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Table of Contents
What EXPLAIN shows you in phpMyAdmin
How to interpret common EXPLAIN results
Tips for using EXPLAIN effectively in phpMyAdmin
Home Database phpMyAdmin How can I use phpMyAdmin to examine the EXPLAIN output for a SQL query to understand its performance?

How can I use phpMyAdmin to examine the EXPLAIN output for a SQL query to understand its performance?

Jun 19, 2025 am 12:04 AM

The EXPLAIN statement in phpMyAdmin helps analyze SQL query performance by revealing how MySQL executes the query. 1) Run your query with EXPLAIN before SELECT, 2) Check key columns like type (avoid ALL), Extra (watch for filesort or temporary), and rows (lower is better), 3) Ensure proper indexing is used via key column, 4) Use the “Explain SQL” button if available, and 5) Re-run EXPLAIN after modifying queries or adding indexes to track improvements. Understanding these results enables targeted optimizations that enhance performance.

When you're trying to understand how a SQL query performs, the EXPLAIN statement is one of your best tools. phpMyAdmin gives you an easy way to run and examine EXPLAIN output without needing to use the command line or another tool.

What EXPLAIN shows you in phpMyAdmin

When you run an EXPLAIN on a query inside phpMyAdmin, it breaks down how MySQL executes that query. You’ll see things like which tables are being used, what indexes are involved, and whether a full table scan is happening — all of which affect performance.

To start, go to the "SQL" tab in phpMyAdmin, type in your query like this:

EXPLAIN SELECT * FROM users WHERE id = 1;

Then click “Go.” You’ll get a table showing several columns of information. Here’s what each means and why it matters:

  • id: The identifier for the select query. If you have subqueries or unions, they’ll show up with different IDs.
  • select_type: Tells you if it's a simple query, a subquery, or a union.
  • table: Which table is being accessed.
  • partitions: (If applicable) Shows which partitions are being accessed.
  • type: This is important — it tells you the join type. You want to avoid ALL, which means a full table scan. Better types include ref, eq_ref, or range.
  • possible_keys: Lists indexes that MySQL could potentially use.
  • key: Which index MySQL actually decided to use.
  • key_len: How much of the key is being used — shorter is not always worse, but longer usually means more precise lookups.
  • ref: Shows which columns or constants were used with the key.
  • rows: Estimated number of rows MySQL thinks it will need to examine. Lower is better.
  • Extra: A catch-all field with additional info. Watch out for things like “Using filesort” or “Using temporary,” which are signs of inefficient queries.

How to interpret common EXPLAIN results

Here’s how to read some typical outputs and what they mean for performance:

  • type = ALL
    This means a full table scan is happening. That’s bad unless you’re actually querying most of the table. To fix it, make sure there’s an index on the column(s) you're filtering with WHERE.

  • Extra = Using filesort
    This doesn’t mean a file is literally being sorted, but it does indicate MySQL can’t use an index to sort the data. Try adding an index on the column used in ORDER BY.

  • Extra = Using temporary
    MySQL needs to create a temporary table to process the query, often due to GROUP BY or DISTINCT. Again, indexing may help, or you might need to restructure the query.

  • rows = high number
    Even if other fields look okay, a large row count suggests inefficiency. Try narrowing the query or improving indexes.

A quick checklist:

  • Is there an index being used?
  • Are we scanning too many rows?
  • Do we see filesort or temporary tables unnecessarily?

Tips for using EXPLAIN effectively in phpMyAdmin

phpMyAdmin makes it easy to test and tweak queries. Here are a few practical tips:

  • Use the “Explain SQL” button if available — sometimes phpMyAdmin adds this shortcut right after running a query.
  • Don’t just run EXPLAIN once. Modify your query, add indexes, and re-run EXPLAIN to see how things improve.
  • Pay attention to the order of tables. MySQL processes them from top to bottom, so a large table early in the list could slow things down.
  • Look at the key column — if it’s NULL, no index is being used.

You can also view the same EXPLAIN output by editing a query in the designer tab or when viewing a table's search results — phpMyAdmin often includes the execution plan automatically.


That’s basically how you use phpMyAdmin to dig into query performance with EXPLAIN. It's not magic, but it gives you solid insight into what MySQL is doing under the hood.

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