At Boxalino we are strong advisors for ELT flows (vs ETL). The major benefit is speed, transparency and maintenence: data is loaded directly into a destination system (BQ), and transformed in-parallel (Dataform).

[
  {
    "connector": {
      "type": "sftp|gcs|plentymarket|plytix|boxalino",
      "options": {
          // specific for each connector type
      },
      "load": {
        "options": {
          // for loading the data in BQ (BQ parameters)
          "format": "CSV|NEWLINE_DELIMITED_JSON",
          "field_delimiter": ";",
          "autodetect": true,
          "schema": "",
          "skipRows": 1(CSV)|0(JSONL),
          "max_bad_records": 0,
          "quote": "",
          "write_disposition": "WRITE_TRUNCATE",
          "create_disposition": "",
          "encoding": "",
        },  "allow_quoted_newlines" : 1,
          "doc_allow_jagged_rows" : 0
        },
        "doc_X": {
          "property_node_from_doc_data_structure": [
            {
              "source": "file___NODASHDATE__.jsonl",
              "name": "<used to create suffix for BQ table>",
              "schema": ""
            }
          ]
        }
      }
    },
    "di": {
      "configuration": {
        "languages": [
          "de",
          "fr"
        ],
        "currencies": [
          "CHF"
        ],
        "mapping": {
          "languagesCountryCode": {"de":"CH_de", "fr":"CH_fr"}
        },
        "default": {
          "language": "de",
          "currency": "CHF"
        }
      }
    }
  }
]

It is possible to configure dynamic source names (to identify the files loaded in GCS) (ex: if the content to be loaded in BQ is exported in batches or has a dynamic suffix).

The supported variations are:
__DATE__ (Y-m-d), __NODASHDATE__ (Ymd), __TM__ (Y-m-dTH:i:s), __NODASHTM__ (YmdHis), __DATE_PATH__ (Y/m/d), __JN_DATE_PATH__ (Y/n/j), __DATE_YESTERDAY__ (Y-m-d -1 day), __DATE_MONTH__ (Y-m-01), __NODASHDATE_MONTH__ (Ym01), __NODASHDATE_YESTERDAY__ (Ymd -1 day).), __RTM__ (the tm value from your SYNC/CORE request)

For example, if there are 3 chunks for order-<tm>-1.jsonl, the configuration for load can be:
"load":{"options":{<add the default BQ-load options}, "doc_order":{"entity":[{"source":"doc_order___NODASHTM__*.jsonl}]}}

curl "https://boxalino-di-stageprocess-krceabfwya-ew.a.run.app/transformersaas/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: T" \
  -H "gcp_project: <private-client-GCP-project>" \
  -H "gcs_bucket: <private-client-GCS-bucket>" \
  -H "doc: <filename>" \
  -d "<JSONL>" \
  -H "Authorization: Basic <encode of the account>"

For example, the request bellow would create a gs://prod_rtux-data-integration_<account>/product/20230301161554/T_doc_language.json in your clients` GCS bucket. This is a necessary data for the type:product integration.

curl --connect-timeout 30 --max-time 300 "https://boxalino-di-stageprocess-krceabfwya-ew.a.run.app/transformersaas/load" \
  -X POST \
  -H "Content-Type: application/json" \
  -H "client: <account>" \
  -H "tm: 20230301161554" \
  -H "type: product" \
  -H "mode: T" \
  -H "doc: doc_language.json" \
  -d "{\"language\":\"en\",\"country_code\":\"en-GB\",\"creation_tm\":\"2023-03-01 16:15:54\",\"client_id\":0,\"src_sys_id\":0}\n{\"language\":\"de\",\"country_code\":\"de-CH\",\"creation_tm\":\"2023-03-01 16:15:54\",\"client_id\":0,\"src_sys_id\":0}" \
  -H "Authorization: Basic <encode of the account>" 

curl --connect-timeout 60 --max-time 300 "https://boxalino-di-stageprocess-krceabfwya-ew.a.run.app/transformersaas/load/url" \
  -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: T" \
  -H "chunkgcp_project: <id><private-client-GCP-project>" \
  -H "docgcs_bucket: <filename><private-client-GCS-bucket>" \
  -H "Authorizationchunk: <id>" \
  -H "doc: <filename>" \
  -H "Authorization: Basic <encode of the account>"

Lets say, we need a public link to upload a document called product-entity.jsonl. The following request can be used to generate the link:

curl --connect-timeout 60 --max-time 300 "https://boxalino-di-stageprocess-krceabfwya-ew.a.run.app/transformersaas/load/url" \
  -X POST \
  -H "Content-Type: application/json" \
  -H "client: <account>" \
  -H "tm: 20230301161554" \
  -H "type: product" \
  -H "mode: T" \
  -H "doc: product-entity.jsonl" \
  -H "Authorization: Basic <encode of the account>"

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