KingbaseES分区表 -- 声明式创建分区表
一、声明式创建分区：
1. 创建分区表同时创建分区：
1.1 准备环境：
# 创建分区表同时创建分区
create table tb1(id bigint,stat date,no bigint,pdate date,info varchar2(50)) partition by range(pdate) INTERVAL ('1 MONTH'::INTERVAL)
(
PARTITION tb1_p1 VALUES LESS THAN ('2019-01-01'),
PARTITION tb1_p2 VALUES LESS THAN ('2019-02-01'),
PARTITION tb1_p3 VALUES LESS THAN ('2019-03-01'),
PARTITION tb1_p4 VALUES LESS THAN ('2019-04-01')
);
# 查看分区表父表
test=# \d+ tb1
Partitioned table "public.tb1"
Column | Type | Collation | Nullable | Default | Storage | Stats target | Description
--------+----------------------------+-----------+----------+---------+----------+--------------+-------------
id | bigint | | | | plain | |
stat | date | | | | plain | |
no | bigint | | | | plain | |
pdate | date | | | | plain | |
info | character varying(50 char) | | | | extended | |
Partition key: RANGE (pdate)
Range interval: INTERVAL ('0-1'::pg_catalog.interval)
Partitions: tb1_tb1_p1 FOR VALUES FROM (MINVALUE) TO ('2019-01-01 00:00:00'),
tb1_tb1_p2 FOR VALUES FROM ('2019-01-01 00:00:00') TO ('2019-02-01 00:00:00'),
tb1_tb1_p3 FOR VALUES FROM ('2019-02-01 00:00:00') TO ('2019-03-01 00:00:00'),
tb1_tb1_p4 FOR VALUES FROM ('2019-03-01 00:00:00') TO ('2019-04-01 00:00:00')
# 查看分区表子表
test=# \d+ tb1_tb1_p1
Table "public.tb1_tb1_p1"
Column | Type | Collation | Nullable | Default | Storage | Stats target | Description
--------+----------------------------+-----------+----------+---------+----------+--------------+-------------
id | bigint | | | | plain | |
stat | date | | | | plain | |
no | bigint | | | | plain | |
pdate | date | | | | plain | |
info | character varying(50 char) | | | | extended | |
Partition of: tb1 FOR VALUES FROM (MINVALUE) TO ('2019-01-01 00:00:00')
Partition constraint: ((pdate IS NOT NULL) AND ((pdate)::timestamp without time zone < '2019-01-01 00:00:00'::date))
Access method: heap
1.2 对分区表添加主键：
# 分区表添加主键
test=# alter table tb1 add constraint tb1_pk primary key(id);
ALTER TABLE
# 查看分区表父表
test=# \d+ tb1
Partitioned table "public.tb1"
Column | Type | Collation | Nullable | Default | Storage | Stats target | Description
--------+----------------------------+-----------+----------+---------+----------+--------------+-------------
id | bigint | | not null | | plain | |
stat | date | | | | plain | |
no | bigint | | | | plain | |
pdate | date | | | | plain | |
info | character varying(50 char) | | | | extended | |
Partition key: RANGE (pdate)
Range interval: INTERVAL ('0-1'::pg_catalog.interval)
Indexes:
"tb1_pk" PRIMARY KEY, btree (id) INCLUDE (tableoid) GLOBAL
Partitions: tb1_tb1_p1 FOR VALUES FROM (MINVALUE) TO ('2019-01-01 00:00:00'),
tb1_tb1_p2 FOR VALUES FROM ('2019-01-01 00:00:00') TO ('2019-02-01 00:00:00'),
tb1_tb1_p3 FOR VALUES FROM ('2019-02-01 00:00:00') TO ('2019-03-01 00:00:00'),
tb1_tb1_p4 FOR VALUES FROM ('2019-03-01 00:00:00') TO ('2019-04-01 00:00:00')
# 查看分区表子表
test=# \d+ tb1_tb1_p1
Table "public.tb1_tb1_p1"
Column | Type | Collation | Nullable | Default | Storage | Stats target | Description
--------+----------------------------+-----------+----------+---------+----------+--------------+-------------
id | bigint | | not null | | plain | |
stat | date | | | | plain | |
no | bigint | | | | plain | |
pdate | date | | | | plain | |
info | character varying(50 char) | | | | extended | |
Partition of: tb1 FOR VALUES FROM (MINVALUE) TO ('2019-01-01 00:00:00')
Partition constraint: ((pdate IS NOT NULL) AND ((pdate)::timestamp without time zone < '2019-01-01 00:00:00'::date))
Access method: heap
# 查询user_indexes视图tb1_pk索引
test=# select index_name,index_type,table_name,table_type,uniqueness,compression from user_indexes where index_name =upper('tb1_pk');
index_name | index_type | table_name | table_type | uniqueness | compression
------------+------------+------------+------------+------------+-------------
TB1_PK | BTREE | TB1 | TABLE | UNIQUE | DISABLED
(1 row)
分区表添加主键：
1 添加主键的同时会创建主键列（字段）唯一索引（但是有唯一索引的列不一定是主键）。
2 主键字段不允许空值，添加主键过程中会自动添加not null非空约束，保证主键列值的唯一性。
3 分区表添加主键同时创建的索引（索引有GLOBAL）是全局索引。
4 分区表会在主键列创建一个全局（global）索引，默认为添加主键列的同时创建全局索引。
5 分区表唯一约束必须包含分区键。
1.3 对分区表创建索引：
# 分区表创建索引
create index on tb1 (no) local;
CREATE INDEX
create index on tb1 (id,no) global;
CREATE INDEX
# 查看tb1表信息
test=# \d+ tb1
Partitioned table "public.tb1"
Column | Type | Collation | Nullable | Default | Storage | Stats target | Description
--------+----------------------------+-----------+----------+---------+----------+--------------+-------------
id | bigint | | not null | | plain | |
stat | date | | | | plain | |
no | bigint | | | | plain | |
pdate | date | | | | plain | |
info | character varying(50 char) | | | | extended | |
Partition key: RANGE (pdate)
Range interval: INTERVAL ('0-1'::pg_catalog.interval)
Indexes:
"tb1_pk" PRIMARY KEY, btree (id) INCLUDE (tableoid) GLOBAL
"tb1_id_no_idx" btree (id, no)
"tb1_no_idx" btree (no)
Partitions: tb1_tb1_p1 FOR VALUES FROM (MINVALUE) TO ('2019-01-01 00:00:00'),
tb1_tb1_p2 FOR VALUES FROM ('2019-01-01 00:00:00') TO ('2019-02-01 00:00:00'),
tb1_tb1_p3 FOR VALUES FROM ('2019-02-01 00:00:00') TO ('2019-03-01 00:00:00'),
tb1_tb1_p4 FOR VALUES FROM ('2019-03-01 00:00:00') TO ('2019-04-01 00:00:00')
# 查看分区表tb1子表信息
test=# \d+ tb1_tb1_p2
Table "public.tb1_tb1_p2"
Column | Type | Collation | Nullable | Default | Storage | Stats target | Description
--------+----------------------------+-----------+----------+---------+----------+--------------+-------------
id | bigint | | not null | | plain | |
stat | date | | | | plain | |
no | bigint | | | | plain | |
pdate | date | | | | plain | |
info | character varying(50 char) | | | | extended | |
Partition of: tb1 FOR VALUES FROM ('2019-01-01 00:00:00') TO ('2019-02-01 00:00:00')
Partition constraint: (((pdate IS NULL) OR ((pdate)::timestamp without time zone >= '2019-01-01 00:00:00'::date)) AND ((pdate IS NOT NULL) AND ((pdate)::timestamp without time zone < '2019-02-01 00:00:00'::date)))
Indexes:
"tb1_tb1_p2_id_no_idx" btree (id, no)
"tb1_tb1_p2_no_idx" btree (no)
Access method: heap
分区表创建索引：
1 在分区表创建本地索引，会自动在每个分区上创建一个本地索引。
2 分区表只能在主键列创建一个全局（global）索引，默认为添加主键列创建的索引。
3 分区表创建全局索引必须满足条件：索引类型是唯一索引（unique）并且不包含分区键 。
4 分区表父表不支持CONCURRENTLY、parallel_workers选项，子分区支持CONCURRENTLY、parallel_workers选项。
1.4 使用ATTACH PARTITION将普通表转换为分区表子分区：
# 创建普通表
test=# create table tb1_tb1_p5(id bigint,stat date,no bigint,pdate date,info varchar2(50));
CREATE TABLE
test=# \d+ tb1_tb1_p5
Table "public.tb1_tb1_p5"
Column | Type | Collation | Nullable | Default | Storage | Stats target | Description
--------+----------------------------+-----------+----------+---------+----------+--------------+-------------
id | bigint | | | | plain | |
stat | date | | | | plain | |
no | bigint | | | | plain | |
pdate | date | | | | plain | |
info | character varying(50 char) | | | | extended | |
Access method: heap
# 使用ATTACH PARTITION将普通表转换为分区表子分区
test=# alter table tb1 ATTACH PARTITION tb1_tb1_p5 for VALUES FROM('2019-05-01') TO ('2019-05-31');
ERROR: column "id" in child table must be marked NOT NULL
# 创建的普通表，表结构、约束必须跟分区表一致
test=# alter table tb1_tb1_p5 alter id set not null;
ALTER TABLE
test=# \d+ tb1_tb1_p5
Table "public.tb1_tb1_p5"
Column | Type | Collation | Nullable | Default | Storage | Stats target | Description
--------+----------------------------+-----------+----------+---------+----------+--------------+-------------
id | bigint | | not null | | plain | |
stat | date | | | | plain | |
no | bigint | | | | plain | |
pdate | date | | | | plain | |
info | character varying(50 char) | | | | extended | |
Access method: heap
test=# alter table tb1 ATTACH PARTITION tb1_tb1_p5 for VALUES FROM('2019-05-01') TO ('2019-05-31');
ALTER TABLE
# 查看ATTACH后的分区表
test=# \d+ tb1
Partitioned table "public.tb1"
Column | Type | Collation | Nullable | Default | Storage | Stats target | Description
--------+----------------------------+-----------+----------+---------+----------+--------------+-------------
id | bigint | | not null | | plain | |
stat | date | | | | plain | |
no | bigint | | | | plain | |
pdate | date | | | | plain | |
info | character varying(50 char) | | | | extended | |
Partition key: RANGE (pdate)
Range interval: INTERVAL ('0-1'::pg_catalog.interval)
Indexes:
"tb1_pk" PRIMARY KEY, btree (id) INCLUDE (tableoid) GLOBAL
"tb1_id_no_idx" btree (id, no)
"tb1_no_idx" btree (no)
Partitions: tb1_tb1_p1 FOR VALUES FROM (MINVALUE) TO ('2019-01-01 00:00:00'),
tb1_tb1_p2 FOR VALUES FROM ('2019-01-01 00:00:00') TO ('2019-02-01 00:00:00'),
tb1_tb1_p3 FOR VALUES FROM ('2019-02-01 00:00:00') TO ('2019-03-01 00:00:00'),
tb1_tb1_p4 FOR VALUES FROM ('2019-03-01 00:00:00') TO ('2019-04-01 00:00:00'),
tb1_tb1_p5 FOR VALUES FROM ('2019-05-01 00:00:00') TO ('2019-05-31 00:00:00')
test=# \d+ tb1_tb1_p5
Table "public.tb1_tb1_p5"
Column | Type | Collation | Nullable | Default | Storage | Stats target | Description
--------+----------------------------+-----------+----------+---------+----------+--------------+-------------
id | bigint | | not null | | plain | |
stat | date | | | | plain | |
no | bigint | | | | plain | |
pdate | date | | | | plain | |
info | character varying(50 char) | | | | extended | |
Partition of: tb1 FOR VALUES FROM ('2019-05-01 00:00:00') TO ('2019-05-31 00:00:00')
Partition constraint: (((pdate IS NULL) OR ((pdate)::timestamp without time zone >= '2019-05-01 00:00:00'::date)) AND ((pdate IS NOT NULL) AND ((pdate)::timestamp without time zone < '2019-05-31 00:00:00'::date)))
Indexes:
"tb1_tb1_p5_id_no_idx" btree (id, no)
"tb1_tb1_p5_no_idx" btree (no)
Access method: heap
ATTACH PARTITION将普通表转换为分区表子分区：
1 ATTACH普通表、分区表的列、字段类型、长度、约束必须一致。
2 分区表的unique和primary key约束将被应用在ATTACH新的子分区。
3 ATTACH过程中如果普通表有数据，会使用全表扫描检查数据是否违反分区约束（可以在ATTACH前使用约束筛选复合条件的数据）。
4 ATTACH外部表，不需要验证外部表中的数据符合分区约束。
5 如果ATTACH的表有跟分区不一致的索引，分区表会应用ATTACH表的索引。
2. 使用Create Table为分区表添加子分区：
使用Create Table语句创建分区表子分区也会自动添加约束及索引。
# 使用Create Table语句创建分区表子分区
test=# CREATE TABLE tb1_tb1_p5 PARTITION OF tb1 FOR VALUES FROM ('2019-04-01') TO ('2019-04-30');
CREATE TABLE
test=# \d+ tb1
Partitioned table "public.tb1"
Column | Type | Collation | Nullable | Default | Storage | Stats target | Description
--------+----------------------------+-----------+----------+---------+----------+--------------+-------------
id | bigint | | not null | | plain | |
stat | date | | | | plain | |
no | bigint | | | | plain | |
pdate | date | | | | plain | |
info | character varying(50 char) | | | | extended | |
Partition key: RANGE (pdate)
Range interval: INTERVAL ('0-1'::pg_catalog.interval)
Indexes:
"tb1_pk" PRIMARY KEY, btree (id) INCLUDE (tableoid) GLOBAL
"tb1_id_no_idx" btree (id, no)
"tb1_no_idx" btree (no)
Partitions: tb1_tb1_p1 FOR VALUES FROM (MINVALUE) TO ('2019-01-01 00:00:00'),
tb1_tb1_p2 FOR VALUES FROM ('2019-01-01 00:00:00') TO ('2019-02-01 00:00:00'),
tb1_tb1_p3 FOR VALUES FROM ('2019-02-01 00:00:00') TO ('2019-03-01 00:00:00'),
tb1_tb1_p4 FOR VALUES FROM ('2019-03-01 00:00:00') TO ('2019-04-01 00:00:00'),
tb1_tb1_p5 FOR VALUES FROM ('2019-04-01 00:00:00') TO ('2019-04-30 00:00:00')
test=# \d+ tb1_tb1_p5
Table "public.tb1_tb1_p5"
Column | Type | Collation | Nullable | Default | Storage | Stats target | Description
--------+----------------------------+-----------+----------+---------+----------+--------------+-------------
id | bigint | | not null | | plain | |
stat | date | | | | plain | |
no | bigint | | | | plain | |
pdate | date | | | | plain | |
info | character varying(50 char) | | | | extended | |
Partition of: tb1 FOR VALUES FROM ('2019-04-01 00:00:00') TO ('2019-04-30 00:00:00')
Partition constraint: (((pdate IS NULL) OR ((pdate)::timestamp without time zone >= '2019-04-01 00:00:00'::date)) AND ((pdate IS NOT NULL) AND ((pdate)::timestamp without time zone < '2019-04-30 00:00:00'::date)))
Indexes:
"tb1_tb1_p5_id_no_idx" btree (id, no)
"tb1_tb1_p5_no_idx" btree (no)
Access method: heap
3. 申明式创建分区总结：
声明式分区，子分区和分区表列、类型、约束必须一致。
在申明式创建的分区表上创建索引，会自动将索引应用于所有的子分区。
分区表惟一约束必须包括分区键。
不能创建包含所有子分区的排除约束，只能每个子分区单独创建。
在分区表创建索引时（不可使用CONCURRENTLY），可使用on only在分区表创建标记失效的索引，避免大表创建索引耗时太久（子分区不会自动应用该索引），然后在所有子分区单独创建索引（可使用CONCURRENTLY），最后使用ALTER INDEX .. ATTACH PARTITION附加到到父索引，所有子分区索引附加到父索引后会自动标记为有效。
# 分区表不支持使用CONCURRENTLY在父表创建索引
test=# create index CONCURRENTLY on tb1(info);
ERROR: cannot create index on partitioned table "tb1" concurrently
Time: 0.519 ms
# 使用on only在分区表创建索引
test=# create index on only tb1(info);
CREATE INDEX
Time: 1.845 ms
# 查看分区表tb1信息，tb1_info_idx标记为无效invalid
test=# \d+ tb1
Partitioned table "public.tb1"
Column | Type | Collation | Nullable | Default | Storage | Stats target | Description
--------+----------------------------+-----------+----------+---------+----------+--------------+-------------
id | bigint | | not null | | plain | |
stat | date | | | | plain | |
no | bigint | | | | plain | |
pdate | date | | | | plain | |
info | character varying(50 char) | | | | extended | |
Partition key: RANGE (pdate)
Range interval: INTERVAL ('0-1'::pg_catalog.interval)
Indexes:
"tb1_pk" PRIMARY KEY, btree (id) INCLUDE (tableoid) GLOBAL
"tb1_id_no_idx" btree (id, no)
"tb1_info_idx" btree (info) INVALID
"tb1_no_idx" btree (no)
Partitions: tb1_tb1_p1 FOR VALUES FROM (MINVALUE) TO ('2019-01-01 00:00:00'),
tb1_tb1_p2 FOR VALUES FROM ('2019-01-01 00:00:00') TO ('2019-02-01 00:00:00'),
tb1_tb1_p3 FOR VALUES FROM ('2019-02-01 00:00:00') TO ('2019-03-01 00:00:00'),
tb1_tb1_p4 FOR VALUES FROM ('2019-03-01 00:00:00') TO ('2019-04-01 00:00:00'),
tb1_tb1_p5 FOR VALUES FROM ('2019-04-01 00:00:00') TO ('2019-04-30 00:00:00')
# 单独创建所有子分区索引
test=# create index tb1_tb1_p1_info_idx on tb1_tb1_p1(info);
CREATE INDEX
test=# create index tb1_tb1_p2_info_idx on tb1_tb1_p2(info);
CREATE INDEX
test=# create index tb1_tb1_p3_info_idx on tb1_tb1_p3(info);
CREATE INDEX
test=# create index tb1_tb1_p4_info_idx on tb1_tb1_p4(info);
CREATE INDEX
test=# create index tb1_tb1_p5_info_idx on tb1_tb1_p5(info);
CREATE INDEX
# 使用attach partition将所有子分区索引附加到父表
test=# alter index tb1_info_idx attach partition tb1_tb1_p1_info_idx;
ALTER INDEX
test=# alter index tb1_info_idx attach partition tb1_tb1_p2_info_idx;
ALTER INDEX
test=# alter index tb1_info_idx attach partition tb1_tb1_p3_info_idx;
ALTER INDEX
test=# alter index tb1_info_idx attach partition tb1_tb1_p4_info_idx;
ALTER INDEX
test=# alter index tb1_info_idx attach partition tb1_tb1_p5_info_idx;
ALTER INDEX
# 查看分区表tb1信息，tb1_info_idx自动标记为有效
test=# \d+ tb1
Partitioned table "public.tb1"
Column | Type | Collation | Nullable | Default | Storage | Stats target | Description
--------+----------------------------+-----------+----------+---------+----------+--------------+-------------
id | bigint | | not null | | plain | |
stat | date | | | | plain | |
no | bigint | | | | plain | |
pdate | date | | | | plain | |
info | character varying(50 char) | | | | extended | |
Partition key: RANGE (pdate)
Range interval: INTERVAL ('0-1'::pg_catalog.interval)
Indexes:
"tb1_pk" PRIMARY KEY, btree (id) INCLUDE (tableoid) GLOBAL
"tb1_id_no_idx" btree (id, no)
"tb1_info_idx" btree (info)
"tb1_no_idx" btree (no)
Partitions: tb1_tb1_p1 FOR VALUES FROM (MINVALUE) TO ('2019-01-01 00:00:00'),
tb1_tb1_p2 FOR VALUES FROM ('2019-01-01 00:00:00') TO ('2019-02-01 00:00:00'),
tb1_tb1_p3 FOR VALUES FROM ('2019-02-01 00:00:00') TO ('2019-03-01 00:00:00'),
tb1_tb1_p4 FOR VALUES FROM ('2019-03-01 00:00:00') TO ('2019-04-01 00:00:00'),
tb1_tb1_p5 FOR VALUES FROM ('2019-04-01 00:00:00') TO ('2019-04-30 00:00:00')
KingbaseES分区表 -- 声明式创建分区表的更多相关文章
- SQL Server 2005中的分区表（一）：什么是分区表？为什么要用分区表？如何创建分区表？(转)
如果你的数据库中某一个表中的数据满足以下几个条件,那么你就要考虑创建分区表了. 1.数据库中某个表中的数据很多.很多是什么概念?一万条?两万条?还是十万条.一百万条?这个,我觉得是仁者见仁.智者见 ...
- 创建分区表和查看分区表的Metadata
未分区的表,只能存储在一个FileGroup中:对table进行分区后,每一个分区都存储在一个FileGroup中.表分区是将逻辑上一个完整的表,按照特定的字段拆分成Partition set,分散到 ...
- oracle直通车6关于rman备份恢复数据文件，以及创建分区表的实验
1.创建一张表,在表上创建一个索引,分别查询表,索引各自分配了多少个extents,多少个数据块以及总共占用空间的大小(bytes). 答:创建一张表t,为字段object_id创建索引t_objec ...
- 【转】图解Sql2005创建分区表的全过程
第一.创建分区表的第一步,先创建数据库文件组,但这一步可以省略,因为你可以直接使用PRIMARY文件.但我个人认为,为了方便管理,还是可以先创建几个文件组,这样可以将不同的小表放在不同的文件组里,既便 ...
- [原创]PostgreSQL Plus Advanced Server批量创建分区表写入亿级别数据实例
当前情况:大表的数据量已接近2亿条我的解决思路:为它创建n*100个分区表,将各个分区表放在不同的tablespace上这样做的优点:1.首先是对这个级别的数据表的性能会有所提升2.数据管理更科学3. ...
- mysql8.0 定时创建分区表记录 每天定时创建下一天的分区表
因单表数据太大, 需要表按时间分区 分区字段 pay_out_date 按天分 要求自动创建 1. 创建分区表 MYSQL的分区字段,必须包含在主键字段内 常见错误提示 错误提示:#1503 A PR ...
- SQL 创建分区表
(以项目中实际使用的GNSS库为例) 背景:数据量巨大,定时创建月表存放数据,月表中数据存放在不同的文件组中来提高查询效率 一.创建数据库,添加文件组 除了逻辑文件和物理文件的分离之外,SQL S ...
- Oracle 创建分区表
--查看数据库中所有用户的分区表 SELECT * FROM DBA_TABLES WHERE PARTITIONED='YES' AND OWNER NOT IN ('SYSTEM','SYS') ...
- sqlserver 创建分区表
我们知道很多事情都存在一个分治的思想,同样的道理我们也可以用到数据表上,当一个表很大很大的时候,我们就会想到将表拆 分成很多小表,查询的时候就到各个小表去查,最后进行汇总返回给调用方来加速我们的查询速 ...
- hive创建分区表
#创建分区表CREATE TABLE if not exists data_center.test_partition (id int,name string,age int)PARTITIONED ...
随机推荐
- 【Unity3D】Photon环境搭建
1 简介 Photon 是一个泛用性的 ScoketServer 套装软件,可用于多人在线游戏.聊天室.大厅游戏,并同时支持 Windows.Unity3D.iOS.Android.Flash 等 ...
- gitlab+jenkins+docker持续集成环境搭建实战
介绍 什么是持续集成? 持续集成(CI)是在源代码变更后自动检测.拉取.构建和(在大多数情况下)进行单元测试的过程.持续集成是启动管道的环节(尽管某些预验证 -- 通常称为 上线前检查(pre-fli ...
- Java中的POJO是什么？
1.介绍 在这个简短的教程中,我们将研究"普通Java对象"(Plain Old Java Object)的定义,简称POJO.我们将看看POJO与JavaBean的比较,以及如何 ...
- win32-UpdateLayeredWindow
创建半透明的窗口,以及在窗口上绘制不透明的文本 方法: 创建Bitmap具有PixelFormat32bppPARGB像素格式的GDI + 对象. 创建一个Graphics对象以绘制该Bitmap对象 ...
- win32- 窗口模板
主要用于日常的win32窗口的测试 #include <Windows.h> #include <stdio.h> #include <iostream> usin ...
- 硬件开发笔记（十四）：RK3568底板电路LVDS模块、MIPI模块电路分析、LVDS硬件接口、MIPI硬件接口详解
前言 本篇继续分析底板原理图mipi/lvds屏幕电路原理图.硬件接口详解. LVDS与MIPI的区别 液晶屏有RGB TTL.LVDS.MIPI.HDMI接口,这些接口区别于信号的类型( ...
- Hello-FPGA CoaXPress 2.0 FPGA DEVICE IP Core Demo
Hello-FPGA CoaXPress 2.0 Device FPGA IP Core Demo 1 说明 本手册针对Helllo-FPGA的CoaXPress 2.0 DEVICE FPG ...
- 前后端分离项目(七):实现"添加"功能(前端视图)
好家伙,本篇用于测试"添加"接口,为后续"用户注册"功能做铺垫 (完整代码在最后) 我们要实现"添加"功能 老样子我们先来理清一下思路, ...
- SpringCloud使用Kafka消费者
目录 POM文件配置 创建kafka配置 系统配置信息 启动入口 POM文件配置 <project xmlns="http://maven.apache.org/POM/4.0.0&q ...
- mysql-对应删除 dict 脚本
-- 1. 此 dict 是在不同租户下的数据字典,查询时需要根据 departid 进行分类查询 -- 2. 删除dict, dict分类主表类型与挂载的子表数据 -- 3. 通过查询到的主表的 g ...