dedupe data

reduction technology that can effectively optimize the storage capacity. It deletes duplicate data in a dataset and retains only one of them to eliminate redundant data, as shown in principle 4. Dedupe technology can effectively improve storage efficiency and utilization, and reduce data to 1/20 ~ 1/50. This technolog

technology, you can improve the efficiency of the storage system, effectively save costs, and reduce network bandwidth during transmission. It is also a green storage technology that can effectively reduce energy consumption. Dedupe can be divided into file-level and data block-level based on the granularity of deduplication. The file-level dedup technology is also called the Single Instance Storage (SIS,

, and only one copy needs to be retained in the storage system. In this way, a physical file corresponds to a logical representation in the storage system, consisting of a group of FP metadata. When reading a file, read the logical file first, and then extract the corresponding data blocks from the storage system based on the FP sequence to restore the physical file copy.Currently, dedupe is mainly used for

block calculation of fingerprint (FP, fingerprint). A block of data with the same FP fingerprint can be considered to be the same block of data, and only one copy of the storage system needs to be retained. Thus, a physical file in the storage system corresponds to a logical representation, consisting of a set of FP metadata. When the file is read, the logical file is read first, then the corresponding

The first chapter data structure and algorithm 1.1 Splitting a sequence into separate variables p = (4, 5) x, y = pprint x print y data = [' ACME ', ' 91.1 ', ' (') ', ' + ', ' + ')]name, shares, price, date = Dataprint Namepri NT shares print price print date name, shares, Price, (year, Mon, day) = Dataprint Year p = (4, 5) #x, y, z = p error!!! s = ' hello! ' A, B, C, D, E, F = sprint aprint Fdata = ['

1.Data deduplicationSOLR supports data deduplication through the types of Method Describe Md5signature The 128-bit hash is used for replica detection resolution. Lookup3signature A 64-bit hash is used for replica detection resolution. Faster than MD5, with smaller indexes. Textprofilesignature near-duplicate detection from fu

'}>>> a.keys ()-B.keys () {' Z '}>>> a.items () B.items () {(' Y ', 2)}G T;>>Delete sequence of same elements and maintain order>>> def dedupe (items): Seen =set () for item in Items:if item not in Seen:yield Itemseen.add (item) >>> a = [ 1, 5, 2, 1, 9, 1, 5, 10]>>> list (Dedupe (a)) [1, 5, 2, 9, 10]>>>Named slices>>> record = ' ......... ..... 100 ..... 513.25 ... ' >>> shares=slice (20,23) >>> price=sli

1Course PlanMenu Data ManagementRights Data ManagementRole Data ManagementUser Data Managementin the Realm in the dynamic query user rights, RolesS Hiro integrated in Ehcache Cache Permission Data2Menu Data Additions2.1 using combotree parent menu item

Using the Docker process, we need to look at the data generated in the container, and between the container and the container, the container and the host before the data sharing, backup and other operations, where the data management of the container. The management of data currently provides the following two ways:#数据

Sometimes we need to perform a large-scale data test and insert a large amount of data into the database. There are three points to consider: [Protect existing data] This has two purposes: 1. We only want to test the inserted data. 2. After the test, we need to delete the data