Load Request
At this point, the following steps should already be achieved by the Data Integration (DI) team:
Create the JSONL files Data Integration | 1. Export JSONL files
The load request is done for every document JSONL (following the required Data Structure) required for your Data Integration process, once they are generated.
For a product data sync, make sure the following tables have been prepared and are provided: doc_product, doc_attributes, doc_attribute_values and doc_languages
- 1 /load
- 2 Request Definition
- 3 Integration Strategy
- 4 Using private GCP resources for DI
- 4.1 BigQuery Datasets
- 4.1.1 1. Naming
- 4.1.2 2. Location
- 4.1.3 3. Permissions
- 4.2 Storage Bucket
- 4.2.1 1. Naming
- 4.2.2 2. Location
- 4.2.3 3. Permissions
- 4.1 BigQuery Datasets
/load
The load request will do the following things:
It saves your JSONL (for every data type required for the data sync type) in a Google Cloud Storage (GCS) Bucket from the Boxalino project
the files are available for 30 days in the clients` GCS bucket
It loads every JSONL in a BigQuery table in Boxalino project
for Instant Updates : the tables have a retention policy of 1 day
for Delta Updates: the tables have a retention policy of 7 days
for Full Updates: the tables have a retention policy of 15 days
Boxalino will provide access to the data Storage Buckets and BigQuery datasets that store your data.
The service response is a JSON payload as documented here Status Review
Request Definition
1 | Endpoint | full data sync | https://boxalino-di-full-krceabfwya-ew.a.run.app |
---|---|---|---|
2 |
| delta data sync | https://boxalino-di-delta-krceabfwya-ew.a.run.app |
3 |
| instant-update data sync | https://boxalino-di-instant-update-krceabfwya-ew.a.run.app |
4 |
| stage / testing | https://boxalino-di-stage-krceabfwya-ew.a.run.app |
5 | Action | /load | |
6 | Method | POST | |
7 | Body | the document JSONL | |
8 | Headers | Authorization | Basic base64<<DATASYNC API key : DATASYNC API Secret>> |
9 |
| Content-Type | application/json |
10 |
| doc | the document type (as described in Data Structure ) |
11 |
| client | your Boxalino account name |
12 |
| dev | only add it if the dev data index must be updated |
13 |
| mode | D for delta , I for instant update, F for full technical: the constants from the GcpClientInterface https://github.com/boxalino/data-integration-doc-php/blob/3.0.0/src/Service/GcpRequestInterface.php#L18 |
14 |
| type | integration type (product, order, etc) |
15 |
| tm | time, in format: YmdHis technical: used to identify the version of the documents and create the content. |
16 |
| ts | (optional) timestamp, must be millisecond based in UNIX timestamp technical: calculated from the time the data has been exported to BQ; the update requests will be applied in version ts order; https://github.com/boxalino/data-integration-doc-php/blob/3.0.0/src/Service/Flow/DiRequestTrait.php#L140 |
17 |
| chunk | (optional) for loading content by chunks |
18 |
| dataset | (optional) the dataset in which the doc_X tables must be stored;
if not provided, the service will check the <index>_<mode> dataset in the Boxalino project, to which you will have access |
19 |
| project | (optional) the project name where the documents are to be stored; |
20 |
| bucket | (optional) the storage bucket where the doc_X will be loaded; if not provided, the service will use the Boxalino project. |
A LOAD REQUEST code-sample is available in the data-integration-doc-php library: https://github.com/boxalino/data-integration-doc-php/blob/3.0.0/src/Service/Flow/LoadTrait.php
Optionally, if you are to use an advanced rest client , you can configure it as such:
Integration Strategy
doc_attribute, doc_attribute_value, doc_language can be synchronized with a call to the load endpoint
because GCP has a size limit of 32MB for POST requests, do not use the
/load
service for big data exportsif the data is too big, the service returns a 413 ENTITY TOO LARGE response. In this case, switch to the batch load
doc_product / doc_order / doc_user / doc_content / etc and other content bigger than 32 MB must be loaded in batches (max size of 32MB) or via GCS Public Signed URL
/load/chunk
endpointNOTE: when using
/load/chunk
service to generate a Google Cloud Storage Public URL, there is no size limit! It is possible to load all data at once using one GCS Public URL link.
Load in Batches / data > 32 MB
For content over 32MB, we provide an endpoint to access a Signed GCS Url that would put all your streamed content into a file (currently there is no defined file size limit in GCS)
1. Make a request for public upload link
This is the generic POST request:
curl --connect-timeout 60 --max-time 300 "https://boxalino-di-<mode>-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: <mode>" \
-H "chunk: <id>" \
-H "doc: doc_product|doc_order|doc_user|doc_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 file in the clients` GCS bucket. The link is valid for 30 minutes.
2. Upload the content on the public link
A code sample is available in our generic PHP library
curl --connect-timeout 60 --timeout 0 <GCS-signed-url> \
-X PUT \
-H "Content-Type: application/octet-stream" \
-d "<YOUR DOCUMENT JSONL CONTENT (STREAM)>"
3. Load data to BigQuery
Make an HTTP POST call to load/bq endpoint. A code sample is available in our generic PHP library
This is the generic POST request:
curl --connect-timeout 60 --max-time 300 "https://boxalino-di-<mode>-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: <mode>" \
-H "doc: doc_product|doc_order|doc_user|doc_content|.." \
-H "Authorization: Basic <encode of the account>"
Fallback / retry policies
We do our best to ensure that our services are continuously available to receive requests. The endpoints have a timeout of 3600s. This means that your POST request will receive a response when the service finished your request (either error or succes) or when the timeout is reached.
The /load
, /load/chunk
, /load/bq
have a succesfull response on average in 10sec (so the wait time is minimal). Howether, we recommend for your fallback/retry policy, to use a timeout
configuration of 3-5 min.
Based on your system, the timeout
is represented by different parameters for the HTTP request.
--max-time
is the timeout: wait 10s for a response from the server or stop connection--connect-timeout
is the connection timeout: wait 30s to make a connection to the service or stop connection
Instead of stop connection, we recommend to integrate a fallback policy with a retry.
Using private GCP resources for DI
For the case when the client wants to use their own GCP resources for the Data Integration with Boxalino, the following requirements must be complied with:
BigQuery Datasets
1. Naming
The BigQuery dataset in which your account documents are loaded can be named after the data index and process it is meant to synchronize to:
if the request is for the dev data index - <client>_dev_<mode>
if the request is for the production data index - <client>_<mode>
, where:
<client> is the account name provided by Boxalino.
<mode> is the process F (for full), D (for delta), I (for instant)
Example, for our an account boxalino_client, the following datasets must exist (upon your integration use-cases):
for dev index: boxalino_client_dev_I, boxalino_client_dev_F, boxalino_client_dev_D
for production data index: boxalino_client_I, boxalino_client_F, boxalino_client_D
The above datasets must exist in your project.
2. Location
Upon the creation of your dataset, please use the Data Location: EU
3. Permissions
In order to have read & write access to your private dataset, please provide the following permissions to the Data Integration Service Account (DISA) 55483703770-compute@developer.gserviceaccount.com
:
BigQuery Data Viewer
BigQuery Metadata Viewer
BigQuery Data Editor / Owner
BigQuery Job User
or BigQuery Admin to the created datasets datasets.
Storage Bucket
1. Naming
In your custom project must be available the storage buckets in which #1 step can be done (loading your generated JSONL document).
Follow the Google documentation on how to create storage buckets.
The storage buckets have the requirement to be unique within the scope of the integration. Please use the following naming formula:
<your-custom-project>_<your-boxalino_account>_dev
<your-custom-project>_<your-boxalino-account>
2. Location
For content storage, please use either Multi-region (eu) or Region (europe-west1).
3. Permissions
In order to have load & read access to your private Google Cloud Storage buckets, please provide the following permissions to the Data Integration Service Account (DISA) 55483703770-compute@developer.gserviceaccount.com
:
Storage Object Creator
Storage Object Admin
The above permissions can be replaced with the Storage Admin role.