1/18/2024 0 Comments Android sqlite order by numbers![]() > timeit.Timer(cast_conv, setup).timeit(number = 1) > cast_affinity = "result = c.execute('SELECT * FROM T ORDER BY (value + 0)')" > cast_conv = "result = c.execute('SELECT * FROM T ORDER BY CAST(value AS INTEGER)')" ![]() _ = c.execute('INSERT INTO T (value) VALUES (%i)' % index) I was curios so I ran some benchmarks: > setup = """ An operand on a mathematical operator that does not look in any way numeric and is not NULL is converted to 0 or 0.0. A NULL operand on a mathematical operator yields a NULL result. ![]() The cast is carried through even if it is lossy and irreversible. Application of a CAST expression is different to application of a column affinity, as with a CAST expression the storage class conversion is forced even if it is lossy and irrreversible.Īll mathematical operators (+, -, *, /, %, >, &, and |) cast both operands to the NUMERIC storage class prior to being carried out. Well thats interesting, though I dont know how many DBMS support such an operation so I don't recommend it just in case you ever need to use a different system that doesn't support it, not to mention you are adding an extra operation, which can affect performance, though you also do this ORDER BY (field + 0) Im going to investigate the performanceĪ CAST expression is used to convert the value of to a different storage class in a similar way to the conversion that takes place when a column affinity is applied to a value. Is the a way to "officially" convert it like C's atoi? If I do this: ".ORDER BY (field+1)" I can workaround this, because somehow the string is internally being converted to integer. Sqlite> SELECT * FROM T ORDER BY CAST(value AS INTEGER) Sqlite> INSERT INTO T (value) VALUES ('03') Sqlite> INSERT INTO T (value) VALUES ('02') Sqlite> INSERT INTO T (value) VALUES ('01') Sqlite> INSERT INTO T (value) VALUES ('12') Sqlite> INSERT INTO T (value) VALUES ('11') Sqlite> INSERT INTO T (value) VALUES ('10') sqlite> CREATE TABLE T (value VARCHAR(2)) this code emits a file that is itself valid Kotlin codeįileOut.append("""package .dataįor (session in DroidconSessionData.You can use CAST to cast the expression to an Integer. The first step was to edit the DroidconEmbeddingsWrapper.kt file to generate a hardcoded class with all the vectors. In the GitHub repo you can check out the testing-vectors branch where I experimented with this idea. The solution I tried to improve performance and reduce cost was to hardcode the embeddings. ![]() In this post I’ll discuss my first attempt building a vector cache on-device, and then some other alternatives to consider when building production-quality apps. ![]() It is a fast and easy way to build a demo, but in a production application you would want to avoid both the startup delay and the cost! This results in ~70 web requests each time, plus the (albeit low) monetary cost of the OpenAI embeddings endpoint. Val embeddingResult = openAI.embeddings(embeddingRequest) // API request One of the ‘hacks’ I used was generating the embeddings used for similarity comparisons on every startup and caching in memory: A few weeks ago I added a custom datastore (the droidcon SF schedule) to the Jetchat OpenAI chat sample. ![]()
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