Skip to main content
SAP Business One is the ERP from SAP for small and midsize companies, covering sales, purchasing, inventory, banking and accounting. This connector reads your company through the SAP Business One Service Layer, the official REST API of SAP Business One (versions 9.3 and 10.0, on SQL Server or SAP HANA). It brings sales and purchasing documents with their lines and installments, incoming and outgoing payments with the documents they settled, journal entries, business partners, items with prices and stock per warehouse, and the main setup tables (chart of accounts, warehouses, cost centers, payment terms and others).
The connector only reads data. It signs in to the Service Layer, reads the selected objects and signs out. It never creates, changes or cancels anything in SAP Business One.

Before you start

The Service Layer runs on your SAP Business One server (or at your SAP partner’s cloud). Ask your IT team or SAP partner to:
  1. Make the Service Layer reachable from the internet for Nekt. Nekt connects to it over HTTPS, by default on port 50000 (for example https://sap.yourcompany.com:50000/b1s/v2). Open the firewall or port forwarding for Nekt’s IP addresses, or publish the Service Layer through a reverse proxy. Contact Nekt support to get the IP addresses.
  2. Create a user for Nekt (recommended) with read access to the objects you want to sync, under Administration > System Initialization > Authorizations > General Authorizations. Business partners, items, sales and purchasing documents, incoming and outgoing payments, journal entries and the setup tables each have their own authorization.
  3. Check the TLS certificate. The SAP installation creates a self-signed certificate for the Service Layer. Nekt verifies certificates by default, so a certificate issued by a trusted authority for the address you give Nekt is recommended. If that is not possible, see Verify TLS Certificate below.

Configuring SAP Business One as a Source

In the Sources tab, click on the “Add source” button located on the top right of your screen. Then, select the SAP Business One option from the list of connectors. Click Next and you’ll be prompted to add your access.

1. Add account access

The following configurations are available:
  • Service Layer URL: The address of your Service Layer as Nekt reaches it over the internet, ending in /b1s/v2 (or /b1s/v1 on versions older than 10.0). For example: https://sap.yourcompany.com:50000/b1s/v2. Only HTTPS addresses are accepted.
  • Company Database: The database name of the company to read, as shown in the Database Name column of the company selection screen (for example SBO_MYCOMPANY), not the company’s display name.
  • User Name and Password: The SAP Business One user the connector signs in with.
  • Start Date: (Optional, advanced) Only read records created or changed on or after this date (documents, business partners, items) or posted on or after it (payments, journal entries). Leave it empty to read the whole history. For companies with many years of data, setting a start date is recommended: the first load of journal entries alone can take hours.
  • Lookback Days: (Optional, advanced) Days re-read before the last sync position on every incremental run, to catch changes saved late. Default: 2.
  • Page Size: (Optional, advanced) Records requested per call to the Service Layer. Default: 100. Lower it if your Service Layer times out on documents with many lines.
  • Verify TLS Certificate: (Optional, advanced) On by default. Turn it off only if your Service Layer still uses the self-signed certificate created by the SAP installation and you cannot replace it. The connection stays encrypted, but Nekt can no longer confirm it is talking to your server, and every sync logs a warning.
When you click Next, Nekt signs in to the Service Layer once to check the URL, company and credentials.

2. Select streams

Choose which data streams you want to sync. For faster extractions, select only the streams that are relevant to your analysis. You can select entire groups of streams or pick specific ones.
Tip: The stream can be found more easily by typing its name.
Select the streams and click Next.

3. Configure data streams

Customize how you want your data to appear in your catalog. Select the desired layer where the data will be placed, a folder to organize it inside the layer, a name for each table (which will effectively contain the fetched data) and the type of sync.
  • Layer: choose between the existing layers on your catalog. This is where you will find your new extracted tables as the extraction runs successfully.
  • Folder: a folder can be created inside the selected layer to group all tables being created from this new data source.
  • Table name: we suggest a name, but feel free to customize it. You have the option to add a prefix to all tables at once and make this process faster!
  • Sync Type: you can choose between INCREMENTAL and FULL_TABLE.
    • Incremental: every time the extraction happens, we’ll get only the new data, which is good if, for example, you want to keep every record ever fetched.
    • Full table: every time the extraction happens, we’ll get the current state of the data, which is good if, for example, you don’t want to have deleted data in your catalog.
Keep a document and its lines (and installments) on the same sync type. If the lines are set to FULL_TABLE while the document is INCREMENTAL, the connector reads the whole document history on every run to keep the lines table complete, and logs a warning.
Once you are done configuring, click Next.

4. Configure data source

Describe your data source for easy identification within your organization, not exceeding 140 characters. To define your Trigger, consider how often you want data to be extracted from this source. This decision usually depends on how frequently you need the new table data updated (every day, once a week, or only at specific times). Optionally, you can define some additional settings:
  • Configure Delta Log Retention and determine for how long we should store old states of this table as it gets updated. Read more about this resource here.
  • Determine when to execute an Additional Full Sync. This will complement the incremental data extractions, ensuring that your data is completely synchronized with your source every once in a while. A periodic full sync is useful here: it refreshes business partner balances and item quantities, picks up edits to older payments and journal entries, and removes lines deleted from open orders and quotations.
Once you are ready, click Next to finalize the setup.

5. Check your new source

You can view your new source on the Sources page. If needed, manually trigger the source extraction by clicking on the arrow button. Once executed, your data will appear in your Catalog.
For you to be able to see it on your Catalog, you need at least one successful source run.

How data is kept up to date

  • Documents, business partners and items are read by their last update date (update_date). The last synced day and the lookback days before it are always read again.
  • Documents that change status later (an order closed by a delivery, an invoice paid, cancelled or reopened) are covered even when SAP does not change their update date: every run lists the open documents with a light request and reads again the ones that opened or closed since the previous run. For invoices, credit memos and down payments it also reads again the ones whose paid amount changed (partial payments).
  • Orders, quotations and other documents copied into new documents are read again when a later document is created from them (for example, a partial delivery of an open order changes the order’s open quantities and line status). The connector reads again the source document named on the lines of each new or changed document, in the same run when possible, otherwise on the next run. Only the document streams you selected are refreshed this way.
  • Payments and journal entries have no update date in the Service Layer. New ones are read by their internal number; payments cancelled after they were synced are detected and read again. Other edits to payments and journal entries made after they were synced (remarks, references, user-defined fields, payment block, due dates of journal entry lines) only reach your tables on a full sync.
  • Setup tables, item prices and stock per warehouse are read in full on every run, so they always show the current values.
  • If the user loses access to an object, or the Service Layer keeps failing, the run fails with a message saying what to fix. It never finishes successfully with data missing.
A line removed from an open order or quotation in SAP stays in the lines table, because tables are updated by key. Documents and their lines and installments carry extracted_at, the moment the connector read them: keep only lines whose extracted_at equals the extracted_at of their document (join on doc_entry). For example: SELECT l.* FROM order_lines l JOIN orders o ON o.doc_entry = l.doc_entry AND o.extracted_at = l.extracted_at.
Balances on business partners (current_account_balance and the open balances) and quantities on items (quantity_on_stock and similar) change with every transaction without changing the record’s update date. In incremental syncs they show the value of the last time the record itself changed. Use item_warehouse_stock for current stock, and open invoices for current receivables.

Streams and Fields

Available streams

The table below lists every stream, its slug (the exact identifier to pass when creating the source via API) and a short description.

Fields by stream

Every stream has the standard fields of its SAP Business One object (several hundred on documents, business partners and items), named in snake_case: DocTotal becomes doc_total, CardCode becomes card_code. Dates come as YYYY-MM-DD (the business date in SAP, with no time zone), times as HH:MM:SS text, amounts as decimal numbers, and SAP enumerations keep their SAP values (for example tYES/tNO, bost_Open/bost_Close). Two fields are common to all streams:
  • user_fields - Your company’s user-defined fields (UDFs, the fields whose names start with U_) as a JSON object, for example {"U_Segment": "Retail"}.
  • other_fields - Fields returned by the Service Layer that have no column of their own (for example fields added in newer SAP Business One versions), as a JSON object.
Nested objects and lists (addresses, tax details, batch numbers and similar) are stored as JSON text. The main fields of each group of streams are listed below.
One row per document. Primary key: doc_entry. Incremental key: update_date.
  • doc_entry - Internal key of the document
  • doc_num - Document number shown in SAP Business One
  • series - Numbering series of the document
  • doc_date, doc_due_date, tax_date - Posting, due and document dates
  • card_code, card_name - Customer or vendor
  • doc_total, doc_total_fc, doc_total_sys - Document total in local, foreign and system currency
  • vat_sum - Tax amount
  • paid_to_date - Amount already paid or cleared
  • doc_currency, doc_rate - Currency and exchange rate
  • document_status - Open or closed (bost_Open, bost_Close)
  • cancelled, cancel_status - Whether the document was cancelled
  • sales_person_code - Sales employee (see sales_persons)
  • payment_group_code - Payment terms (see payment_terms_types)
  • bpl_id_assigned_to_invoice, bpl_name - Business place (branch)
  • sequence_code, sequence_serial, series_string, sequence_model - Nota Fiscal numbering (Brazil)
  • tax_extension, address_extension - Tax, transport and address details (JSON)
  • comments, num_at_card - Remarks and the customer’s or vendor’s reference number
  • creation_date, update_date, update_time - When the document was created and last updated
  • extracted_at - When the connector read the document (shared with its lines and installments)
One row per line. Primary key: doc_entry + line_num.
  • doc_entry, line_num - Document and line number
  • item_code, item_description - Item
  • quantity, price, unit_price, discount_percent - Quantity, price and discount
  • line_total - Line total before tax
  • warehouse_code - Warehouse
  • account_code - G/L account
  • costing_code to costing_code5, project_code - Distribution rules (cost centers) and project
  • tax_code, tax_total - Tax code and amount
  • line_status - Open or closed
  • base_type, base_entry, base_line - Document the line was copied from (for example the order of an invoice line)
  • cfop_code, ncm_code, cst_for_pis, cst_for_cofins, cst_for_ipi - Brazilian tax codes
  • update_date - Last update date of the document the line belongs to
  • extracted_at - When the connector read the line’s document: lines whose value differs from their document’s were removed in SAP
One row per installment. Primary key: doc_entry + installment_id.
  • doc_entry - Document
  • installment_id - Installment number
  • due_date - Due date of the installment
  • total, total_fc - Installment amount in local and foreign currency
  • percentage - Share of the document total
  • payment_ordered - Whether the installment was already included in a payment run
One row per payment. Primary key: doc_entry. Incremental key: doc_entry (new payments get higher numbers).
  • doc_entry, doc_num - Internal key and number of the payment
  • doc_date, due_date, tax_date - Posting, due and document dates
  • card_code, card_name - Customer or vendor
  • cash_sum, transfer_sum, check_account, transfer_account - Amounts and accounts by payment method
  • doc_currency, doc_rate - Currency and exchange rate
  • cancelled - Whether the payment was cancelled
  • payment_checks, payment_credit_cards, payment_accounts - Payment method details (JSON)
  • bplid, bpl_name - Business place (branch)
One row per settled document. Primary key: payment_doc_entry + line_num.
  • payment_doc_entry - The payment (join to doc_entry of the payment stream)
  • doc_entry - The settled document; its type is in invoice_type (for example it_Invoice for an A/R invoice)
  • installment_id - Installment of the settled document
  • sum_applied, applied_fc, applied_sys - Amount applied
  • discount_percent, total_discount - Cash discount
journal_entries: one row per entry, primary and incremental key jdt_num (the transaction number). journal_entry_lines: one row per line, primary key jdt_num + line_id.
  • jdt_num - Transaction number
  • reference_date, due_date, tax_date - Posting, due and document dates
  • memo, reference, reference2, reference3 - Remarks and references
  • original_journal, original, base_reference - Transaction that created the entry (for example an A/R invoice)
  • project_code - Project
  • Lines: account_code, short_name, debit, credit, fc_debit, fc_credit, contra_account, costing_code to costing_code5, bplid, line_memo
One row per business partner. Primary key: card_code. Incremental key: update_date.
  • card_code, card_name, card_foreign_name - Code and names
  • card_type - Customer, vendor or lead
  • group_code - Group (see business_partner_groups)
  • federal_tax_id - Federal tax ID
  • phone1, email_address, city, county, country - Contact data
  • pay_terms_grp_code, price_list_num, sales_person_code - Default payment terms, price list and sales employee
  • credit_limit, current_account_balance - Credit limit and balance
  • bp_addresses, contact_employees, bp_fiscal_tax_id_collection, bp_bank_accounts - Addresses, contacts, tax IDs (CNPJ, CPF and state registration in Brazil) and bank accounts (JSON)
  • create_date, update_date - When the record was created and last updated
items: one row per item, primary key item_code, incremental key update_date. item_prices: primary key item_code + price_list. item_warehouse_stock: primary key item_code + warehouse_code.
  • item_code, item_name, foreign_name - Code and names
  • items_group_code - Item group (see item_groups)
  • inventory_item, sales_item, purchase_item - Item type flags
  • inventory_uom, sales_unit, purchase_unit - Units of measure
  • ncm_code - NCM code (Brazil)
  • valid, frozen - Active and blocked flags
  • Prices: price_list, price, currency
  • Stock: warehouse_code, in_stock, committed, ordered, minimal_stock, maximal_stock, standard_average_price
Read in full on every run. Primary keys: chart_of_accounts.code, warehouses.warehouse_code, item_groups.number, sales_persons.sales_employee_code, payment_terms_types.group_number, profit_centers.center_code, distribution_rules.factor_code, projects.code, business_partner_groups.code, business_places.bplid, price_lists.price_list_no.
  • Chart of accounts: code, name, account_type, active_account, father_account_key, balance, acct_currency
  • Payment terms: group_number, payment_terms_group_name, number_of_additional_days, number_of_installments
  • Profit centers and distribution rules: center_code, center_name, in_which_dimension, factor_code, factor_description

Troubleshooting