Depending upon where you shop around, you can find that object storage costs about 1/3 to 1/5 as much as block storage (remember, HDFS requires block storage). The replication factor is 3 by default and hence any file you create in HDFS will have a replication factor of 3 and each block from the file will be copied to 3 different nodes in your cluster. Data loss --> One or more datanode or disk failure will result in data loss. backend: s3 s3: endpoint: minio:9000 # set a valid s3 hostname bucket_name: metrics-enterprise-tsdb # set a value for an existing bucket at the provided s3 address. This would ensure that the incoming data get replicated between two receiver pods. The replication factor is a property that can be set in the HDFS configuration file that will allow you to adjust the global replication factor for the entire cluster. replication_factor: 3 blocks_storage: tsdb: dir: /tmp/cortex/tsdb bucket_store: sync_dir: /tmp/cortex/tsdb-sync # TODO: Configure the tsdb bucket according to your environment. The server.conf attribute that determines the replication factor is replication_factor in the [shclustering] stanza. So, MinIO is a great way to deal with this problem as it supports continuous replication, which is suitable for a cross-data center and large scale deployment. All search head cluster members must use the same replication factor. ... 127.0.0.1 minio.local 127.0.0.1 query.local 127.0.0.1 cluster.prometheus.local 127.0.0.1 tenant-a.prometheus.local 127.0.0.1 tenant-b.prometheus.local. But when we see the size of content on drives it is more and on debuuging we found out that it is having failed multipart uploaded data in .minio.sys folder. We still need an excellent strategy to span data centers, clouds, and geographies. I read the MinIO Erasure Code Quickstart Guide, but I don't need MinIO to manage data replication on different local drives because all three nodes are on separated virtual machines on separated hardware and the local storage is already protected by ZFS. For each block stored in HDFS, there will be n – 1 duplicated blocks distributed across the cluster. The factor that likely makes most people’s eyes light up is the cost. For both Thanos receiver statefulsets (soft and hard) we are setting a replication factor=2. One Replication factor means that there is only a single copy of data while three replication factor means that there are three copies of the data on three different nodes. Replication factor dictates how many copies of a block should be kept in your cluster. You specify the replication factor during deployment of the cluster, as part of member initialization. 3. Replication factor configuration. You will note that GlusterFS Volume has a total size of 47GB usable space, which is the same size as one of our disks, but that is because we have a replicated volume with a replication factor of 3: (47 * 3 / 3) Now we have a Storage Volume which has 3 Replicas, one copy on each node, which allows us Data Durability on our Storage. 2. dfs.replication can be updated in running cluster in hdfs-sie.xml.. Set the replication factor for a file- hadoop dfs -setrep -w file-path Or set it recursively for directory or for entire cluster- hadoop fs -setrep -R -w 1 / Replication factor can’t be set for any specific node in cluster, you can set it for entire cluster/directory/file. Another crucial factor of the MinIO is to contribute the efficient and quick delta computation. Well there are many disadvantages of using replication factor 1 and we strongly do not recommend it for below reasons: 1. Idealy the data inside the minio server drives combined should be double of data uploaded to minio server due to 2 replication factor. Performance issues --> Having replication factor of more than 1 results in more parallelization. For ensuring there is no single point of failure, replication factor must be three. The cost of bulk storage for object store is much less than the block storage you would need for HDFS.

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