ClickHouse 使用

CREATE DATABASE test on cluster ck_00_1repl;

DROP TABLE local_t_ordt_order on cluster ck_00_1repl;

创建本地 local 表

CREATE TABLE test.local_order_db_t_order on cluster ck_00_1repl
(
forder_id_hash String,
forder_id String,
fuid Int32,
forder_type Int32,
fsale_type Int32,
frepay_type Int32,
forder_info String,
ftotal_amount Int64,
ftotal_handling_fee Int32,
ftotal_mon_pay Int32,
fextra_capital Int32,
ftotal_manage_fee Int64,
fversion Int32,
fpay_way Int32,
fpay_suc_time DateTime,
fetl_time DateTime,
forder_state Date,
f_p_date Date
)
ENGINE = ReplicatedMergeTree(‘/clickhouse/tables/{shard}/{database}/{table}’, ‘{replica}’)
PARTITION BY f_p_date
PRIMARY KEY (forder_type, fsale_type, forder_state)
ORDER BY (forder_type, fsale_type, forder_state, forder_id)
TTL f_p_date+ toIntervalDay(7)
SETTINGS index_granularity = 8192;

创建分布式 distributed 表

CREATE TABLE test.t_order_db_t_order on cluster ck_00_1repl
(
forder_id_hash String,
forder_id String,
fuid Int32,
forder_type Int32,
fsale_type Int32,
frepay_type Int32,
forder_info String,
ftotal_amount Int64,
ftotal_handling_fee Int32,
ftotal_mon_pay Int32,
fextra_capital Int32,
ftotal_manage_fee Int64,
fversion Int32,
fpay_way Int32,
fpay_suc_time DateTime,
fetl_time DateTime,
forder_state Date,
f_p_date Date
)
ENGINE = Distributed(‘ck_00_1repl’, ‘test’, ‘local_order_db_t_order’, rand());

SHOW DATABASES;
SHOW TABLES;

INSERT INTO test.local_order_db_t_order(forder_id) VALUES (‘1_10.9.104.249’);
INSERT INTO test.local_order_db_t_order(forder_id) VALUES (‘2_10.9.104.250’);

select * from test.local_order_db_t_order;
select count(1) from test.local_order_db_t_order;

select * from test.t_order_db_t_order;
select count(1) from test.t_order_db_t_order;

数据量记录

1、实时数据仓库

4百亿+
4十亿+

2、日志

5.5万亿+
2.9千亿+