榜单
服务器优惠
AI论文
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Introduction
Log Engine Family Common Properties Differences Log Engine Family These engines were developed for scenarios when you need to quickly write many small tables (up to about 1 m... -
Decorrelation of Correlated Subquery
Decorrelation of Correlated Subquery Introduction Restrictions Example Decorrelation of Correlated Subquery Subquery related optimizations describes how TiDB handles subquer... -
Managing Data
Best Practices for Managing Data Best Practices for Loading Data Best Practices for Partitioning Data Deciding on a Table Partitioning Strategy Best Practices for Managing D... -
Hash
Hash Functions halfMD5 MD5 sipHash64 sipHash128 cityHash64 intHash32 intHash64 SHA1 SHA224 SHA256 URLHash(url[, N]) farmHash64 javaHash javaHashUTF16LE hiveHash metr... -
[Spark on Angel] Sparse LR with FTRL
[Spark on Angel] Sparse LR with FTRL 1. 算法原理 2. Async mini-batch FTRL 3. 运行和性能评测 References [Spark on Angel] Sparse LR with FTRL 目前很多CTR预估的业务场景中，不仅训练样本规模达到10亿级别，而且特征的规模也达到十... -
enum
enum extern enum Enum Literals Non-exhaustive enum enum enums.zig const expect = @import ( "std" ). testing . expect ; const mem = @import ( "std" ). mem ; //... -
Array
Array(t) Creating an Array Working with Data Types Array(t) An array of T -type items. T can be any data type, including an array. Creating an Array You can use a functio... -
Array(T)
Array(t) Creating an Array Working with Data Types Array(t) An array of T -type items. T can be any data type, including an array. Creating an Array You can use a functio... -
[Spark on Angel] Sparse LR with FTRL
[Spark on Angel] Sparse LR with FTRL 1. 算法原理 2. Async mini-batch FTRL 3. 运行和性能评测 References [Spark on Angel] Sparse LR with FTRL 目前很多CTR预估的业务场景中，不仅训练样本规模达到10亿级别，而且特征的规模也达到十... -
Selecting multiple records
Selecting multiple records Iterating over large result-sets Selecting multiple records We can use Model.select() to retrieve rows from the table. When youconstruct a SELECT ...