ALL LESSONSWEEK 40SUNDAY

RETRIEVE · WASM + BROWSER SQLITE

Inspect query plans

SQLite inside the browser30–60 MINUTESCORE + PRACTICAL
01

GROUND

Problem

What becomes confusing, fragile, or impossible without understanding inspect query plans? This lesson answers that through explanation, a worked example, two runnable exercises, and a reference solution. No teacher-supplied worksheet is required.

WebAssembly brought a portable low-level compilation target to the browser; SQLite brought a mature relational engine into one embedded file.
02

LEARN

Concept explanation

Inspect query plans belongs to “SQLite inside the browser”. inspect query plans is retrieval day: rebuild core behavior without notes, then compare evidence and teach corrections.

For inspect query plans, trace concrete input, state transition, output, and failure through an explicit low-level or relational boundary where memory, crossings, schemas, queries, and persistence costs can be measured.

JavaScript calls into a WASM module whose linear memory and host imports form an explicit boundary. SQLite executes queries over pages, indexes, and a planner. Apply that model to supplied normal, boundary, and failure cases; each case below names its input and expected evidence.

Observable

Evidence produced by the inspect query plans experiment: output, state, trace, bytes, timing, or diagnostics.

Invariant

Condition that must remain true while inputs or implementation of inspect query plans change.

Boundary

Point where inspect query plans crosses ownership, representation, time, process, network, or trust.

Example bank

Compare normal, boundary, failure, and cross-layer cases. Predict each observation before revealing the explanation.

Baseline · one variable

SETUPClose notes and recreate inspect query plans from blank starting state using: Create notes table, insert 10k rows, query by indexed and unindexed columns.

OBSERVERebuilt version reproduces EXPLAIN QUERY PLAN shows scan versus index; transaction changes cost; failed transaction leaves invariant true.; correction log names every memory gap.

WHY IT MATTERSThis isolates the normal contract of inspect query plans; preserve its raw evidence as the control for every later comparison.

Boundary · same contract, harder input

SETUPWithout rereading, predict and handle: Wrap writes in transaction and compare timing.

OBSERVERecord what remains invariant and the first representation, owner, size, or timing value that changes in WASM debugger · SQLite CLI · EXPLAIN QUERY PLAN · OPFS.

WHY IT MATTERSA boundary example is useful only when one named dimension changes and everything else stays comparable.

Failure · evidence before repair

SETUPDiagnose from memory, then consult reference only after capturing evidence: Violate constraint and prove atomic rollback.

OBSERVECapture the first divergence from the baseline, including exact input, diagnostic, state, and recovery result. Expected recovery: Rebuilt version reproduces EXPLAIN QUERY PLAN shows scan versus index; transaction changes cost; failed transaction leaves invariant true.; correction log names every memory gap.

WHY IT MATTERSThe diagnostic is part of the interface. Repair the proven cause, not the most visible symptom.

Cross-layer · follow ownership

SETUPTrace inspect query plans one layer below its usual abstraction through an explicit low-level or relational boundary where memory, crossings, schemas, queries, and persistence costs can be measured.

OBSERVEInspect module exports, memory, JS/WASM crossings, schemas, indexes, transactions, query plans, OPFS files, and recovery.

WHY IT MATTERSThe lower layer is earned when it explains evidence the current layer cannot. Otherwise keep inspect query plans at the simpler boundary.

03

SEE

Worked example

Start from supplied lab.sql. Focus: Close notes and recreate inspect query plans from blank starting state using: Create notes table, insert 10k rows, query by indexed and unindexed columns.

  1. Run: sqlite3 :memory: < lab.sql
  2. Save baseline evidence. Inspect module exports, memory, JS/WASM crossings, schemas, indexes, transactions, query plans, OPFS files, and recovery.
  3. Boundary case: Without rereading, predict and handle: Wrap writes in transaction and compare timing.
  4. Failure case: Diagnose from memory, then consult reference only after capturing evidence: Violate constraint and prove atomic rollback.
RESULT
Rebuilt version reproduces EXPLAIN QUERY PLAN shows scan versus index; transaction changes cost; failed transaction leaves invariant true.; correction log names every memory gap. Starter-level baseline: Query plan reports use of observations_topic; final query prints baseline.
04

START HERE

Starter material

PREREQUISITESsqlite3 CLI for SQL labs. Verify with sqlite3 --version. WASM labs additionally need Node.js 22+ and a browser.

ONE-TIME SETUPmkdir reforging-data && cd reforging-data

Create lab.sql, paste this exact content, then run the command below.

CREATE TABLE observations (id INTEGER PRIMARY KEY, topic TEXT NOT NULL, result TEXT NOT NULL);
INSERT INTO observations(topic, result) VALUES ("inspect query plans", 'baseline');
CREATE INDEX observations_topic ON observations(topic);
EXPLAIN QUERY PLAN SELECT result FROM observations WHERE topic = "inspect query plans";
SELECT result FROM observations WHERE topic = "inspect query plans";
RUNsqlite3 :memory: < lab.sql

STOP / CLEANUPIn-memory SQLite exits after script. Stop any local web server with Ctrl+C.

05

DO WITH GUIDANCE

Guided exercise

Rebuild from memory: inspect query plans

  1. Normal case: Close notes and recreate inspect query plans from blank starting state using: Create notes table, insert 10k rows, query by indexed and unindexed columns.
  2. Write predicted evidence from this named case before running starter.
  3. Close notes, recreate core example, compare with reference, then explain corrections.
  4. Run exact normal case. Save commands, inputs, outputs, and diagnostics in notebook.
  5. Explain changed evidence using lesson mental model in no more than five sentences.
Concrete guided solution
  1. Copy the supplied lab.sql unchanged and run: sqlite3 :memory: < lab.sql
  2. Write this prediction before inspecting output: Rebuilt version reproduces EXPLAIN QUERY PLAN shows scan versus index; transaction changes cost; failed transaction leaves invariant true.; correction log names every memory gap.
  3. Perform only the named normal case: Close notes and recreate inspect query plans from blank starting state using: Create notes table, insert 10k rows, query by indexed and unindexed columns.
  4. Save the raw output, then annotate input → transition → evidence. Use WASM debugger · SQLite CLI · EXPLAIN QUERY PLAN · OPFS to confirm the transition rather than inferring it.
  5. Compare prediction with evidence; if they differ, keep both and write the rule that explains the difference. Reference baseline: Query plan reports use of observations_topic; final query prints baseline.
06

DO ALONE

Independent exercise

Teach at three depths: inspect query plans

  1. Create second case from blank file: Without rereading, predict and handle: Wrap writes in transaction and compare timing.
  2. Then create controlled failure: Diagnose from memory, then consult reference only after capturing evidence: Violate constraint and prove atomic rollback.
  3. Use WASM debugger · SQLite CLI · EXPLAIN QUERY PLAN · OPFS to prove behavior, then repair controlled failure.
  4. Compare result against supplied acceptance checks and reference approach before marking complete.
Concrete independent solution
  1. Duplicate the starter into a clean comparison case; change only this boundary: Without rereading, predict and handle: Wrap writes in transaction and compare timing.
  2. Save its evidence beside the baseline and identify the first changed value. Inspect module exports, memory, JS/WASM crossings, schemas, indexes, transactions, query plans, OPFS files, and recovery.
  3. Create the exact controlled failure: Diagnose from memory, then consult reference only after capturing evidence: Violate constraint and prove atomic rollback.
  4. Write interface and expected evidence for inspect query plans from memory before creating implementation.
  5. Rebuild smallest baseline and run: Create notes table, insert 10k rows, query by indexed and unindexed columns.
  6. Add boundary and failure cases without notes: Wrap writes in transaction and compare timing. / Violate constraint and prove atomic rollback.
  7. Compare against prior week artifact; record omissions and wrong assumptions.
  8. Correct, rerun until EXPLAIN QUERY PLAN shows scan versus index; transaction changes cost; failed transaction leaves invariant true., then teach cause-and-effect at three depths.
  9. Rerun baseline, boundary, and repaired failure together. Accept only if all reproduce: Rebuilt version reproduces EXPLAIN QUERY PLAN shows scan versus index; transaction changes cost; failed transaction leaves invariant true.; correction log names every memory gap.
07

COMPARE

Expected result

  • Rebuilt version reproduces EXPLAIN QUERY PLAN shows scan versus index; transaction changes cost; failed transaction leaves invariant true.; correction log names every memory gap.
  • Query plan reports use of observations_topic; final query prints baseline.
  • Controlled inspect query plans failure produces captured evidence; repair restores stated invariant without hiding error.
08

PROVE

Acceptance checks

Lesson is complete only when every check is true. Each check is stored locally and travels with your JSON backup.

0/5 complete · saved on this device

09

UNSTICK

Hints

Reveal hints
  1. Start with supplied normal case exactly as written: Close notes and recreate inspect query plans from blank starting state using: Create notes table, insert 10k rows, query by indexed and unindexed columns.
  2. For boundary case, change only named dimension: Without rereading, predict and handle: Wrap writes in transaction and compare timing.
  3. If result is confusing, diff raw inputs and evidence before editing implementation.
  4. If tool shows nothing useful, move observation one boundary lower: representation, runtime, OS, or network.
10

VERIFY

Solution

Attempt both exercises before opening reference approach.

Reveal reference solution
  1. Run unmodified starter and preserve baseline evidence: Query plan reports use of observations_topic; final query prints baseline.
  2. Write interface and expected evidence for inspect query plans from memory before creating implementation.
  3. Rebuild smallest baseline and run: Create notes table, insert 10k rows, query by indexed and unindexed columns.
  4. Add boundary and failure cases without notes: Wrap writes in transaction and compare timing. / Violate constraint and prove atomic rollback.
  5. Compare against prior week artifact; record omissions and wrong assumptions.
  6. Correct, rerun until EXPLAIN QUERY PLAN shows scan versus index; transaction changes cost; failed transaction leaves invariant true., then teach cause-and-effect at three depths.
11

PREDICT · INSPECT · BREAK · DEBUG · MEASURE

Interrogate reality

Prediction: write expected output, state transition, ordering, and failure evidence before running either exercise.

Inspection: Inspect module exports, memory growth, JS/WASM crossings, SQL query plans, indexes, OPFS files, and storage durability.

Measurement: Compare parse/compile startup, boundary calls, query latency, index cost, database size, and equivalent JavaScript.

INSPECT

Capture raw evidence before explaining.

BREAK

Change one assumption and force controlled failure.

DEBUG

Find cause with WASM debugger · SQLite CLI · EXPLAIN QUERY PLAN · OPFS before editing fix.

TOOL DRILL · keyboard only · record one retrievable command or shortcut
12

MASTERY + FRONTIER + BOUNDARY

Own the knowledge

TEACH

Explain inspect query plans at beginner, intermediate, and senior depth.

REBUILD

Recreate smallest useful example from blank file without notes or AI.

RETRIEVE

Schedule recall for day 1, 7, 30, and 90.

Creative frontier lab

Try first without opening the solutions. The constraints invite invention; the reference gives one concrete direction, never the only valid answer.

Constraint inversion

Re-solve inspect query plans by removing the most convenient abstraction. batch work across the boundary and prove whether the lower layer is actually earned.

CONSTRAINTKeep the same inputs, observable result, and failure evidence; change the means, not the contract.

ORIGINAL IDEATurn subtraction into a design tool: the missing abstraction should reveal which responsibility it used to hide.

Reveal frontier solution
  1. Freeze the contract as three fixtures: Close notes and recreate inspect query plans from blank starting state using: Create notes table, insert 10k rows, query by indexed and unindexed columns. / Without rereading, predict and handle: Wrap writes in transaction and compare timing. / Diagnose from memory, then consult reference only after capturing evidence: Violate constraint and prove atomic rollback.
  2. List every convenience used by the starter; remove the highest-level one while preserving sqlite3 :memory: < lab.sql.
  3. Implement the smallest replacement using batch work across the boundary and prove whether the lower layer is actually earned.
  4. Run all fixtures and compare raw evidence. Keep the simpler version unless the removed abstraction has a demonstrated benefit.
Representation x-ray

Build an explanation artifact for inspect query plans: measure host crossings, memory regions, query plans, pages, transactions, and persistence files.

CONSTRAINTA peer must be able to locate the first divergence without reading implementation code.

ORIGINAL IDEATreat the explanation itself as a product: make invisible transitions visible, replayable, and diffable.

Reveal frontier solution
  1. Create one row or timestamped event for each transition in: Close notes and recreate inspect query plans from blank starting state using: Create notes table, insert 10k rows, query by indexed and unindexed columns.
  2. For every row record input, representation, owner, operation, output, and tool evidence from WASM debugger · SQLite CLI · EXPLAIN QUERY PLAN · OPFS.
  3. Replay Without rereading, predict and handle: Wrap writes in transaction and compare timing.; highlight only changed rows.
  4. Replay Diagnose from memory, then consult reference only after capturing evidence: Violate constraint and prove atomic rollback.; stop at the first divergent row and attach its recovery action.
Adversarial remix

Combine the boundary and failure into a new user-visible scenario for inspect query plans. make a backup that can reconstruct schema and data after a deliberately interrupted migration.

CONSTRAINTDo not merely add more input. Invent a recovery interaction, alternate representation, or self-checking behavior.

ORIGINAL IDEAMake the system teach its own limits: the artifact should expose the invariant and offer a safe next action when it breaks.

Reveal frontier solution
  1. Combine these two pressures without changing them: Without rereading, predict and handle: Wrap writes in transaction and compare timing. AND Diagnose from memory, then consult reference only after capturing evidence: Violate constraint and prove atomic rollback.
  2. Name the invariant that must survive and the user-visible evidence when it cannot: Rebuilt version reproduces EXPLAIN QUERY PLAN shows scan versus index; transaction changes cost; failed transaction leaves invariant true.; correction log names every memory gap.
  3. Implement this original direction: make a backup that can reconstruct schema and data after a deliberately interrupted migration.
  4. Demonstrate baseline, combined failure, recovery, then baseline again; save the sequence as a regression fixture.

Capability frontier

Push inspect query plans until another layer becomes justified. Record one robust technique, one contextual trade-off, and one labeled hack or historical curiosity.

CORE · PRACTICAL · CONTEXTUAL · HACK · FRAGILE · HISTORICAL · GOLF

Boundary

A local database is not shared authority; WASM is not automatically faster and adds delivery and debugging cost.

If this vanished tomorrow…

Use JavaScript data structures, IndexedDB, flat files, server queries, or a smaller purpose-built parser.

Why next layer is earned

Graphics and media APIs are earned when documents and ordinary DOM rendering cannot express pixels, audio, or streams.