Data Connector for Shopify

This article describes how to use the data connector for Shopify, which allows you to directly import data from your Shopify to Treasure Data.

Table of Contents

Prerequisites

  • Basic knowledge of Treasure Data
  • Basic knowledge of Shopify

Step 0: Install ‘td’ command v0.11.9 or later

You can install the newest Treasure Data Toolbelt.

$ td --version
0.15.0

Step 1: Create Configuration File

Prepare configuration file (for eg: load.yml) like below, with your Shopify account access information.

in:
  type: shopify
  apikey: xxxxxxxx
  password: xxxxxxx
  target: products
  store_name: xxxxxxx
  from_date: '2016-09-07'
  fetch_days: 2 (optional)
out:
  mode: replace

This example dumps Shopify product objects. apikey and password are Shopify provided valid APIKey and password. store_name is the name of the store for which data needs to be fetched. We can shopify object for which data needs to be fetched from store as target option.

Below steps needs to follow to get Shopify Credentials.

  1. Sign up at https://www.shopify.com/ which will create an online store for the user

  2. Enter the details of the user

  3. Enter the additional details regarding business

  4. Create a private app

  5. User will be able to use/see the API credentials for store to connect with different external applications

For more details on available out modes, see Appendix

Step 2(optional): Preview data to imported

You can preview data to be imported using the command td connector:preview.

$ td connector:preview load.yml
+---------+--------------+------------------+----
| id:long | title:string | body_html:string | ...
+---------+--------------+------------------+----
| 1       | "33"         | <p>body_html<p>  |
| 2       | "34"         | <p>body_html<p>  |
| 3       | "35"         | <p>body_html<p>  |
| 4       | "36"         | <p>body_html<p>  |
| 6       | "37"         | <p>body_html<p>  |
+---------+--------------+------------------+----

Step 3: Execute Load Job

Finally, submit the load job. It may take a couple of hours depending on the data size. Users need to specify the database and table where their data are stored.

It is recommended to specify --time-column option, since Treasure Data’s storage is partitioned by time (see also architecture) If the option is not given, the Data Connector will choose the first long or timestamp column as the partitioning time. The type of the column specified by --time-column must be either of long and timestamp type.

If your data doesn’t have a time column you may add it using add_time filter option. More details at add_time filter plugin

$ td connector:issue load.yml --database td_sample_db --table td_sample_table --time-column created_at

The above command assumes you have already created database(td_sample_db) and table(td_sample_table). If the database or the table do not exist in TD this command will not succeed, so create the database and table manually or use --auto-create-table option with td connector:issue command to auto create the database and table:

$ td connector:issue load.yml --database td_sample_db --table td_sample_table --time-column created_at --auto-create-table
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You can assign Time Format column to the "Partitioning Key" by "--time-column" option.

Scheduled execution

You can schedule periodic Data Connector execution for periodic Shopify import. We take great care in distributing and operating our scheduler in order to achieve high availability. By using this feature, you no longer need a cron daemon on your local datacenter.

Create the schedule

A new schedule can be created using the td connector:create command. The name of the schedule, cron-style schedule, the database and table where their data will be stored, and the Data Connector configuration file are required.

$ td connector:create \
    daily_shopify_import \
    "10 0 * * *" \
    td_sample_db \
    td_sample_table \
    load.yml
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The `cron` parameter also accepts these three options: `@hourly`, `@daily` and `@monthly`.
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By default, schedule is setup in UTC timezone. You can set the schedule in a timezone using -t or --timezone option. Please note that `--timezone` option only supports extended timezone formats like 'Asia/Tokyo', 'America/Los_Angeles' etc. Timezone abbreviations like PST, CST are *not* supported and may lead to unexpected schedules.

List the Schedules

You can see the list of currently scheduled entries by td connector:list.

$ td connector:list
+-----------------------+--------------+----------+-------+--------------+-----------------+----------------------------+
| Name                  | Cron         | Timezone | Delay | Database     | Table           | Config                     |
+-----------------------+--------------+----------+-------+--------------+-----------------+----------------------------+
| daily_shopify_import  | 10 0 * * *   | UTC      | 0     | td_sample_db | td_sample_table | {"type"=>"shopify", ... }  |
+-----------------------+--------------+----------+-------+--------------+-----------------+----------------------------+

Show the Setting and History of Schedules

td connector:show shows the execution setting of a schedule entry.

% td connector:show daily_shopify_import
Name     : daily_shopify_import
Cron     : 10 0 * * *
Timezone : UTC
Delay    : 0
Database : td_sample_db
Table    : td_sample_table

td connector:history shows the execution history of a schedule entry. To investigate the results of each individual execution, please use td job <jobid>.

% td connector:history daily_shopify_import
+--------+---------+---------+--------------+-----------------+----------+---------------------------+----------+
| JobID  | Status  | Records | Database     | Table           | Priority | Started                   | Duration |
+--------+---------+---------+--------------+-----------------+----------+---------------------------+----------+
| 578066 | success | 10000   | td_sample_db | td_sample_table | 0        | 2015-04-18 00:10:05 +0000 | 160      |
| 577968 | success | 10000   | td_sample_db | td_sample_table | 0        | 2015-04-17 00:10:07 +0000 | 161      |
| 577914 | success | 10000   | td_sample_db | td_sample_table | 0        | 2015-04-16 00:10:03 +0000 | 152      |
| 577872 | success | 10000   | td_sample_db | td_sample_table | 0        | 2015-04-15 00:10:04 +0000 | 163      |
| 577810 | success | 10000   | td_sample_db | td_sample_table | 0        | 2015-04-14 00:10:04 +0000 | 164      |
| 577766 | success | 10000   | td_sample_db | td_sample_table | 0        | 2015-04-13 00:10:04 +0000 | 155      |
| 577710 | success | 10000   | td_sample_db | td_sample_table | 0        | 2015-04-12 00:10:05 +0000 | 156      |
| 577610 | success | 10000   | td_sample_db | td_sample_table | 0        | 2015-04-11 00:10:04 +0000 | 157      |
+--------+---------+---------+--------------+-----------------+----------+---------------------------+----------+
8 rows in set

Delete the Schedule

td connector:delete will remove the schedule.

$ td connector:delete daily_shopify_import

Appendix

A) Modes for out plugin

You can specify file import mode in out section of load.yml.

append (default)

This is the default mode and records are appended to the target table.

in:
  ...
out:
  mode: append

replace (In td 0.11.10 and later)

This mode replaces data in the target table. Please note that any manual schema changes made to the target table will remain intact with this mode.

in:
  ...
out:
  mode: replace

Last modified: Feb 24 2017 09:27:52 UTC

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