Robot | Path | Permission |
GoogleBot | / | ✔ |
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Title | PRQL |
Description | PRQL Book Playground Roadmap Posts FAQ Star P ipelined R elational Q uery L anguage, pronounced “Prequel” PRQL is a modern language for transforming data |
Keywords | [] |
WebSite | prql-lang.org |
Host IP | 185.199.111.153 |
Location | - |
Site | Rank |
US$1,453,531
Last updated: 2023-05-18 15:42:35
prql-lang.org has Semrush global rank of 7,281,788. prql-lang.org has an estimated worth of US$ 1,453,531, based on its estimated Ads revenue. prql-lang.org receives approximately 167,716 unique visitors each day. Its web server is located in -, with IP address 185.199.111.153. According to SiteAdvisor, prql-lang.org is safe to visit. |
Purchase/Sale Value | US$1,453,531 |
Daily Ads Revenue | US$1,342 |
Monthly Ads Revenue | US$40,252 |
Yearly Ads Revenue | US$483,020 |
Daily Unique Visitors | 11,182 |
Note: All traffic and earnings values are estimates. |
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prql-lang.org. | A | 3600 | IP: 185.199.111.153 |
prql-lang.org. | A | 3600 | IP: 185.199.109.153 |
prql-lang.org. | A | 3600 | IP: 185.199.108.153 |
prql-lang.org. | A | 3600 | IP: 185.199.110.153 |
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prql-lang.org. | AAAA | 3600 | IPV6: 2606:50c0:8003::153 |
prql-lang.org. | AAAA | 3600 | IPV6: 2606:50c0:8000::153 |
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prql-lang.org. | NS | 21600 | NS Record: ns-cloud-a4.googledomains.com. |
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prql-lang.org. | NS | 21600 | NS Record: ns-cloud-a2.googledomains.com. |
prql-lang.org. | MX | 3600 | MX Record: 30 alt3.gmr-smtp-in.l.google.com. |
prql-lang.org. | MX | 3600 | MX Record: 10 alt1.gmr-smtp-in.l.google.com. |
prql-lang.org. | MX | 3600 | MX Record: 20 alt2.gmr-smtp-in.l.google.com. |
prql-lang.org. | MX | 3600 | MX Record: 5 gmr-smtp-in.l.google.com. |
prql-lang.org. | MX | 3600 | MX Record: 40 alt4.gmr-smtp-in.l.google.com. |
PRQL Book Playground Roadmap Posts FAQ Star P ipelined R elational Q uery L anguage, pronounced “Prequel” PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement from invoices filter invoice_date >= @1970-01-16 derive [ transaction_fees = 0.8, income = total - transaction_fees ] filter income > 1 group customer_id ( aggregate [ average total, sum_income = sum income, ct = count, ] ) sort [-sum_income] take 10 join c=customers [==customer_id] derive name = f"{c.last_name}, {c.first_name}" select [ c.customer_id, name, sum_income ] derive db_version = s"version()" Why PRQL? For data engineers PRQL is concise, with abstractions such as variables & functions PRQL is database agnostic, compiling to many dialects of SQL PRQL isn’t limiting — it can contain embedded SQL where necessary PRQL has bindings to most major languages (and more are in progress) PRQL allows for column lineage and type inspection (in progress) For analysts PRQL is |
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