- Docs Home
- About TiDB
- Quick Start
- Develop
- Overview
- Quick Start
- Build a TiDB Cluster in TiDB Cloud (Developer Tier)
- CRUD SQL in TiDB
- Build a Simple CRUD App with TiDB
- Example Applications
- Connect to TiDB
- Design Database Schema
- Write Data
- Read Data
- Transaction
- Optimize
- Troubleshoot
- Reference
- Cloud Native Development Environment
- Third-party Support
- Deploy
- Software and Hardware Requirements
- Environment Configuration Checklist
- Plan Cluster Topology
- Install and Start
- Verify Cluster Status
- Test Cluster Performance
- Migrate
- Overview
- Migration Tools
- Migration Scenarios
- Migrate from Aurora
- Migrate MySQL of Small Datasets
- Migrate MySQL of Large Datasets
- Migrate and Merge MySQL Shards of Small Datasets
- Migrate and Merge MySQL Shards of Large Datasets
- Migrate from CSV Files
- Migrate from SQL Files
- Migrate from One TiDB Cluster to Another TiDB Cluster
- Migrate from TiDB to MySQL-compatible Databases
- Advanced Migration
- Integrate
- Maintain
- Monitor and Alert
- Troubleshoot
- TiDB Troubleshooting Map
- Identify Slow Queries
- Analyze Slow Queries
- SQL Diagnostics
- Identify Expensive Queries Using Top SQL
- Identify Expensive Queries Using Logs
- Statement Summary Tables
- Troubleshoot Hotspot Issues
- Troubleshoot Increased Read and Write Latency
- Save and Restore the On-Site Information of a Cluster
- Troubleshoot Cluster Setup
- Troubleshoot High Disk I/O Usage
- Troubleshoot Lock Conflicts
- Troubleshoot TiFlash
- Troubleshoot Write Conflicts in Optimistic Transactions
- Troubleshoot Inconsistency Between Data and Indexes
- Performance Tuning
- Tuning Guide
- Configuration Tuning
- System Tuning
- Software Tuning
- SQL Tuning
- Overview
- Understanding the Query Execution Plan
- SQL Optimization Process
- Overview
- Logic Optimization
- Physical Optimization
- Prepare Execution Plan Cache
- Control Execution Plans
- Tutorials
- TiDB Tools
- Overview
- Use Cases
- Download
- TiUP
- Documentation Map
- Overview
- Terminology and Concepts
- Manage TiUP Components
- FAQ
- Troubleshooting Guide
- Command Reference
- Overview
- TiUP Commands
- TiUP Cluster Commands
- Overview
- tiup cluster audit
- tiup cluster check
- tiup cluster clean
- tiup cluster deploy
- tiup cluster destroy
- tiup cluster disable
- tiup cluster display
- tiup cluster edit-config
- tiup cluster enable
- tiup cluster help
- tiup cluster import
- tiup cluster list
- tiup cluster patch
- tiup cluster prune
- tiup cluster reload
- tiup cluster rename
- tiup cluster replay
- tiup cluster restart
- tiup cluster scale-in
- tiup cluster scale-out
- tiup cluster start
- tiup cluster stop
- tiup cluster template
- tiup cluster upgrade
- TiUP DM Commands
- Overview
- tiup dm audit
- tiup dm deploy
- tiup dm destroy
- tiup dm disable
- tiup dm display
- tiup dm edit-config
- tiup dm enable
- tiup dm help
- tiup dm import
- tiup dm list
- tiup dm patch
- tiup dm prune
- tiup dm reload
- tiup dm replay
- tiup dm restart
- tiup dm scale-in
- tiup dm scale-out
- tiup dm start
- tiup dm stop
- tiup dm template
- tiup dm upgrade
- TiDB Cluster Topology Reference
- DM Cluster Topology Reference
- Mirror Reference Guide
- TiUP Components
- PingCAP Clinic Diagnostic Service
- TiDB Operator
- Dumpling
- TiDB Lightning
- TiDB Data Migration
- About TiDB Data Migration
- Architecture
- Quick Start
- Deploy a DM cluster
- Tutorials
- Advanced Tutorials
- Maintain
- Cluster Upgrade
- Tools
- Performance Tuning
- Manage Data Sources
- Manage Tasks
- Export and Import Data Sources and Task Configurations of Clusters
- Handle Alerts
- Daily Check
- Reference
- Architecture
- Command Line
- Configuration Files
- OpenAPI
- Compatibility Catalog
- Secure
- Monitoring and Alerts
- Error Codes
- Glossary
- Example
- Troubleshoot
- Release Notes
- Backup & Restore (BR)
- TiDB Binlog
- TiCDC
- Dumpling
- sync-diff-inspector
- TiSpark
- Reference
- Cluster Architecture
- Key Monitoring Metrics
- Secure
- Privileges
- SQL
- SQL Language Structure and Syntax
- SQL Statements
ADD COLUMNADD INDEXADMINADMIN CANCEL DDLADMIN CHECKSUM TABLEADMIN CHECK [TABLE|INDEX]ADMIN SHOW DDL [JOBS|QUERIES]ADMIN SHOW TELEMETRYALTER DATABASEALTER INDEXALTER INSTANCEALTER PLACEMENT POLICYALTER TABLEALTER TABLE COMPACTALTER USERANALYZE TABLEBACKUPBATCHBEGINCHANGE COLUMNCOMMITCHANGE DRAINERCHANGE PUMPCREATE [GLOBAL|SESSION] BINDINGCREATE DATABASECREATE INDEXCREATE PLACEMENT POLICYCREATE ROLECREATE SEQUENCECREATE TABLE LIKECREATE TABLECREATE USERCREATE VIEWDEALLOCATEDELETEDESCDESCRIBEDODROP [GLOBAL|SESSION] BINDINGDROP COLUMNDROP DATABASEDROP INDEXDROP PLACEMENT POLICYDROP ROLEDROP SEQUENCEDROP STATSDROP TABLEDROP USERDROP VIEWEXECUTEEXPLAIN ANALYZEEXPLAINFLASHBACK TABLEFLUSH PRIVILEGESFLUSH STATUSFLUSH TABLESGRANT <privileges>GRANT <role>INSERTKILL [TIDB]LOAD DATALOAD STATSMODIFY COLUMNPREPARERECOVER TABLERENAME INDEXRENAME TABLEREPLACERESTOREREVOKE <privileges>REVOKE <role>ROLLBACKSELECTSET DEFAULT ROLESET [NAMES|CHARACTER SET]SET PASSWORDSET ROLESET TRANSACTIONSET [GLOBAL|SESSION] <variable>SHOW ANALYZE STATUSSHOW [BACKUPS|RESTORES]SHOW [GLOBAL|SESSION] BINDINGSSHOW BUILTINSSHOW CHARACTER SETSHOW COLLATIONSHOW [FULL] COLUMNS FROMSHOW CONFIGSHOW CREATE PLACEMENT POLICYSHOW CREATE SEQUENCESHOW CREATE TABLESHOW CREATE USERSHOW DATABASESSHOW DRAINER STATUSSHOW ENGINESSHOW ERRORSSHOW [FULL] FIELDS FROMSHOW GRANTSSHOW INDEX [FROM|IN]SHOW INDEXES [FROM|IN]SHOW KEYS [FROM|IN]SHOW MASTER STATUSSHOW PLACEMENTSHOW PLACEMENT FORSHOW PLACEMENT LABELSSHOW PLUGINSSHOW PRIVILEGESSHOW [FULL] PROCESSSLISTSHOW PROFILESSHOW PUMP STATUSSHOW SCHEMASSHOW STATS_HEALTHYSHOW STATS_HISTOGRAMSSHOW STATS_METASHOW STATUSSHOW TABLE NEXT_ROW_IDSHOW TABLE REGIONSSHOW TABLE STATUSSHOW [FULL] TABLESSHOW [GLOBAL|SESSION] VARIABLESSHOW WARNINGSSHUTDOWNSPLIT REGIONSTART TRANSACTIONTABLETRACETRUNCATEUPDATEUSEWITH
- Data Types
- Functions and Operators
- Overview
- Type Conversion in Expression Evaluation
- Operators
- Control Flow Functions
- String Functions
- Numeric Functions and Operators
- Date and Time Functions
- Bit Functions and Operators
- Cast Functions and Operators
- Encryption and Compression Functions
- Locking Functions
- Information Functions
- JSON Functions
- Aggregate (GROUP BY) Functions
- Window Functions
- Miscellaneous Functions
- Precision Math
- Set Operations
- List of Expressions for Pushdown
- TiDB Specific Functions
- Clustered Indexes
- Constraints
- Generated Columns
- SQL Mode
- Table Attributes
- Transactions
- Garbage Collection (GC)
- Views
- Partitioning
- Temporary Tables
- Cached Tables
- Character Set and Collation
- Placement Rules in SQL
- System Tables
mysql- INFORMATION_SCHEMA
- Overview
ANALYZE_STATUSCLIENT_ERRORS_SUMMARY_BY_HOSTCLIENT_ERRORS_SUMMARY_BY_USERCLIENT_ERRORS_SUMMARY_GLOBALCHARACTER_SETSCLUSTER_CONFIGCLUSTER_HARDWARECLUSTER_INFOCLUSTER_LOADCLUSTER_LOGCLUSTER_SYSTEMINFOCOLLATIONSCOLLATION_CHARACTER_SET_APPLICABILITYCOLUMNSDATA_LOCK_WAITSDDL_JOBSDEADLOCKSENGINESINSPECTION_RESULTINSPECTION_RULESINSPECTION_SUMMARYKEY_COLUMN_USAGEMETRICS_SUMMARYMETRICS_TABLESPARTITIONSPLACEMENT_POLICIESPROCESSLISTREFERENTIAL_CONSTRAINTSSCHEMATASEQUENCESSESSION_VARIABLESSLOW_QUERYSTATISTICSTABLESTABLE_CONSTRAINTSTABLE_STORAGE_STATSTIDB_HOT_REGIONSTIDB_HOT_REGIONS_HISTORYTIDB_INDEXESTIDB_SERVERS_INFOTIDB_TRXTIFLASH_REPLICATIKV_REGION_PEERSTIKV_REGION_STATUSTIKV_STORE_STATUSUSER_PRIVILEGESVIEWS
METRICS_SCHEMA
- UI
- TiDB Dashboard
- Overview
- Maintain
- Access
- Overview Page
- Cluster Info Page
- Top SQL Page
- Key Visualizer Page
- Metrics Relation Graph
- SQL Statements Analysis
- Slow Queries Page
- Cluster Diagnostics
- Search Logs Page
- Instance Profiling
- Session Management and Configuration
- FAQ
- CLI
- Command Line Flags
- Configuration File Parameters
- System Variables
- Storage Engines
- Telemetry
- Errors Codes
- Table Filter
- Schedule Replicas by Topology Labels
- FAQs
- Release Notes
- All Releases
- Release Timeline
- TiDB Versioning
- v6.1
- v6.0
- v5.4
- v5.3
- v5.2
- v5.1
- v5.0
- v4.0
- v3.1
- v3.0
- v2.1
- v2.0
- v1.0
- Glossary
Temporary Tables
Temporary tables can be thought of as a technique for reusing query results.
If you want to know something about the eldest authors in the Bookshop application, you might write multiple queries that use the list of eldest authors.
For example, you can use the following statement to get the top 50 eldest authors from the authors table:
SELECT a.id, a.name, (IFNULL(a.death_year, YEAR(NOW())) - a.birth_year) AS age
FROM authors a
ORDER BY age DESC
LIMIT 50;
The result is as follows:
+------------+---------------------+------+
| id | name | age |
+------------+---------------------+------+
| 4053452056 | Dessie Thompson | 80 |
| 2773958689 | Pedro Hansen | 80 |
| 4005636688 | Wyatt Keeling | 80 |
| 3621155838 | Colby Parker | 80 |
| 2738876051 | Friedrich Hagenes | 80 |
| 2299112019 | Ray Macejkovic | 80 |
| 3953661843 | Brandi Williamson | 80 |
...
| 4100546410 | Maida Walsh | 80 |
+------------+---------------------+------+
50 rows in set (0.01 sec)
For the convenience of subsequent queries, you need to cache the result of this query. When using general tables for storage, you should pay attention to how to avoid the table name duplication problem between different sessions, and the need of cleaning up intermediate results in time, as these tables might not be used after a batch query.
Create a temporary table
To cache intermediate results, the temporary tables feature is introduced in TiDB v5.3.0. TiDB automatically drops a local temporary table after a session ends, which frees you from worrying about the management trouble caused by increasing intermediate results.
Types of temporary tables
Temporary tables in TiDB are divided into two types: local temporary tables and global temporary tables.
- For a local temporary table, the table definition and data in the table are visible only to the current session. This type is suitable for temporarily storing intermediate data in the session.
- For a global temporary table, the table definition is visible to the entire TiDB cluster, and the data in the table is visible only to the current transaction. This type is suitable for temporarily storing intermediate data in a transaction.
Create a local temporary table
Before creating a local temporary table, you need to add CREATE TEMPORARY TABLES permission to the current database user.
- SQL
- Java
You can create a temporary table using the CREATE TEMPORARY TABLE <table_name> statement. The default type is a local temporary table, which is visible only to the current session.
CREATE TEMPORARY TABLE top_50_eldest_authors (
id BIGINT,
name VARCHAR(255),
age INT,
PRIMARY KEY(id)
);
After creating the temporary table, you can use the INSERT INTO table_name SELECT ... statement to insert the results of the above query into the temporary table you just created.
INSERT INTO top_50_eldest_authors
SELECT a.id, a.name, (IFNULL(a.death_year, YEAR(NOW())) - a.birth_year) AS age
FROM authors a
ORDER BY age DESC
LIMIT 50;
The result is as follows:
Query OK, 50 rows affected (0.03 sec)
Records: 50 Duplicates: 0 Warnings: 0
public List<Author> getTop50EldestAuthorInfo() throws SQLException {
List<Author> authors = new ArrayList<>();
try (Connection conn = ds.getConnection()) {
Statement stmt = conn.createStatement();
stmt.executeUpdate("""
CREATE TEMPORARY TABLE top_50_eldest_authors (
id BIGINT,
name VARCHAR(255),
age INT,
PRIMARY KEY(id)
);
""");
stmt.executeUpdate("""
INSERT INTO top_50_eldest_authors
SELECT a.id, a.name, (IFNULL(a.death_year, YEAR(NOW())) - a.birth_year) AS age
FROM authors a
ORDER BY age DESC
LIMIT 50;
""");
ResultSet rs = stmt.executeQuery("""
SELECT id, name FROM top_50_eldest_authors;
""");
while (rs.next()) {
Author author = new Author();
author.setId(rs.getLong("id"));
author.setName(rs.getString("name"));
authors.add(author);
}
}
return authors;
}
Create a global temporary table
- SQL
- Java
To create a global temporary table, you can add the GLOBAL keyword and end with ON COMMIT DELETE ROWS, which means the table will be deleted after the current transaction ends.
CREATE GLOBAL TEMPORARY TABLE IF NOT EXISTS top_50_eldest_authors_global (
id BIGINT,
name VARCHAR(255),
age INT,
PRIMARY KEY(id)
) ON COMMIT DELETE ROWS;
When inserting data to global temporary tables, you must explicitly declare the start of the transaction via BEGIN. Otherwise, the data will be cleared after the INSERT INTO statement is executed. Because in the Auto Commit mode, the transaction is automatically committed after the INSERT INTO statement is executed, and the global temporary table is cleared when the transaction ends.
When using global temporary tables, you need to turn off Auto Commit mode first. In Java, you can do this with the conn.setAutoCommit(false); statement, and you can commit the transaction explicitly with conn.commit();. The data added to the global temporary table during the transaction will be cleared after the transaction is committed or canceled.
public List<Author> getTop50EldestAuthorInfo() throws SQLException {
List<Author> authors = new ArrayList<>();
try (Connection conn = ds.getConnection()) {
conn.setAutoCommit(false);
Statement stmt = conn.createStatement();
stmt.executeUpdate("""
CREATE GLOBAL TEMPORARY TABLE IF NOT EXISTS top_50_eldest_authors (
id BIGINT,
name VARCHAR(255),
age INT,
PRIMARY KEY(id)
) ON COMMIT DELETE ROWS;
""");
stmt.executeUpdate("""
INSERT INTO top_50_eldest_authors
SELECT a.id, a.name, (IFNULL(a.death_year, YEAR(NOW())) - a.birth_year) AS age
FROM authors a
ORDER BY age DESC
LIMIT 50;
""");
ResultSet rs = stmt.executeQuery("""
SELECT id, name FROM top_50_eldest_authors;
""");
conn.commit();
while (rs.next()) {
Author author = new Author();
author.setId(rs.getLong("id"));
author.setName(rs.getString("name"));
authors.add(author);
}
}
return authors;
}
View temporary tables
With the SHOW [FULL] TABLES statement, you can view a list of existing global temporary tables, but you cannot see any local temporary tables in the list. For now, TiDB does not have a similar information_schema.INNODB_TEMP_TABLE_INFO system table for storing temporary table information.
For example, you can see the global temporary table top_50_eldest_authors_global in the table list, but not the top_50_eldest_authors table.
+-------------------------------+------------+
| Tables_in_bookshop | Table_type |
+-------------------------------+------------+
| authors | BASE TABLE |
| book_authors | BASE TABLE |
| books | BASE TABLE |
| orders | BASE TABLE |
| ratings | BASE TABLE |
| top_50_eldest_authors_global | BASE TABLE |
| users | BASE TABLE |
+-------------------------------+------------+
9 rows in set (0.00 sec)
Query a temporary table
Once the temporary table is ready, you can query it as a normal data table:
SELECT * FROM top_50_eldest_authors;
You can reference data from temporary tables to your query via Multi-table join queries:
EXPLAIN SELECT ANY_VALUE(ta.id) AS author_id, ANY_VALUE(ta.age), ANY_VALUE(ta.name), COUNT(*) AS books
FROM top_50_eldest_authors ta
LEFT JOIN book_authors ba ON ta.id = ba.author_id
GROUP BY ta.id;
Different from view, querying a temporary table gets data directly from the temporary table instead of executing the original query used in the data insert. In some cases, this can improve the query performance.
Drop a temporary table
A local temporary table in a session is automatically dropped after the session ends, along with both data and table schema. A global temporary table in a transaction is automatically cleared at the end of the transaction, but the table schema remains and needs to be deleted manually.
To manually drop local temporary tables, use the DROP TABLE or DROP TEMPORARY TABLE syntax. For example:
DROP TEMPORARY TABLE top_50_eldest_authors;
To manually drop global temporary tables, use the DROP TABLE or DROP GLOBAL TEMPORARY TABLE syntax. For example:
DROP GLOBAL TEMPORARY TABLE top_50_eldest_authors_global;
Limitation
For limitations of temporary tables in TiDB, see Compatibility restrictions with other TiDB features.