GreenPlum DBA常用SQL 查看对象大小(表、索引、数据库等) select pg_size_pretty(pg_relation_size($schema.$table)); 查看用户(非系统)表和索引 select * from pg_stat_user_tables; seect * from pg_stat_user_indexes; www.2cto.com 查看表分区 select b.
GreenPlum DBA常用SQL
查看对象大小(表、索引、数据库等)
select pg_size_pretty(pg_relation_size(’$schema.$table’));
查看用户(非系统)表和索引
select * from pg_stat_user_tables;
seect * from pg_stat_user_indexes;
www.2cto.com
查看表分区
select b.nspname||’.'||a.relname as tablename, d.parname as partname
from pg_class a, pg_namespace b, pg_partition c, pg_partition_rule d
where a.relnamespace = b.oid
and b.nspname = ‘$schema’
and a.relname = ‘$table’
and a.oid = c.parrelid
and c.oid = d.paroid
order by parname;
查看Distributed key
select b.attname
from pg_class a, pg_attribute b, pg_type c, gp_distribution_policy d, pg_namespace e
where d.localoid = a.oid
and a.relnamespace = e.oid
and e.nspname = ‘$schema’
and a.relname=’$table’
and a.oid = b.attrelid
and b.atttypid = c.oid
and b.attnum > 0
and b.attnum = any(d.attrnums)
order by attnum;
www.2cto.com
查看当前存活的查询
select procpid as pid, sess_id as session, usename as user, current_query as query, waiting,
date_trunc(’second’, query_start) as start_time, client_addr as useraddr
from pg_stat_activity
where datname =’$PGDATABASE’
and current_query not like ‘%from pg_stat_activity%where datname =%’
order by start_time;
表上被用作外键的字段名
select f.conname, pg_get_constraintdef(f.oid), t2.relname
from pg_class t, pg_class t2, pg_constraint f
where f.confrelid = t.oid
and f.conrelid = t2.oid
and f.contype = ‘f’
and t.relname = ‘$table’;
www.2cto.com
1. 查看表使用空间
SELECT *
FROM PUBLIC.dba_segments
WHERE owner LIKE 'owber_name'
AND table_name LIKE '%table_name%'
ORDER BY table_name;
2. GP中查看分区:
select partitionname,partitionboundary from pg_partitions where tablename='table_name';
select partitionname,partitionboundary from pg_catalog.pg_partitions where tablename='table_name';
3. 查看正在运行的sql
select * from pg_stat_activity;
4. 修改表的owner语句
Alter table table_name owner to owner_name;
www.2cto.com
5. 增加表分区
ALTER TABLE table_name ADD PARTITION P20091001 START (DATE '2009-10-01') INCLUSIVE END (DATE '2009-10-02') EXCLUSIVE WITH(appendonly=true,compresslevel=5);
6. 修改列类型
ALTER TABLE table_name ALTER COLUMN a TYPE varchar(2048);
7. 修改distributed 列
alter table table_name set distributed by(column_1);

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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