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id ▼ | html_url | issue_url | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
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505060332 | https://github.com/simonw/datasette/issues/526#issuecomment-505060332 | https://api.github.com/repos/simonw/datasette/issues/526 | MDEyOklzc3VlQ29tbWVudDUwNTA2MDMzMg== | simonw 9599 | 2019-06-24T15:28:16Z | 2019-06-24T15:28:16Z | OWNER | This is currently a deliberate feature decision. The problem is that the streaming CSV feature relies on Datasette's automated efficient pagination under the hood. When you stream a CSV you're actually causing Datasette to paginate through the full set of "pages" under the hood, streaming each page out as a new chunk of CSV rows. This mechanism only works if the `next_url` has been generated for the page. Currently the `next_url` is available for table views (where it uses [the primary key or the sort column](https://datasette.readthedocs.io/en/stable/sql_queries.html#pagination)) and for views, but it's not set for canned queries because I can't be certain they can be efficiently paginated. Offset/limit pagination for canned queries would be a pretty nasty performance hit, because each subsequent page would require even more time for SQLite to scroll through to the specified offset. This does seem like it's worth fixing though: pulling every row for a canned queries would definitely be useful. The problem is that the pagination trick used elsewhere isn't right for canned queries - instead I would need to keep the database cursor open until ALL rows had been fetched. Figuring out how to do that efficiently within an asyncio managed thread pool may take some thought. Maybe this feature ends up as something which is turned off by default (due to the risk of it causing uptime problems for public sites) but that users working on their own private environments can turn on? | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Stream all results for arbitrary SQL and canned queries 459882902 | |
505161008 | https://github.com/simonw/datasette/issues/526#issuecomment-505161008 | https://api.github.com/repos/simonw/datasette/issues/526 | MDEyOklzc3VlQ29tbWVudDUwNTE2MTAwOA== | simonw 9599 | 2019-06-24T20:11:15Z | 2019-06-24T20:11:15Z | OWNER | Views already use offset/limit pagination so actually I may be over-thinking this. Maybe the right thing to do here is to have the feature enabled by default, since it will work for the VAST majority of queries - the only ones that might cause problems are complex queries across millions of rows. It can continue to use aggressive internal time limits so if someone DOES trigger something expensive they'll get an error. I can allow users to disable the feature with a config setting, or increase the time limit if they need to. Downgrading this from a medium to a small since it's much less effort to enable the existing pagination method for this type of query. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Stream all results for arbitrary SQL and canned queries 459882902 | |
505162238 | https://github.com/simonw/datasette/issues/526#issuecomment-505162238 | https://api.github.com/repos/simonw/datasette/issues/526 | MDEyOklzc3VlQ29tbWVudDUwNTE2MjIzOA== | simonw 9599 | 2019-06-24T20:14:51Z | 2019-06-24T20:14:51Z | OWNER | The other reason I didn't implement this in the first place is that adding offset/limit to a custom query (as opposed to a view) requires modifying the existing SQL - what if that SQL already has its own offset/limit clause? It looks like I can solve that using a nested query: ```sql select * from ( select * from compound_three_primary_keys limit 1000 ) limit 10 offset 100 ``` https://latest.datasette.io/fixtures?sql=select+*+from+%28%0D%0A++select+*+from+compound_three_primary_keys+limit+1000%0D%0A%29+limit+10+offset+100 So I can wrap any user-provided SQL query in an outer offset/limit and implement pagination that way. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Stream all results for arbitrary SQL and canned queries 459882902 | |
810943882 | https://github.com/simonw/datasette/issues/526#issuecomment-810943882 | https://api.github.com/repos/simonw/datasette/issues/526 | MDEyOklzc3VlQ29tbWVudDgxMDk0Mzg4Mg== | jokull 701 | 2021-03-31T10:03:55Z | 2021-03-31T10:03:55Z | NONE | +1 on using nested queries to achieve this! Would be great as streaming CSV is an amazing feature. Some UX/DX details: I was expecting it to work to simply add `&_stream=on` to custom SQL queries because the docs say > Any Datasette table, view or **custom SQL query** can be exported as CSV. After a bit of testing back and forth I realized streaming only works for full tables. Would love this feature because I'm using `pandas.read_csv` to paint graphs from custom queries and the graphs are cut off because of the 1000 row limit. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Stream all results for arbitrary SQL and canned queries 459882902 | |
853567413 | https://github.com/simonw/datasette/issues/526#issuecomment-853567413 | https://api.github.com/repos/simonw/datasette/issues/526 | MDEyOklzc3VlQ29tbWVudDg1MzU2NzQxMw== | simonw 9599 | 2021-06-03T05:11:27Z | 2021-06-03T05:11:27Z | OWNER | Another potential way to implement this would be to hold the SQLite connection open and execute the full query there. I've avoided this in the past due to concerns of resource exhaustion - if multiple requests attempt this at the same time all of the connections in the pool will become tied up and the site will be unable to respond to further requests. But... now that Datasette has authentication there's the possibility of making this feature only available to specific authenticated users - the `--root` user for example. Which avoids the danger while unlocking a super-useful feature. Not to mention people who are running Datasette privately on their own laptop, or the proposed `--query` CLI feature in #1356. | {"total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Stream all results for arbitrary SQL and canned queries 459882902 | |
992971072 | https://github.com/simonw/datasette/issues/526#issuecomment-992971072 | https://api.github.com/repos/simonw/datasette/issues/526 | IC_kwDOBm6k_c47L4lA | fgregg 536941 | 2021-12-13T22:29:34Z | 2021-12-13T22:29:34Z | CONTRIBUTOR | just came by to open this issue. would make my data analysis in observable a lot better! | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Stream all results for arbitrary SQL and canned queries 459882902 | |
993078038 | https://github.com/simonw/datasette/issues/526#issuecomment-993078038 | https://api.github.com/repos/simonw/datasette/issues/526 | IC_kwDOBm6k_c47MSsW | fgregg 536941 | 2021-12-14T01:46:52Z | 2021-12-14T01:46:52Z | CONTRIBUTOR | the nested query idea is very nice, and i stole if for [my client side paginator](https://observablehq.com/d/1d5da3a3c3f2f347#DatasetteClient). However, it won't do the right thing if the original query orders by random(). If you go the nested query route, maybe raise a 4XX status code if the query has such a clause? | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Stream all results for arbitrary SQL and canned queries 459882902 | |
1074019047 | https://github.com/simonw/datasette/issues/526#issuecomment-1074019047 | https://api.github.com/repos/simonw/datasette/issues/526 | IC_kwDOBm6k_c5ABDrn | simonw 9599 | 2022-03-21T15:09:56Z | 2022-03-21T15:09:56Z | OWNER | I should research how much overhead creating a new connection costs - it may be that an easy way to solve this is to create A dedicated connection for the query and then close that connection at the end. | {"total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Stream all results for arbitrary SQL and canned queries 459882902 | |
1254064260 | https://github.com/simonw/datasette/issues/526#issuecomment-1254064260 | https://api.github.com/repos/simonw/datasette/issues/526 | IC_kwDOBm6k_c5Kv4CE | fgregg 536941 | 2022-09-21T18:17:04Z | 2022-09-21T18:18:01Z | CONTRIBUTOR | hi @simonw, this is becoming more of a bother for my [labor data warehouse](https://labordata.bunkum.us/). Is there any research or a spike i could do that would help you investigate this issue? | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Stream all results for arbitrary SQL and canned queries 459882902 | |
1258167564 | https://github.com/simonw/datasette/issues/526#issuecomment-1258167564 | https://api.github.com/repos/simonw/datasette/issues/526 | IC_kwDOBm6k_c5K_h0M | fgregg 536941 | 2022-09-26T14:57:44Z | 2022-09-26T15:08:36Z | CONTRIBUTOR | reading the database execute method i have a few questions. https://github.com/simonw/datasette/blob/cb1e093fd361b758120aefc1a444df02462389a3/datasette/database.py#L229-L242 --- unless i'm missing something (which is very likely!!), the `max_returned_rows` argument doesn't actually offer any protections against running very expensive queries. It's not like adding a `LIMIT max_rows` argument. it make sense that it isn't because, the query could already have an `LIMIT` argument. Doing something like `select * from (query) limit {max_returned_rows}` **might** be protective but wouldn't always. Instead the code executes the full original query, and if still has time it fetches out the first `max_rows + 1` rows. this *does* offer some protection of memory exhaustion, as you won't hydrate a huge result set into python (however, there are [data flow patterns](https://github.com/simonw/datasette/issues/1727#issuecomment-1258129113) that could avoid that too) given the current architecture, i don't see how creating a new connection would be use? --- If we just removed the `max_return_rows` limitation, then i think most things would be fine **except** for the QueryViews. Right now rendering, just [5000 rows takes a lot of client-side memory](https://github.com/simonw/datasette/issues/1655) so some form of pagination would be required. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Stream all results for arbitrary SQL and canned queries 459882902 | |
1258337011 | https://github.com/simonw/datasette/issues/526#issuecomment-1258337011 | https://api.github.com/repos/simonw/datasette/issues/526 | IC_kwDOBm6k_c5LALLz | fgregg 536941 | 2022-09-26T16:49:48Z | 2022-09-26T16:49:48Z | CONTRIBUTOR | i think the smallest change that gets close to what i want is to change the behavior so that `max_returned_rows` is not applied in the `execute` method when we are are asking for a csv of query. there are some infelicities for that approach, but i'll make a PR to make it easier to discuss. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Stream all results for arbitrary SQL and canned queries 459882902 | |
1258846992 | https://github.com/simonw/datasette/issues/526#issuecomment-1258846992 | https://api.github.com/repos/simonw/datasette/issues/526 | IC_kwDOBm6k_c5LCHsQ | simonw 9599 | 2022-09-27T01:21:41Z | 2022-09-27T01:21:41Z | OWNER | My main concern here is that public Datasette instances could easily have all of their available database connections consumed by long-running queries - either accidentally or deliberately. I do totally understand the need for this feature though. I think it can absolutely make sense provided it's protected by authentication and permissions. Maybe even limit the number of concurrent downloads at once such that there's always at least one database connection free for other requests. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Stream all results for arbitrary SQL and canned queries 459882902 | |
1258849766 | https://github.com/simonw/datasette/issues/526#issuecomment-1258849766 | https://api.github.com/repos/simonw/datasette/issues/526 | IC_kwDOBm6k_c5LCIXm | fgregg 536941 | 2022-09-27T01:27:03Z | 2022-09-27T01:27:03Z | CONTRIBUTOR | i agree with that concern! but if i'm understanding the code correctly, `maximum_returned_rows` does not protect against long-running queries in any way. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Stream all results for arbitrary SQL and canned queries 459882902 | |
1258860845 | https://github.com/simonw/datasette/issues/526#issuecomment-1258860845 | https://api.github.com/repos/simonw/datasette/issues/526 | IC_kwDOBm6k_c5LCLEt | simonw 9599 | 2022-09-27T01:48:31Z | 2022-09-27T01:50:01Z | OWNER | The protection is supposed to be from this line: ```python rows = cursor.fetchmany(max_returned_rows + 1) ``` By capping the call to `.fetchman()` at `max_returned_rows + 1` (the `+ 1` is to allow detection of whether or not there is a next page) I'm ensuring that Datasette never attempts to iterate over a huge result set. SQLite and the `sqlite3` library seem to handle this correctly. Here's an example: ```pycon >>> import sqlite3 >>> conn = sqlite3.connect(":memory:") >>> cursor = conn.execute(""" ... with recursive counter(x) as ( ... select 0 ... union ... select x + 1 from counter ... ) ... select * from counter""") >>> cursor.fetchmany(10) [(0,), (1,), (2,), (3,), (4,), (5,), (6,), (7,), (8,), (9,), (10,)] ``` `counter` there is an infinitely long table ([see TIL](https://til.simonwillison.net/sqlite/simple-recursive-cte)) - but we can retrieve the first 10 results without going into an infinite loop. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Stream all results for arbitrary SQL and canned queries 459882902 | |
1258864140 | https://github.com/simonw/datasette/issues/526#issuecomment-1258864140 | https://api.github.com/repos/simonw/datasette/issues/526 | IC_kwDOBm6k_c5LCL4M | simonw 9599 | 2022-09-27T01:55:32Z | 2022-09-27T01:55:32Z | OWNER | That recursive query is a great example of the kind of thing having a maximum row limit protects against. Imagine if Datasette CSVs did allow unlimited retrievals. Someone could hit the CSV endpoint for that recursive query and tie up Datasette's SQL connection effectively forever. Even if this feature becomes a permission-guarded thing we still need to take that case into account. At the very least it would be good if the query could be cancelled if the client disconnects - so if someone accidentally starts an infinite query they can cancel the request and free up the server resources. It might be a good idea to implement a page that shows "currently running" queries and allows users with the right permission to terminate them from that page. Another option: a "limit of last resource" - either a very high row limit (10,000,000 perhaps) or even a time limit, saying that all queries will be cancelled if they take longer than thirty minutes or similar. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Stream all results for arbitrary SQL and canned queries 459882902 | |
1258871525 | https://github.com/simonw/datasette/issues/526#issuecomment-1258871525 | https://api.github.com/repos/simonw/datasette/issues/526 | IC_kwDOBm6k_c5LCNrl | fgregg 536941 | 2022-09-27T02:09:32Z | 2022-09-27T02:14:53Z | CONTRIBUTOR | thanks @simonw, i learned something i didn't know about sqlite's execution model! > Imagine if Datasette CSVs did allow unlimited retrievals. Someone could hit the CSV endpoint for that recursive query and tie up Datasette's SQL connection effectively forever. why wouldn't the `sqlite_timelimit` guard prevent that? --- on my local version which has the code to [turn off truncations for query csv](#1820), `sqlite_timelimit` does protect me. ![Screenshot 2022-09-26 at 22-14-31 Error 500](https://user-images.githubusercontent.com/536941/192415680-94b32b7f-868f-4b89-8194-5752d45f6009.png) | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Stream all results for arbitrary SQL and canned queries 459882902 | |
1258878311 | https://github.com/simonw/datasette/issues/526#issuecomment-1258878311 | https://api.github.com/repos/simonw/datasette/issues/526 | IC_kwDOBm6k_c5LCPVn | fgregg 536941 | 2022-09-27T02:19:48Z | 2022-09-27T02:19:48Z | CONTRIBUTOR | this sql query doesn't trip up `maximum_returned_rows` but does timeout ```sql with recursive counter(x) as ( select 0 union select x + 1 from counter ) select * from counter LIMIT 10 OFFSET 100000000 ``` | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Stream all results for arbitrary SQL and canned queries 459882902 | |
1258905781 | https://github.com/simonw/datasette/issues/526#issuecomment-1258905781 | https://api.github.com/repos/simonw/datasette/issues/526 | IC_kwDOBm6k_c5LCWC1 | simonw 9599 | 2022-09-27T03:03:35Z | 2022-09-27T03:03:47Z | OWNER | Yes good point, the time limit does already protect against that. I've been contemplating a permissioned-users-only relaxation of that time limit too, and I got that idea mixed up with this one in my head. On that basis maybe this feature would be safe after all? Would need to do some testing, but it may be that the existing time limit provides enough protection here already. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Stream all results for arbitrary SQL and canned queries 459882902 | |
1258906440 | https://github.com/simonw/datasette/issues/526#issuecomment-1258906440 | https://api.github.com/repos/simonw/datasette/issues/526 | IC_kwDOBm6k_c5LCWNI | simonw 9599 | 2022-09-27T03:04:37Z | 2022-09-27T03:04:37Z | OWNER | It would be really neat if we could explore this idea in a plugin, but I don't think Datasette has plugin hooks in the right place for that at the moment. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Stream all results for arbitrary SQL and canned queries 459882902 | |
1258910228 | https://github.com/simonw/datasette/issues/526#issuecomment-1258910228 | https://api.github.com/repos/simonw/datasette/issues/526 | IC_kwDOBm6k_c5LCXIU | fgregg 536941 | 2022-09-27T03:11:07Z | 2022-09-27T03:11:07Z | CONTRIBUTOR | i think this feature would be safe, as its really only the time limit that can, and imo, should protect against long running queries, as it is pretty easy to make very expensive queries that don't return many rows. moving away from `max_returned_rows` will requires some thinking about: 1. memory usage and data flows to handle potentially very large result sets 2. how to avoid rendering tens or hundreds of thousands of [html rows](#1655). | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Stream all results for arbitrary SQL and canned queries 459882902 | |
1259693536 | https://github.com/simonw/datasette/issues/526#issuecomment-1259693536 | https://api.github.com/repos/simonw/datasette/issues/526 | IC_kwDOBm6k_c5LFWXg | simonw 9599 | 2022-09-27T15:42:55Z | 2022-09-27T15:42:55Z | OWNER | It's interesting to note WHY the time limit works against this so well. The time limit as-implemented looks like this: https://github.com/simonw/datasette/blob/5f9f567acbc58c9fcd88af440e68034510fb5d2b/datasette/utils/__init__.py#L181-L201 The key here is `conn.set_progress_handler(handler, n)` - which specifies that the handler function should be called every `n` SQLite operations. The handler function then checks to see if too much time has transpired and conditionally cancels the query. This also doubles up as a "maximum number of operations" guard, which is what's happening when you attempt to fetch an infinite number of rows from an infinite table. That limit code could even be extended to say "exit the query after either 5s or 50,000,000 operations". I don't think that's necessary though. To be honest I'm having trouble with the idea of dropping `max_returned_rows` mainly because what Datasette does (allow arbitrary untrusted SQL queries) is dangerous, so I've designed in multiple redundant defence-in-depth mechanisms right from the start. | {"total_count": 1, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 1, "rocket": 0, "eyes": 0} | Stream all results for arbitrary SQL and canned queries 459882902 | |
1259718517 | https://github.com/simonw/datasette/issues/526#issuecomment-1259718517 | https://api.github.com/repos/simonw/datasette/issues/526 | IC_kwDOBm6k_c5LFcd1 | fgregg 536941 | 2022-09-27T16:02:51Z | 2022-09-27T16:04:46Z | CONTRIBUTOR | i think that `max_returned_rows` **is** a defense mechanism, just not for connection exhaustion. `max_returned_rows` is a defense mechanism against **memory bombs**. if you are potentially yielding out hundreds of thousands or even millions of rows, you need to be quite careful about data flow to not run out of memory on the server, or on the client. you have a lot of places in your code that are protective of that right now, but `max_returned_rows` acts as the final backstop. so, given that, it makes sense to have removing `max_returned_rows` altogether be a non-goal, but instead allow for for specific codepaths (like streaming csv's) be able to bypass. that could dramatically lower the surface area for a memory-bomb attack. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Stream all results for arbitrary SQL and canned queries 459882902 | |
1260355224 | https://github.com/simonw/datasette/issues/526#issuecomment-1260355224 | https://api.github.com/repos/simonw/datasette/issues/526 | IC_kwDOBm6k_c5LH36Y | simonw 9599 | 2022-09-28T04:01:25Z | 2022-09-28T04:01:25Z | OWNER | The ultimate protection against those memory bombs is to support more streaming output formats. Related issues: - #1177 - #1062 | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Stream all results for arbitrary SQL and canned queries 459882902 |
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