✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount

SleekView for WPGraphQL for WooCommerce: schema, type, and query log tables

WPGraphQL for WooCommerce registers product, cart, order, and customer types on top of the WooCommerce schema. SleekView turns the registered types, their fields, and the WPGraphQL query log into a sortable, filterable admin table.

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SleekView table view for WPGraphQL for WooCommerce

Audit the WPGraphQL Woo schema and every headless query in one table

WPGraphQL for WooCommerce extends the WPGraphQL schema with Woo-specific types like Product, Cart, Order, and Customer, each backed by WooCommerce's existing tables (wp_posts, wp_postmeta, and HPOS wc_orders when enabled). WPGraphQL itself records query logs in wp_options rows under the graphql_query_log key when logging is enabled. The default WPGraphQL admin lists types in a tree and shows individual query logs in a chronological panel.

SleekView reads the registered schema (via WPGraphQL's own type registry) and surfaces every type, field, and connection as a real row. The type name, field name, return type, deprecation flag, and Woo source object all become columns. Query logs surface as a sibling view with operation name, variables digest, duration, and result counts as filterable columns, so you can find the slow products(first: 100) query and the deprecated productCategoryToProduct connection in the same admin.

SleekView never modifies the schema. Edits in the type view are read-only by design (the schema is code-defined). The query log view supports inline annotation, archive, and bulk export so the platform team can triage slow operations through the same surface that powers product and order views.

Workflow

From a type tree to a real schema and log table

1

Pick the source

Choose the WPGraphQL type registry or the graphql_query_log. SleekView reads each and offers the relevant fields as candidate columns.
2

Compose columns

Build a schema view with type name, field name, return type, and deprecation reason. Build a log view with operation, duration, and result count side by side.
3

Save and scope

Save a schema audit view for platform engineering and a query log view for store ops. Permissions follow WPGraphQL's existing role checks.
4

Triage and annotate

Inline annotate slow queries with owner and follow-up. Archive resolved entries. The schema view stays read-only, so the source of truth is still the code.

Sample columns

A typical WPGraphQL for WooCommerce query log view

Recent headless queries with operation, duration, and result count as columns.
Source: WPGraphQL type registry + wp_options (graphql_query_log) + WooCommerce tables
Operation Variables Duration Results Errors Run at
ProductsFeed first: 100 412 ms 100 None Apr 24
CartUpdate items: ["sku-1"] 184 ms 1 None Apr 24
OrderHistory customerId: 42 2,180 ms 240 Truncated Apr 23
CheckoutPay method: stripe 91 ms 0 Payment denied Apr 24

Comparison

Default WPGraphQL for WooCommerce admin vs SleekView

Default WPGraphQL admin

  • Schema browser is a tree, not a sortable list of types and fields
  • Query logs in graphql_query_log are chronological with no aggregation
  • No way to filter to slow queries above a duration threshold
  • Deprecated fields are flagged in the schema but not listed together
  • Per-operation usage counts require log digging or external tooling

SleekView

  • Schema becomes a sortable, filterable table of types and fields
  • Query log surfaces operationName, duration, and result count as columns
  • Filter to deprecated fields or slow queries in one click
  • Aggregate by operationName to see the heaviest operations
  • Saved views split platform engineering from store ops

Features

What SleekView gives you for WPGraphQL for WooCommerce

Schema as a flat list

WPGraphQL's type registry exposes every type and field. SleekView pivots it into a sortable table so deprecated fields and unused connections are easy to find.

Query log as a table

Operation name, variables digest, duration, and result count all become columns. Sort by duration to find the slow query before the customer support ticket arrives.

Filter by operation and error

Stacked filters on operationName, error class, and customer ID. The headless team finds the failing checkout query in seconds instead of grepping logs.

Audience

Who uses SleekView for WPGraphQL for WooCommerce

Headless engineers

Triage slow product feeds and cart mutations from one table. Sort by duration, filter by operation name, and act on the result without leaving WP Admin.

Schema reviewers

Audit deprecated fields, missing descriptions, and unused connections across the Woo schema. Sort by deprecation flag to scope a clean-up release.

Store operators

Cross-reference cart and order operations with the Woo orders view in the same SleekView surface. The schema row and the order row live in adjacent tabs.

The bigger picture

Why headless WooCommerce needs an admin table

Headless WordPress stores live or die by the GraphQL surface they expose. WPGraphQL for WooCommerce is the de facto extension that makes Woo shoppable through a typed schema, but the operational story has lagged the developer story. The schema browser is a tree, the query log is a chronological list, and the data that already lives in the Woo tables is invisible from the headless admin until someone writes a custom dashboard.

Teams running real headless storefronts know the routine: a slow query at peak hours, a deprecated field a partner is still calling, a checkout mutation that started returning errors after a third-party plugin update. The data is all there, in the type registry and in graphql_query_log. SleekView pivots both into proper tables so the audit, the triage, and the clean-up happen in one place.

The schema stays code-owned. The operations get the workbench they were missing.

Questions

Common questions about SleekView for WPGraphQL for WooCommerce

Yes. WPGraphQL for WooCommerce resolves order objects against whichever store WooCommerce uses, so SleekView reads from wc_orders when HPOS is enabled and from wp_posts (post_type=shop_order) when it is not. The schema view is identical either way.

 

No. The schema is defined in code, and SleekView is read-only for type and field rows. Only the query log view supports editing, and that editing is limited to annotations and archive flags, not changing how the schema resolves.

 

The schema view works without logging. The query log view requires WPGraphQL's graphql_query_log or an equivalent logger to be active. SleekView reads whichever logger is enabled and falls back gracefully when none is.

 

Yes. Any type registered through register_graphql_object_type appears in the schema view alongside the core Woo types. Custom fields added through register_graphql_field become rows under their parent type.

 

Deprecated fields carry a deprecation reason in the WPGraphQL registry. SleekView exposes that as a column and a one-click filter so a clean-up audit is a saved view rather than a grep.

 

Yes. SleekView paginates and uses indexed filters on operation name, duration, and run time. Large historical logs can be moved to an archive view that the live table does not query.

 

Yes. The query log view supports group-by on operationName and variables digest, returning count, total duration, and average duration. This is the same data the platform team would otherwise pull through a one-off report.

 

Yes. Exports include all visible columns as CSV and respect any redaction filters applied at the log layer. PII inside variables remains masked the same way the plugin masks it in its own UI.

 

Pricing

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