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ByteHouse Enterprise Edition
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ByteHouse Enterprise Edition
ByteHouse Enterprise Edition
Document
What's new
Release Notes
Console release notes
Engine release notes
Product announcement
ByteHouse Enterprise Edition cluster specification adjustment announcement
Billing
Billing method
Pricing Rules
Change Specification Billing Description
Tag-based cost allocation
Quick start
User guide
Cluster Management
Create a cluster
Modify cluster
Cluster configuration change
Add extra bandwidth
cluster configuration
Modify configuration parameters
Resource group management
Resource Group Overview
Create New Resource Group
Manage Resource Groups
Data Backup
Connect cluster
Get cluster connection information
Search Gateway
Use CLI tools
ByteHouse Client
Use ecosystem tools
DataGrip
DBeaver
Metabase
Apache Superset
Tableau
Use a driver
Python Driver
ClickHouse JDBC Driver
ClickHouse Go Driver
PHP Driver
Flink Connector
Spark Connector
MySQL SQLAlchemy Conncetor
Data Manage
New database/table
Create databases or tables based on DDL templates
Edit table
Manage UDF
Manage abnormal table status
Table Advanced Settings
Skip index
Table Creation Mode
Hot and cold tiered storage
Unique key table cold storage deduplication
TTL
New materialized view
Sync materialized views
Materialized view best practices
Data import/export
Introduction
Batch import
Import from small files
Data search
SQL history
Operation and maintenance monitoring
View task status
Cluster health
Data redistribution
Advanced Diagnosis Mode
Alarm
Use SDK to search ByteHouse monitor data
Access control
Access control model
Role Management
IAM sub-user management
Intelligent Assistant
Intelligent assistant
SRE Agent
Basic concepts
Development references
SQL reference
Compatibility Note
ANSI Compatibility
MySQL Compatibility
Data type
Common Data Types
BitEngine
BitMap64
MAP Type
Integer types: UInt8, UInt16, UInt32, UInt64, UInt128, UInt256, Int8, Int16, Int32, Int64, Int128, Int256
Floating-point numbers: Float32, Float64
Fixed-point types: Decimal(P,S), Decimal32(S), Decimal64(S), Decimal128(S)
Date
DateTime Options Type DateTime64
String type: String, FixedString
Geospatial (Geo) Data Type
Array(T)
UUID
Can be null: Nullable
Tuple Type
bool
Input/Output Formats
SQL syntax
DDL
Create statements (CREATE)
Alter statements (ALTER)
Rename statement (RENAME)
Drop statement
SHOW statement (SHOW)
The DESCRIBE statement (DESCRIBE)
The ATTACH statement (ATTACH)
Detach statement (DETACH)
Use statement (USE)
The EXISTS statement (EXISTS)
DML
Insert statement (INSERT)
Update statement (UPDATE)
Delete statements (DELETE)
DQL
SELECT statements (SELECT)
Function
Recommend functions
Arithmetic functions
Array functions
arrayJoin function
BitEngine function
Bit & Bitmap Functions
Comparison function
Condition function
Time and Date Functions
Encoding function
Dictionary function
Nullable function
Geographic function
Map function (self-developed)
Hash function
Higher-order function
IP & URL Function
JSON Functions
Logical function
Machine learning function
Mathematical functions
Random function
Integer Function
Character function
Type conversion function
IN Operator function
UUID Function
URL Function
Other functions
Aggregate function
ANY
argMax/argMin
Min/Max
AVG
Count
corr
covarSamp
covarPop
deltaSum
groupArray
groupUniqArray
Quantile
Sum
TopK
Uniq
groupUniqArray
groupArrayMovingAvg
groupArrayMovingSum
groupArraySample
groupBitAnd
groupBitmap
groupBitmapAnd
groupBitmapOr
groupBitmapXor
groupBitOr
groupBitXor
initializeAggregation
kurtpop
kurtsamp
mannwhitneyutest
maxmap
median
minmap
rankCorr
simplelinearregression
skewpop
skewsamp
stddevpop
stddevsamp
stochasticlinearregression
stochasticlogisticregression
studentttest
summap
varpop
welchttest
varsamp
Recommend functions
Window function
Table function
file
generate
hdfs
input
jdbc
merge
mysql
numbers
odbc
postgresql
remote
S3
url
cluster
dictionary
null
Operator
IN Operator
Behavior analysis-specific function
Overview
Retention Analysis Function
Funnel analysis function
Path analysis function
table engine
MergeTree
HaMergeTree
HaUniqueMergeTree
Distributed
appearance
HaKafka
S3 Appearance
HDFS External Table
MySQL External Table
Hive External Tables
Paimon's Appearance
Iceberg External Table
Advanced features
GIS Spatiotemporal Analysis
Feature Intro
Activate Service
Instructions
Vector Search
Overview
Pass SQL use vector <Search
Activate Vector Search Service
Use vector search via the Python API
Full-text search
Activate Service
Instructions
API Reference
Role Management
ShowPrivilegesForRole - Get Role privileges
Update Grants For Role - Update Role privilege
Delete Role - Delete role
ListGrantUsersForRole - Get the user list associated with the role
AssignRole - Assign Roles
UnassignRole - Revoke Role
ListRoles - List of roles
Create Role - Create Gamerole
User Management
ShowRolesForUser - Get List of User Roles
UpdateGrantsForUser - Update User Authorize
GetUserDetail - Search User details
GetUserInitialPassword - Get User Initial Password
RevokePrivilegesForUserByID - Revoke user privileges by User ID
GrantPrivilegesToUserByID - Grant User privileges by User ID
ShowPrivilegesForUserByID - Get privilege by User ID
RevokePrivilegesFromUserByName - Revoke User Privileges by Username
GrantPrivilegesToUserByName - Grant user privileges by Username
Delete User - Delete user
UpdateUser - Update User
ShowPrivilegesForUserByName - Get privilege by username
ListUsers - User list
ResetUserPassword - Reset User Password
Manage clusters
ListClusters - Cluster List
Table management
CreateTable - Create Table
System tables
query_log
parts
part_log
parts_columns
metrics
merges
BitEngine
tables
processes
projection_parts
projection_parts_columns
ha_replicas
ha_queue
resource_groups
workloads
distribution_queue
view_tables
Best practices
Distributed Table Practice Guide
Optimizer
Best Practice: Avoid Read-Write Inconsistencies
Best Practice: Kafka Deduplication Import into ByteHouse
ByteHouse High-Performance Vector Retrieval Technology Guide
Best practice: Workarounds for table state exceptions
Best Practice: ByteHouse Column Default Values
Select the use of columns with low cardinality as partition keys
Performance Analysis: Memory Usage
Disk Space Analysis in Performance Diagnosis
Performance Diagnosis: Query Log Analysis
Vector search best practices
ByteHouse + MCP + LLM build data analysis agent
Best practices for high-concurrency point query optimization in ByteHouse
ByteHouse capacity planning
FAQs
SQL FAQ
Data Management FAQ
Data query window
Pre-processing Query
Product overview
Product limitations
Product overview
Architecture overview
Documentation
ByteHouse Enterprise Edition
Development references
SQL reference
Function
Recommend functions
IN Operator function
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Recommend functions
IN Operator function
Copy page
Download PDF
IN Operator function
in,notIn,globalIn,globalNotIn
#
See the
IN Operator Part
.
Last updated: 2026.03.31 11:49:59