我仍然是一个非常漂亮的绿色新手，他的任务仍然非常繁琐。我需要将61个列中的58个从tableA移动到tableB。 tableA有61列，只有15行，tableB现在有58列，零行。我已经阅读了多个关于如何实现这一目标的来源（将数据从一个表格移动到相关的表格），但没有一个具体谈论我正在处理的这个特殊情况。
为了使事情进一步复杂化，第二个表没有与第一个表的顺序相同的列，因此这也带来了问题。这篇SO帖子似乎很有希望，但它正在使用一个小得多的数据集：SQL: Move column data to other table in same relation。这一个也类似MYSQL - Move data from one table to a related one?。问题是他们都从一张较小的桌子搬到一张较大的桌子，而不是相对于他们。
这是我尝试进行此转换的初始查询（并且由于包含的错误指示不成功）：
INSERT INTO tableB SELECT * FROM tableA;
ERROR 1136 (21S01): Column count doesn't match value count at row 1
tableA
+-------------------------------+------------------+------+-----+-------------------+-----------------------------+
| Field | Type | Null | Key | Default | Extra |
+-------------------------------+------------------+------+-----+-------------------+-----------------------------+
| id | int(11) unsigned | NO | PRI | NULL | auto_increment |
| staff_fk | int(11) unsigned | NO | | NULL | |
| hire_date | date | NO | | NULL | |
| position | varchar(75) | NO | | NULL | |
| manager | varchar(75) | NO | | NULL | |
| employment_application | char(1) | NO | | i | |
| resume | char(1) | NO | | i | |
| references_checked | char(1) | NO | | i | |
| new_hire_letter | char(1) | NO | | i | |
| clinical_training_initiated | char(1) | NO | | i | |
| name_badge_ordered | char(1) | NO | | i | |
| keycode_access | char(1) | NO | | i | |
| tf_up_setup | char(1) | NO | | i | |
| un_pw_setup | char(1) | NO | | i | |
| drug_screen | char(1) | NO | | i | |
| background_investigation | char(1) | NO | | i | |
| licenses_education_verified | char(1) | NO | | i | |
| cpr | char(1) | NO | | i | |
| clinic_tour_introductions | char(1) | NO | | i | |
| sick_tardy_phone_notification | char(1) | NO | | i | |
| work_sched_start_time | char(1) | NO | | i | |
| paydays | char(1) | NO | | i | |
| ds_pto | char(1) | NO | | i | |
| attendance_tardiness | char(1) | NO | | i | |
| evacuation_plan | char(1) | NO | | i | |
| osha | char(1) | NO | | i | |
| emp_handbook_receipt | char(1) | NO | | i | |
| internet_email_phone_usage | char(1) | NO | | i | |
| parking_building_access | char(1) | NO | | i | |
| dress_grooming | char(1) | NO | | i | |
| inclement_weather | char(1) | NO | | i | |
| mileage | char(1) | NO | | i | |
| hipaa_training | char(1) | NO | | i | |
| direct_deposit_auth | char(1) | NO | | i | |
| i9 | char(1) | NO | | i | |
| w4 | char(1) | NO | | i | |
| valid_id | char(1) | NO | | i | |
| update_ext_list | char(1) | NO | | i | |
| emerg_contact_form | char(1) | NO | | i | |
| med_dent_life_vision | char(1) | NO | | i | |
| 401k_pen_sh | char(1) | NO | | i | |
| centricity_access | char(1) | NO | | i | |
| centricity_training | char(1) | NO | | i | |
| phone_training | char(1) | NO | | i | |
| create_active_dir_account | char(1) | NO | | i | |
| email_access | char(1) | NO | | i | |
| drive_access | char(1) | NO | | i | |
| mcafee | char(1) | NO | | i | |
| hr_enrollment_forms | char(1) | NO | | i | |
| ds_signoff | char(1) | NO | | i | |
| ds_clincial_signoff | char(1) | NO | | i | |
| completed | datetime | YES | | NULL | |
| created | datetime | NO | | NULL | |
| last_update | timestamp | NO | | CURRENT_TIMESTAMP | on update CURRENT_TIMESTAMP |
| portal_access | char(1) | NO | | i | |
| harvest | char(1) | NO | | i | |
| imms_link | char(1) | NO | | i | |
| eprescribe | char(1) | NO | | i | |
| state_alert_access | char(1) | NO | | i | |
| phone_agent | char(1) | NO | | i | |
| pc_tablet_setup | char(1) | NO | | i | |
+-------------------------------+------------------+------+-----+-------------------+-----------------------------+
61 rows in set (0.00 sec)
tableB:
+-------------------------------+------------------+------+-----+-------------------+-----------------------------+
| Field | Type | Null | Key | Default | Extra |
+-------------------------------+------------------+------+-----+-------------------+-----------------------------+
| id | int(11) unsigned | NO | PRI | NULL | auto_increment |
| staff_fk | int(11) unsigned | NO | | NULL | |
| employment_application | char(1) | NO | | i | |
| resume | char(1) | NO | | i | |
| references_checked | char(1) | NO | | i | |
| new_hire_letter | char(1) | NO | | i | |
| clinical_training_initiated | char(1) | NO | | i | |
| name_badge_ordered | char(1) | NO | | i | |
| keycode_access | char(1) | NO | | i | |
| tf_up_setup | char(1) | NO | | i | |
| un_pw_setup | char(1) | NO | | i | |
| drug_screen | char(1) | NO | | i | |
| background_investigation | char(1) | NO | | i | |
| licenses_education_verified | char(1) | NO | | i | |
| cpr | char(1) | NO | | i | |
| clinic_tour_introductions | char(1) | NO | | i | |
| sick_tardy_phone_notification | char(1) | NO | | i | |
| work_sched_start_time | char(1) | NO | | i | |
| paydays | char(1) | NO | | i | |
| ds_pto | char(1) | NO | | i | |
| attendance_tardiness | char(1) | NO | | i | |
| evacuation_plan | char(1) | NO | | i | |
| osha | char(1) | NO | | i | |
| emp_handbook_receipt | char(1) | NO | | i | |
| internet_email_phone_usage | char(1) | NO | | i | |
| parking_building_access | char(1) | NO | | i | |
| dress_grooming | char(1) | NO | | i | |
| inclement_weather | char(1) | NO | | i | |
| mileage | char(1) | NO | | i | |
| hipaa_training | char(1) | NO | | i | |
| direct_deposit_auth | char(1) | NO | | i | |
| i9 | char(1) | NO | | i | |
| w4 | char(1) | NO | | i | |
| valid_id | char(1) | NO | | i | |
| update_ext_list | char(1) | NO | | i | |
| emerg_contact_form | char(1) | NO | | i | |
| med_dent_life_vision | char(1) | NO | | i | |
| 401k_pen_sh | char(1) | NO | | i | |
| centricity_access | char(1) | NO | | i | |
| centricity_training | char(1) | NO | | i | |
| phone_training | char(1) | NO | | i | |
| create_active_dir_account | char(1) | NO | | i | |
| email_access | char(1) | NO | | i | |
| drive_access | char(1) | NO | | i | |
| mcafee | char(1) | NO | | i | |
| portal_access | char(1) | NO | | i | |
| harvest | char(1) | NO | | i | |
| imms_link | char(1) | NO | | i | |
| eprescribe | char(1) | NO | | i | |
| state_alert_access | char(1) | NO | | i | |
| phone_agent | char(1) | NO | | i | |
| pc_tablet_setup | char(1) | NO | | i | |
| hr_enrollment_forms | char(1) | NO | | i | |
| ds_signoff | char(1) | NO | | i | |
| ds_clincial_signoff | char(1) | NO | | i | |
| completed | datetime | YES | | NULL | |
| created | timestamp | NO | | CURRENT_TIMESTAMP | |
| last_update | timestamp | NO | | CURRENT_TIMESTAMP | on update CURRENT_TIMESTAMP |
+-------------------------------+------------------+------+-----+-------------------+-----------------------------+
58 rows in set (0.01 sec)
如果有人想看到它们，我会包含模式。
我想知道是否有办法在没有明确标记INSERT INTO语句中的每一列的情况下执行此操作。任何帮助将不胜感激！
答案 0 :(得分：2)
不，没有标记每一列就没有办法做到这一点。 SQL中没有SELECT *_except_for_a_few_columns
您可以生成INFORMATION_SCHEMA中的列列表，这样您就可以减少繁琐的输入：
SELECT GROUP_CONCAT(column_name ORDER BY ordinal_position) AS _cols
FROM INFORMATION_SCHEMA.COLUMNS
WHERE table_schema = 'mydatabase' AND table_name = 'tableA'
AND column_name NOT IN ('do', 'not', 'want')
为了使事情更复杂，第二个表没有与第一个表相同的列...
如果两列中的列至少具有相同的名称，则可以在INSERT语句中使用列列表，而不管表中定义的那些列的自然序号位置如何。换句话说，以下工作：
INSERT INTO tableB (col1, col4, col2, col6, col9)
SELECT col1, col4, col2, col6, col9 FROM tableA;
如果列数，订单，和名称不同，我建议您仔细检查您是否正在插入正确的表格！ ： - ）
答案 1 :(得分：1)
是的并且该错误非常简单，并且表示您无法使用*并且需要明确指定列名称
INSERT INTO tableB
SELECT col1, col2, col3, ..., col58 FROM tableA;