From 01130352376a863351ec4f7d6cf08002e73975d2 Mon Sep 17 00:00:00 2001 From: Harshavardhana Date: Mon, 11 May 2020 09:19:10 -0700 Subject: [PATCH] update distributed setup guide (#9566) --- docs/distributed/DESIGN.md | 2 ++ docs/distributed/README.md | 26 ++++++++++-------- docs/minio-limits.md | 7 ++--- .../Architecture-diagram_distributed_32.png | Bin 45357 -> 561102 bytes 4 files changed, 18 insertions(+), 17 deletions(-) diff --git a/docs/distributed/DESIGN.md b/docs/distributed/DESIGN.md index 8d77c33e3..7c493a6d5 100644 --- a/docs/distributed/DESIGN.md +++ b/docs/distributed/DESIGN.md @@ -46,6 +46,8 @@ Expansion of ellipses and choice of erasure sets based on this expansion is an a - *If total disks has many common divisors the algorithm chooses the minimum amounts of erasure sets possible for a erasure set size of any N*. In the example with 1024 disks - 4, 8, 16 are GCD factors. With 16 disks we get a total of 64 possible sets, with 8 disks we get a total of 128 possible sets, with 4 disks we get a total of 256 possible sets. So algorithm automatically chooses 64 sets, which is *16 * 64 = 1024* disks in total. +- *If total number of nodes are of odd number then GCD algorithm provides affinity towards odd number erasure sets to provide for uniform distribution across nodes*. This is to ensure that same number of disks are pariticipating in any erasure set. For example if you have 2 nodes with 180 drives then GCD is 15 but this would lead to uneven distribution, one of the nodes would participate more drives. To avoid this the affinity is given towards nodes which leads to next best GCD factor of 12 which provides uniform distribution. + - In this algorithm, we also make sure that we spread the disks out evenly. MinIO server expands ellipses passed as arguments. Here is a sample expansion to demonstrate the process. ``` diff --git a/docs/distributed/README.md b/docs/distributed/README.md index f645acd17..69849d74b 100644 --- a/docs/distributed/README.md +++ b/docs/distributed/README.md @@ -12,11 +12,11 @@ Distributed MinIO provides protection against multiple node/drive failures and [ ### High availability -A stand-alone MinIO server would go down if the server hosting the disks goes offline. In contrast, a distributed MinIO setup with _n_ disks will have your data safe as long as _n/2_ or more disks are online. You'll need a minimum of _(n/2 + 1)_ disks to create new objects. +A stand-alone MinIO server would go down if the server hosting the disks goes offline. In contrast, a distributed MinIO setup with _m_ servers and _n_ disks will have your data safe as long as _m/2_ servers or _m*n_/2 or more disks are online. -For example, an 16-node distributed MinIO setup with 16 disks per node would continue serving files, even if up to 8 servers are offline. But, you'll need at least 9 servers online to create new objects. +For example, an 16-server distributed setup with 200 disks per node would continue serving files, even if up to 8 servers are offline in default configuration i.e around 1600 disks can down MinIO would continue service files. But, you'll need at least 9 servers online to create new objects. -You can also use [storage classes](https://github.com/minio/minio/tree/master/docs/erasure/storage-class) to set custom data and parity distribution per object. +You can also use [storage classes](https://github.com/minio/minio/tree/master/docs/erasure/storage-class) to set custom parity distribution per object. ### Consistency Guarantees @@ -37,8 +37,8 @@ To start a distributed MinIO instance, you just need to pass drive locations as __NOTE:__ - All the nodes running distributed MinIO need to have same access key and secret key for the nodes to connect. To achieve this, it is __recommended__ to export access key and secret key as environment variables, `MINIO_ACCESS_KEY` and `MINIO_SECRET_KEY`, on all the nodes before executing MinIO server command. -- __MinIO creates erasure-coding sets of *4* to *16* drives. The number of drives you provide must be a multiple of one of those numbers.__ -- __MinIO chooses the largest EC set size which divides into the total number of drives given. For example, 8 drives will be used as a single EC set of size 8, not two sets of size 4.__ +- __MinIO creates erasure-coding sets of *4* to *16* drives per set. The number of drives you provide in total must be a multiple of one of those numbers.__ +- __MinIO chooses the largest EC set size which divides into the total number of drives or total number of nodes given - making sure to keep the uniform distribution i.e each node participates equal number of drives per set. - __Each object is written to a single EC set, and therefore is spread over no more than 16 drives.__ - __All the nodes running distributed MinIO setup are recommended to be homogeneous, i.e. same operating system, same number of disks and same network interconnects.__ - MinIO distributed mode requires __fresh directories__. If required, the drives can be shared with other applications. You can do this by using a sub-directory exclusive to MinIO. For example, if you have mounted your volume under `/export`, pass `/export/data` as arguments to MinIO server. @@ -47,19 +47,21 @@ __NOTE:__ - `MINIO_DOMAIN` environment variable should be defined and exported for bucket DNS style support. - Running Distributed MinIO on __Windows__ operating system is experimental. Please proceed with caution. -Example 1: Start distributed MinIO instance on 32 nodes with 32 drives each mounted at `/export1` to `/export32` (pictured below), by running this command on all the 32 nodes: +Example 1: Start distributed MinIO instance on n nodes with m drives each mounted at `/export1` to `/exportm` (pictured below), by running this command on all the n nodes: -![Distributed MinIO, 32 nodes with 32 drives each](https://github.com/minio/minio/blob/master/docs/screenshots/Architecture-diagram_distributed_32.png?raw=true) +![Distributed MinIO, n nodes with m drives each](https://github.com/minio/minio/blob/master/docs/screenshots/Architecture-diagram_distributed_nm.png?raw=true) #### GNU/Linux and macOS ```sh export MINIO_ACCESS_KEY= export MINIO_SECRET_KEY= -minio server http://host{1...32}/export{1...32} +minio server http://host{1...n}/export{1...m} ``` -> __NOTE:__ `{1...n}` shown have 3 dots! Using only 2 dots `{1..32}` will be interpreted by your shell and won't be passed to MinIO server, affecting the erasure coding order, which may impact performance and high availability. __Always use ellipses syntax `{1...n}` (3 dots!) for optimal erasure-code distribution__ +> __NOTE:__ In above example `n` and `m` represent positive integers, *do not copy paste and expect it work make the changes according to local deployment and setup*. + +> __NOTE:__ `{1...n}` shown have 3 dots! Using only 2 dots `{1..n}` will be interpreted by your shell and won't be passed to MinIO server, affecting the erasure coding order, which would impact performance and high availability. __Always use ellipses syntax `{1...n}` (3 dots!) for optimal erasure-code distribution__ #### Expanding existing distributed setup MinIO supports expanding distributed erasure coded clusters by specifying new set of clusters on the command-line as shown below: @@ -67,13 +69,13 @@ MinIO supports expanding distributed erasure coded clusters by specifying new se ```sh export MINIO_ACCESS_KEY= export MINIO_SECRET_KEY= -minio server http://host{1...32}/export{1...32} http://host{33...64}/export{1...32} +minio server http://host{1...n}/export{1...m} http://host{1...o}/export{1...m} ``` -Now the server has expanded storage of *1024* more disks in total of *2048* disks, new object upload requests automatically start using the least used cluster. This expansion strategy works endlessly, so you can perpetually expand your clusters as needed. When you restart, it is immediate and non-disruptive to the applications. Each group of servers in the command-line is called a zone. There are 2 zones in this example. New objects are placed in zones in proportion to the amount of free space in each zone. Within each zone, the location of the erasure-set of drives is determined based on a deterministic hashing algorithm. +Now the server has expanded storage of *o\*m* more disks in total of *(n\*m)+(o\*m)* disks, new object upload requests automatically start using the least used cluster. This expansion strategy works endlessly, so you can perpetually expand your clusters as needed. When you restart, it is immediate and non-disruptive to the applications. Each group of servers in the command-line is called a zone. There are 2 zones in this example. New objects are placed in zones in proportion to the amount of free space in each zone. Within each zone, the location of the erasure-set of drives is determined based on a deterministic hashing algorithm. > __NOTE:__ __Each zone you add must have the same erasure coding set size as the original zone, so the same data redundancy SLA is maintained.__ -> For example, if your first zone was 8 drives, you could add further zones of 16, 32 or 1024 drives each. All you have to make sure is deployment SLA is multiples of original zone i.e 8. +> For example, if your first zone was 8 drives, you could add further zones of 16, 32 or 1024 drives each. All you have to make sure is deployment SLA is multiples of original data redundancy SLA i.e 8. ## 3. Test your setup To test this setup, access the MinIO server via browser or [`mc`](https://docs.min.io/docs/minio-client-quickstart-guide). diff --git a/docs/minio-limits.md b/docs/minio-limits.md index 677d133cc..41190fe56 100644 --- a/docs/minio-limits.md +++ b/docs/minio-limits.md @@ -28,8 +28,8 @@ |Maximum object size per PUT operation| 5 TiB| |Maximum number of parts per upload| 10,000| |Part size|5 MiB to 5 GiB. Last part can be 0 B to 5 GiB| -|Maximum number of parts returned per list parts request| 1000| -|Maximum number of objects returned per list objects request| 1000| +|Maximum number of parts returned per list parts request| 10000| +|Maximum number of objects returned per list objects request| 10000| |Maximum number of multipart uploads returned per list multipart uploads request| 1000| ### List of Amazon S3 API's not supported on MinIO @@ -40,17 +40,14 @@ We found the following APIs to be redundant or less useful outside of AWS S3. If - BucketACL (Use [bucket policies](https://docs.min.io/docs/minio-client-complete-guide#policy) instead) - BucketCORS (CORS enabled by default on all buckets for all HTTP verbs) - BucketReplication (Use [`mc mirror`](https://docs.min.io/docs/minio-client-complete-guide#mirror) instead) -- BucketVersions, BucketVersioning (Use [`s3git`](https://github.com/s3git/s3git)) - BucketWebsite (Use [`caddy`](https://github.com/mholt/caddy) or [`nginx`](https://www.nginx.com/resources/wiki/)) - BucketAnalytics, BucketMetrics, BucketLogging (Use [bucket notification](https://docs.min.io/docs/minio-client-complete-guide#events) APIs) - BucketRequestPayment -- BucketTagging #### List of Amazon S3 Object API's not supported on MinIO - ObjectACL (Use [bucket policies](https://docs.min.io/docs/minio-client-complete-guide#policy) instead) - ObjectTorrent -- ObjectVersions ### Object name restrictions on MinIO Object names that contain characters `^*|\/&";` are unsupported on Windows and other file systems which do not support filenames with these characters. 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