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Dev tools · October 1, 2017

WR

Www.rlog.io query high volume of flat files using SQL or web API

Www.rlog.io query high volume of flat files using SQL or web API launched on October 1, 2017 with 6 votes, #1,370 of 3,169 launches that month and more than 50% of that year's launches.

Does a similar job

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    I built qlog because I got tired of waiting for grep to search through gigabytes of logs. qlog uses an inverted index (like search engines) to search millions of log lines in milliseconds. It's 10-100x faster than grep and way simpler than setting up Elasticsearch. Features: - Lightning fast indexing (1M+ lines/sec using mmap) - Sub-millisecond searches on indexed data - Beautiful terminal output with context lines - Auto-detects JSON, syslog, nginx, apache formats - Zero configuration - Works offline - Pure Python Example: qlog index './logs/*/*.log' qlog search "error"…

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    Directly query 100M+ raw records of cleaned, refreshed financial data2022 · wizdata.io · ▲8

    There are a lot of APIs that provide access to these types of data, but there were not any (as far as we're aware of) tools & services that provide access to query the raw data directly for analytical purposes. We get the data across different sources and clean, schematize them in a PostgreSQL databases so folks can query/analyze the data directly. We have ~100 tables of data across stocks, ETFs, economic indicators, US/international census data and plan to keep adding more. More information on the tables are available at https://docs.wizdata.io Access to all of the data…

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