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Posted to commits@pinot.apache.org by jl...@apache.org on 2019/02/05 23:56:13 UTC
[incubator-pinot.wiki] branch master updated: Updated Pinot Core
Concepts and Terminology (markdown)
This is an automated email from the ASF dual-hosted git repository.
jlli pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-pinot.wiki.git
The following commit(s) were added to refs/heads/master by this push:
new 44d95f8 Updated Pinot Core Concepts and Terminology (markdown)
44d95f8 is described below
commit 44d95f8a4c418191a04ea62be93e382d4b6f6cfc
Author: Jialiang Li <jl...@linkedin.com>
AuthorDate: Tue Feb 5 15:56:12 2019 -0800
Updated Pinot Core Concepts and Terminology (markdown)
---
Pinot-Core-Concepts-and-Terminology.md | 6 +++---
1 file changed, 3 insertions(+), 3 deletions(-)
diff --git a/Pinot-Core-Concepts-and-Terminology.md b/Pinot-Core-Concepts-and-Terminology.md
index 4ec30f8..fa80e17 100644
--- a/Pinot-Core-Concepts-and-Terminology.md
+++ b/Pinot-Core-Concepts-and-Terminology.md
@@ -6,9 +6,9 @@ Document is the basic unit of data that defines a single row in the entire data
**Block**
-A set of Documents form a Block. This forms the basic unit of processing within Pinot. Within Pinot, size of Block is fixed e.g. 10k. Abstraction of Block allows us to
+A set of Documents form a Block. This forms the basic unit of processing within Pinot. Within Pinot, size of Block is fixed e.g. 10k. Abstraction of Block allows us to:
-* Block level compression
+* Block level compression.
* Maintain additional metadata such as min, max, bloom filter etc on a per block basis. This allows us to filter blocks quickly while scanning.
* While processing we load data corresponding to the block completely into memory. Processing a block at once is very efficient (CPU cache and vectorization).
@@ -20,7 +20,7 @@ A group of blocks form a Segment/Slice. Each slice/segment is physically represe
**Table**
-A table abstraction encapsulates all data for a given schema name. This is a logical entity that comprises of physical segment files that are distributed across various machines
+A table abstraction encapsulates all data for a given schema name. This is a logical entity that comprises of physical segment files that are distributed across various machines.
**Resource**
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