In Snowflake, data insertion is performed to insert data into a newly created table or existing table. For inserting data, we will use the columns list. In this blog, we will learn how to insert data with and without columns.
Snowflake Insertion operation updates the table by inserting multiple rows into a table. Values inserted into every column in the table can be externally defined or the results of the query. We can insert the data with parameters and without parameters. This “How to Insert Data in Snowflake” blog discusses inserting data through different techniques.
In Snowflake, data insertion is a very easy process. By specifying the values, we can insert the data into Snowflake tables. The important aspect is we have to pass every value in order. For example, if we have 15 columns, we have to specify 15 columns.
Insert into sessions1 values (2, ‘2022-03-10 10:15:19.400’, ‘2022-04-10 10:35:19.400’, 1);
Specifying Columns list before the “VALUES
” is highly recommended:
Insert into sessions1 (id, start_date, end_date, category)
Values (13, ‘2022-03-09 16:15:19.500’, ‘2022-03-11 17:53:57.753’, 2);
After specifying the column list, we don’t need to remember the column order as specified in the Snowflake table.
Insert into sessions1 (category, id, start_date, end_date)
values(2,3, ‘2022-06-08 15:05:15.500’, ‘2022:08:10 17:07:53.600’);
If we include the Columns list, we can have the following advantages:
INSERT
” statements without the column lists are disproved when the column is removed or added from a table. We have to change the query to impact the deleted or new column in order to work again. Preparing for Snowflake Interview? Here’s Top Snowflake Interview Questions and Answers |
For example, if you have various columns, we have to specify only some columns:
Insert into sessions1(start_date, id) values (5, ‘2022-05-03 15:17:35.600’);
Using a Single “INSERT
” statement, we can insert multiple rows by enclosing multiple set of values enveloped in the parenthesis:
Insert into sessions1 (category, start_date, end_date, id)
values
(7, ‘2022-05-03 16:10:25.500’, ‘2022-03-04 17:15:45.553’, 5),
(6, ‘2022-03-05 17:20:25.300’, ‘2022-09-05 18:25:10.500’, 6),
(8, ‘2022-05-07 19:15:20.200’, ‘2022-07-09 21:05:09.600’, 7);
We can also utilise the “CREATE TABLE
” with the “SELECT
” command for copying the data from the existing table.
---excluding the column list specification
Create table sessions_dm_2 as
Select *
from sessions1
Where id <=6
If we have to insert the data into the JSON column, just enclose valid JSON in a quoted string
Insert into sessions1(dates) values( ‘ {“start_date”: “2022-05-07 17:10:20.600”, “end_date”: “2022-08-09 16:12:25.180”}’);
As Snowflake is data storage and process platform, hence data insertion is an essential process. We hope this blog will provide you with the necessary knowledge on data insertion.
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Viswanath is a passionate content writer of Mindmajix. He has expertise in Trending Domains like Data Science, Artificial Intelligence, Machine Learning, Blockchain, etc. His articles help the learners to get insights about the Domain. You can reach him on Linkedin