λ

02-01

sr-spill

02-01

presto-spill

10-08

135 转接 4433 镜头测试(基于 GFX)

05-17

Clickhouse storage 101

02-19

ClickHouse之Pipeline执行引擎

02-19

ClickHouse之聚合功能源码分析

02-17

sql-window

02-17

SQL 子查询的优化

02-10

CPP debug(GDB/LLDB)

02-02

Linux 性能调优

10-31

Grace Hash Join & Clickhouse merge join

10-26

Clickhouse aggregation 代码分析

10-15

Clickhouse pipeline/processor 源码解析 101

10-06

CPP 并发编程实战

10-05

C++ 右值/移动/完美转发

09-17

Mac initalization...

07-11

Presto Scheduler

05-01

SQL CTE 优化

04-25

Calcite Not in 转 cross join

02-09

Calcite Volcano Planner

02-08

Calcite - Parser 部分

02-07

Kylin 查询的基本流程

02-07

Paper

12-31

Spark bucketing Deep Dive

11-03

[整理] 磁盘 I/O

10-30

Spark Parquet file split

10-16

Spark MapOutputTracker Deep Dive

10-09

Callback 与 Coroutine 协程概念说明

07-19

Spark DateType/Timestamp cast 小结

03-29

Spark SQL Join Deep Dive

01-05

Linux 初养成

12-30

Maven 打包趟坑与解法

12-19

Spark PRC

11-02

大数据处理迷思

11-02

Hadoop MR 和 Spark 对比

11-01

Spark Paruqet Read Deep Dive

10-30

Learning Parquet

10-24

寻找 Spark executor 日志

10-24

Spark/MR Shuffle 对比

10-16

Spark map vs mapPartitions

10-06

Druid Storage 原理

08-26

Designing Data-Intensive Applications(Storage)

08-22

Parquet encoding definitions(official)

07-19

Elixir 基础部分

07-19

Spark Catalyst Deep Dive

07-19

Java Streaming Deep Dive