HIVE - 将 select 语句的结果作为多条记录插入配置单元 table 而不覆盖现有内容
HIVE - insert result of a select statement as multiple records into a hive table without overwriting existing content
我有一个来自以下命令的 table:
CREATE TABLE treatment_costs AS SELECT * FROM
(SELECT r.patient_id, r.transaction_date, r.paid_transaction_amount, o.dob, o.department_name, o.reason_of_visit FROM ReceiptTransactions r
LEFT OUTER JOIN OpdPatientQ o ON (r.patient_id = o.patient_id)
);
我现在想将今天(给定日期)插入的所有记录插入到上面table。为此,我写了:
INSERT INTO TABLE treatment_costs SELECT * FROM
(SELECT r.patient_id, r.transaction_date, r.paid_transaction_amount, o.dob, o.department_name, o.reason_of_visit FROM ReceiptTransactions r WHERE timestamp_column = today_date
LEFT OUTER JOIN OpdPatientQ o ON (r.patient_id = o.patient_id)
);
这是将多个查询插入 table 的正确方法吗?
编辑 1:
例如我的 table treatment_costs
的内容是这些行:
patient_id, transaction_date, paid_transaction_amount, dob, department_name, reason_of_visit
001 01/01/2014 30000 01/01/1985 Cardiology reason_1
002 01/01/2014 35000 01/01/1975 Cardiology reason_2
003 02/01/2014 40000 01/01/1965 Oncology reason_3
004 02/01/2014 30000 01/01/1985 Cardiology reason_4
005 02/01/2014 20000 01/01/1975 Gynecology reason_5
我现在的疑问是插入查询中的 select 语句,即:
SELECT * FROM
(SELECT r.patient_id, r.transaction_date, r.paid_transaction_amount, o.dob, o.department_name, o.reason_of_visit FROM ReceiptTransactions r WHERE timestamp_column = today_date
LEFT OUTER JOIN OpdPatientQ o ON (r.patient_id = o.patient_id)
);
,例如,给出以下结果:
patient_id, transaction_date, paid_transaction_amount, dob, department_name, reason_of_visit
011 01/01/2015 30000 01/01/1986 Cardiology reason_11
012 01/01/2015 35000 01/01/1976 Cardiology reason_21
013 02/01/2015 40000 01/01/1966 Oncology reason_31
014 02/01/2015 30000 01/01/1986 Cardiology reason_41
015 02/01/2015 20000 01/01/1976 Gynecology reason_51
而且,执行插入查询后我的table的内容会像下面这样吗?
patient_id, transaction_date, paid_transaction_amount, dob, department_name, reason_of_visit
001 01/01/2014 30000 01/01/1985 Cardiology reason_1
002 01/01/2014 35000 01/01/1975 Cardiology reason_2
003 02/01/2014 40000 01/01/1965 Oncology reason_3
004 02/01/2014 30000 01/01/1985 Cardiology reason_4
005 02/01/2014 20000 01/01/1975 Gynecology reason_5
011 01/01/2015 30000 01/01/1986 Cardiology reason_11
012 01/01/2015 35000 01/01/1976 Cardiology reason_21
013 02/01/2015 40000 01/01/1966 Oncology reason_31
014 02/01/2015 30000 01/01/1986 Cardiology reason_41
015 02/01/2015 20000 01/01/1976 Gynecology reason_51
INSERT INTO will append to the table or partition, keeping the
existing data intact.
INSERT INTO TABLE ...
不会覆盖 table 中已经存在的任何数据。您拥有的 INSERT
查询将 运行 一个 MapReduce(基于引擎类型)作业,它将新生成的文件写入 table 位置而不删除现有文件。
我有一个来自以下命令的 table:
CREATE TABLE treatment_costs AS SELECT * FROM
(SELECT r.patient_id, r.transaction_date, r.paid_transaction_amount, o.dob, o.department_name, o.reason_of_visit FROM ReceiptTransactions r
LEFT OUTER JOIN OpdPatientQ o ON (r.patient_id = o.patient_id)
);
我现在想将今天(给定日期)插入的所有记录插入到上面table。为此,我写了:
INSERT INTO TABLE treatment_costs SELECT * FROM
(SELECT r.patient_id, r.transaction_date, r.paid_transaction_amount, o.dob, o.department_name, o.reason_of_visit FROM ReceiptTransactions r WHERE timestamp_column = today_date
LEFT OUTER JOIN OpdPatientQ o ON (r.patient_id = o.patient_id)
);
这是将多个查询插入 table 的正确方法吗?
编辑 1:
例如我的 table treatment_costs
的内容是这些行:
patient_id, transaction_date, paid_transaction_amount, dob, department_name, reason_of_visit
001 01/01/2014 30000 01/01/1985 Cardiology reason_1
002 01/01/2014 35000 01/01/1975 Cardiology reason_2
003 02/01/2014 40000 01/01/1965 Oncology reason_3
004 02/01/2014 30000 01/01/1985 Cardiology reason_4
005 02/01/2014 20000 01/01/1975 Gynecology reason_5
我现在的疑问是插入查询中的 select 语句,即:
SELECT * FROM
(SELECT r.patient_id, r.transaction_date, r.paid_transaction_amount, o.dob, o.department_name, o.reason_of_visit FROM ReceiptTransactions r WHERE timestamp_column = today_date
LEFT OUTER JOIN OpdPatientQ o ON (r.patient_id = o.patient_id)
);
,例如,给出以下结果:
patient_id, transaction_date, paid_transaction_amount, dob, department_name, reason_of_visit
011 01/01/2015 30000 01/01/1986 Cardiology reason_11
012 01/01/2015 35000 01/01/1976 Cardiology reason_21
013 02/01/2015 40000 01/01/1966 Oncology reason_31
014 02/01/2015 30000 01/01/1986 Cardiology reason_41
015 02/01/2015 20000 01/01/1976 Gynecology reason_51
而且,执行插入查询后我的table的内容会像下面这样吗?
patient_id, transaction_date, paid_transaction_amount, dob, department_name, reason_of_visit
001 01/01/2014 30000 01/01/1985 Cardiology reason_1
002 01/01/2014 35000 01/01/1975 Cardiology reason_2
003 02/01/2014 40000 01/01/1965 Oncology reason_3
004 02/01/2014 30000 01/01/1985 Cardiology reason_4
005 02/01/2014 20000 01/01/1975 Gynecology reason_5
011 01/01/2015 30000 01/01/1986 Cardiology reason_11
012 01/01/2015 35000 01/01/1976 Cardiology reason_21
013 02/01/2015 40000 01/01/1966 Oncology reason_31
014 02/01/2015 30000 01/01/1986 Cardiology reason_41
015 02/01/2015 20000 01/01/1976 Gynecology reason_51
INSERT INTO will append to the table or partition, keeping the existing data intact.
INSERT INTO TABLE ...
不会覆盖 table 中已经存在的任何数据。您拥有的 INSERT
查询将 运行 一个 MapReduce(基于引擎类型)作业,它将新生成的文件写入 table 位置而不删除现有文件。