Treasure Data Toolbelt: Command-line Interface
The Treasure Data CLI (‘Command Line Interface’ or ‘Toolbelt’) allows you to create databases and tables, import/export data into/from the tables, set and modify the table schema, issue queries, monitor job status, view and download job results, create schedule queries, and much more.
Table of Contents
Step 1: Installation & Update
Install the Treasure Data Toolbelt to set up your local workstation with
td, the Treasure Data command-line client. Please refer to the Installing the Treasure Data CLI documentation page for information on how to install the CLI in various environments.
The page also contains important information about Updating the
Step 2: Authorize
Once you’ve installed the toolbelt, you’ll have access to the
td command from your command line. The next you need to setup the credentials for your account.
There are two ways to sign up: password based authentication and Google Single Sign On. Regardless on how your signed up, the toolbelt requires your TD API key to authorize its requests – the information will be saved in the ~/.td/td.conf file for future use onwards. Here is how you set it up:
You can setup the account credentials with the
td account command. Please use the user name and password you used when you signed up:
$ td -e https://api.treasuredata.com account -f Email: email@example.com Password (typing will be hidden): Authenticated successfully.
This command will create or update the ~/.td/td.conf file with your master API key.
Google SSO Users
$ td apikey:set <your_apikey>
This command will create or update the ~/.td/td.conf file with the provided API key.
The default endpoint is also setup in the configuration file – if you need to setup a different endpoint, use the
td server:endpoint command:
$ td server:endpoint https://api.treasuredata.com
Step 3: Query the Sample Dataset
Let’s issue an SQL query. Out of the box, we have a table called www_access in the dabase called sample_datasets. The following query calculates the distribution of HTTP status codes.
$ td query -w -d sample_datasets \ "SELECT code, COUNT(1) AS cnt FROM www_access GROUP BY code" queued... started at 2012-04-10T23:44:41Z 2012-04-10 23:43:12,692 Stage-1 map = 0%, reduce = 0% 2012-04-10 23:43:18,766 Stage-1 map = 100%, reduce = 0% 2012-04-10 23:43:29,925 Stage-1 map = 100%, reduce = 33% 2012-04-10 23:43:32,973 Stage-1 map = 100%, reduce = 100% Status : success Result : +------+------+ | code | cnt | +------+------+ | 404 | 17 | | 500 | 2 | | 200 | 4981 | +------+------+
The command above will take about 15-45 seconds, owing mainly to the overhead in setting up jobs within the cloud-based MapReduce engine.
Issue Query Idempotent by Domain Key for your batch
td command v 0.14 or later,
domain keyis supported.
domain key makes job submission retries idempotent.
$ td query -d sample_datasets --domain-key domainkey-test -T presto "select * from www_access" Job 92034375 is queued. Use 'td job:show 92034375' to show the status. # If you couldn't get the job id by any errors, you could retry to issue same query with same domain name again $ td query -d sample_datasets --domain-key domainkey-test -T presto "select * from www_access" Error: Query failed: ["Domain key has already been taken"]: conflicts_with job:92034375
Step 4: Import Data Into A Table
You’re now ready to import your real data to the cloud! The following tutorials will explain how to import your data (e.g. Application Logs, Middleware Logs) from various sources. For a deeper understanding of the platform, please refer to the architecture overview article.
This example shows how to use the CLI to generate a sample apache log in json format and import it into a brand new table in the ‘sample_datasets’ database.
$ td sample:apache sample_apache.json $ td table:import sample_datasets sample_tbl \ --auto-create-table -f json sample_apache.json
Languages and Frameworks
|Ruby or Rails||Java||Perl|
td help:all shows the commands available in Treasure Data:
$ td help:all database:list # Show list of tables in a database database:show <db> # Describe a information of a database database:create <db> # Create a database database:delete <db> # Delete a database ....
If you want more information about individual commands, you can run
td help <command>:<subcommand>, e.g.,
$ td help table:list usage: $ td table:list [db] example: $ td table:list $ td table:list example_db $ td tables description: Show list of tables options: -n, --num_threads VAL number of threads to get list in parallel --show-bytes show estimated table size in bytes
See the td command line tool reference page for a complete list of commands and their helpers.
Last modified: Mar 28 2017 00:44:35 UTC