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Updating links to point to quickwit-oss (#1113)
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CONTRIBUTING.md

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bug reports, feature request, and evangelizing are as valuable.
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# Submitting a PR
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Check if your issue is already listed [github](https://github.com/quickwit-inc/quickwit/issues).
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Check if your issue is already listed [github](https://github.com/quickwit-oss/quickwit/issues).
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If it is not, create your own issue.
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Please add the following phrase at the end of your commit. `Closes #<Issue Number>`.
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Contributors are required to sign a Contributor License Agreement.
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The process is simple and fast. Upon your first pull request, you will be prompted to
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[sign our CLA by visiting this link](https://cla-assistant.io/quickwit-inc/quickwit).
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[sign our CLA by visiting this link](https://cla-assistant.io/quickwit-oss/quickwit).
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# Development
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## Setup & run tests

Cargo.lock

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Makefile

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docker push quickwit/cross:$$tag; \
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done
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# TODO: to be replaced by https://github.com/quickwit-inc/quickwit/issues/237
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# TODO: to be replaced by https://github.com/quickwit-oss/quickwit/issues/237
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TARGET ?= x86_64-unknown-linux-gnu
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.PHONY: build
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build:

Quickwit_individual_CLA.md

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Thank you for your interest in contributing to Quickwit ("We" or "Us").
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This contributor agreement ("Agreement") documents the rights granted by contributors to Us. To make this document effective, please sign it and send it to Us by electronic submission, following the instructions at https://cla-assistant.io/quickwit-inc/quickwit. This is a legally binding document, so please read it carefully before agreeing to it. The Agreement may cover more than one software project managed by Us.
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This contributor agreement ("Agreement") documents the rights granted by contributors to Us. To make this document effective, please sign it and send it to Us by electronic submission, following the instructions at https://cla-assistant.io/quickwit-oss/quickwit. This is a legally binding document, so please read it carefully before agreeing to it. The Agreement may cover more than one software project managed by Us.
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## 1. Definitions

README.md

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[![codecov](https://codecov.io/gh/quickwit-inc/quickwit/branch/main/graph/badge.svg?token=06SRGAV5SS)](https://codecov.io/gh/quickwit-inc/quickwit)
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[![codecov](https://codecov.io/gh/quickwit-oss/quickwit/branch/main/graph/badge.svg?token=06SRGAV5SS)](https://codecov.io/gh/quickwit-oss/quickwit)
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[![Contributor Covenant](https://img.shields.io/badge/Contributor%20Covenant-2.0-4baaaa.svg)](CODE_OF_CONDUCT.md)
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[![License: AGPL V3](https://img.shields.io/badge/license-AGPL%20V3-blue)](LICENCE.md)
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[![Join the discord chat](https://shields.io/discord/908281611840282624?label=chat%20on%20discord)](https://discord.gg/rpRRTezWhW)
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Quickwit is a distributed search engine built from the ground up to offer cost-efficiency and high reliability. By mere mortals for mere mortals, Quickwit's architecture is as simple as possible <sup>[1](#footnote1)</sup>.
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Quickwit is written in Rust and built on top of the mighty [tantivy](https://github.com/quickwit-inc/tantivy) library. We designed it to index large datasets.
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Quickwit is written in Rust and built on top of the mighty [tantivy](https://github.com/quickwit-oss/tantivy) library. We designed it to index large datasets.
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## Why Quickwit?
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docs/design/architecture.md

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### Distributed message queues
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Quickwit indexers connect directly to external message queues like Kafka and guarantee the exactly-once semantics. If you need support for other distributed queues, please vote for yours [here](https://github.com/quickwit-inc/quickwit/issues/1000).
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Quickwit indexers connect directly to external message queues like Kafka and guarantee the exactly-once semantics. If you need support for other distributed queues, please vote for yours [here](https://github.com/quickwit-oss/quickwit/issues/1000).
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## Architecture diagram
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docs/get-started/installation.md

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## Download
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Version: 0.2.0 - [Release note](https://github.com/quickwit-inc/quickwit/releases/tag/v0.2.0)
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License: [AGPL V3](https://github.com/quickwit-inc/quickwit/blob/main/LICENSE.md)
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Version: 0.2.0 - [Release note](https://github.com/quickwit-oss/quickwit/releases/tag/v0.2.0)
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License: [AGPL V3](https://github.com/quickwit-oss/quickwit/blob/main/LICENSE.md)
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Downloads `.tar.gz`:
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- [Linux ARM64](https://github.com/quickwit-inc/quickwit/releases/download/v0.2.0/quickwit-v0.2.0-aarch64-unknown-linux-gnu.tar.gz)
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- [Linux ARM64 (static build)](https://github.com/quickwit-inc/quickwit/releases/download/v0.2.0/quickwit-v0.2.0-aarch64-unknown-linux-musl.tar.gz)
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- [Linux x86_64](https://github.com/quickwit-inc/quickwit/releases/download/v0.2.0/quickwit-v0.2.0-x86_64-unknown-linux-gnu.tar.gz)
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- [Linux x86_64 (static build)](https://github.com/quickwit-inc/quickwit/releases/download/v0.2.0/quickwit-v0.2.0-x86_64-unknown-linux-musl.tar.gz)
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- [macOS x86_64](https://github.com/quickwit-inc/quickwit/releases/download/v0.2.0/quickwit-v0.2.0-x86_64-apple-darwin.tar.gz)
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- [Linux ARM64](https://github.com/quickwit-oss/quickwit/releases/download/v0.2.0/quickwit-v0.2.0-aarch64-unknown-linux-gnu.tar.gz)
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- [Linux ARM64 (static build)](https://github.com/quickwit-oss/quickwit/releases/download/v0.2.0/quickwit-v0.2.0-aarch64-unknown-linux-musl.tar.gz)
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- [Linux x86_64](https://github.com/quickwit-oss/quickwit/releases/download/v0.2.0/quickwit-v0.2.0-x86_64-unknown-linux-gnu.tar.gz)
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- [Linux x86_64 (static build)](https://github.com/quickwit-oss/quickwit/releases/download/v0.2.0/quickwit-v0.2.0-x86_64-unknown-linux-musl.tar.gz)
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- [macOS x86_64](https://github.com/quickwit-oss/quickwit/releases/download/v0.2.0/quickwit-v0.2.0-x86_64-apple-darwin.tar.gz)
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Checkout all builds on [github](https://github.com/quickwit-inc/quickwit/releases)
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Checkout all builds on [github](https://github.com/quickwit-oss/quickwit/releases)
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### Note on external dependencies
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curl -L https://install.quickwit.io | sh
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All this script does is download the correct binary archive for your machine and extract it in the current working directory. This means you can download any desired archive from [github](https://github.com/quickwit-inc/quickwit/releases) that match your OS architecture and manually extract it anywhere.
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All this script does is download the correct binary archive for your machine and extract it in the current working directory. This means you can download any desired archive from [github](https://github.com/quickwit-oss/quickwit/releases) that match your OS architecture and manually extract it anywhere.
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Once installed or extracted, all Quickwit's installation files can be found in a directory named `quickwit-{version}` where `version` is the corresponding version of Quickwit. This directory has the following layout:
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# download wikipedia dataset files
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curl -o wikipedia_index_config.yaml https://raw.githubusercontent.com/quickwit-inc/quickwit/main/config/tutorials/wikipedia/index-config.yaml
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curl -o wikipedia_index_config.yaml https://raw.githubusercontent.com/quickwit-oss/quickwit/main/config/tutorials/wikipedia/index-config.yaml
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# create, index and search using the container

docs/get-started/quickstart.md

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```bash
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# First, download the Wikipedia config from Quickwit repository.
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curl -o wikipedia_index_config.yaml https://raw.githubusercontent.com/quickwit-inc/quickwit/main/config/tutorials/wikipedia/index-config.yaml
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curl -o wikipedia_index_config.yaml https://raw.githubusercontent.com/quickwit-oss/quickwit/main/config/tutorials/wikipedia/index-config.yaml
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The index config defines three text fields: `title`, `body` and `url`. It also sets two default search fields `body` and `title`. These fields will be used for search if you do not target a specific field in your query. Please note that by default, text fields are [indexed and tokenized](../reference/index-config.md).
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Run the following command from within Quickwit's installation directory.
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```bash
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curl -o wikipedia_index_config.yaml https://raw.githubusercontent.com/quickwit-inc/quickwit/main/config/tutorials/wikipedia/index-config.yaml
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curl -o wikipedia_index_config.yaml https://raw.githubusercontent.com/quickwit-oss/quickwit/main/config/tutorials/wikipedia/index-config.yaml
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curl -o wiki-articles-10000.json https://quickwit-datasets-public.s3.amazonaws.com/wiki-articles-10000.json

docs/guides/add-full-text-search-to-your-olap-db.md

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```bash
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curl -o gh-archive-index-config.yaml https://raw.githubusercontent.com/quickwit-oss/quickwit/main/config/tutorials/gh-archive/index-config.yaml
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docs/guides/tutorial-hdfs-logs-distributed-search-aws-s3.md

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```bash
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curl -o hdfs_logs_index_config.yaml https://raw.githubusercontent.com/quickwit-oss/quickwit/main/config/tutorials/hdfs-logs/index-config.yaml
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The index config defines five fields: `timestamp`, `tenant_id`, `severity_text`, `body`, and one object field

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