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zX41ZdbW
searching PlanetScale…
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38 ms
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571.
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zX41ZdbW
4y ago
I briefly checked the dataset and I could not find the rank column. For example, the top 1000 URLs .txt file contains only the URLs itself, and it's not possible to check which is more popular: https://www.google.com or ht
572.
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zX41ZdbW
4y ago
Most of the time is spent in decompression - the source dataset used to have files in .bz2, which is the main contributor to total time. The dataset itself is just around 10 billion records.
573.
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zX41ZdbW
4y ago
Two SSDs on AWS machine only give 3800 MB/sec :(
574.
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zX41ZdbW
4y ago
In ClickHouse, querying Google Sheets works out of the box, no plugins required: select * from url('https://docs.google.com/spreadsheets/d/1XGCy0tYU5YcEouO09_ErZIyqjA-VJ4pidLZmMmJkEdk/gviz/tq?tq
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zX41ZdbW
4y ago
> ClickHouse, for example, claims insert throughput performance of 50-200 MB/s and up to 1M+ rows per second in common use cases This is what I've written in my docs in 2016 :) Today you can easily get 50 million inserted recor
576.
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zX41ZdbW
4y ago
Is HN written in (Common (Lisp? Then it can start using (ClickHouse)))
577.
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zX41ZdbW
4y ago
We provide .deb, .rpm, .tgz, Docker, or single-binary, for x86-64, AArch64, for Linux, Mac and FreeBSD.
578.
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zX41ZdbW
4y ago
https://clickhouse.com/docs/en/install/#available-installati...
579.
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zX41ZdbW
4y ago
How does it look from command-line for streaming processing of CSV/TSV?
580.
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zX41ZdbW
4y ago
I recommend using clickhouse-local[1] for these tasks. It does SQL; it supports all imaginable data formats, streaming processing, and connecting to external data sources. It also outperforms every other tool[2]. [1] https://clic
581.
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zX41ZdbW
4y ago
The order should be as follows: - automated testing; - -Wall -Wextra, and -Weverything with some exceptions; - address, memory, thread, and undefined sanitizers; - fuzzing (at least some sort of), coverage-guided fuzzing with sanitizers; -
582.
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zX41ZdbW
4y ago
I'm using the same algorithm to color logs in ClickHouse: https://github.com/ClickHouse/ClickHouse/blob/82a6d75050513b... It also ignores Gamma, but at least it is described in the comments in the code.
583.
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zX41ZdbW
4y ago
This will save your time: https://play.clickhouse.com/play?user=play#U0VMRUNUIHRvcExld... Takeaways: - .org is 50% better than .com; - .edu and .gov are really nice; - .io is cool, and much better than .uk; PS. I don't
584.
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zX41ZdbW
4y ago
Just in case, Tinybird is built on top of ClickHouse. If you look deep enough into any analytics service, you'll find ClickHouse inside.
585.
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zX41ZdbW
4y ago
If you need to anonymize a dataset (structured, possibly linked tables), I recommend clickhouse-obfuscator - a tool designed specifically for this purpose: https://clickhouse.com/blog/five-methods-of-database-obfusca...
586.
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zX41ZdbW
4y ago
At least 1% of tweets are archived on Internet Archive. https://github.com/ClickHouse/ClickHouse/issues/46145
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zX41ZdbW
4y ago
Interesting to compare the SWAR approach with 64-bit register, a similar approach with 128-bit register (SSE-2), and string search instructions (SSE-4.2). This implementation in ClickHouse can be used as a reference: https://gith
588.
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zX41ZdbW
4y ago
Let's check it with the OpenCellID dataset in ClickHouse: https://clickhouse.com/docs/en/getting-started/example-datas... Example: https://twitter.com/ClickHouseDB/status/160896
589.
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zX41ZdbW
4y ago
It sounds like CommonCrawl: https://commoncrawl.org/the-data/get-started/ You can download it, put it into ClickHouse, and get your own professional search engine. I've made up the term "professional sea
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zX41ZdbW
4y ago
https://sql.clickhouse.com/play?user=play#U0VMRUNUIHRvU3Rhcn...
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zX41ZdbW
4y ago
The number of comments per month continues to grow linearly, while the number of stories remains roughly constant for several years: https://sql.clickhouse.com/play?user=play#U0VMRUNUIHRvU3Rhcn...
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zX41ZdbW
4y ago
What is the difference between Apache Doris, SelectDB and Starrocks? All of them pick the code from ClickHouse and take roots in Baidu PALO.
593.
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zX41ZdbW
4y ago
I've recently presented a talk about making a real-time dashboard on top of Wikipedia pageviews (0.5 trillion records) with a single machine, <2 bytes per record, and zero amount of sophistication: https://www.youtube.com
594.
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zX41ZdbW
4y ago
Sorry, but it does not work for 1.5 years already. Every time I check it does not work.
595.
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zX41ZdbW
4y ago
You don't have to give up clean code to achieve high performance. The complexity can be isolated and contained. For example, take a look at ClickHouse codebase: https://github.com/ClickHouse/ClickHouse/ There
596.
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zX41ZdbW
4y ago
When I tested BigQuery for ClickBench, the minimum query latency was 0.5 seconds. However, there is some feature for better query latency (need to check). Note: BigQuery has a "De-Witt" clause[2] that prevents publishing the bench
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ClickHouse to Serve Real-Time Queries on Top of BigQuery Data
(clickhouse.com)
25 points
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zX41ZdbW
4y ago
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3 comments
598.
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zX41ZdbW
4y ago
The demo does not work at all: https://github.com/questdb/questdb/issues/1525
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zX41ZdbW
4y ago
Case 1. It blocks my SQL playground due to SQL injections: https://play.clickhouse.com/play?user=play - solution: disable WAF. Case 2: It damages my presentations by removing whitespaces in HTML elements styled as "whi
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zX41ZdbW
4y ago
The website does not open at this moment in time: https://downforeveryoneorjustme.com/exple.tive.org?proto=htt... About the topic: I always install pv, jq, dstat, perf, mc, rg, and clickhouse.
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