Kubernetes-记录在容器云Galera集群中测试导入数据
Kubernetes-在Caicloud容器平台Galera集群中测试导入数据
平台：Caicloud Compass（才云compass容器云管理平台）
mysql版本：5.7.20
Galera集群信息：
mysql> show status like "wsrep_cluster_size";
+--------------------+-------+
| Variable_name | Value |
+--------------------+-------+
| wsrep_cluster_size | 3 |
+--------------------+-------+
1 row in set (0.00 sec)
mysql> SHOW GLOBAL STATUS LIKE 'wsrep_%';
+------------------------------+-------------------------------------------------------+
| Variable_name | Value |
+------------------------------+-------------------------------------------------------+
| wsrep_local_state_uuid | 3d0f6095-a622-11ea-b10f-7f51e86538e3 |
| wsrep_protocol_version | 7 |
| wsrep_last_committed | 300008 |
| wsrep_replicated | 0 |
| wsrep_replicated_bytes | 0 |
| wsrep_repl_keys | 0 |
| wsrep_repl_keys_bytes | 0 |
| wsrep_repl_data_bytes | 0 |
| wsrep_repl_other_bytes | 0 |
| wsrep_received | 100783 |
| wsrep_received_bytes | 30795431 |
| wsrep_local_commits | 0 |
| wsrep_local_cert_failures | 0 |
| wsrep_local_replays | 0 |
| wsrep_local_send_queue | 0 |
| wsrep_local_send_queue_max | 1 |
| wsrep_local_send_queue_min | 0 |
| wsrep_local_send_queue_avg | 0.000000 |
| wsrep_local_recv_queue | 0 |
| wsrep_local_recv_queue_max | 30 |
| wsrep_local_recv_queue_min | 0 |
| wsrep_local_recv_queue_avg | 0.079299 |
| wsrep_local_cached_downto | 200009 |
| wsrep_flow_control_paused_ns | 119076643 |
| wsrep_flow_control_paused | 0.000000 |
| wsrep_flow_control_sent | 12 |
| wsrep_flow_control_recv | 25 |
| wsrep_cert_deps_distance | 65.707360 |
| wsrep_apply_oooe | 0.000000 |
| wsrep_apply_oool | 0.000000 |
| wsrep_apply_window | 1.000000 |
| wsrep_commit_oooe | 0.000000 |
| wsrep_commit_oool | 0.000000 |
| wsrep_commit_window | 1.000000 |
| wsrep_local_state | 4 |
| wsrep_local_state_comment | Synced |
| wsrep_cert_index_size | 35 |
| wsrep_causal_reads | 0 |
| wsrep_cert_interval | 0.000000 |
| wsrep_incoming_addresses | 192.168.1.79:3306,192.168.5.71:3306,192.168.4.50:3306 |
| wsrep_desync_count | 0 |
| wsrep_evs_delayed | |
| wsrep_evs_evict_list | |
| wsrep_evs_repl_latency | 0/0/0/0/0 |
| wsrep_evs_state | OPERATIONAL |
| wsrep_gcomm_uuid | c47eea04-a632-11ea-b0ab-7e4e4ad55ea7 |
| wsrep_cluster_conf_id | 9 |
| wsrep_cluster_size | 3 |
| wsrep_cluster_state_uuid | 3d0f6095-a622-11ea-b10f-7f51e86538e3 |
| wsrep_cluster_status | Primary |
| wsrep_connected | ON |
| wsrep_local_bf_aborts | 0 |
| wsrep_local_index | 0 |
| wsrep_provider_name | Galera |
| wsrep_provider_vendor | Codership Oy <info@codership.com> |
| wsrep_provider_version | 3.22(r4d7d231) |
| wsrep_ready | ON |
+------------------------------+-------------------------------------------------------+
57 rows in set (0.00 sec)
构造并插入十万条测试数据
mysql> use test;
Reading table information for completion of table and column names
You can turn off this feature to get a quicker startup with -A
Database changed
mysql> create table tb_test (id int auto_increment primary key,name char(10),identification int default 20);
Query OK, 0 rows affected (0.06 sec)
mysql>
mysql>
mysql> delimiter $$
mysql> create procedure sp_tb_test()
-> begin
-> declare i int;
-> set i = 1;
-> while i <= 100000
-> do insert into tb_test(name,identification) values (concat('huang',i),i);
-> set i = i +1;
-> end while;
-> end$$
Query OK, 0 rows affected (0.02 sec)
mysql> delimiter ;
mysql> call sp_tb_test;
^G
^G^G^G^G^G^G^G^G^G^GQuery OK, 1 row affected (52.26 sec)
mysql>
mysql> select count(*) from test.tb_test;
+----------+
| count(*) |
+----------+
| 100000 |
+----------+
1 row in set (0.02 sec)
我们可以看到插入10万条数据花费了52秒，以容器的方式构造的集群因为虚拟化方面的损耗还是较大，但是这对于测试环境已经够用了。
这里再看看以事务的方式提交，这样可以快不少。
mysql> begin;
Query OK, 0 rows affected (0.00 sec)
mysql> call sp_tb_test;
Query OK, 1 row affected (2.16 sec)
mysql> commit;
^GQuery OK, 0 rows affected (1.67 sec)