Spark Source Learning and Summary 1

One. Spark Source code compilation

Analytical:

wget http://archive.apache.org/dist/spark/spark-1.6.0/spark-1.6.0-bin-hadoop2.6-ZXVF spark-1.6.0-bin-hadoop2.6. TGZCD Spark-1.6.0-bin-hadoop2.6. /SBT/SBT Gen-idea

Description: After a lengthy wait, the above command generates the SBT project, and we can use the idea to open in SBT project mode.

Two. Detailed RDD implementation

You can persist Rdd,cache () by using the persist () or the cache () method as a shortcut to use persist (). To avoid the overhead of cache loss recalculation, we can use the checkpoint mechanism of spark so that when the downstream rdd goes wrong, you can continue to compute from the checkpoint Rdd.

Three. Scheduler module detailed

Four. Deploy module detailed

Five. Executor module detailed

Six. Shuffle module detailed

Seven. Storage module detailed

Reference documents:

[1] Scala Tutorial: Simple Build Tool sbt:http://www.importnew.com/4311.html

[2] Spark's cache and checkpoint:http://www.fuqingchuan.com/2015/06/949.html?utm_source=tuicool&utm_medium= Referral

[3] Spark Technology Insider: An in-depth understanding of the design and implementation principles of spark kernel architecture

Spark Source Learning and Summary 1