- About MogDB
- Quick Start
- Characteristic Description
- Overview
- High Performance
- CBO Optimizer
- LLVM
- Vectorized Engine
- Hybrid Row-Column Store
- Adaptive Compression
- Adaptive Two-phase Hash Aggregation
- SQL Bypass
- Kunpeng NUMA Architecture Optimization
- High Concurrency of Thread Pools
- SMP for Parallel Execution
- Xlog no Lock Flush
- Parallel Page-based Redo For Ustore
- Row-Store Execution to Vectorized Execution
- Astore Row Level Compression
- BTree Index Compression
- Tracing SQL Function
- Parallel Index Scan
- Parallel Query Optimization
- Enhancement of Tracing Backend Key Thread
- Ordering Operator Optimization
- OCK-accelerated Data Transmission
- OCK SCRLock Accelerate Distributed Lock
- Enhancement of WAL Redo Performance
- Enhancement of Dirty Pages Flushing Performance
- Sequential Scan Prefetch
- Ustore SMP Parallel Scanning
- Statement Level PLSQL Function Cache Support
- High Availability (HA)
- Primary/Standby
- Logical Replication
- Logical Backup
- Physical Backup
- Automatic Job Retry upon Failure
- Ultimate RTO
- High Availability Based on the Paxos Protocol
- Cascaded Standby Server
- Delayed Replay
- Adding or Deleting a Standby Server
- Delaying Entering the Maximum Availability Mode
- Parallel Logical Decoding
- DCF
- CM(Cluster Manager)
- Global SysCache
- Using a Standby Node to Build a Standby Node
- Two City and Three Center DR
- CM Cluster Management Component Supporting Two Node Deployment
- Query of the Original DDL Statement for a View
- MogDB/CM/PTK Dual Network Segment Support
- Enhanced Efficiency of Logical Backup and Restore
- Maintainability
- Workload Diagnosis Report (WDR)
- Slow SQL Diagnosis
- Session Performance Diagnosis
- System KPI-aided Diagnosis
- Fault Diagnosis
- Extension Splitting
- Built-in Stack Tool
- SQL PATCH
- Lightweight Lock Export and Analysis
- DCF Module Tracing
- Error When Writing Illegal Characters
- Support For Pageinspect & Pagehack
- Autonomous Transaction Management View and Termination
- Corrupt Files Handling
- Compatibility
- Add %rowtype Attribute To The View
- Aggregate Functions Distinct Performance Optimization
- Aggregate Functions Support Keep Clause
- Aggregate Functions Support Scenario Extensions
- Compatible With MySQL Alias Support For Single Quotes
- current_date/current_time Keywords As Field Name
- Custom Type Array
- For Update Support Outer Join
- MogDB Supports Insert All
- Oracle DBLink Syntax Compatibility
- Remove Type Conversion Hint When Creating PACKAGE/FUNCTION/PROCEDURE
- Support Bypass Method When Merge Into Hit Index
- Support For Adding Nocopy Attributes To Procedure And Function Parameters
- Support For Passing The Count Attribute Of An Array As A Parameter Of The Array Extend
- Support Q Quote Escape Character
- Support Subtracting Two Date Types To Return Numeric Type
- Support table()
- Support To Keep The Same Name After The End With Oracle
- Support Where Current Of
- Support For Constants In Package As Default Values
- Support PLPGSQL subtype
- Support Synonym Calls Without Parentheses For Function Without Parameters
- Support For dbms_utility.format_error_backtrace
- Support for PIVOT and UNPIVOT Syntax
- Mod Function Compatibility
- Support for Nesting of Aggregate Functions
- ORDER BY/GROUP BY Scenario Expansion
- Support for Modifying Table Log Properties After Table Creation
- Support for INSERT ON CONFLICT Clause
- Support for AUTHID CURRENT_USER
- Support for Stored Procedure OUT Parameters in PBE Mode
- Database Security
- Access Control Model
- Separation of Control and Access Permissions
- Database Encryption Authentication
- Data Encryption and Storage
- Database Audit
- Network Communication Security
- Resource Label
- Unified Audit
- Dynamic Data Anonymization
- Row-Level Access Control
- Password Strength Verification
- Equality Query in a Fully-encrypted Database
- Ledger Database Mechanism
- Transparent Data Encryption
- Enterprise-Level Features
- Support for Functions and Stored Procedures
- SQL Hints
- Full-Text Indexing
- Copy Interface for Error Tolerance
- Partitioning
- Support for Advanced Analysis Functions
- Materialized View
- HyperLogLog
- Creating an Index Online
- Autonomous Transaction
- Global Temporary Table
- Pseudocolumn ROWNUM
- Stored Procedure Debugging
- JDBC Client Load Balancing and Read/Write Isolation
- In-place Update Storage Engine
- Publication-Subscription
- Foreign Key Lock Enhancement
- Data Compression in OLTP Scenarios
- Transaction Async Submit
- Index Creation Parallel Control
- Dynamic Partition Pruning
- COPY Import Optimization
- SQL Running Status Observation
- BRIN Index
- BLOOM Index
- Event Trigger
- Scrollable Cursor Support for Reverse Retrieval
- Support for Pruning Subquery Projection Columns
- Pruning ORDER BY in Subqueries
- Automatic Creation of Indexes Supporting Fuzzy Matching
- Support for Importing and Exporting Specific Objects
- Application Development Interfaces
- AI Capabilities
- Middleware
- Workload Management
- Installation Guide
- Upgrade Guide
- Administrator Guide
- Localization
- Routine Maintenance
- Starting and Stopping MogDB
- Using the gsql Client for Connection
- Routine Maintenance
- Checking OS Parameters
- Checking MogDB Health Status
- Checking Database Performance
- Checking and Deleting Logs
- Checking Time Consistency
- Checking The Number of Application Connections
- Routinely Maintaining Tables
- Routinely Recreating an Index
- Exporting and Viewing the WDR
- Data Security Maintenance Suggestions
- Slow SQL Diagnosis
- Log Reference
- Primary and Standby Management
- Column-store Tables Management
- Backup and Restoration
- Database Deployment Solutions
- Importing and Exporting Data
- High Available Guide
- AI Features Guide
- AI4DB: Autonomous Database O&M
- DBMind Mode
- Components that Support DBMind
- AI Sub-functions of the DBMind
- ABO Optimizer
- DB4AI: Database-driven AI
- AI4DB: Autonomous Database O&M
- Security Guide
- Developer Guide
- Application Development Guide
- Development Specifications
- Development Based on JDBC
- JDBC Package, Driver Class, and Environment Class
- Development Process
- Loading the Driver
- Connecting to a Database
- Connecting to the Database (Using SSL)
- Connecting to the Database (Using UDS)
- Running SQL Statements
- Processing Data in a Result Set
- Closing a Connection
- Managing Logs
- Example: Common Operations
- Example: Retrying SQL Queries for Applications
- Example: Importing and Exporting Data Through Local Files
- Example 2: Migrating Data from a MY Database to MogDB
- Example: Logic Replication Code
- Example: Parameters for Connecting to the Database in Different Scenarios
- Example: JDBC Primary/Standby Cluster Load Balancing
- JDBC API Reference
- java.sql.Connection
- java.sql.CallableStatement
- java.sql.DatabaseMetaData
- java.sql.Driver
- java.sql.PreparedStatement
- java.sql.ResultSet
- java.sql.ResultSetMetaData
- java.sql.Statement
- javax.sql.ConnectionPoolDataSource
- javax.sql.DataSource
- javax.sql.PooledConnection
- javax.naming.Context
- javax.naming.spi.InitialContextFactory
- CopyManager
- JDBC-based Common Parameter Reference
- JDBC Release Notes
- Development Based on ODBC
- Development Based on libpq
- Psycopg2-Based Development
- Commissioning
- Stored Procedure
- User Defined Functions
- PL/pgSQL-SQL Procedural Language
- Scheduled Jobs
- Autonomous Transaction
- Logical Replication
- Extension
- MySQL Compatibility Description
- Dolphin Extension
- Dolphin Overview
- Dolphin Installation
- Dolphin Restrictions
- Dolphin Syntax
- SQL Reference
- Keywords
- Data Types
- Functions and Operators
- Assignment Operators
- Character Processing Functions and Operators
- Arithmetic Functions and Operators
- Dolphin Lock
- Date and Time Processing Functions and Operators
- Advisory Lock Functions
- Network Address Functions and Operators
- Conditional Expression Functions
- Aggregate Functions
- System Information Functions
- Logical Operators
- Bit String Functions and Operators
- JSON-JSONB Functions and Operators
- Type Conversion Functions
- Compatible Operators and Operations
- Comment Operators
- Expressions
- DDL Syntax
- DML Syntax
- DCL Syntax
- SQL Syntax
- ALTER DATABASE
- ALTER FUNCTION
- ALTER PROCEDURE
- ALTER SERVER
- ALTER TABLE
- ALTER TABLE PARTITION
- ALTER TABLESPACE
- ALTER VIEW
- ANALYZE | ANALYSE
- AST
- CHECKSUM TABLE
- CREATE DATABASE
- CREATE FUNCTION
- CREATE INDEX
- CREATE PROCEDURE
- CREATE SERVER
- CREATE TABLE
- CREATE TABLE AS
- CREATE TABLE PARTITION
- CREATE TABLESPACE
- CREATE TRIGGER
- CREATE VIEW
- DESCRIBE TABLE
- DO
- DROP DATABASE
- DROP INDEX
- DROP TABLESPACE
- EXECUTE
- EXPLAIN
- FLUSH BINARY LOGS
- GRANT
- GRANT/REVOKE PROXY
- INSERT
- KILL
- LOAD DATA
- OPTIMIZE TABLE
- PREPARE
- RENAME TABLE
- RENAME USER
- REVOKE
- SELECT
- SELECT HINT
- SET CHARSET
- SET PASSWORD
- SHOW CHARACTER SET
- SHOW COLLATION
- SHOW COLUMNS
- SHOW CREATE DATABASE
- SHOW CREATE FUNCTION
- SHOW CREATE PROCEDURE
- SHOW CREATE TABLE
- SHOW CREATE TRIGGER
- SHOW CREATE VIEW
- SHOW DATABASES
- SHOW FUNCTION STATUS
- SHOW GRANTS
- SHOW INDEX
- SHOW MASTER STATUS
- SHOW PLUGINS
- SHOW PRIVILEGES
- SHOW PROCEDURE STATUS
- SHOW PROCESSLIST
- SHOW SLAVE HOSTS
- SHOW STATUS
- SHOW TABLES
- SHOW TABLE STATUS
- SHOW TRIGGERS
- SHOW VARIABLES
- SHOW WARNINGS/ERRORS
- UPDATE
- USE db_name
- System Views
- GUC Parameters
- Resetting Parameters
- Stored Procedures
- Identifiers
- SQL Reference
- MySQL Syntax Compatibility Assessment Tool
- Dolphin Extension
- Materialized View
- Partition Management
- Application Development Guide
- Performance Tuning Guide
- Reference Guide
- System Catalogs and System Views
- Overview
- Querying a System Catalog
- System Catalogs
- GS_ASP
- GS_AUDITING_POLICY
- GS_AUDITING_POLICY_ACCESS
- GS_AUDITING_POLICY_FILTERS
- GS_AUDITING_POLICY_PRIVILEGES
- GS_CLIENT_GLOBAL_KEYS
- GS_CLIENT_GLOBAL_KEYS_ARGS
- GS_COLUMN_KEYS
- GS_COLUMN_KEYS_ARGS
- GS_DB_PRIVILEGE
- GS_ENCRYPTED_COLUMNS
- GS_ENCRYPTED_PROC
- GS_GLOBAL_CHAIN
- GS_GLOBAL_CONFIG
- GS_MASKING_POLICY
- GS_MASKING_POLICY_ACTIONS
- GS_MASKING_POLICY_FILTERS
- GS_MATVIEW
- GS_MATVIEW_DEPENDENCY
- GS_MODEL_WAREHOUSE
- GS_OPT_MODEL
- GS_PACKAGE
- GS_POLICY_LABEL
- GS_RECYCLEBIN
- GS_TXN_SNAPSHOT
- GS_UID
- GS_WLM_EC_OPERATOR_INFO
- GS_WLM_INSTANCE_HISTORY
- GS_WLM_OPERATOR_INFO
- GS_WLM_PLAN_ENCODING_TABLE
- GS_WLM_PLAN_OPERATOR_INFO
- GS_WLM_SESSION_QUERY_INFO_ALL
- GS_WLM_USER_RESOURCE_HISTORY
- PG_AGGREGATE
- PG_AM
- PG_AMOP
- PG_AMPROC
- PG_APP_WORKLOADGROUP_MAPPING
- PG_ATTRDEF
- PG_ATTRIBUTE
- PG_AUTH_HISTORY
- PG_AUTH_MEMBERS
- PG_AUTHID
- PG_CAST
- PG_CLASS
- PG_COLLATION
- PG_CONSTRAINT
- PG_CONVERSION
- PG_DATABASE
- PG_DB_ROLE_SETTING
- PG_DEFAULT_ACL
- PG_DEPEND
- PG_DESCRIPTION
- PG_DIRECTORY
- PG_ENUM
- PG_EVENT_TRIGGER
- PG_EXTENSION
- PG_EXTENSION_DATA_SOURCE
- PG_FOREIGN_DATA_WRAPPER
- PG_FOREIGN_SERVER
- PG_FOREIGN_TABLE
- PG_HASHBUCKET
- PG_INDEX
- PG_INHERITS
- PG_JOB
- PG_JOB_PROC
- PG_LANGUAGE
- PG_LARGEOBJECT
- PG_LARGEOBJECT_METADATA
- PG_NAMESPACE
- PG_OBJECT
- PG_OPCLASS
- PG_OPERATOR
- PG_OPFAMILY
- PG_PARTITION
- PG_PLTEMPLATE
- PG_PROC
- PG_PUBLICATION
- PG_PUBLICATION_REL
- PG_RANGE
- PG_REPLICATION_ORIGIN
- PG_RESOURCE_POOL
- PG_REWRITE
- PG_RLSPOLICY
- PG_SECLABEL
- PG_SET
- PG_SHDEPEND
- PG_SHDESCRIPTION
- PG_SHSECLABEL
- PG_STATISTIC
- PG_STATISTIC_EXT
- PG_SUBSCRIPTION
- PG_SUBSCRIPTION_REL
- PG_SYNONYM
- PG_TABLESPACE
- PG_TRIGGER
- PG_TS_CONFIG
- PG_TS_CONFIG_MAP
- PG_TS_DICT
- PG_TS_PARSER
- PG_TS_TEMPLATE
- PG_TYPE
- PG_USER_MAPPING
- PG_USER_STATUS
- PG_WORKLOAD_GROUP
- PGXC_CLASS
- PGXC_GROUP
- PGXC_NODE
- PGXC_SLICE
- PLAN_TABLE_DATA
- STATEMENT_HISTORY
- System Views
- GET_GLOBAL_PREPARED_XACTS(Discarded)
- GS_ASYNC_SUBMIT_SESSIONS_STATUS
- GS_AUDITING
- GS_AUDITING_ACCESS
- GS_AUDITING_PRIVILEGE
- GS_CLUSTER_RESOURCE_INFO
- GS_COMPRESSION
- GS_DB_PRIVILEGES
- GS_FILE_STAT
- GS_GSC_MEMORY_DETAIL
- GS_INSTANCE_TIME
- GS_LABELS
- GS_LSC_MEMORY_DETAIL
- GS_MASKING
- GS_MATVIEWS
- GS_OS_RUN_INFO
- GS_REDO_STAT
- GS_SESSION_CPU_STATISTICS
- GS_SESSION_MEMORY
- GS_SESSION_MEMORY_CONTEXT
- GS_SESSION_MEMORY_DETAIL
- GS_SESSION_MEMORY_STATISTICS
- GS_SESSION_STAT
- GS_SESSION_TIME
- GS_SHARED_MEMORY_DETAIL
- GS_SQL_COUNT
- GS_STAT_SESSION_CU
- GS_THREAD_MEMORY_CONTEXT
- GS_TOTAL_MEMORY_DETAIL
- GS_WLM_CGROUP_INFO
- GS_WLM_EC_OPERATOR_STATISTICS
- GS_WLM_OPERATOR_HISTORY
- GS_WLM_OPERATOR_STATISTICS
- GS_WLM_PLAN_OPERATOR_HISTORY
- GS_WLM_REBUILD_USER_RESOURCE_POOL
- GS_WLM_RESOURCE_POOL
- GS_WLM_SESSION_HISTORY
- GS_WLM_SESSION_INFO
- GS_WLM_SESSION_INFO_ALL
- GS_WLM_SESSION_STATISTICS
- GS_WLM_USER_INFO
- IOS_STATUS
- MPP_TABLES
- PG_AVAILABLE_EXTENSION_VERSIONS
- PG_AVAILABLE_EXTENSIONS
- PG_COMM_DELAY
- PG_COMM_RECV_STREAM
- PG_COMM_SEND_STREAM
- PG_COMM_STATUS
- PG_CONTROL_GROUP_CONFIG
- PG_CURSORS
- PG_EXT_STATS
- PG_GET_INVALID_BACKENDS
- PG_GET_SENDERS_CATCHUP_TIME
- PG_GROUP
- PG_GTT_ATTACHED_PIDS
- PG_GTT_RELSTATS
- PG_GTT_STATS
- PG_INDEXES
- PG_LOCKS
- PG_NODE_ENV
- PG_OS_THREADS
- PG_PREPARED_STATEMENTS
- PG_PREPARED_XACTS
- PG_PUBLICATION_TABLES
- PG_REPLICATION_ORIGIN_STATUS
- PG_REPLICATION_SLOTS
- PG_RLSPOLICIES
- PG_ROLES
- PG_RULES
- PG_RUNNING_XACTS
- PG_SECLABELS
- PG_SESSION_IOSTAT
- PG_SESSION_WLMSTAT
- PG_SETTINGS
- PG_SHADOW
- PG_STAT_ACTIVITY
- PG_STAT_ACTIVITY_NG
- PG_STAT_ALL_INDEXES
- PG_STAT_ALL_TABLES
- PG_STAT_BAD_BLOCK
- PG_STAT_BGWRITER
- PG_STAT_DATABASE
- PG_STAT_DATABASE_CONFLICTS
- PG_STAT_REPLICATION
- PG_STAT_SUBSCRIPTION
- PG_STAT_SYS_INDEXES
- PG_STAT_SYS_TABLES
- PG_STAT_USER_FUNCTIONS
- PG_STAT_USER_INDEXES
- PG_STAT_USER_TABLES
- PG_STAT_XACT_ALL_TABLES
- PG_STAT_XACT_SYS_TABLES
- PG_STAT_XACT_USER_FUNCTIONS
- PG_STAT_XACT_USER_TABLES
- PG_STATIO_ALL_INDEXES
- PG_STATIO_ALL_SEQUENCES
- PG_STATIO_ALL_TABLES
- PG_STATIO_SYS_INDEXES
- PG_STATIO_SYS_SEQUENCES
- PG_STATIO_SYS_TABLES
- PG_STATIO_USER_INDEXES
- PG_STATIO_USER_SEQUENCES
- PG_STATIO_USER_TABLES
- PG_STATS
- PG_TABLES
- PG_TDE_INFO
- PG_THREAD_WAIT_STATUS
- PG_TIMEZONE_ABBREVS
- PG_TIMEZONE_NAMES
- PG_TOTAL_MEMORY_DETAIL
- PG_TOTAL_USER_RESOURCE_INFO
- PG_TOTAL_USER_RESOURCE_INFO_OID
- PG_USER
- PG_USER_MAPPINGS
- PG_VARIABLE_INFO
- PG_VIEWS
- PG_WLM_STATISTICS
- PGXC_PREPARED_XACTS
- PLAN_TABLE
- PATCH_INFORMATION_TABLE
- Functions and Operators
- Logical Operators
- Comparison Operators
- Character Processing Functions and Operators
- Binary String Functions and Operators
- Bit String Functions and Operators
- Mode Matching Operators
- Mathematical Functions and Operators
- Date and Time Processing Functions and Operators
- Type Conversion Functions
- Geometric Functions and Operators
- Network Address Functions and Operators
- Text Search Functions and Operators
- JSON/JSONB Functions and Operators
- HLL Functions and Operators
- SEQUENCE Functions
- Array Functions and Operators
- Range Functions and Operators
- Aggregate Functions
- Window Functions(Analysis Functions)
- Security Functions
- Ledger Database Functions
- Encrypted Equality Functions
- Set Returning Functions
- Conditional Expression Functions
- System Information Functions
- System Administration Functions
- Configuration Settings Functions
- Universal File Access Functions
- Server Signal Functions
- Backup and Restoration Control Functions
- Snapshot Synchronization Functions
- Database Object Functions
- Advisory Lock Functions
- Logical Replication Functions
- Segment-Page Storage Functions
- Other Functions
- Undo System Functions
- Row-store Compression System Functions
- Statistics Information Functions
- Trigger Functions
- Event Trigger Functions
- Hash Function
- Prompt Message Function
- Global Temporary Table Functions
- Fault Injection System Function
- AI Feature Functions
- Dynamic Data Masking Functions
- Other System Functions
- Internal Functions
- Global SysCache Feature Functions
- Data Damage Detection and Repair Functions
- XML Functions
- Obsolete Functions
- Supported Data Types
- SQL Syntax
- ABORT
- ALTER AGGREGATE
- ALTER AUDIT POLICY
- ALTER DATABASE
- ALTER DATA SOURCE
- ALTER DEFAULT PRIVILEGES
- ALTER DIRECTORY
- ALTER EVENT
- ALTER EVENT TRIGGER
- ALTER EXTENSION
- ALTER FOREIGN DATA WRAPPER
- ALTER FOREIGN TABLE
- ALTER FUNCTION
- ALTER GLOBAL CONFIGURATION
- ALTER GROUP
- ALTER INDEX
- ALTER LANGUAGE
- ALTER LARGE OBJECT
- ALTER MASKING POLICY
- ALTER MATERIALIZED VIEW
- ALTER OPERATOR
- ALTER PACKAGE
- ALTER PROCEDURE
- ALTER PUBLICATION
- ALTER RESOURCE LABEL
- ALTER RESOURCE POOL
- ALTER ROLE
- ALTER ROW LEVEL SECURITY POLICY
- ALTER RULE
- ALTER SCHEMA
- ALTER SEQUENCE
- ALTER SERVER
- ALTER SESSION
- ALTER SUBSCRIPTION
- ALTER SYNONYM
- ALTER SYSTEM KILL SESSION
- ALTER SYSTEM SET
- ALTER TABLE
- ALTER TABLE PARTITION
- ALTER TABLE SUBPARTITION
- ALTER TABLESPACE
- ALTER TEXT SEARCH CONFIGURATION
- ALTER TEXT SEARCH DICTIONARY
- ALTER TRIGGER
- ALTER TYPE
- ALTER USER
- ALTER USER MAPPING
- ALTER VIEW
- ANALYZE | ANALYSE
- BEGIN
- CALL
- CHECKPOINT
- CLEAN CONNECTION
- CLOSE
- CLUSTER
- COMMENT
- COMMIT | END
- COMMIT PREPARED
- CONNECT BY
- COPY
- CREATE AGGREGATE
- CREATE AUDIT POLICY
- CREATE CAST
- CREATE CLIENT MASTER KEY
- CREATE COLUMN ENCRYPTION KEY
- CREATE DATABASE
- CREATE DATA SOURCE
- CREATE DIRECTORY
- CREATE EVENT
- CREATE EVENT TRIGGER
- CREATE EXTENSION
- CREATE FOREIGN DATA WRAPPER
- CREATE FOREIGN TABLE
- CREATE FUNCTION
- CREATE GROUP
- CREATE INCREMENTAL MATERIALIZED VIEW
- CREATE INDEX
- CREATE LANGUAGE
- CREATE MASKING POLICY
- CREATE MATERIALIZED VIEW
- CREATE MODEL
- CREATE OPERATOR
- CREATE PACKAGE
- CREATE PROCEDURE
- CREATE PUBLICATION
- CREATE RESOURCE LABEL
- CREATE RESOURCE POOL
- CREATE ROLE
- CREATE ROW LEVEL SECURITY POLICY
- CREATE RULE
- CREATE SCHEMA
- CREATE SEQUENCE
- CREATE SERVER
- CREATE SUBSCRIPTION
- CREATE SYNONYM
- CREATE TABLE
- CREATE TABLE AS
- CREATE TABLE PARTITION
- CREATE TABLESPACE
- CREATE TABLE SUBPARTITION
- CREATE TEXT SEARCH CONFIGURATION
- CREATE TEXT SEARCH DICTIONARY
- CREATE TRIGGER
- CREATE TYPE
- CREATE USER
- CREATE USER MAPPING
- CREATE VIEW
- CREATE WEAK PASSWORD DICTIONARY
- CURSOR
- DEALLOCATE
- DECLARE
- DELETE
- DELIMITER
- DO
- DROP AGGREGATE
- DROP AUDIT POLICY
- DROP CAST
- DROP CLIENT MASTER KEY
- DROP COLUMN ENCRYPTION KEY
- DROP DATABASE
- DROP DATA SOURCE
- DROP DIRECTORY
- DROP EVENT
- DROP EVENT TRIGGER
- DROP EXTENSION
- DROP FOREIGN DATA WRAPPER
- DROP FOREIGN TABLE
- DROP FUNCTION
- DROP GLOBAL CONFIGURATION
- DROP GROUP
- DROP INDEX
- DROP LANGUAGE
- DROP MASKING POLICY
- DROP MATERIALIZED VIEW
- DROP MODEL
- DROP OPERATOR
- DROP OWNED
- DROP PACKAGE
- DROP PROCEDURE
- DROP PUBLICATION
- DROP RESOURCE LABEL
- DROP RESOURCE POOL
- DROP ROLE
- DROP ROW LEVEL SECURITY POLICY
- DROP RULE
- DROP SCHEMA
- DROP SEQUENCE
- DROP SERVER
- DROP SUBSCRIPTION
- DROP SYNONYM
- DROP TABLE
- DROP TABLESPACE
- DROP TEXT SEARCH CONFIGURATION
- DROP TEXT SEARCH DICTIONARY
- DROP TRIGGER
- DROP TYPE
- DROP USER
- DROP USER MAPPING
- DROP VIEW
- DROP WEAK PASSWORD DICTIONARY
- EXECUTE
- EXECUTE DIRECT
- EXPLAIN
- EXPLAIN PLAN
- FETCH
- GRANT
- INSERT
- LOCK
- MERGE INTO
- MOVE
- PREDICT BY
- PREPARE
- PREPARE TRANSACTION
- PURGE
- REASSIGN OWNED
- REFRESH INCREMENTAL MATERIALIZED VIEW
- REFRESH MATERIALIZED VIEW
- REINDEX
- RELEASE SAVEPOINT
- RESET
- REVOKE
- ROLLBACK
- ROLLBACK PREPARED
- ROLLBACK TO SAVEPOINT
- SAVEPOINT
- SELECT
- SELECT INTO
- SET
- SET CONSTRAINTS
- SET ROLE
- SET SESSION AUTHORIZATION
- SET TRANSACTION
- SHOW
- SHOW EVENTS
- SHRINK
- SHUTDOWN
- SNAPSHOT
- START TRANSACTION
- TIMECAPSULE TABLE
- TRUNCATE
- UPDATE
- VACUUM
- VALUES
- SQL Reference
- MogDB SQL
- Keywords
- Constant and Macro
- Expressions
- Type Conversion
- Full Text Search
- System Operation
- DDL Syntax Overview
- DML Syntax Overview
- DCL Syntax Overview
- Subquery
- LLVM
- Alias
- Lock
- Transaction
- Ordinary Table
- Partitioned Table
- Index
- Constraints
- Cursors
- Anonymous Block
- Trigger
- INSERT_RIGHT_REF_DEFAULT_VALUE
- Appendix
- GUC Parameters
- GUC Parameter Usage
- GUC Parameter List
- File Location
- Connection and Authentication
- Resource Consumption
- Write Ahead Log
- HA Replication
- Query Planning
- Error Reporting and Logging
- Alarm Detection
- Statistics During the Database Running
- Load Management
- Automatic Vacuuming
- Default Settings of Client Connection
- Lock Management
- Version and Platform Compatibility
- Faut Tolerance
- Connection Pool Parameters
- MogDB Transaction
- Replication Parameters of Two Database Instances
- Developer Options
- Auditing
- CM Parameters
- Backend Compression
- Upgrade Parameters
- Miscellaneous Parameters
- Wait Events
- Query
- System Performance Snapshot
- Security Configuration
- Global Temporary Table
- HyperLogLog
- Scheduled Task
- Thread Pool
- User-defined Functions
- Backup and Restoration
- DCF Parameters Settings
- Flashback
- Rollback Parameters
- Reserved Parameters
- AI Features
- Global SysCache Parameters
- Multi-Level Cache Management Parameters
- Resource Pooling Parameters
- Parameters Related to Efficient Data Compression Algorithms
- Writer Statement Parameters Supported by Standby Servers
- Data Import and Export
- Delimiter
- Appendix
- Schema
- Information Schema
- DBE_PERF
- OS
- Instance
- Memory
- File
- Object
- STAT_USER_TABLES
- SUMMARY_STAT_USER_TABLES
- GLOBAL_STAT_USER_TABLES
- STAT_USER_INDEXES
- SUMMARY_STAT_USER_INDEXES
- GLOBAL_STAT_USER_INDEXES
- STAT_SYS_TABLES
- SUMMARY_STAT_SYS_TABLES
- GLOBAL_STAT_SYS_TABLES
- STAT_SYS_INDEXES
- SUMMARY_STAT_SYS_INDEXES
- GLOBAL_STAT_SYS_INDEXES
- STAT_ALL_TABLES
- SUMMARY_STAT_ALL_TABLES
- GLOBAL_STAT_ALL_TABLES
- STAT_ALL_INDEXES
- SUMMARY_STAT_ALL_INDEXES
- GLOBAL_STAT_ALL_INDEXES
- STAT_DATABASE
- SUMMARY_STAT_DATABASE
- GLOBAL_STAT_DATABASE
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JSON-JSONB Functions and Operators
New JSON Functions
-
json_array([val[, val] …])
Description: Inputs variable-length parameters and outputs a JSON array.
Return type: array-json
Example:
MogDB=# select json_array(1,'a','b',true,null); json_array --------------------------- [1, "a", "b", true, null] (1 row)
-
json_object([VARIADIC “any”])
Description: Inputs parameters with
key
andvalue
that appear alternately. Constructs a JSON object from a variable parameter list. Before using the JSON object, set the GUC parameter b_compatibility_mode to 1.Return type: json
Remarks:
- All keys in a JSON object are character strings. Therefore,
JSON_OBJECT()
convertskeys
that are not of the character string type to the character string type. To ensure program stability,keys
of the string type are used. - The
key
cannot be NULL, and the number of input parameters must be an even number.
Example:
MogDB=# SET b_compatibility_mode = 1; MogDB=# SELECT JSON_OBJECT( MogDB(# 'name', MogDB(# 'Tim', MogDB(# 'age', MogDB(# 20, MogDB(# 'friend', MogDB(# JSON_OBJECT('name', 'Jim', 'age', 20), MogDB(# 'hobby', MogDB(# JSON_BUILD_ARRAY('games', 'sports') MogDB(# ) AS object; object ------------------------------------------------------------------------------------------------------ {"age" : 20, "name" : "Tim", "hobby" : ["games", "sports"], "friend" : {"age" : 20, "name" : "Jim"}} (1 row) MogDB=# SET b_compatibility_mode = 0; MogDB=# select json_object('{a,b,"a b c"}', '{a,1,1}'); json_object --------------------------------------- {"a" : "a", "b" : "1", "a b c" : "1"} (1 row)
- All keys in a JSON object are character strings. Therefore,
-
json_quote(string)
Description: Inputs a character string, outputs a JSON file, and quotes the file with double quotation marks.
Return type: json
Example:
MogDB=# select json_quote('gauss'); json_quote ------------ "gauss" (1 row)
-
json_contains(json, json[, text])
Description: The third optional parameter is the
path
of the first JSON parameter. It determines whether the first JSON parameter contains the second JSON parameter.Return type: Boolean
Remarks:
- If any parameter is NULL, the function returns NULL.
- If the
path
does not exist in JSON, the function returnsNULL
.
Example:
MogDB=# select json_contains('[1,2,3,4,5]','[3,5]'); json_contains --------------- t (1 row) MogDB=# select json_contains('[1,2,3,4,5]','6'); json_contains --------------- f (1 row) MogDB=# select json_contains('{"a":[null,true,false]}','{"a":false}'); json_contains --------------- t (1 row) MogDB=# select json_contains('{"a":[1,2,3]}','3'); json_contains --------------- f (1 row) MogDB=# select json_contains('{"a":[1,2,3]}','3','$.a'); json_contains --------------- t (1 row) MogDB=# select json_contains('{"a":[1,2,3]}','3','$.b'); json_contains --------------- (1 row)
-
json_contains_path(json, text, text[])
Description: Determines whether the target JSON parameter contains the input
path
parameter. The second parameter is used to select a mode.Return type: Boolean
Remarks:
-
The second parameter can be
one
orall
.one
indicates thattrue
is returned as long as onepath
exists. Otherwise,false
is returned.all
indicates thattrue
is returned only when allpaths
exist. Otherwise,false
is returned. -
If the first and second parameters are
NULL
, the function returns NULL. -
If the mode is
one
,paths
are checked in sequence. If a NULLpath
is prior to any existingpath
, NULL is returned.If the mode is
all
,paths
are checked in sequence. If a NULLpath
is prior to anypath
that does not exist, the function returns NULL.
Example:
MogDB=# select json_contains_path('{"a": 1, "b": 2, "c": {"d": 4}}', 'one', '$.a', '$.e'); json_contains_path -------------------- t (1 row) MogDB=# select json_contains_path('{"a": 1, "b": 2, "c": {"d": 4}}', 'all', '$.a', '$.b','$."c".d'); json_contains_path -------------------- t (1 row) MogDB=# select json_contains_path('{"a": 1, "b": 2, "c": {"d": [3,4,5]}}', 'one', '$.c.d[3]'); json_contains_path -------------------- f (1 row) MogDB=# select json_contains_path('{"a": 1, "b": 2, "c": {"d": 4}}', 'all', '$.a.d'); json_contains_path -------------------- f (1 row) MogDB=# select json_contains_path('[1,2,3]',null,'$[0]'); json_contains_path -------------------- (1 row) MogDB=# select json_contains_path('[1,2,3]','one','$[0]',null,'$[1]'); json_contains_path -------------------- t (1 row) MogDB=# select json_contains_path('[1,2,3]','one','$[3]',null,'$[1]'); json_contains_path -------------------- (1 row) MogDB=# select json_contains_path('[1,2,3]','all','$[0]',null,'$[1]'); json_contains_path -------------------- (1 row) MogDB=# select json_contains_path('[1,2,3]','all','$[3]',null,'$[1]'); json_contains_path -------------------- f (1 row)
-
-
json_extract(json, VARIADIC text[])
Description: Extracts the data specified by the path expression from a JSON file and returns the data.
Return type: json
Example:
MogDB=# select json_extract('{"f2":{"f3":1},"f4":{"f5":99,"f6":"stringy"}}', '$.f4.f6'); json_extract -------------- "stringy" (1 row)
-
json_unquote(json_val)
Description: Removes quotation marks from text, processes escape characters, or discards quotation marks in JSON values.
Return type: text
Example:
MogDB=# select json_unquote('"dajifa\\tIMIDF"'); json_unquote --------------- dajifa IMIDF (1 row)
-
json_unquote(json_extract(column, path))
Description: Removes quotation marks from text, processes escape characters, or discards quotation marks in JSON values.
Return type: text
Example:
MogDB=# select json_unquote(json_extract('{"a": "lihua"}', '$.a')); json_unquote -------------- lihua (1 row)
-
json_keys(json_doc[, path])
Description: Returns the key in the top-level value of a JSON object as a JSON array. If a path parameter is given, the top-level key of the JSON object indicated by the path is returned.
Return type: json
Example:
MogDB=# SELECT JSON_KEYS('{"a":123,"b":{"c":"qwe"}}'); json_keys ----------- ["a","b"] (1 row)
-
json_search(json_doc, one_or_all, search_str [, escape_char [, path] …])
Description: One or more path parameters can be input. The location of the target character string in the target file corresponding to the path is returned based on the escape character and
one_or_all
mode.Return type: text
Remarks:
- If the escape character is of the Boolean type, it is equivalent to NULL. By default, the backslash () is the escape character. You can enter a single-digit integer as the escape character.
- The target JSON file and target character string cannot be empty, and the path cannot be empty. If the path does not exist, an empty value is returned.
- The value of
one_or_all
can only beone
orall
. - You can enter an integer, floating point, or Boolean value in
search_str
for matching. However, only character strings in the target file can be matched. - Fuzzy match can be used for
search_str
, and wildcard characters can be used for matching inpath
.
Example:
select json_search('"abc"','one','abc',true); json_search ------------- "$" (1 row) select json_search('"a%c"','all','a1%c',1); json_search ------------- "$" (1 row) select json_search('"abc"','one','abc','&','$',null); json_search ------------- (1 row) select json_search('"1.2"','one',1.2); json_search ------------- "$" (1 row) select json_search('{"a":[{"b":["abc","abc"]},"ac"],"c":["abbc","abcc"]}','all','a%c',null,'$.*[*]'); json_search ---------------------------------------------------------- ["$.a[0].b[0]","$.a[0].b[1]","$.a[1]","$.c[0]","$.c[1]"] (1 row) select json_search(''{"a":[{"b":["abc","abc"]},"ac"],"c":["abbc","abcc"]}','all','a%c',null,'$**[1]'); json_search ----------------------------------- ["$.a[0].b[1]","$.a[1]","$.c[1]"] (1 row)
-
json_array_append(json, path, value[, path2, value2] …)
Description: Modifies a JSON document, appends an element to a specified array node, and returns the modified JSON document.
Return type: json
MogDB=# select JSON_ARRAY_APPEND('{"name": "Tim", "hobby": "car"}', '$.name', 'food'); json_array_append ------------------------------------------- {"name": ["Tim", "food"], "hobby": "car"} (1 row)
-
json_append(json_doc, path, val[, path, val] …) Description: The function is the same as that of the
json_array_append
function.Return type: json
Note: The
json_append()
function may be deleted in later versions. You are advised to use thejson_array_append
function. Example:MogDB=# select JSON_ARRAY_APPEND('{"name": "Tim", "hobby": "car"}', '$.name', 'food'); json_array_append ------------------------------------------- {"name": ["Tim", "food"], "hobby": "car"} (1 row)
-
json_array_insert(json, path, value[, path2, value2] …)
Description: This function is used to modify a JSON document. It inserts a value into a specified position in a specified array in the JSON document and returns a new JSON document.
Return type: json
Remarks:
- If the array element indicated by the path expression exceeds the length of the array, the new element is inserted at the end of the array.
- If the JSON document or path is NULL, this function returns NULL.
Example:
select json_array_insert('[1, [2, 3], {"a": [4, 5]}]', '$[0]', 0); json_array_insert ------------------------------- [0, 1, [2, 3], {"a": [4, 5]}] (1 row) select json_array_insert('[1, [2, 3], {"a": [4, 5]}]', '$[9]', 4); json_array_insert ------------------------------- [1, [2, 3], {"a": [4, 5]}, 4] (1 row)
-
json_insert(VARIADIC “any”)
Description: Inserts data into a JSON document and returns a new JSON document.
Return type: json
Remarks: When the JSON document or
path
is empty, an empty value is returned.Example:
MogDB=# select json_extract('{"x": 1}','$.y', true); json_extract ---------------------------- {"x": 1, "y": true} (1 row)
-
json_merge(json_doc, json_doc[, json_doc] …)
Description: The function is the same as that of the
json_merge_preserve
function.Return type: json
Note: The
JSON_MERGE()
function may be deleted in later versions. You are advised to use thejson_merge_preserve
function.Example:
MogDB=# select json_merge('"MogDB"', '[[1,2],3,"test"]'); json_merge ---------------------------------- ["MogDB", [1, 2], 3, "test"] (1 row)
-
json_merge_preserve(json_doc, json_doc[, json_doc] …)
Description: Combines two or more JSON files with the same key-value into one array.
Return type: json
Remarks:
- If the value of any parameter is NULL, NULL is returned.
- Merging specifications:
- If one of the two adjacent JSON parameters is a
scalar
or object and the other is an array, thescalar
or object is added to an array parameter as an array element based on the parameter sequence to combine the scalar or object into a single array. - If two adjacent JSON parameters are both
scalars
or objects, combinescalars
or objects into a single array based on the parameter sequence. - If two adjacent JSON parameters are both arrays, combine elements of two arrays into a single array based on the parameter sequence.
- If two adjacent JSON parameters are both objects, combine the members of two objects into a single object based on the
key
sequence. - The returned values of object members after JSON combination comply with the
key
sequence.
- If one of the two adjacent JSON parameters is a
Example:
MogDB=# select json_merge_preserve('{"a":"abc"}', '[1,true,null]'); json_merge_preserve ------------------------------- [{"a": "abc"}, 1, true, null] (1 row) MogDB=# select json_merge_preserve('1', '"b"', 'true'); json_merge_preserve --------------------- [1, "b", true] (1 row) MogDB=# select json_merge_preserve('[1,{"a":"abc"}]', '["b",false]'); json_merge_preserve ------------------------------- [1, {"a": "abc"}, "b", false] (1 row) MogDB=# select json_merge_preserve('{"b":"abc"}', '{"a":"jks"}'); json_merge_preserve -------------------------- {"a": "jks", "b": "abc"} (1 row) MogDB=# select json_merge_preserve(NULL, '1'); json_merge_preserve --------------------- (1 row)
-
json_merge_patch(json_doc, json_doc[, json_doc] …)
Description: Combines two or more JSON objects and retains the JSON object key members of the same key value.
Return type: json
Remarks:
- If any parameter is NULL, the merge result of the previous parameter and this parameter is NULL.
- If the parameter following the NULL parameter is not NULL:
- The following parameters are arrays and scalar. The merge result is the following parameters.
- The following parameters are objects, and the merge result is NULL.
- Merging specifications:
- If two adjacent JSON parameters are objects, the combination result is a single object.
- If a member key of a JSON object is not duplicate in another JSON object, the member is retained in the merge result.
- If a member key of a JSON object is duplicate in the next JSON object, the duplicate key member in the latter JSON object is retained in the merge result. In particular, when the
value
of the object member corresponding to the next same key is NULL, the key member is deleted from the result.
- If one of the two adjacent JSON parameters is not an object, the merge result is the second JSON parameter.
- If any parameter is NULL, the merge result of the previous parameter and this parameter is NULL.
- If the parameter following the NULL parameter is not NULL:
- The latter parameter is an array or
scalar
. The merge result is the latter parameter itself. - The latter parameter is an object. The merge result is NULL.
- The latter parameter is an array or
- If two adjacent JSON parameters are objects, the combination result is a single object.
Example:
MogDB=# select json_merge_patch('{"a":1}', '{"b":2}'); json_merge_patch ------------------ {"a": 1, "b": 2} (1 row) MogDB=# select json_merge_patch('{"a":1}', '{"a":2}'); json_merge_patch ------------------ {"a": 2} (1 row) MogDB=# select json_merge_patch('{"a":{"b":"abc"}}', '{"a":{"b":null}}'); json_merge_patch ------------------ {"a": {}} (1 row) MogDB=# select json_merge_patch('{"a":1}', 'true'); json_merge_patch ------------------ true (1 row) MogDB=# select json_merge_patch('{"a":1}', NULL); json_merge_patch ------------------ (1 row) MogDB=# select json_merge_patch(NULL, '{"a":1}'); json_merge_patch ------------------ (1 row) MogDB=# select json_merge_patch(NULL, '[1,2,3]'); json_merge_patch ------------------ [1, 2, 3] (1 row)
-
json_remove(json, path[, path] …)
Description: Deletes the JSON object specified by the path from a JSON document and returns the modified JSON document.
Return type: json
Remarks:
- Multiple path expressions can be provided for deletion through parameters. Multiple path parameters are executed from left to right. When the next parameter is executed, the JSON document may have changed.
- If the specified path does not exist in JSON, this function returns the original document.
- If the JSON document or path is NULL, this function returns NULL.
Example:
SELECT JSON_REMOVE('[0, 1, 2, [3, 4]]', '$[0]', '$[2]'); json_remove ------------- [1, 2] (1 row) SELECT JSON_REMOVE('{"x": 1, "y": 2}', '$.x'); json_remove ------------- {"y": 2} (1 row) SELECT JSON_REMOVE('{"x": {"z":2,"a":3}, "y": 2}', NULL); json_remove ------------- (1 row) SELECT JSON_REMOVE(NULL, '$.x.z'); json_remove ------------- (1 row)
-
json_replace([VARIADIC “any”])
Description: Replaces existing data in a JSON document and returns a new JSON document. The first parameter is a JSON document, followed by an alternate path and replacement value.
Return type: json
Example:
MogDB=# select json_replace('{"a": 1, "b": 2, "c": 3}', '$.b', 9); json_replace ------------------- {"a": 1, "b": 9, "c": 3} (1 row)
-
json_set(json_doc, path, val[, path, val] …))
Description: Enters the JSON file, path, and key value to replace the key value corresponding to the existing path in the JSON file. For a new path, inserts the corresponding key value.
Return type: json
Example:
MogDB=# select json_set('{"student":{"id":1,"gender":"man"}}','$.age',23,'$.student.id',3); json_set ---------------------------------------------- {"age":23,"student":{"id":3,"gender":"man"}} (1 row)
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json_depth(json)
Description: Returns the maximum depth of a JSON document.
Return type: integer
Remarks:
- The depth of an empty array, empty object, or scalar value is 1.
- Only arrays whose depth is 1 or objects whose depth is 2 are contained.
- The maximum depth of a JSON node is equal to the maximum depth of all its subnodes.
Example:
MogDB=# SELECT JSON_DEPTH('{}'), JSON_DEPTH('[]'), JSON_DEPTH('true'); json_depth | json_depth | json_depth ------------+------------+------------ 1 | 1 | 1 (1 row) MogDB=# SELECT JSON_DEPTH('[10, 20]'), JSON_DEPTH('[[], {}]'); json_depth | json_depth ------------+------------ 2 | 2 (1 row) MogDB=# SELECT JSON_DEPTH('[10, {"a": 20}]'); json_depth ------------ 3 (1 row)