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+===============
+ Deduplication
+===============
+
+
+Introduction
+============
+
+Applying data deduplication on an existing software stack is not easy
+due to additional metadata management and original data processing
+procedure.
+
+In a typical deduplication system, the input source as a data
+object is split into multiple chunks by a chunking algorithm.
+The deduplication system then compares each chunk with
+the existing data chunks, stored in the storage previously.
+To this end, a fingerprint index that stores the hash value
+of each chunk is employed by the deduplication system
+in order to easily find the existing chunks by comparing
+hash value rather than searching all contents that reside in
+the underlying storage.
+
+There are many challenges in order to implement deduplication on top
+of Ceph. Among them, two issues are essential for deduplication.
+First is managing scalability of fingerprint index; Second is
+it is complex to ensure compatibility between newly applied
+deduplication metadata and existing metadata.
+
+Key Idea
+========
+1. Content hashing (Double hashing): Each client can find an object data
+for an object ID using CRUSH. With CRUSH, a client knows object's location
+in Base tier.
+By hashing object's content at Base tier, a new OID (chunk ID) is generated.
+Chunk tier stores in the new OID that has a partial content of original object.
+
+ Client 1 -> OID=1 -> HASH(1's content)=K -> OID=K ->
+ CRUSH(K) -> chunk's location
+
+
+2. Self-contained object: The external metadata design
+makes difficult for integration with storage feature support
+since existing storage features cannot recognize the
+additional external data structures. If we can design data
+deduplication system without any external component, the
+original storage features can be reused.
+
+More details in https://ieeexplore.ieee.org/document/8416369
+
+Design
+======
+
+.. ditaa::
+
+ +-------------+
+ | Ceph Client |
+ +------+------+
+ ^
+ Tiering is |
+ Transparent | Metadata
+ to Ceph | +---------------+
+ Client Ops | | |
+ | +----->+ Base Pool |
+ | | | |
+ | | +-----+---+-----+
+ | | | ^
+ v v | | Dedup metadata in Base Pool
+ +------+----+--+ | | (Dedup metadata contains chunk offsets
+ | Objecter | | | and fingerprints)
+ +-----------+--+ | |
+ ^ | | Data in Chunk Pool
+ | v |
+ | +-----+---+-----+
+ | | |
+ +----->| Chunk Pool |
+ | |
+ +---------------+
+ Data
+
+
+Pool-based object management:
+We define two pools.
+The metadata pool stores metadata objects and the chunk pool stores
+chunk objects. Since these two pools are divided based on
+the purpose and usage, each pool can be managed more
+efficiently according to its different characteristics. Base
+pool and the chunk pool can separately select a redundancy
+scheme between replication and erasure coding depending on
+its usage and each pool can be placed in a different storage
+location depending on the required performance.
+
+Regarding how to use, please see ``osd_internals/manifest.rst``
+
+Usage Patterns
+==============
+
+Each Ceph interface layer presents unique opportunities and costs for
+deduplication and tiering in general.
+
+RadosGW
+-------
+
+S3 big data workloads seem like a good opportunity for deduplication. These
+objects tend to be write once, read mostly objects which don't see partial
+overwrites. As such, it makes sense to fingerprint and dedup up front.
+
+Unlike cephfs and rbd, radosgw has a system for storing
+explicit metadata in the head object of a logical s3 object for
+locating the remaining pieces. As such, radosgw could use the
+refcounting machinery (``osd_internals/refcount.rst``) directly without
+needing direct support from rados for manifests.
+
+RBD/Cephfs
+----------
+
+RBD and CephFS both use deterministic naming schemes to partition
+block devices/file data over rados objects. As such, the redirection
+metadata would need to be included as part of rados, presumably
+transparently.
+
+Moreover, unlike radosgw, rbd/cephfs rados objects can see overwrites.
+For those objects, we don't really want to perform dedup, and we don't
+want to pay a write latency penalty in the hot path to do so anyway.
+As such, performing tiering and dedup on cold objects in the background
+is likely to be preferred.
+
+One important wrinkle, however, is that both rbd and cephfs workloads
+often feature usage of snapshots. This means that the rados manifest
+support needs robust support for snapshots.
+
+RADOS Machinery
+===============
+
+For more information on rados redirect/chunk/dedup support, see ``osd_internals/manifest.rst``.
+For more information on rados refcount support, see ``osd_internals/refcount.rst``.
+
+Status and Future Work
+======================
+
+At the moment, there exists some preliminary support for manifest
+objects within the OSD as well as a dedup tool.
+
+RadosGW data warehouse workloads probably represent the largest
+opportunity for this feature, so the first priority is probably to add
+direct support for fingerprinting and redirects into the refcount pool
+to radosgw.
+
+Aside from radosgw, completing work on manifest object support in the
+OSD particularly as it relates to snapshots would be the next step for
+rbd and cephfs workloads.
+
+How to use deduplication
+========================
+
+ * This feature is highly experimental and is subject to change or removal.
+
+Ceph provides deduplication using RADOS machinery.
+Below we explain how to perform deduplication.
+
+
+1. Estimate space saving ratio of a target pool using ``ceph-dedup-tool``.
+
+.. code:: bash
+
+ ceph-dedup-tool --op estimate --pool $POOL --chunk-size chunk_size
+ --chunk-algorithm fixed|fastcdc --fingerprint-algorithm sha1|sha256|sha512
+ --max-thread THREAD_COUNT
+
+This CLI command will show how much storage space can be saved when deduplication
+is applied on the pool. If the amount of the saved space is higher than user's expectation,
+the pool probably is worth performing deduplication.
+Users should specify $POOL where the object---the users want to perform
+deduplication---is stored. The users also need to run ceph-dedup-tool multiple time
+with varying ``chunk_size`` to find the optimal chunk size. Note that the
+optimal value probably differs in the content of each object in case of fastcdc
+chunk algorithm (not fixed). Example output:
+
+::
+
+ {
+ "chunk_algo": "fastcdc",
+ "chunk_sizes": [
+ {
+ "target_chunk_size": 8192,
+ "dedup_bytes_ratio": 0.4897049
+ "dedup_object_ratio": 34.567315
+ "chunk_size_average": 64439,
+ "chunk_size_stddev": 33620
+ }
+ ],
+ "summary": {
+ "examined_objects": 95,
+ "examined_bytes": 214968649
+ }
+ }
+
+The above is an example output when executing ``estimate``. ``target_chunk_size`` is the same as
+``chunk_size`` given by the user. ``dedup_bytes_ratio`` shows how many bytes are redundant from
+examined bytes. For instance, 1 - ``dedup_bytes_ratio`` means the percentage of saved storage space.
+``dedup_object_ratio`` is the generated chunk objects / ``examined_objects``. ``chunk_size_average``
+means that the divided chunk size on average when performing CDC---this may differnet from ``target_chunk_size``
+because CDC genarates different chunk-boundary depending on the content. ``chunk_size_stddev``
+represents the standard deviation of the chunk size.
+
+
+2. Create chunk pool.
+
+.. code:: bash
+
+ ceph osd pool create CHUNK_POOL
+
+
+3. Run dedup command (there are two ways).
+
+.. code:: bash
+
+ ceph-dedup-tool --op sample-dedup --pool POOL --chunk-pool CHUNK_POOL --chunk-size
+ CHUNK_SIZE --chunk-algorithm fastcdc --fingerprint-algorithm sha1|sha256|sha512
+ --chunk-dedup-threshold THRESHOLD --max-thread THREAD_COUNT ----sampling-ratio SAMPLE_RATIO
+ --wakeup-period WAKEUP_PERIOD --loop --snap
+
+The ``sample-dedup`` comamnd spawns threads specified by ``THREAD_COUNT`` to deduplicate objects on
+the ``POOL``. According to sampling-ratio---do a full search if ``SAMPLE_RATIO`` is 100, the threads selectively
+perform deduplication if the chunk is redundant over ``THRESHOLD`` times during iteration.
+If --loop is set, the theads will wakeup after ``WAKEUP_PERIOD``. If not, the threads will exit after one iteration.
+
+.. code:: bash
+
+ ceph-dedup-tool --op object-dedup --pool POOL --object OID --chunk-pool CHUNK_POOL
+ --fingerprint-algorithm sha1|sha256|sha512 --dedup-cdc-chunk-size CHUNK_SIZE
+
+The ``object-dedup`` command triggers deduplication on the RADOS object specified by ``OID``.
+All parameters shown above must be specified. ``CHUNK_SIZE`` should be taken from
+the results of step 1 above.
+Note that when this command is executed, ``fastcdc`` will be set by default and other parameters
+such as ``FP`` and ``CHUNK_SIZE`` will be set as defaults for the pool.
+Deduplicated objects will appear in the chunk pool. If the object is mutated over time, user needs to re-run
+``object-dedup`` because chunk-boundary should be recalculated based on updated contents.
+The user needs to specify ``snap`` if the target object is snapshotted. After deduplication is done, the target
+object size in ``POOL`` is zero (evicted) and chunks objects are genereated---these appear in ``CHUNK_POOL``.
+
+
+4. Read/write I/Os
+
+After step 3, the users don't need to consider anything about I/Os. Deduplicated objects are
+completely compatible with existing RADOS operations.
+
+
+5. Run scrub to fix reference count
+
+Reference mismatches can on rare occasions occur to false positives when handling reference counts for
+deduplicated RADOS objects. These mismatches will be fixed by periodically scrubbing the pool:
+
+.. code:: bash
+
+ ceph-dedup-tool --op chunk-scrub --op chunk-scrub --chunk-pool CHUNK_POOL --pool POOL --max-thread THREAD_COUNT
+