Square

Square is a large business technology platform serving all kinds of businesses. The Square operating system allows business owners to sell anywhere.

Square integration replicates data using the Square API version 2023-06-08.

See the Schema section for a list of objects available for replication.

유용한 링크와 지원되는 기능을 포함하여 이 커넥터에 대한 전반적인 내용을 살펴보겠습니다.

특징/기능	지원 세부 정보
지원되는 Qlik Talend Data Integration 프로젝트	복제 프로젝트에만 해당됩니다. 데이터 파이프라인 프로젝트는 지원되지 않습니다.
대상 업데이트 방법	복제 작업: 변경 내용 적용 변경 내용 저장 데이터 레이크 작업에 데이터 랜딩: 데이터 변경 내용 캡처(CDC)
메타데이터 관리	수동 메타데이터 생성이 필요하지 않습니다.
스키마 진화	열 데이터 유형 변경 작업만 지원됩니다.
LOB 열(NCLOB, CLOB 및 BLOB) 복제	지원되지 않음.
예정된 CDC	필수. 이렇게 하면 소스의 변경 내용이 대상에 최신 상태로 유지됩니다. 복제 작업의 경우 작업 예약 을 참조하십시오. 레이크 랜딩 작업의 경우 레이크 랜딩 작업을 위한 CDC 일정을 참조하십시오.
알림	부분적으로 지원됨 작업 변경 알림 설정
모니터링 중	CDC에만 해당되며, 이 커넥터의 경우 전체 로드가 적용되지 않습니다. 개별 데이터 작업 모니터링
JSON 열 페이로드의 자동 압축 해제	지원되지 않음. 소스 데이터 집합의 JSON 열 페이로드는 대상에서 자동으로 압축 해제되지 않습니다.

Preparing for authentication

To access your data, you need to authenticate the connection with your account credentials.

사용하는 계정에 가져오려는 테이블에 대한 읽기 액세스 권한이 있는지 확인합니다.

To obtain your Application ID and Access Token:

Log into your Square account.
Click Account at the top right of the page.
Click Dashboard.
Navigate to Settings from the left navigation bar and click App Integrations.
Click Manage at the right of the selected application.

Creating the connection

For more information, see SaaS 응용 프로그램에 연결.

Click Authenticate when you have filled in the required connection settings.
You may be asked to log in to the source application.
A window is displayed with an authentication code.
Copy the code to the clipboard and return to the connection dialog.
Paste the code in Complete authentication with the code provided by the source and click Verify.
팁 메모You may need to scroll down to see this field.
When status is Verified, the authentication is verified.
Provide a name for the connection in Connection name.
Select Open connection metadata to define metadata for the connection when it has been created.

Connection settings
Setting	Description
Data gateway	사용 사례에 필요한 경우 데이터 이동 게이트웨이를 선택합니다. 정보 메모 이 필드는 데이터 이동 게이트웨이를 지원하지 않으므로 Qlik Talend Cloud 시작 구독에서는 사용할 수 없습니다. 다른 구독 계층이 있고 데이터 이동 게이트웨이를 사용하지 않으려면 없음을 선택합니다. 데이터 이동 게이트웨이의 이점과 이를 필요로 하는 사용 사례에 대한 자세한 내용은 Qlik 데이터 게이트웨이 - 데이터 이동를 참조하십시오.
Start Date	데이터를 소스에서 대상으로 복제해야 하는 날짜를 `MM/DD/YYYY` 형식으로 입력합니다.
Application ID	Application ID.
Access Token	Access Token.

Schema

Schemas and naming conventions can change from version to version. It is recommended to verify your version before continuing.

The schema and info displayed below is for version 2.

Depending on your destination, table and column names may not appear as they are outlined below.

bank_accounts

The bank_accounts contains information about a merchant’s bank account in Square.

Note: This table can’t be replicated if the Connect to a sandbox environment box is checked in the integration’s settings due to limits imposed by Square.

Replication Method

Full Table

Primary Key

Useful links

Square documentation

Square API method

Join bank_accounts with	on
categories	bank_accounts.id = categories.absent_at_location_ids
discounts	bank_accounts.id = discounts.absent_at_location_ids
team_members	bank_accounts.id = team_members.assigned_locations.location_ids
inventories	bank_accounts.id = inventories.location_id
items	bank_accounts.id = items.absent_at_location_ids bank_accounts.id = items.item_data.variations.item_variation_data.location_overrides.location_id bank_accounts.id = items.item_data.variations.present_at_location_ids bank_accounts.id = items.present_at_location_ids
locations	bank_accounts.id = locations.id
modifier_lists	bank_accounts.id = modifier_lists.absent_at_location_ids
orders	bank_accounts.id = orders.id bank_accounts.id = orders.refunds.id bank_accounts.id = orders.tenders.id
payments	bank_accounts.id = payments.id
refunds	bank_accounts.id = refunds.id
shifts	bank_accounts.id = shifts.id
taxes	bank_accounts.id = taxes.absent_at_location_ids

account_number_suffix

STRING

account_type

STRING

bank_name

STRING

country

STRING

creditable

BOOLEAN

currency

STRING

debit_mandate_reference_id

STRING

debitable

BOOLEAN

holder_name

STRING

location_id

STRING

primary_bank_identification_number

STRING

reference_id

STRING

secondary_bank_identification_number

STRING

status

STRING

version

INTEGER

cash_drawer_shifts

The cash_drawer_shifts table contains infomration about cash transactions in Square.

Replication Method

Full Table

Useful links

Square documentation

Square API method

closed_at

DATE-TIME

closed_cash_money

OBJECT

This is a nested data structure:

amount: INTEGER
currency: STRING

created_at

DATE-TIME

description

STRING

ended_at

DATE-TIME

expected_cash_money

OBJECT

This is a nested data structure:

amount: INTEGER
currency: STRING

STRING

location_id

STRING

opened_at

DATE-TIME

opened_cash_money

OBJECT

This is a nested data structure:

amount: INTEGER
currency: STRING

state

STRING

updated_at

DATE-TIME

Join categories with	on
items	categories.id = items.item_data.category_id categories.absent_at_location_ids = items.absent_at_location_ids categories.absent_at_location_ids = items.item_data.variations.item_variation_data.location_overrides.location_id categories.absent_at_location_ids = items.item_data.variations.present_at_location_ids categories.absent_at_location_ids = items.present_at_location_ids
bank_accounts	categories.absent_at_location_ids = bank_accounts.id
discounts	categories.absent_at_location_ids = discounts.absent_at_location_ids
team_members	categories.absent_at_location_ids = team_members.assigned_locations.location_ids
inventories	categories.absent_at_location_ids = inventories.location_id
locations	categories.absent_at_location_ids = locations.id
modifier_lists	categories.absent_at_location_ids = modifier_lists.absent_at_location_ids
orders	categories.absent_at_location_ids = orders.id categories.absent_at_location_ids = orders.refunds.id categories.absent_at_location_ids = orders.tenders.id
payments	categories.absent_at_location_ids = payments.id
refunds	categories.absent_at_location_ids = refunds.id
shifts	categories.absent_at_location_ids = shifts.id
taxes	categories.absent_at_location_ids = taxes.absent_at_location_ids

customers

The customers contains information about customer profiles associated with your Square account.

Replication Method

CDC

Replication Key

updated_at

Useful links

Square API method

address

OBJECT

This is a nested data structure:

address_line_1: STRING
address_line_2: STRING
address_line_3: STRING
administrative_district_level_1: STRING
administrative_district_level_2: STRING
administrative_district_level_3: STRING
country: STRING
first_name: STRING
last_name: STRING
locality: STRING
postal_code: STRING
sublocality: STRING
sublocality_2: STRING
sublocality_3: STRING

birthday

DATE-TIME

STRING

company_name

STRING

created_at

DATE-TIME

creation_source

STRING

email_address

STRING

family_name

STRING

given_name

STRING

group_ids

ARRAY

STRING

nickname

STRING

note

STRING

phone_number

STRING

preferences

OBJECT

This is a nested data structure:

email_unsubscribed: BOOLEAN

reference_id

STRING

segment_ids

ARRAY

tax_ids

OBJECT

This is a nested data structure:

eu_vat: STRING

updated_at

DATE-TIME

version

INTEGER

discounts

The discounts table contains information about discounts for a given location in Square.

Replication Method	CDC
Primary Key	id
Replication Key	updated_at
Useful links	Square API method

Join discounts with	on
bank_accounts	discounts.absent_at_location_ids = bank_accounts.id
categories	discounts.absent_at_location_ids = categories.absent_at_location_ids
team_members	discounts.absent_at_location_ids = team_members.assigned_locations.location_ids
inventories	discounts.absent_at_location_ids = inventories.location_id
items	discounts.absent_at_location_ids = items.absent_at_location_ids discounts.absent_at_location_ids = items.item_data.variations.item_variation_data.location_overrides.location_id discounts.absent_at_location_ids = items.item_data.variations.present_at_location_ids discounts.absent_at_location_ids = items.present_at_location_ids
locations	discounts.absent_at_location_ids = locations.id
modifier_lists	discounts.absent_at_location_ids = modifier_lists.absent_at_location_ids
orders	discounts.absent_at_location_ids = orders.id discounts.absent_at_location_ids = orders.refunds.id discounts.absent_at_location_ids = orders.tenders.id
payments	discounts.absent_at_location_ids = payments.id
refunds	discounts.absent_at_location_ids = refunds.id
shifts	discounts.absent_at_location_ids = shifts.id
taxes	discounts.absent_at_location_ids = taxes.absent_at_location_ids

absent_at_location_ids

ARRAY

discount_data

OBJECT

This is a nested data structure:

amount_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
application_method: STRING
discount_type: STRING
label_color: STRING
modify_tax_basis: STRING
name: STRING
percentage: STRING
pin_required: BOOLEAN

STRING

is_deleted

BOOLEAN

present_at_all_locations

BOOLEAN

type

STRING

updated_at

DATE-TIME

version

INTEGER

inventories

The inventories table contains info about the current calculated stock count for a Square location.

Replication Method

Full Table

Loading Behavior

Append-Only

Useful links

Square documentation

Square API method

Join inventories with	on
bank_accounts	inventories.location_id = bank_accounts.id
categories	inventories.location_id = categories.absent_at_location_ids
discounts	inventories.location_id = discounts.absent_at_location_ids
team_members	inventories.location_id = team_members.assigned_locations.location_ids
items	inventories.location_id = items.absent_at_location_ids inventories.location_id = items.item_data.variations.item_variation_data.location_overrides.location_id inventories.location_id = items.item_data.variations.present_at_location_ids inventories.location_id = items.present_at_location_ids
locations	inventories.location_id = locations.id
modifier_lists	inventories.location_id = modifier_lists.absent_at_location_ids
orders	inventories.location_id = orders.id inventories.location_id = orders.refunds.id inventories.location_id = orders.tenders.id
payments	inventories.location_id = payments.id
refunds	inventories.location_id = refunds.id
shifts	inventories.location_id = shifts.id
taxes	inventories.location_id = taxes.absent_at_location_ids

calculated_at

DATE-TIME

catalog_object_id

STRING

catalog_object_type

STRING

location_id

STRING

quantity

STRING

state

STRING

items

The items table contains information about items for a given location in Square.

Replication Method	CDC
Primary Key	id
Replication Key	updated_at
Useful links	Square documentation Square API method

Join items with	on
categories	items.item_data.category_id = categories.id items.absent_at_location_ids = categories.absent_at_location_ids items.item_data.variations.item_variation_data.location_overrides.location_id = categories.absent_at_location_ids items.item_data.variations.present_at_location_ids = categories.absent_at_location_ids items.present_at_location_ids = categories.absent_at_location_ids
bank_accounts	items.absent_at_location_ids = bank_accounts.id items.item_data.variations.item_variation_data.location_overrides.location_id = bank_accounts.id items.item_data.variations.present_at_location_ids = bank_accounts.id items.present_at_location_ids = bank_accounts.id
discounts	items.absent_at_location_ids = discounts.absent_at_location_ids items.item_data.variations.item_variation_data.location_overrides.location_id = discounts.absent_at_location_ids items.item_data.variations.present_at_location_ids = discounts.absent_at_location_ids items.present_at_location_ids = discounts.absent_at_location_ids
team_members	items.absent_at_location_ids = team_members.assigned_locations.location_ids items.item_data.variations.item_variation_data.location_overrides.location_id = team_members.assigned_locations.location_ids items.item_data.variations.present_at_location_ids = team_members.assigned_locations.location_ids items.present_at_location_ids = team_members.assigned_locations.location_ids
inventories	items.absent_at_location_ids = inventories.location_id items.item_data.variations.item_variation_data.location_overrides.location_id = inventories.location_id items.item_data.variations.present_at_location_ids = inventories.location_id items.present_at_location_ids = inventories.location_id
locations	items.absent_at_location_ids = locations.id items.item_data.variations.item_variation_data.location_overrides.location_id = locations.id items.item_data.variations.present_at_location_ids = locations.id items.present_at_location_ids = locations.id
modifier_lists	items.absent_at_location_ids = modifier_lists.absent_at_location_ids items.item_data.variations.item_variation_data.location_overrides.location_id = modifier_lists.absent_at_location_ids items.item_data.variations.present_at_location_ids = modifier_lists.absent_at_location_ids items.present_at_location_ids = modifier_lists.absent_at_location_ids items.item_data.modifier_list_info.modifier_list_id = modifier_lists.id items.item_data.modifier_list_info.modifier_list_id = modifier_lists.modifier_list_data.modifiers.modifier_data.modifier_list_id
orders	items.absent_at_location_ids = orders.id items.item_data.variations.item_variation_data.location_overrides.location_id = orders.id items.item_data.variations.present_at_location_ids = orders.id items.present_at_location_ids = orders.id items.absent_at_location_ids = orders.refunds.id items.item_data.variations.item_variation_data.location_overrides.location_id = orders.refunds.id items.item_data.variations.present_at_location_ids = orders.refunds.id items.present_at_location_ids = orders.refunds.id items.absent_at_location_ids = orders.tenders.id items.item_data.variations.item_variation_data.location_overrides.location_id = orders.tenders.id items.item_data.variations.present_at_location_ids = orders.tenders.id items.present_at_location_ids = orders.tenders.id
payments	items.absent_at_location_ids = payments.id items.item_data.variations.item_variation_data.location_overrides.location_id = payments.id items.item_data.variations.present_at_location_ids = payments.id items.present_at_location_ids = payments.id
refunds	items.absent_at_location_ids = refunds.id items.item_data.variations.item_variation_data.location_overrides.location_id = refunds.id items.item_data.variations.present_at_location_ids = refunds.id items.present_at_location_ids = refunds.id
shifts	items.absent_at_location_ids = shifts.id items.item_data.variations.item_variation_data.location_overrides.location_id = shifts.id items.item_data.variations.present_at_location_ids = shifts.id items.present_at_location_ids = shifts.id
taxes	items.absent_at_location_ids = taxes.absent_at_location_ids items.item_data.variations.item_variation_data.location_overrides.location_id = taxes.absent_at_location_ids items.item_data.variations.present_at_location_ids = taxes.absent_at_location_ids items.present_at_location_ids = taxes.absent_at_location_ids items.item_data.tax_ids = taxes.id

absent_at_location_ids

ARRAY

STRING

is_deleted

BOOLEAN

item_data

OBJECT

This is a nested data structure:

abbreviation: STRING
available_electronically: BOOLEAN
available_for_pickup: BOOLEAN
available_online: BOOLEAN
category_id: STRING
description: STRING
item_options: ARRAY, which is also a nested data structure.
- item_option_id: STRING
label_color: STRING
legacy_tax_ids: ARRAY
modifier_list_info: ARRAY, which is also a nested data structure.
- enabled: BOOLEAN
- modifier_list_id: STRING
name: STRING
product_type: STRING
skip_modifier_screen: BOOLEAN
tax_ids: ARRAY
variations: ARRAY, which is also a nested data structure.
- id: STRING
- is_deleted: BOOLEAN
- item_variation_data: OBJECT, which is also a nested data structure.
  - inventory_alert_type: STRING
  - item_id: STRING
  - location_overrides: ARRAY, which is also a nested data structure.
    - inventory_alert_threshold: INTEGER
    - inventory_alert_type: STRING
    - location_id: STRING
    - sold_out: BOOLEAN
    - track_inventory: BOOLEAN
  - name: STRING
  - ordinal: INTEGER
  - price_money: OBJECT, which is also a nested data structure.
    - amount: INTEGER
    - currency: STRING
  - pricing_type: STRING
  - sku: STRING
  - track_inventory: BOOLEAN
  - user_data: STRING
- present_at_all_locations: BOOLEAN
- present_at_location_ids: ARRAY
- type: STRING
- updated_at: DATE-TIME
- version: INTEGER
visibility: STRING

present_at_all_locations

BOOLEAN

present_at_location_ids

ARRAY

type

STRING

updated_at

DATE-TIME

version

INTEGER

locations

The locations table contains information about all of your business locations in Square.

Replication Method

Full Table

Useful links

Square documentation

Square API method

Join locations with	on
bank_accounts	locations.id = bank_accounts.id
categories	locations.id = categories.absent_at_location_ids
discounts	locations.id = discounts.absent_at_location_ids
team_members	locations.id = team_members.assigned_locations.location_ids
inventories	locations.id = inventories.location_id
items	locations.id = items.absent_at_location_ids locations.id = items.item_data.variations.item_variation_data.location_overrides.location_id locations.id = items.item_data.variations.present_at_location_ids locations.id = items.present_at_location_ids
modifier_lists	locations.id = modifier_lists.absent_at_location_ids
orders	locations.id = orders.id locations.id = orders.refunds.id locations.id = orders.tenders.id
payments	locations.id = payments.id
refunds	locations.id = refunds.id
shifts	locations.id = shifts.id
taxes	locations.id = taxes.absent_at_location_ids

address

OBJECT

This is a nested data structure:

address_line_1: STRING
address_line_2: STRING
address_line_3: STRING
administrative_district_level_1: STRING
administrative_district_level_2: STRING
administrative_district_level_3: STRING
country: STRING
first_name: STRING
last_name: STRING
locality: STRING
postal_code: STRING
sublocality: STRING
sublocality_2: STRING
sublocality_3: STRING

business_email

STRING

business_hours

OBJECT

This is a nested data structure:

periods: ARRAY, which is also a nested data structure.
- day_of_week: STRING
- end_local_time: STRING
- start_local_time: STRING

business_name

STRING

capabilities

ARRAY

coordinates

OBJECT

This is a nested data structure:

latitude: NUMBER
longitude: NUMBER

country

STRING

created_at

DATE-TIME

currency

STRING

description

STRING

facebook_url

STRING

full_format_logo_url

STRING

instagram_username

STRING

language_code

STRING

logo_url

STRING

mcc

STRING

merchant_id

STRING

name

STRING

phone_number

STRING

pos_background_url

STRING

status

STRING

timezone

STRING

twitter_username

STRING

type

STRING

website_url

STRING

modifier_lists

The modifier_lists table contains information about modifier lists for a given location in Square.

Replication Method	CDC
Primary Key	id
Replication Key	updated_at
Useful links	Square documentation Square API method

Join modifier_lists with	on
bank_accounts	modifier_lists.absent_at_location_ids = bank_accounts.id
categories	modifier_lists.absent_at_location_ids = categories.absent_at_location_ids
discounts	modifier_lists.absent_at_location_ids = discounts.absent_at_location_ids
team_members	modifier_lists.absent_at_location_ids = team_members.assigned_locations.location_ids
inventories	modifier_lists.absent_at_location_ids = inventories.location_id
items	modifier_lists.absent_at_location_ids = items.absent_at_location_ids modifier_lists.absent_at_location_ids = items.item_data.variations.item_variation_data.location_overrides.location_id modifier_lists.absent_at_location_ids = items.item_data.variations.present_at_location_ids modifier_lists.absent_at_location_ids = items.present_at_location_ids modifier_lists.id = items.item_data.modifier_list_info.modifier_list_id modifier_lists.modifier_list_data.modifiers.modifier_data.modifier_list_id = items.item_data.modifier_list_info.modifier_list_id
locations	modifier_lists.absent_at_location_ids = locations.id
orders	modifier_lists.absent_at_location_ids = orders.id modifier_lists.absent_at_location_ids = orders.refunds.id modifier_lists.absent_at_location_ids = orders.tenders.id
payments	modifier_lists.absent_at_location_ids = payments.id
refunds	modifier_lists.absent_at_location_ids = refunds.id
shifts	modifier_lists.absent_at_location_ids = shifts.id
taxes	modifier_lists.absent_at_location_ids = taxes.absent_at_location_ids

absent_at_location_ids

ARRAY

STRING

is_deleted

BOOLEAN

modifier_list_data

OBJECT

This is a nested data structure:

modifiers: ARRAY, which is also a nested data structure.
- id: STRING
- is_deleted: BOOLEAN
- modifier_data: OBJECT, which is also a nested data structure.
  - modifier_list_id: STRING
  - name: STRING
  - on_by_default: BOOLEAN
  - ordinal: INTEGER
  - price_money: OBJECT, which is also a nested data structure.
    - amount: INTEGER
    - currency: STRING
- present_at_all_locations: BOOLEAN
- type: STRING
- updated_at: DATE-TIME
- version: INTEGER
name: STRING
ordinal: INTEGER
selection_type: STRING

present_at_all_locations

BOOLEAN

type

STRING

updated_at

DATE-TIME

version

INTEGER

orders

The orders table contains information about order updates in Square.

Replication Method

CDC

Replication Key

updated_at

Useful links

Square documentation

Square API method

Join orders with	on
bank_accounts	orders.id = bank_accounts.id orders.refunds.id = bank_accounts.id orders.tenders.id = bank_accounts.id
categories	orders.id = categories.absent_at_location_ids orders.refunds.id = categories.absent_at_location_ids orders.tenders.id = categories.absent_at_location_ids
discounts	orders.id = discounts.absent_at_location_ids orders.refunds.id = discounts.absent_at_location_ids orders.tenders.id = discounts.absent_at_location_ids
team_members	orders.id = team_members.assigned_locations.location_ids orders.refunds.id = team_members.assigned_locations.location_ids orders.tenders.id = team_members.assigned_locations.location_ids
inventories	orders.id = inventories.location_id orders.refunds.id = inventories.location_id orders.tenders.id = inventories.location_id
items	orders.id = items.absent_at_location_ids orders.refunds.id = items.absent_at_location_ids orders.tenders.id = items.absent_at_location_ids orders.id = items.item_data.variations.item_variation_data.location_overrides.location_id orders.refunds.id = items.item_data.variations.item_variation_data.location_overrides.location_id orders.tenders.id = items.item_data.variations.item_variation_data.location_overrides.location_id orders.id = items.item_data.variations.present_at_location_ids orders.refunds.id = items.item_data.variations.present_at_location_ids orders.tenders.id = items.item_data.variations.present_at_location_ids orders.id = items.present_at_location_ids orders.refunds.id = items.present_at_location_ids orders.tenders.id = items.present_at_location_ids
locations	orders.id = locations.id orders.refunds.id = locations.id orders.tenders.id = locations.id
modifier_lists	orders.id = modifier_lists.absent_at_location_ids orders.refunds.id = modifier_lists.absent_at_location_ids orders.tenders.id = modifier_lists.absent_at_location_ids
payments	orders.id = payments.id orders.refunds.id = payments.id orders.tenders.id = payments.id orders.id = payments.order_id orders.returns.source_order_id = payments.order_id orders.refunds.id = payments.order_id orders.refunds.id = payments.refund_ids
refunds	orders.id = refunds.id orders.refunds.id = refunds.id orders.tenders.id = refunds.id orders.id = refunds.order_id orders.returns.source_order_id = refunds.order_id orders.tenders.id = refunds.payment_id
shifts	orders.id = shifts.id orders.refunds.id = shifts.id orders.tenders.id = shifts.id
taxes	orders.id = taxes.absent_at_location_ids orders.refunds.id = taxes.absent_at_location_ids orders.tenders.id = taxes.absent_at_location_ids

closed_at

DATE-TIME

created_at

DATE-TIME

discounts

ARRAY

This is a nested data structure:

amount_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
applied_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
catalog_object_id: STRING
catalog_version: INTEGER
name: STRING
percentage: STRING
pricing_rule_id: STRING
scope: STRING
type: STRING

fulfillments

ARRAY

This is a nested data structure:

pickup_details: OBJECT, which is also a nested data structure.
- accepted_at: DATE-TIME
- auto_complete_duration: STRING
- cancel_reason: STRING
- canceled_at: DATE-TIME
- expired_at: DATE-TIME
- expires_at: DATE-TIME
- note: STRING
- picked_up_at: DATE-TIME
- pickup_at: DATE-TIME
- pickup_window_duration: STRING
- placed_at: DATE-TIME
- prep_time_duration: STRING
- ready_at: DATE-TIME
- recipient: OBJECT, which is also a nested data structure.
  - customer_id: STRING
  - display_name: STRING
  - email_address: STRING
  - phone_number: STRING
- rejected_at: DATE-TIME
- schedule_type: STRING
state: STRING
type: STRING
uid: STRING

STRING

line_items

ARRAY

This is a nested data structure:

base_price_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
catalog_object_id: STRING
catalog_version: INTEGER
gross_sales_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
item_type: STRING
modifiers: ARRAY, which is also a nested data structure.
- base_price_money: OBJECT, which is also a nested data structure.
  - amount: INTEGER
  - currency: STRING
- catalog_object_id: STRING
- catalog_version: INTEGER
- name: STRING
- quantity: STRING
- total_price_money: OBJECT, which is also a nested data structure.
  - amount: INTEGER
  - currency: STRING
name: STRING
note: STRING
quantity: STRING
quantity_unit: OBJECT, which is also a nested data structure.
- catalog_object_id: STRING
- catalog_version: INTEGER
- measurement_unit: OBJECT, which is also a nested data structure.
  - area_unit: STRING
  - custom_unit: OBJECT, which is also a nested data structure.
    - abbreviation: STRING
    - name: STRING
  - generic_unit: STRING
  - length_unit: STRING
  - time_unit: STRING
  - type: STRING
  - volume_unit: STRING
  - weight_unit: STRING
- precision: INTEGER
total_discount_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
total_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
total_tax_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
uid: STRING
variation_name: STRING
variation_total_price_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING

location_id

STRING

net_amount_due_money

OBJECT

This is a nested data structure:

amount: INTEGER
currency: STRING

net_amounts

OBJECT

This is a nested data structure:

discount_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
service_charge_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
tax_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
tip_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
total_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING

pricing_options

OBJECT

This is a nested data structure:

auto_apply_discounts: BOOLEAN

reference_id

STRING

refunds

ARRAY

This is a nested data structure:

amount_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
created_at: DATE-TIME
id: STRING
location_id: STRING
processing_fee_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
reason: STRING
status: STRING
tender_id: STRING
transaction_id: STRING

return_amounts

OBJECT

This is a nested data structure:

discount_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
service_charge_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
tax_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
tip_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
total_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING

returns

ARRAY

This is a nested data structure:

return_amounts: OBJECT, which is also a nested data structure.
- discount_money: OBJECT, which is also a nested data structure.
  - amount: INTEGER
  - currency: STRING
- service_charge_money: OBJECT, which is also a nested data structure.
  - amount: INTEGER
  - currency: STRING
- tax_money: OBJECT, which is also a nested data structure.
  - amount: INTEGER
  - currency: STRING
- tip_money: OBJECT, which is also a nested data structure.
  - amount: INTEGER
  - currency: STRING
- total_money: OBJECT, which is also a nested data structure.
  - amount: INTEGER
  - currency: STRING
return_discounts: ARRAY, which is also a nested data structure.
- amount_money: OBJECT, which is also a nested data structure.
  - amount: INTEGER
  - currency: STRING
- applied_money: OBJECT, which is also a nested data structure.
  - amount: INTEGER
  - currency: STRING
- catalog_object_id: STRING
- catalog_version: INTEGER
- name: STRING
- percentage: STRING
- scope: STRING
- source_discount_uid: STRING
- type: STRING
- uid: STRING
return_line_items: ARRAY, which is also a nested data structure.
- applied_discounts: ARRAY, which is also a nested data structure.
  - applied_money: OBJECT, which is also a nested data structure.
    - amount: INTEGER
    - currency: STRING
  - discount_uid: STRING
  - uid: STRING
- applied_service_charges: ARRAY, which is also a nested data structure.
  - applied_money: OBJECT, which is also a nested data structure.
    - amount: INTEGER
    - currency: STRING
  - service_charge_uid: STRING
  - uid: STRING
- applied_taxes: ARRAY, which is also a nested data structure.
  - applied_money: OBJECT, which is also a nested data structure.
    - amount: INTEGER
    - currency: STRING
  - tax_uid: STRING
  - uid: STRING
- base_price_money: OBJECT, which is also a nested data structure.
  - amount: INTEGER
  - currency: STRING
- catalog_object_id: STRING
- catalog_version: INTEGER
- gross_return_money: OBJECT, which is also a nested data structure.
  - amount: INTEGER
  - currency: STRING
- item_type: STRING
- name: STRING
- note: STRING
- quantity: STRING
- quantity_unit: OBJECT, which is also a nested data structure.
  - catalog_object_id: STRING
  - catalog_version: INTEGER
  - measurement_unit: OBJECT, which is also a nested data structure.
    - area_unit: STRING
    - custom_unit: OBJECT, which is also a nested data structure.
      - abbreviation: STRING
      - name: STRING
    - generic_unit: STRING
    - length_unit: STRING
    - time_unit: STRING
    - type: STRING
    - volume_unit: STRING
    - weight_unit: STRING
  - precision: INTEGER
- return_modifiers: ARRAY, which is also a nested data structure.
  - base_price_money: OBJECT, which is also a nested data structure.
    - amount: INTEGER
    - currency: STRING
  - catalog_object_id: STRING
  - catalog_version: INTEGER
  - name: STRING
  - quantity: STRING
  - source_modifier_uid: STRING
  - total_price_money: OBJECT, which is also a nested data structure.
    - amount: INTEGER
    - currency: STRING
  - uid: STRING
- source_line_item_uid: STRING
- total_discount_money: OBJECT, which is also a nested data structure.
  - amount: INTEGER
  - currency: STRING
- total_money: OBJECT, which is also a nested data structure.
  - amount: INTEGER
  - currency: STRING
- total_service_charge_money: OBJECT, which is also a nested data structure.
  - amount: INTEGER
  - currency: STRING
- total_tax_money: OBJECT, which is also a nested data structure.
  - amount: INTEGER
  - currency: STRING
- uid: STRING
- variation_name: STRING
- variation_total_price_money: OBJECT, which is also a nested data structure.
  - amount: INTEGER
  - currency: STRING
return_service_charges: ARRAY, which is also a nested data structure.
- amount_money: OBJECT, which is also a nested data structure.
  - amount: INTEGER
  - currency: STRING
- applied_money: OBJECT, which is also a nested data structure.
  - amount: INTEGER
  - currency: STRING
- calculation_phase: STRING
- catalog_object_id: STRING
- catalog_version: INTEGER
- name: STRING
- percentage: STRING
- source_service_charge_uid: STRING
- taxable: BOOLEAN
- total_money: OBJECT, which is also a nested data structure.
  - amount: INTEGER
  - currency: STRING
- total_tax_money: OBJECT, which is also a nested data structure.
  - amount: INTEGER
  - currency: STRING
return_taxes: ARRAY, which is also a nested data structure.
- applied_money: OBJECT, which is also a nested data structure.
- catalog_object_id: STRING
- catalog_version: INTEGER
- name: STRING
- percentage: STRING
- scope: STRING
- source_tax_uid: STRING
- type: STRING
- uid: STRING
rounding_adjustment: OBJECT, which is also a nested data structure.
- amount_money: OBJECT, which is also a nested data structure.
  - amount: INTEGER
  - currency: STRING
- name: STRING
- uid: STRING
source_order_id: STRING
uid: STRING

service_charges

ARRAY

This is a nested data structure:

amount_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
applied_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
calculation_phase: STRING
catalog_object_id: STRING
catalog_version: INTEGER
name: STRING
percentage: STRING
taxable: BOOLEAN
total_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
total_tax_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
type: STRING

source

OBJECT

This is a nested data structure:

name: STRING

state

STRING

taxes

ARRAY

This is a nested data structure:

applied_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
catalog_object_id: STRING
catalog_version: INTEGER
name: STRING
percentage: STRING
scope: STRING
type: STRING

tenders

ARRAY

This is a nested data structure:

amount_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
card_details: OBJECT, which is also a nested data structure.
- card: OBJECT, which is also a nested data structure.
  - billing_address: OBJECT, which is also a nested data structure.
    - address_line_1: STRING
    - address_line_2: STRING
    - address_line_3: STRING
    - administrative_district_level_1: STRING
    - administrative_district_level_2: STRING
    - administrative_district_level_3: STRING
    - country: STRING
    - first_name: STRING
    - last_name: STRING
    - locality: STRING
    - postal_code: STRING
    - sublocality: STRING
    - sublocality_2: STRING
    - sublocality_3: STRING
  - bin: STRING
  - card_brand: STRING
  - card_co_brand: STRING
  - card_type: STRING
  - cardholder_name: STRING
  - customer_id: STRING
  - enabled: BOOLEAN
  - exp_month: INTEGER
  - exp_year: INTEGER
  - fingerprint: STRING
  - id: STRING
  - last_4: STRING
  - merchant_id: STRING
  - prepaid_type: STRING
  - reference_id: STRING
  - version: INTEGER
- entry_method: STRING
- status: STRING
cash_details: OBJECT, which is also a nested data structure.
- buyer_tendered_money: OBJECT, which is also a nested data structure.
  - amount: INTEGER
  - currency: STRING
- change_back_money: OBJECT, which is also a nested data structure.
  - amount: INTEGER
  - currency: STRING
created_at: DATE-TIME
customer_id: STRING
id: STRING
location_id: STRING
note: STRING
payment_id: STRING
processing_fee_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
tip_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
transaction_id: STRING
type: STRING

total_discount_money

OBJECT

This is a nested data structure:

amount: INTEGER
currency: STRING

total_money

OBJECT

This is a nested data structure:

amount: INTEGER
currency: STRING

total_service_charge_money

OBJECT

This is a nested data structure:

amount: INTEGER
currency: STRING

total_tax_money

OBJECT

This is a nested data structure:

amount: INTEGER
currency: STRING

total_tip_money

OBJECT

This is a nested data structure:

amount: INTEGER
currency: STRING

updated_at

DATE-TIME

version

INTEGER

payments

The payments table contains information about all payments taken in Square.

Replication Method

Full Table

Useful links

Square documentation

Square API method

Join payments with	on
bank_accounts	payments.id = bank_accounts.id
categories	payments.id = categories.absent_at_location_ids
discounts	payments.id = discounts.absent_at_location_ids
team_members	payments.id = team_members.assigned_locations.location_ids
inventories	payments.id = inventories.location_id
items	payments.id = items.absent_at_location_ids payments.id = items.item_data.variations.item_variation_data.location_overrides.location_id payments.id = items.item_data.variations.present_at_location_ids payments.id = items.present_at_location_ids
locations	payments.id = locations.id
modifier_lists	payments.id = modifier_lists.absent_at_location_ids
orders	payments.id = orders.id payments.id = orders.refunds.id payments.id = orders.tenders.id payments.order_id = orders.id payments.order_id = orders.returns.source_order_id payments.order_id = orders.refunds.id payments.refund_ids = orders.refunds.id
refunds	payments.id = refunds.id payments.order_id = refunds.order_id payments.id = refunds.payment_id payments.order_id = refunds.id payments.refund_ids = refunds.id
shifts	payments.id = shifts.id
taxes	payments.id = taxes.absent_at_location_ids

amount_money

OBJECT

This is a nested data structure:

amount: INTEGER
currency: STRING

app_fee_money

OBJECT

This is a nested data structure:

amount: INTEGER
currency: STRING

application_details

OBJECT

This is a nested data structure:

application_id: STRING
square_product: STRING

approved_money

OBJECT

This is a nested data structure:

amount: INTEGER
currency: STRING

bank_account_details

OBJECT

This is a nested data structure:

account_ownership_type: STRING
ach_details: OBJECT, which is also a nested data structure.
- account_number_suffix: STRING
- account_type: STRING
- routing_number: STRIN
bank_name: STRING
country: STRING
errors: ARRAY, which is also a nested data structure.
- category: STRING
- code: STRING
- detail: STRING
- field: STRING
fingerprint: STRING
statement_description: STRING
transfer_type: STRING

billing_address

OBJECT

This is a nested data structure:

address_line_1: STRING
address_line_2: STRING
address_line_3: STRING
administrative_district_level_1: STRING
administrative_district_level_2: STRING
administrative_district_level_3: STRING
country: STRING
first_name: STRING
last_name: STRING
locality: STRING
postal_code: STRING
sublocality: STRING
sublocality_2: STRING
sublocality_3: STRING

buy_now_pay_later_details

OBJECT

This is a nested data structure:

afterpay_details: OBJECT, which is also a nested data structure.
- email_address: STRING
brand: STRING
clearpay_details: OBJECT, which is also a nested data structure.
- email_address: STRING

buyer_email_address

STRING

capabilities

ARRAY

card_details

OBJECT

This is a nested data structure:

application_cryptogram: STRING
application_identifier: STRING
application_name: STRING
auth_result_code: STRING
avs_status: STRING
card: OBJECT, which is also a nested data structure.
- billing_address: OBJECT, which is also a nested data structure.
- bin: STRING
- card_brand: STRING
- card_co_brand: STRING
- card_type: STRING
- cardholder_name: STRING
- customer_id: STRING
- enabled: BOOLEAN
- exp_month: INTEGER
- exp_year: INTEGER
- fingerprint: STRING
- id: STRING
- last_4: STRING
- merchant_id: STRING
- prepaid_type: STRING
- reference_id: STRING
- version: INTEGER
card_payment_timeline: OBJECT, which is also a nested data structure.
- authorized_at: DATE-TIME
- captured_at: DATE-TIME
- voided_at: DATE-TIME
cvv_status: STRING
entry_method: STRING
errors: ARRAY, which is also a nested data structure.
- category: STRING
- code: STRING
- detail: STRING
- field: STRING
statement_description: STRING
status: STRING
verification_method: STRING
verification_results: STRING

cash_details

OBJECT

This is a nested data structure:

buyer_supplied_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
change_back_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING

created_at

DATE-TIME

customer_id

STRING

delay_action

STRING

delay_duration

STRING

delayed_until

DATE-TIME

device_details

OBJECT

This is a nested data structure:

device_id: STRING
device_installation_id: STRING
device_name: STRING

external_details

OBJECT

This is a nested data structure:

source: STRING
source_fee_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
source_id: STRING
type: STRING

STRING

location_id

STRING

note

STRING

order_id

STRING

processing_fee

ARRAY

This is a nested data structure:

amount_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
effective_at: DATE-TIME
type: STRING

receipt_number

STRING

receipt_url

STRING

reference_id

STRING

refund_ids

ARRAY

refunded_money

OBJECT

This is a nested data structure:

amount: INTEGER
currency: STRING

risk_evaluation

OBJECT

This is a nested data structure:

created_at: DATE-TIME
risk_level: STRING

shipping_address

OBJECT

This is a nested data structure:

address_line_1: STRING
address_line_2: STRING
address_line_3: STRING
administrative_district_level_1: STRING
administrative_district_level_2: STRING
administrative_district_level_3: STRING
country: STRING
first_name: STRING
last_name: STRING
locality: STRING
postal_code: STRING
sublocality: STRING
sublocality_2: STRING
sublocality_3: STRING

source_type

STRING

statement_description_identifier

STRING

status

STRING

team_member_id

STRING

tip_money

OBJECT

This is a nested data structure:

amount: INTEGER
currency: STRING

total_money

OBJECT

This is a nested data structure:

amount: INTEGER
currency: STRING

updated_at

DATE-TIME

version_token

STRING

wallet_details

OBJECT

This is a nested data structure:

brand: STRING
cash_app_details: OBJECT, which is also a nested data structure.
- buyer_cashtag: STRING
- buyer_country_code: STRING
- buyer_full_name: STRING
status: STRING

payouts

The payouts table contains information about all payouts made in Square.

Replication Method

Full Table

Useful links

Square documentation

Square API method

amount_money

OBJECT

This is a nested data structure:

amount: INTEGER
currency: STRING

arrival_date

DATE-TIME

created_at

DATE-TIME

destination

OBJECT

This is a nested data structure:

id: STRING
type: STRING

end_to_end_id

STRING

location_id

STRING

payout_fee

ARRAY

This is a nested data structure:

amount_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
effective_at: DATE-TIME
type: STRING

status

STRING

type

STRING

updated_at

DATE-TIME

version

INTEGER

refunds

The refunds table contains information about refunds on items in Square.

Replication Method

Full Table

Useful links

Square documentation

Square API method

Join refunds with	on
bank_accounts	refunds.id = bank_accounts.id
categories	refunds.id = categories.absent_at_location_ids
discounts	refunds.id = discounts.absent_at_location_ids
team_members	refunds.id = team_members.assigned_locations.location_ids
inventories	refunds.id = inventories.location_id
items	refunds.id = items.absent_at_location_ids refunds.id = items.item_data.variations.item_variation_data.location_overrides.location_id refunds.id = items.item_data.variations.present_at_location_ids refunds.id = items.present_at_location_ids
locations	refunds.id = locations.id
modifier_lists	refunds.id = modifier_lists.absent_at_location_ids
orders	refunds.id = orders.id refunds.id = orders.refunds.id refunds.id = orders.tenders.id refunds.order_id = orders.id refunds.order_id = orders.returns.source_order_id refunds.payment_id = orders.tenders.id
payments	refunds.id = payments.id refunds.order_id = payments.order_id refunds.payment_id = payments.id refunds.id = payments.order_id refunds.id = payments.refund_ids
shifts	refunds.id = shifts.id
taxes	refunds.id = taxes.absent_at_location_ids

amount_money

OBJECT

This is a nested data structure:

amount: INTEGER
currency: STRING

app_fee_money

OBJECT

This is a nested data structure:

amount: INTEGER
currency: STRING

created_at

DATE-TIME

destination_details

OBJECT

This is a nested data structure:

card_details: OBJECT, which is also a nested data structure.
- card: OBJECT, which is also a nested data structure.
  - billing_address: OBJECT, which is also a nested data structure.
    - address_line_1: STRING
    - address_line_2: STRING
    - address_line_3: STRING
    - administrative_district_level_1: STRING
    - administrative_district_level_2: STRING
    - administrative_district_level_3: STRING
    - country: STRING
    - first_name: STRING
    - last_name: STRING
    - locality: STRING
    - postal_code: STRING
    - sublocality: STRING
    - sublocality_2: STRING
    - sublocality_3: STRING
  - bin: STRING
  - card_brand: STRING
  - card_co_brand: STRING
  - card_type: STRING
  - cardholder_name: STRING
  - customer_id: STRING
  - enabled: BOOLEAN
  - exp_month: INTEGER
  - exp_year: INTEGER
  - fingerprint: STRING
  - id: STRING
  - last_4: STRING
  - merchant_id: STRING
  - prepaid_type: STRING
  - reference_id: STRING
  - version: INTEGER
- entry_method: STRING

destination_type

STRING

location_id

STRING

order_id

STRING

payment_id

STRING

processing_fee

ARRAY

This is a nested data structure:

amount_money: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
effective_at: DATE-TIME
type: STRING

reason

STRING

status

STRING

team_member_id

STRING

unlinked

BOOLEAN

updated_at

DATE-TIME

roles

The roles table contains information about employees’ roles in Square.

Note: This table can’t be replicated if the Connect to a sandbox environment box is checked in the integration’s settings due to limits imposed by Square.

Replication Method

Full Table

Primary Key

Useful links

Square documentation

Square API method

created_at

DATE-TIME

STRING

is_owner

BOOLEAN

name

STRING

permissions

ARRAY

updated_at

DATE-TIME

shifts

The shifts table contains information about employee’s shifts in Square.

Replication Method

CDC

Replication Key

updated_at

Useful links

Square documentation

Square API method

Join shifts with	on
team_members	shifts.team_member_id = team_members.id shifts.id = team_members.assigned_locations.location_ids
bank_accounts	shifts.id = bank_accounts.id
categories	shifts.id = categories.absent_at_location_ids
discounts	shifts.id = discounts.absent_at_location_ids
inventories	shifts.id = inventories.location_id
items	shifts.id = items.absent_at_location_ids shifts.id = items.item_data.variations.item_variation_data.location_overrides.location_id shifts.id = items.item_data.variations.present_at_location_ids shifts.id = items.present_at_location_ids
locations	shifts.id = locations.id
modifier_lists	shifts.id = modifier_lists.absent_at_location_ids
orders	shifts.id = orders.id shifts.id = orders.refunds.id shifts.id = orders.tenders.id
payments	shifts.id = payments.id
refunds	shifts.id = refunds.id
taxes	shifts.id = taxes.absent_at_location_ids

breaks

ARRAY

This is a nested data structure:

break_type_id: STRING
end_at: DATE-TIME
expected_duration: STRING
id: STRING
is_paid: BOOLEAN
name: STRING
start_at: DATE-TIME

created_at

DATE-TIME

end_at

DATE-TIME

STRING

location_id

STRING

start_at

DATE-TIME

status

STRING

team_member_id

STRING

timezone

STRING

updated_at

DATE-TIME

version

INTEGER

wage

OBJECT

This is a nested data structure:

hourly_rate: OBJECT, which is also a nested data structure.
- amount: INTEGER
- currency: STRING
job_id: STRING
title: STRING

taxes

The taxes table contains information about taxes enabled on your items in Square.

Replication Method	CDC
Primary Key	id
Replication Key	updated_at
Useful links	Square API method

Join taxes with	on
bank_accounts	taxes.absent_at_location_ids = bank_accounts.id
categories	taxes.absent_at_location_ids = categories.absent_at_location_ids
discounts	taxes.absent_at_location_ids = discounts.absent_at_location_ids
team_members	taxes.absent_at_location_ids = team_members.assigned_locations.location_ids
inventories	taxes.absent_at_location_ids = inventories.location_id
items	taxes.absent_at_location_ids = items.absent_at_location_ids taxes.absent_at_location_ids = items.item_data.variations.item_variation_data.location_overrides.location_id taxes.absent_at_location_ids = items.item_data.variations.present_at_location_ids taxes.absent_at_location_ids = items.present_at_location_ids taxes.id = items.item_data.tax_ids
locations	taxes.absent_at_location_ids = locations.id
modifier_lists	taxes.absent_at_location_ids = modifier_lists.absent_at_location_ids
orders	taxes.absent_at_location_ids = orders.id taxes.absent_at_location_ids = orders.refunds.id taxes.absent_at_location_ids = orders.tenders.id
payments	taxes.absent_at_location_ids = payments.id
refunds	taxes.absent_at_location_ids = refunds.id
shifts	taxes.absent_at_location_ids = shifts.id

absent_at_location_ids

ARRAY

STRING

is_deleted

BOOLEAN

present_at_all_locations

BOOLEAN

tax_data

OBJECT

This is a nested data structure:

applies_to_custom_amounts: BOOLEAN
calculation_phase: STRING
enabled: BOOLEAN
inclusion_type: STRING
name: STRING
percentage: STRING
tax_type_id: STRING
tax_type_name: STRING

type

STRING

updated_at

DATE-TIME

version

INTEGER

team_members

Replication Method

CDC

Replication Key

updated_at

Useful links

Square documentation

Square API method

Join team_members with	on
shifts	team_members.id = shifts.team_member_id team_members.assigned_locations.location_ids = shifts.id
bank_accounts	team_members.assigned_locations.location_ids = bank_accounts.id
categories	team_members.assigned_locations.location_ids = categories.absent_at_location_ids
discounts	team_members.assigned_locations.location_ids = discounts.absent_at_location_ids
inventories	team_members.assigned_locations.location_ids = inventories.location_id
items	team_members.assigned_locations.location_ids = items.absent_at_location_ids team_members.assigned_locations.location_ids = items.item_data.variations.item_variation_data.location_overrides.location_id team_members.assigned_locations.location_ids = items.item_data.variations.present_at_location_ids team_members.assigned_locations.location_ids = items.present_at_location_ids
locations	team_members.assigned_locations.location_ids = locations.id
modifier_lists	team_members.assigned_locations.location_ids = modifier_lists.absent_at_location_ids
orders	team_members.assigned_locations.location_ids = orders.id team_members.assigned_locations.location_ids = orders.refunds.id team_members.assigned_locations.location_ids = orders.tenders.id
payments	team_members.assigned_locations.location_ids = payments.id
refunds	team_members.assigned_locations.location_ids = refunds.id
taxes	team_members.assigned_locations.location_ids = taxes.absent_at_location_ids

assigned_locations

OBJECT

This is a nested data structure:

assignment_type: STRING
location_ids: ARRAY

created_at

DATE-TIME

email_address

STRING

family_name

STRING

given_name

STRING

is_owner

BOOLEAN

phone_number

STRING

reference_id

STRING

status

STRING

updated_at

DATE-TIME

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Square

Preparing for authentication

Creating the connection

Schema

bank_accounts

cash_drawer_shifts

categories

customers

discounts

inventories

items

locations

modifier_lists

orders

payments

payouts

refunds

roles

shifts

taxes

team_members

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