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Table of Contents

Overview

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For clients who use their own Google Cloud Platform project for storage of the documents, the documented rules/naming patterns of the BigQuery resources must be used https://boxalino.atlassian.net/wiki/spaces/BPKB/pages/415432770/Load+Request#Using-private-GCP-resources-for-DI . In such scenarios, only the step #4 is of interest.

1. Transform your data source

The Boxalino Data Structure is publicly available in our git repository: https://github.com/boxalino/data-integration-doc-schema

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  1. You can test that your JSONL is valid by doing a test load in your own GCP project https://github.com/boxalino/data-integration-doc-schema#are-you-an-integrator

  2. You can test that your JSONL is valid by doing a test with using the generator https://github.com/boxalino/data-integration-doc-schema/blob/master/schema/generator.html (guidelines in the repository README.md)

For certain headless CMS, Boxalino has designed a Transformer service Transformer

2. Loading content to GCS and BigQuery

Overview

There are 2 available flows, based on the size of your data:

  1. The content is exported as the body of your POST request

  2. The content is exported with the help of a public GCS Signed URL (https://cloud.google.com/storage/docs/access-control/signed-urls )

Option #1 is allowed recommended for data volume less than 32MB.

Option #2 is allowed for any data size.

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A. Loading content less than 32 MB

For this use-case, there is a single request to be made: https://boxalino.atlassian.net/wiki/spaces/BPKB/pages/415432770/Load+Request#Request-Definition

Code Block
 curl --connect-timeout 60 --max-time 300 "https://boxalino-di-stage-krceabfwya-ew.a.run.app/load" \
  -X POST \
  -H "Content-Type: application/json" \
  -H "client: <account>" \
  -H "dev: true|false" \
  -H "tm: YYYYmmddHHiiss" \
  -H "type: product|content|order|user|communication_history|communication_planning|user_generated_content" \
  -H "mode: F|D|I" \
  -H "chunk: <batch nr>" \
  -H "doc: product|language|attribute_value|attribute|order|user|communication_history|communication_planning|user_generated_content" \
  -d "<JSONL>" \
  -H "Authorization: Basic <encode of the account>" 

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Warning

If the service response is an error like: 413 Request Entity Too Large - please use the 2nd flow.

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B. Loading undefined data size

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Code Block
curl --connect-timeout 60 --max-time 300 "https://boxalino-di-stage-krceabfwya-ew.a.run.app/load/chunk" \
  -X POST \
  -H "Content-Type: application/json" \
  -H "client: <account>" \
  -H "dev: true|false" \
  -H "tm: YYYYmmddHHiiss" \
  -H "type: product|content|order|user|communication_history|communication_planning|user_generated_content" \
  -H "mode: F|D|I" \
  -H "chunk: <id>" \
  -H "doc: doc_product|doc_language|doc_attribute_value|doc_attribute|doc_order|doc_user|communication_history|communication_planning|doc_user_generated_content" \
  -H "Authorization: Basic <encode of the account>"

The response will be an upload link that can only be used in order to create the document doc_<doc>_<mode>_<tm>-<chunk>.json in the clients` GCS bucket. The link is valid for 30minutes.

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Code Block
curl --connect-timeout 60 --max-time 300 "https://boxalino-di-stage-krceabfwya-ew.a.run.app/load/chunk" \
  -X POST \
  -H "Content-Type: application/json" \
  -H "client: <account>" \
  -H "tm: 20230301161554" \
  -H "type: product" \
  -H "mode: F" \
  -H "chunk: 1" \
  -H "doc: product" \
  -H "Authorization: Basic <encode of the account>"

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Read more about Google Cloud Signed URL https://cloud.google.com/storage/docs/access-control/signed-urls (response samples, uses, etc)

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The use of the header chunk is required if the data is exported in batches.
Repeat steps 1+2 for every data batch loaded in GCS.
Make sure to increment the value of the chunkproperty for each /load/chunk request.

Only after the full content is available in GCS, you can move on to step#3.

3. Loading content to BigQuery

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Code Block
curl --connect-timeout 60 --max-time 300 "https://boxalino-di-stage-krceabfwya-ew.a.run.app/load/bq" \
  -X POST \
  -H "Content-Type: application/json" \
  -H "client: <account>" \
  -H "dev: true|false" \
  -H "tm: YYYYmmddHHiiss" \
  -H "type: product|content|order|user|communication_history|communication_planning|user_generated_content" \
  -H "mode: F|D|I" \
  -H "doc: doc_product|doc_language|doc_attribute_value|doc_attribute|doc_order|doc_user|communication_history|communication_planning|doc_user_generated_content" \
  -H "Authorization: Basic <encode of the account>"

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Tip

After all required documents (doc) for the given type data sync (ex: product, order, etc) have been made available in BigQuery, the computation request can be called for.

3. How to register a compute request

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This step is required. With this step, the data exported is being computed and made available throughout the Boxalino Data Warehouse Ecosystem for future uses.

For this step, there is a single request to be made: Sync Request

Code Block
curl --connect-timeout 60 --max-time 300 "https://boxalino-di-stage-krceabfwya-ew.a.run.app/sync" \
  -X POST \
  -H "Content-Type: application/json" \
  -H "client: <account>" \
  -H "dev: true|false" \
  -H "tm: YYYYmmddHHiiss" \
  -H "type: product|content|order|user|communication_history|communication_planning|user_generated_content" \
  -H "mode: F|D|I" \
  -H "project: <client GCP project>" \
  -H "dataset: <client GCP dataset>" \
  -H "Authorization: Basic <encode of the account>"

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Info

If your project uses their own private GCP project & resources, please add as well include the headers for project, dataset. For more options, always review the https://boxalino.atlassian.net/wiki/spaces/BPKB/pages/394559761/Sync+Request#Request-Definition

Tip

After making the SYNC request, the data is being computed and updated in relevant feeds (data index, real time injections, reports, etc)

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We encourage to have a stable fallback & retry policy.
We recommend to also review the status of your requests as they happen: Status Review

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In the technical samples, the stage endpoint https://boxalino-di-stage-krceabfwya-ew.a.run.app was used (for testing purposes). Once your integration flow is ready for production, make sure to use the adequate endpoints:

  1. For mode: F (full) data pushes: https://boxalino-di-full-krceabfwya-ew.a.run.app

  2. For mode: D (delta) data pushes: https://boxalino-di-delta-krceabfwya-ew.a.run.app

  3. For mode: I (instant) data pushes: https://boxalino-di-instant-krceabfwya-ew.a.run.app