INSERT INTO
Description
The INSERT INTO statement inserts new rows into a table. The inserted rows can be specified by value expressions or result from a query.
Syntax
INSERT INTO [ TABLE ] table_identifier [ partition_spec ] [ ( column_list ) ]
{ VALUES ( { value | NULL } [ , ... ] ) [ , ( ... ) ] | query }
Parameters
-
table_identifier
Specifies a table name, which may be optionally qualified with a database name.
Syntax:
[ database_name. ] table_name -
partition_spec
An optional parameter that specifies a comma-separated list of key and value pairs for partitions. Note that one can use a typed literal (e.g., date’2019-01-02’) in the partition spec.
Syntax:
PARTITION ( partition_col_name = partition_col_val [ , ... ] ) -
column_list
An optional parameter that specifies a comma-separated list of columns belonging to the
table_identifiertable. Spark will reorder the columns of the input query to match the table schema according to the specified column list.Note:The current behaviour has some limitations:
- All specified columns should exist in the table and not be duplicated from each other. It includes all columns except the static partition columns.
- The size of the column list should be exactly the size of the data from
VALUESclause or query.
-
VALUES ( { value
|NULL } [ , … ] ) [ , ( … ) ]Specifies the values to be inserted. Either an explicitly specified value or a NULL can be inserted. A comma must be used to separate each value in the clause. More than one set of values can be specified to insert multiple rows.
-
query
A query that produces the rows to be inserted. It can be in one of following formats:
- a
SELECTstatement - a
TABLEstatement - a
FROMstatement
- a
Examples
Single Row Insert Using a VALUES Clause
CREATE TABLE students (name VARCHAR(64), address VARCHAR(64))
USING PARQUET PARTITIONED BY (student_id INT);
INSERT INTO students VALUES
('Amy Smith', '123 Park Ave, San Jose', 111111);
SELECT * FROM students;
+---------+----------------------+----------+
| name| address|student_id|
+---------+----------------------+----------+
|Amy Smith|123 Park Ave, San Jose| 111111|
+---------+----------------------+----------+
Multi-Row Insert Using a VALUES Clause
INSERT INTO students VALUES
('Bob Brown', '456 Taylor St, Cupertino', 222222),
('Cathy Johnson', '789 Race Ave, Palo Alto', 333333);
SELECT * FROM students;
+-------------+------------------------+----------+
| name| address|student_id|
+-------------+------------------------+----------+
| Amy Smith| 123 Park Ave, San Jose| 111111|
+-------------+------------------------+----------+
| Bob Brown|456 Taylor St, Cupertino| 222222|
+-------------+------------------------+----------+
|Cathy Johnson| 789 Race Ave, Palo Alto| 333333|
+--------------+-----------------------+----------+
Insert Using a SELECT Statement
-- Assuming the persons table has already been created and populated.
SELECT * FROM persons;
+-------------+--------------------------+---------+
| name| address| ssn|
+-------------+--------------------------+---------+
|Dora Williams|134 Forest Ave, Menlo Park|123456789|
+-------------+--------------------------+---------+
| Eddie Davis| 245 Market St, Milpitas|345678901|
+-------------+--------------------------+---------+
INSERT INTO students PARTITION (student_id = 444444)
SELECT name, address FROM persons WHERE name = "Dora Williams";
SELECT * FROM students;
+-------------+--------------------------+----------+
| name| address|student_id|
+-------------+--------------------------+----------+
| Amy Smith| 123 Park Ave, San Jose| 111111|
+-------------+--------------------------+----------+
| Bob Brown| 456 Taylor St, Cupertino| 222222|
+-------------+--------------------------+----------+
|Cathy Johnson| 789 Race Ave, Palo Alto| 333333|
+-------------+--------------------------+----------+
|Dora Williams|134 Forest Ave, Menlo Park| 444444|
+-------------+--------------------------+----------+
Insert Using a TABLE Statement
-- Assuming the visiting_students table has already been created and populated.
SELECT * FROM visiting_students;
+-------------+---------------------+----------+
| name| address|student_id|
+-------------+---------------------+----------+
|Fleur Laurent|345 Copper St, London| 777777|
+-------------+---------------------+----------+
|Gordon Martin| 779 Lake Ave, Oxford| 888888|
+-------------+---------------------+----------+
INSERT INTO students TABLE visiting_students;
SELECT * FROM students;
+-------------+--------------------------+----------+
| name| address|student_id|
+-------------+--------------------------+----------+
| Amy Smith| 123 Park Ave, San Jose| 111111|
+-------------+--------------------------+----------+
| Bob Brown| 456 Taylor St, Cupertino| 222222|
+-------------+--------------------------+----------+
|Cathy Johnson| 789 Race Ave, Palo Alto| 333333|
+-------------+--------------------------+----------+
|Dora Williams|134 Forest Ave, Menlo Park| 444444|
+-------------+--------------------------+----------+
|Fleur Laurent| 345 Copper St, London| 777777|
+-------------+--------------------------+----------+
|Gordon Martin| 779 Lake Ave, Oxford| 888888|
+-------------+--------------------------+----------+
Insert Using a FROM Statement
-- Assuming the applicants table has already been created and populated.
SELECT * FROM applicants;
+-----------+--------------------------+----------+---------+
| name| address|student_id|qualified|
+-----------+--------------------------+----------+---------+
|Helen Davis| 469 Mission St, San Diego| 999999| true|
+-----------+--------------------------+----------+---------+
| Ivy King|367 Leigh Ave, Santa Clara| 101010| false|
+-----------+--------------------------+----------+---------+
| Jason Wang| 908 Bird St, Saratoga| 121212| true|
+-----------+--------------------------+----------+---------+
INSERT INTO students
FROM applicants SELECT name, address, id applicants WHERE qualified = true;
SELECT * FROM students;
+-------------+--------------------------+----------+
| name| address|student_id|
+-------------+--------------------------+----------+
| Amy Smith| 123 Park Ave, San Jose| 111111|
+-------------+--------------------------+----------+
| Bob Brown| 456 Taylor St, Cupertino| 222222|
+-------------+--------------------------+----------+
|Cathy Johnson| 789 Race Ave, Palo Alto| 333333|
+-------------+--------------------------+----------+
|Dora Williams|134 Forest Ave, Menlo Park| 444444|
+-------------+--------------------------+----------+
|Fleur Laurent| 345 Copper St, London| 777777|
+-------------+--------------------------+----------+
|Gordon Martin| 779 Lake Ave, Oxford| 888888|
+-------------+--------------------------+----------+
| Helen Davis| 469 Mission St, San Diego| 999999|
+-------------+--------------------------+----------+
| Jason Wang| 908 Bird St, Saratoga| 121212|
+-------------+--------------------------+----------+
Insert Using a Typed Date Literal for a Partition Column Value
CREATE TABLE students (name STRING, address STRING) PARTITIONED BY (birthday DATE);
INSERT INTO students PARTITION (birthday = date'2019-01-02')
VALUES ('Amy Smith', '123 Park Ave, San Jose');
SELECT * FROM students;
+-------------+-------------------------+-----------+
| name| address| birthday|
+-------------+-------------------------+-----------+
| Amy Smith| 123 Park Ave, San Jose| 2019-01-02|
+-------------+-------------------------+-----------+
#### Insert with a column list
```sql
INSERT INTO students (address, name, student_id) VALUES
('Hangzhou, China', 'Kent Yao', 11215016);
SELECT * FROM students WHERE name = 'Kent Yao';
+---------+----------------------+----------+
| name| address|student_id|
+---------+----------------------+----------+
|Kent Yao | Hangzhou, China| 11215016|
+---------+----------------------+----------+
Insert with both a partition spec and a column list
INSERT INTO students PARTITION (student_id = 11215017) (address, name) VALUES
('Hangzhou, China', 'Kent Yao Jr.');
SELECT * FROM students WHERE student_id = 11215017;
+------------+----------------------+----------+
| name| address|student_id|
+------------+----------------------+----------+
|Kent Yao Jr.| Hangzhou, China| 11215017|
+------------+----------------------+----------+