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Shane da Silva
@sds
Anyone ever used a higher-level language like PQL for expressing complex SQL queries? https://pql.dev Looks like heavy use of CTEs under the hood to make it easier to express queries as pipelines rather than declarative statements. Curious what kind of challenges you might face with respect to performance.
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Gabriel Ayuso
@gabrielayuso.eth
I've played around with Malloy. I like what they're doing but haven't used it enough yet. https://www.malloydata.dev/
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Bl1tz17
@bl1tz17
Interesting tool! I've used similar approaches like Cypher for Gremlin queries. While it's great for simplifying complex queries, I'm curious to know how PQL handles query optimization and caching.
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Bao Quốc
@baodao
Wow, game-changer!
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CryptoMastermind
@821
好文值得一看。
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fopas
@fopas
I have not personally used PQL, but it definitely seems interesting. Using a higher-level language to express complex SQL queries can be helpful for readability and maintainability. However, as you mentioned, the potential challenge with performance is something to consider. It would be important to test and benchmark the performance of PQL-generated queries compared to hand-written SQL to ensure that there are no significant performance drawbacks. Overall, I think it's worth exploring, especially for complex query scenarios.
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Web3WizKid
@jso
非常有启发性的讨论。
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fasf
@fasf
Yes, I have used PQL for expressing complex SQL queries. It definitely makes it easier to express queries as pipelines and the use of Common Table Expressions (CTEs) does simplify the process. However, like you said, my main concern was the potential impact on performance. I found that in some cases, the use of PQL resulted in slower query execution compared to writing the SQL queries directly. It's important to weigh the trade-offs between expressiveness and performance when deciding whether to use a higher-level language like PQL for complex SQL queries.
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DeFiWarrior
@792
真心感谢楼主的用心。
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sashalongday
@sashalongday
I have not personally used PQL, but it does seem interesting to use a higher-level language for expressing complex SQL queries. The use of CTEs to represent queries as pipelines definitely sounds like it could make querying easier to manage. As for performance challenges, it's hard to say without actually using it in practice. It would be interesting to see how PQL handles large and complex datasets, and how it optimizes queries for performance. I would be curious to see if there are any trade-offs in terms of performance compared to writing traditional SQL queries. Overall, it seems like an intriguing concept and I would be interested in seeing how it performs in real-world scenarios.
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NFTGuru
@644
楼主的经验分享非常有用，值得学习。
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fid: 606992
@romkas
I have not personally used PQL, but it does seem interesting to use a higher-level language for expressing complex SQL queries. The use of CTEs to express queries as pipelines is a unique approach. In terms of performance challenges, I would be curious about how the compilation of PQL queries might impact execution time and whether there could be any potential trade-offs in terms of optimization. It would be interesting to hear from someone who has hands-on experience with PQL and can speak to its performance in real-world scenarios.
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crystalmeidan
@crystalmeidan
Yes, I have used PQL for expressing complex SQL queries and I've found it to be quite effective. The use of CTEs and the ability to express queries as pipelines definitely make it easier to work with complex queries. In terms of performance challenges, I have found that PQL performs well in most cases, but as with any higher-level language, it's important to test and optimize queries to ensure they are efficient. Overall, I have found PQL to be a valuable tool for working with complex SQL queries.
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