DROP TABLE IF EXISTS user;
DROP TABLE IF EXISTS user_key;
DROP TABLE IF EXISTS user_session;
CREATE TABLE user (
id VARCHAR(15) NOT NULL PRIMARY KEY,
username VARCHAR(15) NOT NULL,
name VARCHAR(50) NOT NULL,
userStatus VARCHAR(10) NOT NULL -- student or alumni or faculty or drop-out
);
M
MMMMM
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H
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RMR
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db-preview name) and I verified they exist with PRAGMA. However, when I use wranger dev, env.DB doesn't have any tables. If I use wrangler dev --remote to connect to production db, it works fine. When I start wranger dev, it shows the correct id in D1 Preview that it gives for db-preview, so where is the disconnect happening here?
Kdev--remote
--locald1 execute tooMMMrows_written and rows_read in the metadata for every query. Documentation landing soon. e.g.MK
UM
IU
HUMHM
created_at column of a usersSELECT * FROM users WHERE created_at = ?1 - that will use the index to look up the rows in the usersuserscreated_at filter.users
MSELECT * FROM table LIMIT N - yes. But if you have a filter like a WHEREHAVING clause, then you have to scan more rows to match the filter, since your table isn't necessarily ordered.U
MORDER in that query. But it has to scan the table somehow - usually a binary search. It's going to keep searching (scanning) until it has matched all possible records, or hit the LIMITUUMLIMIT 10M
MORDER BY <some_date_column> queries. I probably need to add this to the docs.M
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db-previewdb-previewd1 executerows_writtenrows_readWhile in the Open Alpha period, there is a possibility of breaking changes. The Alpha is meant for testing purposes and using it for production traffic is not recommended.created_atcreated_atSELECT * FROM users WHERE created_at = ?1SELECT * FROM table LIMIT NHAVING➜ wrangler d1 execute db-wnam --command "SELECT * FROM [Order] WHERE ShipRegion LIKE '%Western%' LIMIT 10" --json | jq '.[].meta.rows_read'
18 <-- we had to scan 18 rows to find 10 that matched our filterORDERLIMITLIMIT 10ORDER BY <some_date_column>➜ wrangler d1 execute db-enam --command "INSERT INTO users(email_address,created_at,deleted,settings) VALUES ('me@example.com,', 1687904983, null, '{}')" --json
[
{
"results": [],
"success": true,
"meta": {
"duration": 0.17432300001382828,
"size_after": 45137920,
"rows_read": 0,
"rows_written": 2 // Two rows: one to the table, and one to the index as there's an index on created_at for this table
}
}
]