Chapter 3. Placement Groups (PGs)
Chapter 3. Placement Groups (PGs) Placement Groups (PGs) are invisible to Ceph clients, but they play an important role in Ceph Storage Clusters. A Ceph Storage Cluster might require many thousands of OSDs to reach an exabyte level of storage capacity. Ceph clients store objects in pools, which are a logical subset of the overall cluster. The number of objects stored in a pool might easily run into the millions and beyond. A system with millions of objects or more cannot realistically track placement on a per-object basis and still perform well. Ceph assigns objects to placement groups, and placement groups to OSDs to make re-balancing dynamic and efficient. All problems in computer science can be solved by another level of indirection, except of course for the problem of too many indirections. -- David Wheeler 3.1. About Placement Groups Tracking object placement on a per-object basis within a pool is computationally expensive at scale. To facilitate high performance at scale, Ceph subdivides a pool into placement groups, assigns each individual object to a placement group, and assigns the placement group to a primary OSD. If an OSD fails or the cluster re-balances, Ceph can move or replicate an entire placement group- that is, all of the objects in the placement groups- without having to address each object individually. This allows a Ceph cluster to re-balance or recover efficiently. When CRUSH assigns a placement group to an OSD, it calculates a series of OSDs- the first being the primary. The osd_pool_default_size setting minus 1 for replicated pools, and the number of coding chunks M for erasure-coded pools determine the number of OSDs storing a placement group that can fail without losing data permanently. Primary OSDs use CRUSH to identify the secondary OSDs and copy the placement group's contents to the secondary OSDs. For example, if CRUSH assigns an object to a placement group, and the placement group is assigned to OSD 5 as the primary OSD, if CRUSH calculates that OSD 1 and OSD 8 are secondary OSDs for the placement group, the primary OSD 5 will copy the data to OSDs 1 and 8. By copying data on behalf of clients, Ceph simplifies the client interface and reduces the client workload. The same process allows the Ceph cluster to recover and rebalance dynamically. When the primary OSD fails and gets marked out of the cluster, CRUSH assigns the placement group to another OSD, which receives copies of objects in the placement group. Another OSD in the Up Set will assume the role of the primary OSD. When you increase the number of object replicas or coding chunks, CRUSH will assign each placement group to additional OSDs as required. Note PGs do not own OSDs. CRUSH assigns many placement groups to each OSD pseudo-randomly to ensure that data gets distributed evenly across the cluster. 3.2. Placement Group Tradeoffs Data durability and data distribution among all OSDs call for more placement groups but their number should be reduced to the minimum required for maximum performance to conserve CPU and memory resources. 3.2.1. Data Durability Ceph strives to prevent the permanent loss of data. However, after an OSD fails, the risk of permanent data loss increases until the data it contained is fully recovered. Permanent data loss, though rare, is still possible. The following scenario describes how Ceph could permanently lose data in a single placement group with three copies of the data: An OSD fails and all copies of the object it contains are lost. For all objects within a placement group stored on the OSD, the number of replicas suddenly drops from three to two. Ceph starts recovery for each placement group stored on the failed OSD by choosing a new OSD to re-create the third copy of all objects for each placement group. The second OSD containing a copy of the same placement group fails before the new OSD is fully populated with the third copy. Some objects will then only have one surviving copy. Ceph picks yet another OSD and keeps copying objects to restore the desired number of copies. The third OSD containing a copy of the same placement group fails before recovery is complete. If this OSD contained the only remaining copy of an object, the object is lost permanently. Hardware failure isn't an exception, but an expectation. To prevent the foregoing scenario, ideally the recovery process should be as fast as reasonably possible. The size of your cluster, your hardware configuration and the number of placement groups play an important role in total recovery time. Small clusters don't recover as quickly. In a cluster containing 10 OSDs with 512 placement groups in a three replica pool, CRUSH will give each placement group three OSDs. Each OSD will end up hosting (512 * 3) / 10 = ~150 placement groups. When the first OSD fails, the cluster will start recovery for all 150 placement groups simultaneously. It is likely that Ceph stored the remaining 150 placement groups randomly across the 9 remaining OSDs. Therefore, each remaining OSD is likely to send copies of objects to all other OSDs and also receive some new objects, because the remaining OSDs become responsible for some of the 150 placement groups now assigned to them. The total recovery time depends upon the hardware supporting the pool. For example, in a 10 OSD cluster, if a host contains one OSD with a 1 TB SSD, and a 10 GB/s switch connects each of the 10 hosts, the recovery time will take M minutes. By contrast, if a host contains two SATA OSDs and a 1 GB/s switch connects the five hosts, recovery will take substantially longer. Interestingly, in a cluster of this size, the number of placement groups has almost no influence on data durability. The placement group count could be 128 or 8192 and the recovery would not be slower or faster. However, growing the same Ceph cluster to 20 OSDs instead of 10 OSDs is likely to speed up recovery and therefore improve data durability significantly. Why? Each OSD now participates in only 75 placement groups instead of 150. The 20 OSD cluster will still require all 19 remaining OSDs to perform the same amount of copy operations in order to recover. In the 10 OSD cluster, each OSDs had to copy approximately 100 GB. In the 20 OSD cluster each OSD only has to copy 50 GB each. If the network was the bottleneck, recovery will happen twice as fast. In other words, recovery time decreases as the number of OSDs increases. In large clusters, PG count is important! If the exemplary cluster grows to 40 OSDs, each OSD will only host 35 placement groups. If an OSD dies, recovery time will decrease unless another bottleneck precludes improvement. However, if this cluster grows to 200 OSDs, each OSD will only host approximately 7 placement groups. If an OSD dies, recovery will happen between at most of 21 (7 * 3) OSDs in these placement groups: recovery will take longer than when there were 40 OSDs, meaning the number of placement groups should be increased! Important No matter how short the recovery time, there is a chance for another OSD storing the placement group to fail while recovery is in progress. In the 10 OSD cluster described above, if any OSD fails, then approximately 8 placement groups (that is 75 pgs / 9 osds being recovered) will only have one surviving copy. And if any of the 8 remaining OSDs fail, the last objects of one placement group are likely to be lost (that is 8 pgs / 8 osds with only one remaining copy being recovered). This is why starting with a somewhat larger cluster is preferred (for example, 50 OSDs). When the size of the cluster grows to 20 OSDs, the number of placement groups damaged by the loss of three OSDs drops. The second OSD lost will degrade approximately 2 (that is 35 pgs / 19 osds being recovered) instead of 8 and the third OSD lost will only lose data if it is one of the two OSDs containing the surviving copy. In other words, if the probability of losing one OSD is 0.0001% during the recovery time frame, it goes from 8 * 0.0001% in the cluster with 10 OSDs to 2 * 0.0001% in the cluster with 20 OSDs. Having 512 or 4096 placement groups is roughly equivalent in a cluster with less than 50 OSDs as far as data durability is concerned. Tip In a nutshell, more OSDs means faster recovery and a lower risk of cascading failures leading to the permanent loss of a placement group and its objects. When you add an OSD to the cluster, it might take a long time top populate the new OSD with placement groups and objects. However there is no degradation of any object and adding the OSD has no impact on data durability. 3.2.2. Data Distribution Ceph seeks to avoid hot spots- that is, some OSDs receive substantially more traffic than other OSDs. Ideally, CRUSH assigns objects to placement groups evenly so that when the placement groups get assigned to OSDs (also pseudo randomly), the primary OSDs store objects such that they are evenly distributed across the cluster and hot spots and network over-subscription problems cannot develop because of data distribution. Since CRUSH computes the placement group for each object, but does not actually know how much data is stored in each OSD within this placement group, the ratio between the number of placement groups and the number of OSDs might influence the distribution of the data significantly. For instance, if there was only one placement group with ten OSDs in a three replica pool, Ceph would only use three OSDs to store data because CRUSH would have no other choice. When more placement groups are available, CRUSH is more likely to be evenly spread objects across OSDs. CRUSH also evenly assigns placement groups to OSDs. As long as there are one or two orders of magnitude more placement groups than OSDs, the distribution should be even. For instance, 256 placement groups for 3 OSDs, 512 or 1024 placement groups for 10 OSDs, and so forth. The ratio between OSDs and placement groups usually solves the problem of uneven data distribution for Ceph clients that implement advanced features like object striping. For example, a 4 TB block device might get sharded up into 4 MB objects. The ratio between OSDs and placement groups does not address uneven data distribution in other cases, because CRUSH does not take object size into account. Using the librados interface to store some relatively small objects and some very large objects can lead to uneven data distribution. For example, one million 4K objects totaling 4 GB are evenly spread among 1000 placement groups on 10 OSDs. They will use 4 GB / 10 = 400 MB on each OSD. If one 400 MB object is added to the pool, the three OSDs supporting the placement group in which the object has been placed will be filled with 400 MB + 400 MB = 800 MB while the seven others will remain occupied with only 400MB. 3.2.3. Resource Usage For each placement group, OSDs and Ceph monitors need memory, network and CPU at all times, and even more during recovery. Sharing this overhead by clustering objects within a placement group is one of the main reasons placement groups exist. Minimizing the number of placement groups saves significant amounts of resources. 3.3. PG Count The number of placement groups in a pool plays a significant role in how a cluster peers, distributes data and rebalances. Small clusters don't see as many performance improvements compared to large clusters by increasing the number of placement groups. However, clusters that have many pools accessing the same OSDs might need to carefully consider PG count so that Ceph OSDs use resources efficiently. Tip Red Hat recommends 100 to 200 PGs per OSD. 3.3.1. PG Calculator The PG calculator calculates the number of placement groups for you and addresses specific use cases. The PG calculator is especially helpful when using Ceph clients like the Ceph Object Gateway where there are many pools typically using same rule (CRUSH hierarchy). You might still calculate PGs manually using the guidelines in PG Count for Small Clusters and Calculating PG Count . However, the PG calculator is the preferred method of calculating PGs. See Ceph Placement Groups (PGs) per Pool Calculator on the Red Hat Customer Portal for details. 3.3.2. Configuring Default PG Counts When you create a pool, you also create a number of placement groups for the pool. If you don't specify the number of placement groups, Ceph will use the default value of 32 , which is low for some pools. You can increase the number of placement groups for a pool, but we recommend setting reasonable default values in your Ceph configuration file too. Note In order to avoid health warning POOL_PG_NUM_NOT_POWER_OF_TWO messages, use values which are power of two for the placement groups. You need to set both the number of placement groups (total), and the number of placement groups used for objects (used in PG splitting). They should be equal. 3.3.3. PG Count for Small Clusters Small clusters don't benefit from large numbers of placement groups. As the number of OSDs increase, choosing the right value for pg_num and pgp_num becomes more important because it has a significant influence on the behavior of the cluster as well as the durability of the data when something goes wrong (that is the probability that a catastrophic event leads to data loss). It is important to use the PG calculator with small clusters. 3.3.4. Calculating PG Count If you have more than 50 OSDs, we recommend approximately 50-100 placement groups per OSD to balance out resource usage, data durability and distribution. If you have less than 50 OSDs, choosing among the PG Count for Small Clusters is ideal. For a single pool of objects, you can use the following formula to get a baseline: Where pool size is either the number of replicas for replicated pools or the K+M sum for erasure coded pools (as returned by ceph osd erasure-code-profile get ). You should then check if the result makes sense with the way you designed your Ceph cluster to maximize data durability, data distribution and minimize resource usage. The result should be rounded up to the nearest power of two. Rounding up is optional, but recommended for CRUSH to evenly balance the number of objects among placement groups. For a cluster with 200 OSDs and a pool size of 3 replicas, you would estimate your number of PGs as follows: With 8192 placement groups distributed across 200 OSDs, that evaluates to approximately 41 placement groups per OSD. You also need to consider the number of pools you are likely to use in your cluster, since each pool will create placement groups too. Ensure that you have a reasonable maximum PG count . 3.3.5. Maximum PG Count When using multiple data pools for storing objects, you need to ensure that you balance the number of placement groups per pool with the number of placement groups per OSD so that you arrive at a reasonable total number of placement groups. The aim is to achieve reasonably low variance per OSD without taxing system resources or making the peering process too slow. In an exemplary Ceph Storage Cluster consisting of 10 pools, each pool with 512 placement groups on ten OSDs, there is a total of 5,120 placement groups spread over ten OSDs, or 512 placement groups per OSD. That might not use too many resources depending on your hardware configuration. By contrast, if you create 1,000 pools with 512 placement groups each, the OSDs will handle ~50,000 placement groups each and it would require significantly more resources. Operating with too many placement groups per OSD can significantly reduce performance, especially during rebalancing or recovery. The Ceph Storage Cluster has a default maximum value of 300 placement groups per OSD. You can set a different maximum value in your Ceph configuration file. Tip Ceph Object Gateways deploy with 10-15 pools, so you might consider using less than 100 PGs per OSD to arrive at a reasonable maximum number. 3.4. Auto-scaling placement groups The number of placement groups (PGs) in a pool plays a significant role in how a cluster peers, distributes data, and rebalances. Auto-scaling the number of PGs can make managing the cluster easier. The pg-autoscaling command provides recommendations for scaling PGs, or automatically scales PGs based on how the cluster is being used. To learn more about how auto-scaling works, see Section 3.4.1, "Placement group auto-scaling" . To enable, or disable auto-scaling, see Section 3.4.3, "Setting placement group auto-scaling modes" . To view placement group auto-scaling recommendations, see Section 3.4.4, "Viewing placement group auto-scaling recommendations" . To set placement group auto-scaling, see Section 3.4.5, "Setting placement group auto-scaling" . To set target pool size see, Section 3.4.6, "Specifying target pool size" . 3.4.1. Placement group auto-scaling How the auto-scaler works The auto-scaler analyzes pools and adjusts on a per-subtree basis. Because each pool can map to a different CRUSH rule, and each rule can distribute data across different devices, Ceph considers utilization of each subtree of the hierarchy independently. For example, a pool that maps to OSDs of class ssd , and a pool that maps to OSDs of class hdd , will each have optimal PG counts that depend on the number of those respective device types. 3.4.2. Placement group splitting and merging Splitting Red Hat Ceph Storage can split existing placement groups (PGs) into smaller PGs, which increases the total number of PGs for a given pool. Splitting existing placement groups (PGs) allows a small Red Hat Ceph Storage cluster to scale over time as storage requirements increase. The PG auto-scaling feature can increase the pg_num value, which causes the existing PGs to split as the storage cluster expands. If the PG auto-scaling feature is disabled, then you can manually increase the pg_num value, which triggers the PG split process to begin. For example, increasing the pg_num value from 4 to 16 , will split into four pieces. Increasing the pg_num value will also increase the pgp_num value, but the pgp_num value increases at a gradual rate. This gradual increase is done to minimize the impact to a storage cluster's performance and to a client's workload, because migrating object data adds a significant load to the system. By default, Ceph queues and moves no more than 5% of the object data that is in a "misplaced" state. This default percentage can be adjusted with the target_max_misplaced_ratio option. Merging Red Hat Ceph Storage can also merge two existing PGs into a larger PG, which decreases the total number of of PGs. Merging two PGs together can be useful, especially when the relative amount of objects in a pool decrease over time, or when the initial number of PGs chosen was too large. While merging PGs can be useful, it is also a complex and delicate process. When doing a merge, pausing I/O to the PG occurs, and only one PG is merged at a time as to minimize the impact to a storage cluster's performance. Ceph works slowly on merging the object data until the new pg_num value is reached. 3.4.3. Setting placement group auto-scaling modes Each pool in the Red Hat Ceph Storage cluster has a pg_autoscale_mode property for PGs that you can set to off , on , or warn . off : Disables auto-scaling for the pool. It is up to the administrator to choose an appropriate PG number for each pool. Refer to the PG count section for more information. on : Enables automated adjustments of the PG count for the given pool. warn : Raises health alerts when the PG count needs adjustment. The default value of pg_autoscale_mode is the warn mode. Procedure To set pg_autoscaling_mode : For existing pools: For example, to enable auto-scaling on pool testpool : As default for newly created pools: 3.4.4. Viewing placement group auto-scaling recommendations Procedure You can view each pool, its relative utilization, and any suggested changes to the PG count using: Output will look similar to the following: SIZE is the amount of data stored in the pool. TARGET SIZE , if present, is the amount of data the administrator has specified they expect to eventually be stored in this pool. The system uses the larger of the two values for its calculation. RATE is the multiplier for the pool that determines how much raw storage capacity the pool uses. For example, a 3 replica pool has a ratio of 3.0 , while a k=4,m=2 erasure coded pool has a ratio of 1.5 . RAW CAPACITY is the total amount of raw storage capacity on the OSDs that are responsible for storing the pool's data. RATIO is the ratio of the total capacity that the pool is consuming, that is, ratio = size * rate / raw capacity. TARGET RATIO , if present, is the ratio of storage the administrator has specified that they expect the pool to consume relative to other pools with target ratios set. If both target size bytes and ratio are specified, the ratio takes precedence. EFFECTIVE RATIO , is the target ratio after adjusting in two ways: 1. subtracting any capacity expected to be used by pools with target size set. 2. normalizing the target ratios among pools with target ratio set so they collectively target the rest of the space. For example, 4 pools with target ratio 1.0 would have an effective ratio of 0.25. The system uses the larger of the actual ratio and the effective ratio for its calculation. BIAS , is a pool property that is used by the PG autoscaler to scale some pools faster than others, in terms of number of PGs. It is essentially a multiplier used to give more PG to a pool than the default number of PGs. This property is particularly used for metadata pools which might be small in size but have large number of objects, so scaling them faster is important for better performance. The default value for BIAS is 1.0. You can set this value by running ceph osd pool set pool-name pg_autoscale_bias 4 command. Accepted values are between 0 and 1000. However, it is recommended to set the value of BIAS to 4.0 by default for CephFS metadata pool and Ceph Object Gateway index pool. PG_NUM is the current number of PGs for the pool, or the current number of PGs that the pool is working towards, if a pg_num change is in progress. NEW PG_NUM , if present, is the suggested number of PGs ( pg_num ). It is always a power of 2, and is only present the suggested value varies from the current value by more than a factor of 3. AUTOSCALE , is the pool pg_autoscale_mode , and is either on , off , or warn . 3.4.5. Setting placement group auto-scaling Allowing the cluster to automatically scale PGs based on cluster usage is the simplest approach to scaling PGs. Red Hat Ceph Storage takes the total available storage and the target number of PGs for the whole system, compares how much data is stored in each pool, and apportions the PGs accordingly. The command only makes changes to a pool whose current number of PGs ( pg_num ) is more than three times off from the calculated or suggested PG number. The target number of PGs per OSD is based on the mon_target_pg_per_osd configurable. The default value is set to 100 . Procedure To adjust mon_target_pg_per_osd : For example: 3.4.6. Specifying target pool size A newly created pool consumes a small fraction of the total cluster capacity and appears to the system that it will need a small number of PGs. However, in most cases, cluster administrators knows which pools are expected to consume most of the system capacity over time. If you provide this information, known as the target size to Red Hat Ceph Storage, such pools can use more appropriate number of PGs ( pg_num ) from the beginning. This approach prevents subsequent changes in pg_num and the overhead associated with moving data around when making those adjustments. You can specify target size of a pool in these ways: Section 3.4.6.1, "Specifying target size using the absolute size of the pool" Section 3.4.6.2, "Specifying target size using the total cluster capacity" 3.4.6.1. Specifying target size using the absolute size of the pool Procedure Set the target size using the absolute size of the pool in bytes: For example, to instruct the system that mypool is expected to consume 100T of space: You can also set the target size of a pool at creation time by adding the optional --target-size-bytes <bytes> argument to the ceph osd pool create command. 3.4.6.2. Specifying target size using the total cluster capacity Procedure Set the target size using the ratio of the total cluster capacity: For Example: tells the system that the pool mypool is expected to consume 1.0 relative to the other pools with target_size_ratio set. If mypool is the only pool in the cluster, this means an expected use of 100% of the total capacity. If there is a second pool with target_size_ratio as 1.0, both pools would expect to use 50% of the cluster capacity. You can also set the target size of a pool at creation time by adding the optional --target-size-ratio <ratio> argument to the ceph osd pool create command. Note If you specify impossible target size values, for example, a capacity larger than the total cluster, or ratios that sum to more than 1.0, the cluster raises a POOL_TARGET_SIZE_RATIO_OVERCOMMITTED or POOL_TARGET_SIZE_BYTES_OVERCOMMITTED health warning. If you specify both target_size_ratio and target_size_bytes for a pool, the cluster considers only the ratio, and raises a POOL_HAS_TARGET_SIZE_BYTES_AND_RATIO health warning. 3.5. PG Command-Line Reference The ceph CLI allows you to set and get the number of placement groups for a pool, view the PG map and retrieve PG statistics. 3.5.1. Set the Number of PGs To set the number of placement groups in a pool, you must specify the number of placement groups at the time you create the pool. See Create a Pool for details. To change the number of placement groups after a pool is created, execute the following: Once you increase the number of placement groups, you must also increase the number of placement groups for placement ( pgp_num ) before your cluster will rebalance. The pgp_num should be equal to the pg_num . The pgp_num will be the number of placement groups that will be considered for placement by the CRUSH algorithm. Increasing pg_num splits the placement groups but data will not be migrated to the newer placement groups until placement groups for placement,that is, pgp_num is increased. To increase the number of placement groups for placement, execute the following: When decreasing the number of PGs, pgp_num is adjusted automatically. 3.5.2. Get the Number of PGs To get the number of placement groups in a pool, execute the following: 3.5.3. Get a Cluster PG Statistics To get the statistics for the placement groups in your cluster, execute the following: Valid formats are plain (default) and json . 3.5.4. Get Statistics for Stuck PGs To get the statistics for all placement groups stuck in a specified state, execute the following: Inactive Placement groups cannot process reads or writes because they are waiting for an OSD with the most up-to-date data to come up and in. Unclean Placement groups contain objects that are not replicated the desired number of times. They should be recovering. Stale Placement groups are in an unknown state - the OSDs that host them have not reported to the monitor cluster in a while (configured by mon_osd_report_timeout ). Valid formats are plain (default) and json . The threshold defines the minimum number of seconds the placement group is stuck before including it in the returned statistics (default 300 seconds). 3.5.5. Get a PG Map To get the placement group map for a particular placement group, execute the following: For example: Ceph will return the placement group map, the placement group, and the OSD status: 3.5.6. Get a PGs Statistics To retrieve statistics for a particular placement group, execute the following: 3.5.7. Scrub a Placement Group To scrub a placement group, execute the following: Ceph checks the primary and any replica nodes, generates a catalog of all objects in the placement group and compares them to ensure that no objects are missing or mismatched, and their contents are consistent. Assuming the replicas all match, a final semantic sweep ensures that all of the snapshot-related object metadata is consistent. Errors are reported via logs. 3.5.8. Revert Lost If the cluster has lost one or more objects, and you have decided to abandon the search for the lost data, you must mark the unfound objects as lost . If all possible locations have been queried and objects are still lost, you might have to give up on the lost objects. This is possible given unusual combinations of failures that allow the cluster to learn about writes that were performed before the writes themselves are recovered. Currently the only supported option is "revert", which will either roll back to a version of the object or (if it was a new object) forget about it entirely. To mark the "unfound" objects as "lost", execute the following: Important Use this feature with caution, because it might confuse applications that expect the object(s) to exist.
osd pool default pg num = 1024 osd pool default pgp num = 1024 (OSDs * 100) Total PGs = ------------ pool size (200 * 100) ----------- = 6667. Nearest power of 2: 8192 3 mon_max_pg_per_osd ceph osd pool set pool-name pg_autoscale_mode mode ceph osd pool set testpool pg_autoscale_mode on ceph config set global osd_pool_default_pg_autoscale_mode <mode> ceph osd pool autoscale-status POOL SIZE TARGET SIZE RATE RAW CAPACITY RATIO TARGET RATIO EFFECTIVE RATIO BIAS PG_NUM NEW PG_NUM AUTOSCALE cephfs_data 65 3.0 449.9G 0.0000 1.0 32 warn cephfs_metadata 78724 3.0 449.9G 0.0000 1.0 8 warn .rgw.root 3062 3.0 449.9G 0.0000 1.0 32 warn default.rgw.control 0 3.0 449.9G 0.0000 1.0 32 warn default.rgw.meta 1304 3.0 449.9G 0.0000 1.0 32 warn default.rgw.log 6761 3.0 449.9G 0.0000 1.0 32 warn default.rgw.buckets.index 0 3.0 449.9G 0.0000 1.0 32 warn default.rgw.buckets.data 4910 3.0 449.9G 0.0000 1.0 32 warn ocs-ext 119.2M 3.0 449.9G 0.0008 1.0 32 warn ceph config set global mon_target_pg_per_osd number ceph config set global mon_target_pg_per_osd 150 ceph osd pool set pool-name target_size_bytes value ceph osd pool set mypool target_size_bytes 100T ceph osd pool set pool-name target_size_ratio ratio ceph osd pool set mypool target_size_ratio 1.0 ceph osd pool set {pool-name} pg_num {pg_num} ceph osd pool set {pool-name} pgp_num {pgp_num} ceph osd pool get {pool-name} pg_num ceph pg dump [--format {format}] ceph pg dump_stuck {inactive|unclean|stale|undersized|degraded [inactive|unclean|stale|undersized|degraded...]} {<int>} ceph pg map {pg-id} ceph pg map 1.6c osdmap e13 pg 1.6c (1.6c) -> up [1,0] acting [1,0] ceph pg {pg-id} query ceph pg scrub {pg-id} ceph pg {pg-id} mark_unfound_lost revert|delete