, 114, 103, 48, 119, 101, 117, 116, 57, 114, 48, 52, 117, 48, 57, 53, 116, 117, 51, 48, 57, 50, 117, 116, 48, 57, 51, 117, 116, 48, 119, 57, 101]",
            "c14":"[106, 103, 111, 106, 103, 111, 105, 100, 115, 106, 103, 111, 106, 111, 115, 111, 103, 57, 51, 52, 48, 57, 52, 51, 48, 57, 116, 106, 104, 114, 103, 106, 101, 119, 57, 116, 117, 48, 57, 51, 52, 48, 116, 101, 114, 111, 101, 106, 103, 57, 56, 51, 48, 52, 105, 55, 57, 56, 52, 54, 53, 52, 54, 54, 54, 49, 52, 54, 53, 33, 64, 35, 36, 37, 94, 42, 40, 41, 95, 41, 43, 95, 43, 124, 125, 34, 63, 62, 58, 58, 101, 117, 114, 103, 57, 101, 119, 117, 114, 103, 48, 119, 101, 117, 116, 57, 114, 48, 52, 117, 48, 57, 53, 116, 117, 51, 48, 57, 50, 117, 116, 48, 57, 51, 117, 116, 48, 119, 57, 101]",
            "c1":"cf3f70a7-7565-44b0-ae3c-83bec549ea8e:104",
            "c2":"[]",
            "c3":"103",
            "c4":"2021-06-25 17:51:53",
            "c5":"1624614713.201",
            "c6":"!@#$%90weurtg103",
            "c7":"10357.0",
            "c8":"1.2510357E7",
            "c9":"9874510357",
            "id":"103"
        }
    ],
    "pkNames":[
        "id"
    ]
}

Message body for full synchronization (table data):
{
	"jobId": "e28c0c1e-e3ab-4f6c-bbc2-69c28670deec",
	"shardId": "c66c15af-747b-4bd6-9b5d-de2e8e38f935",
	"identifier": "1",
	"eventId": "mysql-bin.000065:800;2bf665dc-f8e2-11eb-bcfd-6c4b90b9d8b3:1-251167",
	"mysqlType": {
		"c11": "binary",
		"c10": "varchar",
		"c13": "text",
		"c12": "varbinary",
		"c14": "blob",
		"c1": "varchar",
		"c2": "varbinary",
		"c3": "int",
		"c4": "datetime",
		"c5": "timestamp",
		"c6": "char",
		"c7": "float",
		"c8": "double",
		"c9": "decimal",
		"id": "int"
	},
	"id": 27677,
	"es": 1624614713000,
	"ts": 1625058726990,
	"database": "test01",
	"table": "test",
	"type": "INIT",
	"isDdl": false,
	"sql": "",
	"sqlType": {
		"c11": -2,
		"c10": 12,
		"c13": -1,
		"c12": -3,
		"c14": 2004,
		"c1": 12,
		"c2": -3,
		"c3": 4,
		"c4": 94,
		"c5": 93,
		"c6": 1,
		"c7": 6,
		"c8": 8,
		"c9": 3,
		"id": 4
	},
	"data": [{
		"c11": "[]",
		"c10": "Huawei Cloud huaweicloud",
		"c13": "asfiajhfiaf939-0239uoituqorjoqirfoidjfqrniowejoiwqjroqwjrowqjojoiqgoiegnkjgoi23roiugouofdug9u90weurtg103",
		"c12": "[106, 103, 111, 106, 103, 111, 105, 100, 115, 106, 103, 111, 106, 111, 115, 111, 103, 57, 51, 52, 48, 57, 52, 51, 48, 57, 116, 106, 104, 114, 103, 106, 101, 119, 57, 116, 117, 48, 57, 51, 52, 48, 116, 101, 114, 111, 101, 106, 103, 57, 56, 51, 48, 52, 105, 101, 117, 114, 103, 57, 101, 119, 117, 114, 103, 48, 119, 101, 117, 116, 57, 114, 48, 52, 117, 48, 57, 53, 116, 117, 51, 48, 57, 50, 117, 116, 48, 57, 51, 117, 116, 48, 119, 57, 101]",
		"c14": "[106, 103, 111, 106, 103, 111, 105, 100, 115, 106, 103, 111, 106, 111, 115, 111, 103, 57, 51, 52, 48, 57, 52, 51, 48, 57, 116, 106, 104, 114, 103, 106, 101, 119, 57, 116, 117, 48, 57, 51, 52, 48, 116, 101, 114, 111, 101, 106, 103, 57, 56, 51, 48, 52, 105, 55, 57, 56, 52, 54, 53, 52, 54, 54, 54, 49, 52, 54, 53, 33, 64, 35, 36, 37, 94, 42, 40, 41, 95, 41, 43, 95, 43, 124, 125, 34, 63, 62, 58, 58, 101, 117, 114, 103, 57, 101, 119, 117, 114, 103, 48, 119, 101, 117, 116, 57, 114, 48, 52, 117, 48, 57, 53, 116, 117, 51, 48, 57, 50, 117, 116, 48, 57, 51, 117, 116, 48, 119, 57, 101]",
		"c1": "cf3f70a7-7565-44b0-ae3c-83bec549ea8e:104",
		"c2": "[]",
		"c3": "103",
		"c4": "2021-06-25 17:51:53",
		"c5": "1624614713.201",
		"c6": "!@#$%90weurtg103",
		"c7": "10357.0",
		"c8": "1.2510357E7",
		"c9": "9874510357",
		"id": "104"
	}],
	"old": null,
	"pkNames": [
		"id"
	]
}
Message body for full synchronization (table structure):
{
  "jobId": "e28c0c1e-e3ab-4f6c-bbc2-69c28670deec",
  "shardId": null,
  "identifier": null,
  "eventId": "",
  "mysqlType": null,
  "id": 0,
  "es": 1733998006282,
  "ts": 1733998006282,
  "database": "test01",
  "table": "test",
  "type": "INIT_DDL",
  "isDdl": true,
  "sql": "CREATE TABLE `test` (  `id` int(11) NOT NULL AUTO_INCREMENT,  `c1` varchar(255) DEFAULT NULL,  `c2` blob,  `c3` longblob,  `c4` bit(2) DEFAULT NULL,  `c5` binary(255) DEFAULT NULL,  `c6` varchar(255) DEFAULT NULL,  PRIMARY KEY (`id`)) ENGINE InnoDB AUTO_INCREMENT DEFAULT CHARSET utf8",
  "sqlType": null,
  "data": null,
  "old": null,
  "pkNames": null
}
Table 3 Parameters for synchronizing data from DDS to Kafka

Parameter

Description

id

Sequence number of an event operation defined in DRS. The value increases monotonically.

op

Operation type, such as DELETE, UPDATE, INSERT, and DDL.

dbType

Source database type: MongoDB

db

Database name.

coll

Collection name.

value

Change value of a record.

where

Change condition of a record.

recordType

Record type, such as insert, update, replace, and doc. update and replace indicate the UPDATE operation in op. doc indicates that the DELETE operation in op deletes document data instead of view data.

extra

Extended field. The value is the same as that of recordType and this parameter is used as an extended oplog record.

es

Commit time of a record. The value is a 13-digit Unix timestamp, in milliseconds.

ts

The time when the data is written to the destination Kafka. The value is a 13-digit Unix timestamp in milliseconds.

clusterTime

Timestamp of the oplog entry associated with the event. The value is in the format of timestamp:incre. timestamp is the Unix timestamp (unit: second), and incre is the command execution sequence in a second.

// insert operation
{
  "id": 256,
  "op": "INSERT",
  "dbType": "MongoDB",
  "db": "ljx",
  "coll": "ljx",
  "value": "{\"_id\": ObjectId(\"64650cf67dc36a464e76e583\"), \"c1\": \"baz\", \"tags\": [\"mongodb\", \"database\", \"NoSQL\"]}",
  "where": null,
  "recordType": "insert",
  "extra": "insert",
  "es": 1684315111439,
  "ts": 1684315111576,
  "clusterTime": "1684344064:1"
}

// replace operation
{
  "id": 340,
  "op": "UPDATE",
  "dbType": "MongoDB",
  "db": "ljx",
  "coll": "ljx",
  "value": "{\"_id\": ObjectId(\"64650cf67dc36a464e76e583\"), \"c1\": \"sss\"}",
  "where": "{\"_id\": ObjectId(\"64650cf67dc36a464e76e583\")}",
  "recordType": "replace",
  "extra": "replace",
  "es": 1684315951831,
  "ts": 1684315951961,
  "clusterTime": "1684344904:9"
}

// value update operation
{
  "id": 386,
  "op": "UPDATE",
  "dbType": "MongoDB",
  "db": "ljx",
  "coll": "ljx",
  "value": "{\"$set\": {\"c1\": \"aaa\"}}",
  "where": "{\"_id\": ObjectId(\"64650cf67dc36a464e76e583\")}",
  "recordType": "update",
  "extra": "update",
  "es": 1684316412008,
  "ts": 1684316412146,
  "clusterTime": "1684345365:1"
}

// key update operation
{
  "id": 414,
  "op": "UPDATE",
  "dbType": "MongoDB",
  "db": "ljx",
  "coll": "ljx",
  "value": "{\"$unset\": {\"c1\": true}, \"$set\": {\"column1\": \"aaa\"}}",
  "where": "{\"_id\": ObjectId(\"64650cf67dc36a464e76e583\")}",
  "recordType": "update",
  "extra": "update",
  "es": 1684316692054,
  "ts": 1684316692184,
  "clusterTime": "1684345648:1"
}

// remove operation
{
  "id": 471,
  "op": "DELETE",
  "dbType": "MongoDB",
  "db": "ljx",
  "coll": "ljx",
  "value": "{\"_id\": ObjectId(\"64650cf67dc36a464e76e583\")}",
  "where": null,
  "recordType": "doc",
  "extra": "doc",
  "es": 1684317252747,
  "ts": 1684317252869,
  "clusterTime": "1684346209:1"
}
Table 4 Parameters for synchronizing from other databases to Kafka

Parameter

Description

columnType

Field name and data type in the source table

NOTE:
  • The data type does not contain the length and precision.
  • This parameter is left blank when dbType is set to Oracle or Microsoft SQL Server.

dbType

Source database type

schema

Schema name.

opType

Operation type, such as DELETE, UPDATE, INSERT, and DDL.

id

Sequence number of an event operation defined in DRS. The value increases monotonically.

es

The source DB engine types are as follows:

GaussDB Centralized: commit time of the current transaction. The value is a 13-digit Unix timestamp, in milliseconds.

GaussDB Distributed: commit time of the current transaction. The value is a 13-digit Unix timestamp, in milliseconds.

PostgreSQL: commit time of the previous transaction. The value is a 13-digit Unix timestamp, in milliseconds.

Oracle: commit time of a record. The value is a 13-digit Unix timestamp, in milliseconds.

Microsoft SQL Server: commit time of a record. The value is a 13-digit Unix timestamp, in milliseconds.

ts

The time when the data is written to the target Kafka. The value is a 13-digit Unix timestamp in milliseconds.

database

Database name. This parameter is left blank when dbType is set to Oracle.

table

Table name.

type

Operation type, such as DELETE, UPDATE, INSERT, and DDL.

isDdl

Whether the operation is a DDL operation.

sql

A DDL-defined SQL statement. The value is "".

sqlType

JDBC type of the fields in the source table.

data

The latest data, which is a JSON array. If the value of type is INSERT, the latest data is inserted. If the value of type is UPDATE, the latest data is updated.

old

Old data. If the value of type is UPDATE, the data is old. If the value of type is DELETE, the data is deleted.

pkNames

Primary key name

{
    "columnType": {
        "timestamp_column": "timestamp without time zone", 
        "tstzrange_column": "tstzrange", 
        "int4range_column": "int4range", 
        "char_column": "character", 
        "jsonb_column": "json", 
        "boolean_column": "boolean", 
        "bit_column": "bit", 
        "smallint_column": "smallint", 
        "bytea_column": "bytea"
    }, 
    "dbType": "GaussDB Primary/Standby", 
    "schema": "schema01", 
    "opType": "UPDATE", 
    "id": 332, 
    "es": 1639626187000, 
    "ts": 1639629261915, 
    "database": "database01", 
    "table": "table01", 
    "type": "UPDATE", 
    "isDdl": false, 
    "sql": "", 
    "sqlType": {
        "timestamp_column": 16, 
        "tstzrange_column": 46, 
        "int4range_column": 42, 
        "char_column": 9, 
        "jsonb_column": 22, 
        "boolean_column": 8, 
        "bit_column": 20, 
        "smallint_column": 2, 
        "bytea_column": 15
    }, 
    "data": [
        {
            "timestamp_column": "2021-12-16 12:31:49.344365", 
            "tstzrange_column": "(\"2010-01-01 14:30:00+08\",\"2010-01-01 15:30:00+08\")", 
            "int4range_column": "[11,20)", 
            "char_column": "g", 
            "jsonb_column": "{\"key1\": \"value1\", \"key2\": \"value2\"}", 
            "boolean_column": "false", 
            "bit_column": "1", 
            "smallint_column": "12", 
            "bytea_column": "62797465615f64617461"
        }
    ], 
    "old": [
        {
            "timestamp_column": "2014-07-02 06:14:00.742", 
            "tstzrange_column": "(\"2010-01-01 14:30:00+08\",\"2010-01-01 15:30:00+08\")", 
            "int4range_column": "[11,20)", 
            "char_column": "g", 
            "jsonb_column": "{\"key1\": \"value1\", \"key2\": \"value2\"}", 
            "boolean_column": "true", 
            "bit_column": "1", 
            "smallint_column": "12", 
            "bytea_column": "62797465615f64617461"
        }
    ], 
    "pkNames": null
}

JSON-C

JSON-C is similar to JSON. The difference lies in the delete operation. JSON data is stored in old, and JSON-C is stored in data. Data of the timestamp type is converted into a character string in the format of yyyy-mm-dd hh:mm:ss.

For details, see Table 5.
Table 5 JSON-C parameter description

Parameter

Description

mysqlType

Field name and type in the source table.

id

Sequence number of an event operation defined in DRS. The value increases monotonically.

es

The time when the record is generated in the source database. The value is a 13-digit Unix timestamp in milliseconds.

ts

The time when the data is written to the target Kafka. The value is a 13-digit Unix timestamp in milliseconds.

database

Database name. For the Oracle database, set this parameter to schema.

table

Table name.

type

Operation type, such as DELETE, UPDATE, INSERT, and DDL.

isDdl

Whether the operation is a DDL operation.

sql

A DDL-defined SQL statement. The value is "".

sqlType

JDBC type of the fields in the source table.

data

Latest data, which is a JSON array. If type is set to INSERT, this parameter indicates the latest inserted data. If type is set to UPDATE, this parameter indicates the latest updated data. If type is set to DELETE, this parameter indicates the deleted data.

old

Old data. If type is set to UPDATE, the value indicates the data before update. If type is set to INSERT, the value is null.

pkNames

Primary key name

Common Escape Characters in JSON

Table 6 Escape Character

Character

Escape character

<

\u003c

=

\u003d

>

\u003e

&

\u0026

'

\u0027

We use cookies to improve our site and your experience. By continuing to browse our site you accept our cookie policy. Find out more

Feedback

Feedback

Feedback

0/500

Selected Content

Submit selected content with the feedback