1.5 Badger_ Fast Key-Value DB in GoBadger: Fast Key-Value DB in Go Manish R Jain, Dgraph Labs Apr 14,2018 Gopher China, Shanghai Dgraph Labs Fast, Distributed graph database. Sparse data sets. Lots of relationships. https://dgraph https://dgraph.io What is Badger? Badger is an embedded key-value database, written in Go. Licensed under Apache 2.0. Current Status Closing v2.0. Close to 3500 Github starts. 42 contributors. Used Go-IPFS, 0-stor, Sandglass. Serving 300TB (and growing) at Usenet Express Basic Operations Set a key-value func set() error { fmt.Println("\nRunning SET") return db.Update(func(txn *badger0 码力 | 74 页 | 1.70 MB | 1 月前3
SemEs1 09 Redis> Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams0 码力 | 24 页 | 1.29 MB | 1 月前3
SemEn 09 Redis836 Actions Projects 0 Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams0 码力 | 24 页 | 437.55 KB | 1 月前3
DeepSeek-V2: A Strong, Economical, and Efficient
Mixture-of-Experts Language Model(MLA) and DeepSeekMoE. MLA guarantees efficient inference through significantly compressing the Key-Value (KV) cache into a latent vector, while DeepSeekMoE enables training strong models at an economical Standard Multi-Head Attention 6 2.1.2 Low-Rank Key-Value Joint Compression 7 2.1.3 Decoupled Rotary Position Embedding 8 2.1.4 Comparison of Key-Value Cache 8 2.2 DeepSeekMoE: Training Strong Models Multi-head Latent Attention (MLA) and DeepSeekMoE. (1) In the context of attention mechanisms, the Key-Value (KV) cache of the Multi-Head Attention (MHA) (Vaswani et al., 2017) poses a significant obstacle0 码力 | 52 页 | 1.23 MB | 2 年前3
Hyperledger Fabric 1.3 Documentationhistory. The ledger has a replaceable data store for the world state. By default, this is a LevelDB key-value store database. The transaction log does not need to be pluggable. It simply records the before using chaincode transactions. Assets are represented in Hyperledger Fabric as a collection of key-value pairs, with state changes recorded as transactions on a Channel ledger. Assets can be represented other words, it's the business logic. Chaincode enforces the rules for reading or altering key-value pairs or other state database information. Chaincode functions execute against the ledger's0 码力 | 528 页 | 6.85 MB | 2 年前3
Hyperledger Fabric 1.2 Documentationhistory. The ledger has a replaceable data store for the world state. By default, this is a LevelDB key-value store database. The transaction log does not need to be pluggable. It simply records the before using chaincode transactions. Assets are represented in Hyperledger Fabric as a collection of key-value pairs, with state changes recorded as transactions on a Channel ledger. Assets can be represented other words, it's the business logic. Chaincode enforces the rules for reading or altering key-value pairs or other state database information. Chaincode functions execute against the ledger's0 码力 | 497 页 | 6.59 MB | 2 年前3
Hyperledger Fabric 1.2 Documentationhistory. The ledger has a replaceable data store for the world state. By default, this is a LevelDB key-value store database. The transaction log does not need to be pluggable. It simply records the before using chaincode transactions. Assets are represented in Hyperledger Fabric as a collection of key-value pairs, with state changes recorded as transactions on a Channel ledger. Assets can be represented other words, it's the business logic. Chaincode enforces the rules for reading or altering key-value pairs or other state database information. Chaincode functions execute against the ledger's0 码力 | 335 页 | 4.48 MB | 2 年前3
Hyperledger Fabric 1.3 Documentationhistory. The ledger has a replaceable data store for the world state. By default, this is a LevelDB key-value store database. The transaction log does not need to be pluggable. It simply records the before using chaincode transactions. Assets are represented in Hyperledger Fabric as a collection of key-value pairs, with state changes recorded as transactions on a Channel ledger. Assets can be represented other words, it's the business logic. Chaincode enforces the rules for reading or altering key-value pairs or other state database information. Chaincode functions execute against the ledger's0 码力 | 367 页 | 4.95 MB | 2 年前3
TiDB v5.1 Documentationare unique in the table. The type of all these IDs is int64. Each row of data is encoded as a key-value pair according to the following rule: Key: tablePrefix{tableID}_recordPrefixSep{rowID} Value: [col1 specific string constants, used to distinguish from other data in the KV space. For Index data, the key-value pair is encoded according to the following rule: Key: tablePrefix{tableID}_indexPrefixSep{inde is I/O, and you can try to set some parameters. By checking the prewrite/commit/raw-put (for raw key-value clusters only) of TiKV gRPC duration, you can determine that the bottleneck is indeed the slow TiKV0 码力 | 2745 页 | 47.65 MB | 2 年前3
Hyperledger Fabric 1.4 Documentation
history. The ledger has a replaceable data store for the world state. By default, this is a LevelDB key-value store database. The transaction log does not need to be pluggable. It simply records the before assets using chaincode transactions. Assets are represented in Hyperledger Fabric as a collection of key-value pairs, with state changes recorded as trans- actions on a Channel ledger. Assets can be represented asset(s); in other words, it’s the business logic. Chaincode enforces the rules for reading or altering key-value pairs or other state database information. Chaincode functions execute against the ledger’s current0 码力 | 461 页 | 7.37 MB | 2 年前3
共 1000 条
- 1
- 2
- 3
- 4
- 5
- 6
- 100
相关搜索词
Badgerkey-value DBLSM treevalue logGoRedisin-memory databasekey-valueStringsListsdata persistenceatomicityMulti-head Latent Attention (MLA)DeepSeekMoEMixture-of-Experts (MoE)Transformer architecturetraining efficiencyHyperledger Fabric升级指南链码身份管理隐私与保密性Private Data CollectionsAccess Control Lists (ACL)Service DiscoveryUpgradingPluggable endorsement and validationChaincode版本升级MSP(Membership Service Provider)Identity MixerTiDBCTETiKV兼容性BRv1.4私有数据操作改进Node.js SDK













