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Copy file name to clipboardExpand all lines: docs/install/command-line.md
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---
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title: Kubo
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description: Using IPFS Kubo through the command-line allows you to do everything that IPFS Desktop can do, but at a more granular level, since you can specify which commands to run. Learn how to install it here.
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current-ipfs-version: v0.32.0
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current-ipfs-version: v0.32.1
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---
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# Install IPFS Kubo
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Note the following:
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- The amount of disk space your IPFS installation uses depends on how much data you're sharing. A base installation uses around 12MB of disk space.
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- You can enable automatic garbage collection via [--enable-gc](../reference/kubo/cli.md#ipfs-daemon) and adjust using [default maximum disk storage](https://github.com/ipfs/kubo/blob/v0.32.0/docs/config.md#datastorestoragemax) for data retrieved from other peers.
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- You can enable automatic garbage collection via [--enable-gc](../reference/kubo/cli.md#ipfs-daemon) and adjust using [default maximum disk storage](https://github.com/ipfs/kubo/blob/v0.32.1/docs/config.md#datastorestoragemax) for data retrieved from other peers.
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<!-- TODO: hide this footgun until https://github.com/ipfs/kubo/pull/10524 is merged and released in stable kubo
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1. Download the Windows binary from [`dist.ipfs.tech`](https://dist.ipfs.tech/#kubo).
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```bash
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ipfs --version
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> ipfs version 0.32.0
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> ipfs version 0.32.1
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```
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:::
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## Build Kubo from source
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For the current instructions on how to manually download, compile and build Kubo from source, see the [Build from Source](https://github.com/ipfs/kubo/blob/v0.32.0/README.md#build-from-source) section in the Kubo repository.
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For the current instructions on how to manually download, compile and build Kubo from source, see the [Build from Source](https://github.com/ipfs/kubo/blob/v0.32.1/README.md#build-from-source) section in the Kubo repository.
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## Determining which node to use with the command line
Copy file name to clipboardExpand all lines: docs/reference/kubo/cli.md
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# Kubo command-line
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::: tip Generated on 2024-11-14 02:07:48, from kubo 0.32.0
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This document was autogenerated from CLI help text in [kubo 0.32.0](https://github.com/ipfs/kubo/releases/tag/v0.32.0)
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::: tip Generated on 2024-11-26 17:36:12, from kubo 0.32.1
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This document was autogenerated from CLI help text in [kubo 0.32.1](https://github.com/ipfs/kubo/releases/tag/v0.32.1)
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For issues and support, check out the [generate-cli-docs.sh](https://github.com/ipfs/ipfs-docs/blob/main/docs/reference/kubo/generate-cli-docs.sh) script on GitHub.
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DESCRIPTION
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Available profiles:
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'test':
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Reduces external interference of IPFS daemon, this
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is useful when using the daemon in test environments.
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'announce-off':
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Disables Reprovide system (and announcing to Amino DHT).
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USE WITH CAUTION:
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The main use case for this is setups with manual Peering.Peers config.
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Data from this node will not be announced on the DHT. This will make
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DHT-based routing an data retrieval impossible if this node is the only
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one hosting it, and other peers are not already connected to it.
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'default-datastore':
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Configures the node to use the default datastore (flatfs).
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Read the "flatfs" profile description for more information on this datastore.
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This profile may only be applied when first initializing the node.
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'badgerds':
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Configures the node to use the legacy badgerv1 datastore.
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'pebbleds':
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Configures the node to use the pebble high-performance datastore.
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NOTE: this is badger 1.x, which has known bugs and is no longer supported by the upstream team.
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It is provided here only for pre-existing users, allowing them to migrate away to more modern datastore.
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Pebble is a LevelDB/RocksDB inspired key-value store focused on performance
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and internal usage by CockroachDB.
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You should use this datastore if:
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Other caveats:
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- You need a datastore that is focused on performance.
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- You need reliability by default, but may choose to disable WAL for maximum performance when reliability is not critical.
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- This datastore is good for multi-terabyte data sets.
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- May benefit from tuning depending on read/write patterns and throughput.
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- Performance is helped significantly by running on a system with plenty of memory.
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* This datastore will not properly reclaim space when your datastore is
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smaller than several gigabytes. If you run IPFS with --enable-gc, you plan
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on storing very little data in your IPFS node, and disk usage is more
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critical than performance, consider using flatfs.
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* This datastore uses up to several gigabytes of memory.
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* Good for medium-size datastores, but may run into performance issues
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