# Inserting and loading data into an Amazon Keyspaces table To create data in your `book_awards` table, use the `INSERT` statement to add a single row. 1. Open AWS CloudShell and connect to Amazon Keyspaces using the following command. Make sure to update *us-east-1* with your own Region. ``` cqlsh-expansion cassandra.us-east-1.amazonaws.com 9142 --ssl ``` The output of that command should look like this. ``` Connected to Amazon Keyspaces at cassandra.us-east-1.amazonaws.com:9142 [cqlsh 6.1.0 | Cassandra 3.11.2 | CQL spec 3.4.4 | Native protocol v4] Use HELP for help. cqlsh current consistency level is ONE. ``` 1. Before you can write data to your Amazon Keyspaces table using cqlsh, you must set the write consistency for the current cqlsh session to `LOCAL_QUORUM`. For more information about supported consistency levels, see [Write consistency levels](consistency.md#WriteConsistency). Note that this step is not required if you are using the CQL editor in the AWS Management Console. ``` CONSISTENCY LOCAL_QUORUM; ``` 1. To insert a single record, run the following command in the CQL editor. ``` INSERT INTO catalog.book_awards (award, year, category, rank, author, book_title, publisher) VALUES ('Wolf', 2023, 'Fiction',3,'Shirley Rodriguez','Mountain', 'AnyPublisher') ; ``` 1. Verify that the data was correctly added to your table by running the following command. ``` SELECT * FROM catalog.book_awards; ``` The output of the statement should look like this. ``` year | award | category | rank | author | book_title | publisher ------+-------+----------+------+-------------------+------------+-------------- 2023 | Wolf | Fiction | 3 | Shirley Rodriguez | Mountain | AnyPublisher (1 rows) ``` **To insert multiple records from a file using cqlsh** 1. Download the sample CSV file (`keyspaces_sample_table.csv`) contained in the archive file [samplemigration.zip](samples/samplemigration.zip). Unzip the archive and take note of the path to `keyspaces_sample_table.csv`. ![\[Screenshot of a CSV file showing the output of the table after importing the csv file.\]](http://docs.aws.amazon.com/keyspaces/latest/devguide/images/keyspaces-awards.png) 1. Open AWS CloudShell in the AWS Management Console and connect to Amazon Keyspaces using the following command. Make sure to update *us-east-1* with your own Region. ``` cqlsh-expansion cassandra.us-east-1.amazonaws.com 9142 --ssl ``` 1. At the `cqlsh` prompt (`cqlsh>`), specify a keyspace. ``` USE catalog ; ``` 1. Set write consistency to `LOCAL_QUORUM`. For more information about supported consistency levels, see [Write consistency levels](consistency.md#WriteConsistency). ``` CONSISTENCY LOCAL_QUORUM; ``` 1. In the AWS CloudShell choose **Actions** on the top right side of the screen and then choose **Upload file** to upload the csv file downloaded earlier. Take note of the path to the file. 1. At the keyspace prompt (`cqlsh:catalog>`), run the following statement. ``` COPY book_awards (award, year, category, rank, author, book_title, publisher) FROM '/home/cloudshell-user/keyspaces_sample_table.csv' WITH header=TRUE ; ``` The output of the statement should look similar to this. ``` cqlsh:catalog> COPY book_awards (award, year, category, rank, author, book_title, publisher) FROM '/home/cloudshell-user/keyspaces_sample_table.csv' WITH delimiter=',' AND header=TRUE ; cqlsh current consistency level is LOCAL_QUORUM. Reading options from /home/cloudshell-user/.cassandra/cqlshrc:[copy]: {'numprocesses': '16', 'maxattempts': '1000'} Reading options from /home/cloudshell-user/.cassandra/cqlshrc:[copy-from]: {'ingestrate': '1500', 'maxparseerrors': '1000', 'maxinserterrors': '-1', 'maxbatchsize': '10', 'minbatchsize': '1', 'chunksize': '30'} Reading options from the command line: {'delimiter': ',', 'header': 'TRUE'} Using 16 child processes Starting copy of catalog.book_awards with columns [award, year, category, rank, author, book_title, publisher]. OSError: handle is closed 0 rows/s; Avg. rate: 0 rows/s Processed: 9 rows; Rate: 0 rows/s; Avg. rate: 0 rows/s 9 rows imported from 1 files in 0 day, 0 hour, 0 minute, and 26.706 seconds (0 skipped). ``` 1. Verify that the data was correctly added to your table by running the following query. ``` SELECT * FROM book_awards ; ``` You should see the following output. ``` year | award | category | rank | author | book_title | publisher ------+------------------+-------------+------+--------------------+-----------------------+--------------- 2020 | Wolf | Non-Fiction | 1 | Wang Xiulan | History of Ideas | Example Books 2020 | Wolf | Non-Fiction | 2 | Ana Carolina Silva | Science Today | SomePublisher 2020 | Wolf | Non-Fiction | 3 | Shirley Rodriguez | The Future of Sea Ice | AnyPublisher 2020 | Kwesi Manu Prize | Fiction | 1 | Akua Mansa | Where did you go? | SomePublisher 2020 | Kwesi Manu Prize | Fiction | 2 | John Stiles | Yesterday | Example Books 2020 | Kwesi Manu Prize | Fiction | 3 | Nikki Wolf | Moving to the Chateau | AnyPublisher 2020 | Richard Roe | Fiction | 1 | Alejandro Rosalez | Long Summer | SomePublisher 2020 | Richard Roe | Fiction | 2 | Arnav Desai | The Key | Example Books 2020 | Richard Roe | Fiction | 3 | Mateo Jackson | Inside the Whale | AnyPublisher (9 rows) ``` To learn more about using `cqlsh COPY` to upload data from csv files to an Amazon Keyspaces table, see [Tutorial: Loading data into Amazon Keyspaces using cqlsh](bulk-upload.md).