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✨ 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 Charts for Search & Replace by Inpsyde: operations audit

Search & Replace by Inpsyde rewrites strings across wp_posts, wp_postmeta, wp_options and any custom table you target. SleekView reads those tables and renders a chart audit of what was touched, by table and by post type, so URL swaps and domain moves stay safe.

♾️ Lifetime License available

SleekView Charts dashboard for Search & Replace by Inpsyde

Search and replace without an audit is a leap of faith

Search & Replace by Inpsyde is the de-facto WordPress tool for migrating from staging to production. It walks wp_posts, wp_postmeta, wp_options and any table you point at, replacing strings and respecting serialized arrays. The dry-run mode reports counts per table, the live run executes them. What the plugin does not surface is a visual: where did the replacements actually land, which post types absorbed them and how much of the change set was in serialized meta.

SleekView Charts treats the WordPress core tables as data sources. After a domain swap, the chart layer runs counts against wp_posts.post_content LIKE queries, wp_postmeta.meta_value LIKE queries and the option-row equivalent, then renders the results as cards. A Number shows total old-domain hits remaining, a bar lists hits by table, a donut breaks remaining URLs down by post type and an area tracks domain references over time as cleanup progresses.

Because Search & Replace itself does not persist a log, the chart layer effectively becomes the audit trail. Run it before the replace to scope the work, run it after to confirm zero remaining matches, and the screenshots become the evidence trail the launch checklist needs.

Workflow

From wp_posts and wp_postmeta to a replacement audit

1

Connect SleekView to core tables

Point the view at wp_posts, wp_postmeta, wp_options and any custom tables so each cell becomes searchable as a row column in chart queries.
2

Define the old-domain string

Set the chart filter to the old domain or hostname being replaced. SleekView runs LIKE queries against the relevant columns and counts matches per row.
3

Add the four chart cards

A Number for total remaining hits, a bar for hits by table, a donut for hits by post type and an area for the burn-down of remaining matches over time.
4

Save the view as a launch artifact

Pin the dashboard so the same chart cards run before and after each Search & Replace operation, making the audit trail repeatable and shareable.

Sample dashboard

Charts you can build around Search & Replace operations

Four cards that turn LIKE-query results across wp_posts, wp_postmeta and wp_options into a before-and-after replacement audit.
Number · Default

Old-domain hits remaining

Single big-number KPI counting rows across wp_posts.post_content, wp_postmeta.meta_value and wp_options.option_value where the value still matches the old domain string.
Count
Bar · Horizontal

Hits by table

Horizontal bar of matching rows grouped by source table (wp_posts, wp_postmeta, wp_options, custom tables), so the team sees whether serialized meta or post content is the residual.
Count group by source_table
Pie · Donut

Hits by post type

Donut over rows joined to wp_posts.post_type so remaining matches are broken down by page, post, product, attachment or custom type for targeted follow-up.
Count group by post_type
Area · Linear

Remaining matches over time

Linear area chart of remaining old-domain matches over successive snapshots, showing the burn-down curve from the first dry-run through the final cleanup pass.
Sum(remaining_count) group by snapshot_at

Comparison

Default Search & Replace dialog vs SleekView Charts

Default Search & Replace dialog

  • Dry-run reports counts per table but does not visualize them.
  • Per-post-type breakdown of remaining matches is not surfaced.
  • No persisted history of past runs or burn-down progress.
  • Custom tables outside the core schema need manual selection each time.
  • After-run audit relies on re-opening the dialog and reading the totals.

SleekView Charts

  • Old-domain KPI counted across wp_posts, wp_postmeta and wp_options.
  • Hits-by-table bar to see whether serialized meta is the residual.
  • Post-type donut for targeted cleanup of specific content types.
  • Burn-down area chart as the launch-readiness evidence trail.
  • Capability-gated views so the audit stays scoped to ops.

Features

What SleekView Charts gives you for Search & Replace by Inpsyde

Before-and-after audit

Run the same dashboard before the replace to scope the work and after to confirm zero matches. The chart cards become the launch checklist artifact.

Per-table visibility

Hits-by-table bar shows whether residual references are in post content, postmeta serialization, options or custom tables, which guides the next replace.

Burn-down evidence

Successive snapshots produce an area chart of remaining matches over time, useful as compliance evidence for staging-to-production migrations.

Audience

Who builds Search & Replace audit dashboards with SleekView

Migration leads

Pre-launch sanity check that the old hostname is fully replaced across posts, meta, options and custom tables before flipping DNS.

Devops and platform engineers

Standing dashboard during staging-to-production swaps so the team can run the replace in passes and watch the count fall to zero.

Compliance reviewers

Repeatable evidence that string replacements completed cleanly, with the burn-down curve as a deployment-quality artifact.

The bigger picture

Search and replace is high stakes when it goes wrong

Most WordPress production outages start with an old domain still hiding in serialized postmeta. The replace dialog reports per-table counts and then the team trusts that it worked. Charting the same LIKE queries before and after the run gives a real audit.

Remaining hits, table distribution, post-type breakdown and burn-down stop being a one-off dialog and become a saved view that lives next to the rest of the ops dashboards. The launch checklist gets a screenshot instead of a verbal confirmation, which is a meaningful upgrade for serious projects.

Questions

Common questions about SleekView Charts for Search & Replace by Inpsyde

Yes. The plugin operates on wp_posts, wp_postmeta and wp_options regardless of license. SleekView's chart cards target the same tables that the replace tool walks during a run.

 

Yes. Add the custom table as a SleekView data source and define the columns to search. The chart card then includes that table alongside wp_posts and wp_postmeta in the hits count.

 

No. SleekView is read-only by default. Charts run LIKE queries that count matches, and the actual replacement still runs through Search & Replace or WP-CLI search-replace.

 

Counting matches against wp_posts and wp_postmeta is fast on most sites. SleekView caches chart results and you can scope queries to specific post types or tables for very large databases.

 

Yes. Charts can drill into a SleekView table view that lists the actual matching rows with their IDs and source table, useful for spot-checking before a follow-up replace.

 

LIKE queries do not respect serialization, but they do detect any byte-sequence match. That is usually enough to scope the work and confirm zero remaining occurrences after a serialization-aware replace runs.

 

Yes. SleekView can record a numeric snapshot per chart with a timestamp, which is what powers the burn-down area chart across successive dry runs and replacement passes.

 

Yes. Many teams use WP-CLI for the actual replace and SleekView for the audit. The chart counts are blind to which tool ran the operation, so workflows can mix both freely.

 

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