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Data Connector for Apptopia AWS US AWS Tokyo IDCF

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Toru Takahashi
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Data Connector for Apptopia

This Data Connector allows you to import Apptopia Data Source objects into Arm Treasure Data.

Prerequisites

  • Basic knowledge of Treasure Data
  • Basic knowledge of Apptopia

Use TD Console

Create a new connection

Go to Treasure Data Connections, search and select Apptopia. 

data-connector-apptopia-create-connection-1.png

 

Edit your Apptopia client and secret information, click Continue and give your connection a name:

data-connector-apptopia-create-connection-2.png

Click Create Connection.

Create a new transfer

When you click Create Connection, you are taken to My Connections tab. Look for the connection you created and click New Transfer.

data-connector-apptopia-create-transfer-0.png

 

The following dialog opens. Edit the details and click Next.

data-connector-apptopia-create-transfer-1.png

 

Preview your data. If you wish to change anything, click Advanced Settings or click Next.

data-connector-apptopia-create-transfer-2.png

 

In Advanced Settings you can change some options such as rate limits:

data-connector-apptopia-create-transfer-advanced.png

 

Select the database and table where you want to transfer the data, as shown the following dialog:

data-connector-apptopia-create-transfer-3.png

 

Specify the schedule of the data transfer and click Start Transfer:

data-connector-apptopia-create-transfer-4.png

You will see the new data transfer in progress, listed under the My Input Transfers tab, and a corresponding job will be listed in the Jobs section.

Command Line

 Install ‘td’ command v0.11.9 or later

You can install the newest Treasure Data Toolbelt.

$ td --version
0.15.0

 Create Configuration File

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

in:
  type: apptopia
  client: xxxxxxxx
  secret: xxxxxxxx
  target: publisher_performance (required, see Appendix B)
  store: itunes_connect (required, see Appendix C)
  start_date: 2017-01-01 (required for all targets except `category` and `country`) 
  end_date: 2017-02-01 (required for all targets except `category` and `country`)
  requests_per_minute_limit: 300 (optional, 1000 by default, see Appendix F)
out:
  mode: replace

This example shows an Apptopia Publisher Performance Data Source:

  • client: Apptopia client id.
  • secret: Apptopia secret.
  • target: Apptopia entity object to be imported.
    • See Appendix B for the list of available target.
  • store: Desired mobile market to fetch data
  • start_date: From which date (yyyy-MM-dd) product data to be imported. This field is required when fetching product usage (target is product_usage) or product sale (target is product_sales) with in-app-purchase breakdown (breakdown has iap).
  • end_date: To which date (yyyy-MM-dd) product data to be imported. This field is optional and is automatically adjusted to maximum 60 days since start_date limited by current date.
  • requests_per_minute_limit: Limit number of API calls per minute

For more details on available out modes, see Appendix A

(optional): Preview data to import

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

$ td connector:preview load.yml
+------------+------------------+--------------------+----
| id:string  | store:string     | country_iso:string | ...
+------------+------------------+--------------------+----
| 420233213  | "itunes_connect" | US                 |
| jp.td.app  | "google_play"    | JP                 |
+------------+------------------+--------------------+----

Execute Load Job

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, because Treasure Data’s storage is partitioned by time (see also data partitioning) 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 can add it by using add_time filter option. For more details, see add_time filter plugin.

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

The preceding command assumes that you already created database(td_sample_db) and table(td_sample_table). If the database or the table does not exist in TD, the 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 updated_date --auto-create-table
 
 
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 Apptopia 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_apptopia_import \
    "10 0 * * *" \
    td_sample_db \
    td_sample_table \
    load.yml
 
 
The `cron` parameter also accepts the options: `@hourly`, `@daily` and `@monthly`.
 
 
By default, schedule is setup in UTC timezone. You can set the schedule in a timezone using -t or --timezone option. The `--timezone` option supports only 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_apptopia_import | 10 0 * * *   | UTC      | 0     | td_sample_db | td_sample_table | {"type"=>"apptopia", ... }  |
+-----------------------+--------------+----------+-------+--------------+-----------------+-----------------------------+

Show the Setting and History of Schedules

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

% td connector:show daily_apptopia_import
Name     : daily_apptopia_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, use td job <jobid>.

% td connector:history daily_apptopia_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 removes the schedule.

$ td connector:delete daily_apptopia_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. Any manual schema changes made to the target table remains intact with this mode.

in:
  ...
out:
  mode: replace

B) Available targets

Target Description
app_metadata Application metadata
app_performance Application performance
app_ranks Application ranking
app_sdks_metadata Application SDKs metadata
category List of categories
category_rank_lists Raw ranks top charts for each category
category_featured_lists Featured applications for each category
category_new_releases New app releases for each category
country Supported countries
publisher_metadata Publisher metadata
publisher_performance Publisher performance
sdk_metadata SDK metadata

C) Available markets

Store Description
itunes_connect Appple Store
google_play Google Play Market

D) Rate Limits

There is requests per minute rate limit in Apptopia. This rate limit is auto refreshed after a certain number of seconds.

If you have multiple transfers under the same Apptopia account, you can control the rate limit usage of each transfer via requests_per_minute_limit in advanced settings as long as the total limit does not exceed your account limit. For example, assume that your account has quotas as 1000 calls/minute, if you create 2 transfers, e.g. app_performance & publisher_performance targets, you could use 600 rpm for app_performance transfer and the rest (400 rpm) for publisher_performance transfer.

 

 

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