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columnar    
a. 圆柱的,圆筒形的,分纵栏印刷或书写的

圆柱的,圆筒形的,分纵栏印刷或书写的

columnar
adj 1: having the form of a column; "trees with columniform
trunks"; "columnar forms"; "a columnlike tree trunk"
[synonym: {columniform}, {columnar}, {columnlike}]
2: characterized by columns; "columnar construction"


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  • sql - What is a columnar database? - Stack Overflow
    Also, Columnar DBs have a built in affinity for data compression, and the loading process is unique Here's an article I wrote in 2008 that explains a bit more You may also be interested in a new report from IDC's Carl Olofson on 3rd generation DBMS technology It discusses columnar, et al If you're not an IDC client you can get it free on
  • rdbms - Whats the difference between NoSQL and a Column-Oriented . . .
    Some NoSQL databases are column-oriented databases, and some SQL databases are column-oriented as well Whether the database is column or row-oriented is a physical storage implementation detail of the database and can be true of both relational and non-relational (NoSQL) da
  • snowflake cloud data platform - What is hybrid-columnar storage . . .
    Hybrid Columnar Storage combines elements of both row-based and columnar storage models, aiming to balance the benefits of both approaches This model provides flexibility and performance for mixed transactional and analytical workloads The implementation of hybrid columnar storage can vary widely, and some notable examples include: Snowflake
  • What are the intended uses of a columnar database?
    One big issue with columnar databases is inserting a new row (or deleting a row), because this requires touching all the columns That makes ensuring ACID properties trickier There are definitely some SELECT queries that may not perform as well in a columnar database as in other databases But they do surprisingly well at increasing the
  • What are the pros and cons of the Apache Parquet format compared to . . .
    Columnar is great when your input side is large, and your output is a filtered subset: from big to little is great Not as beneficial when the input and outputs are about the same But in our case, Impala took our old Hive queries that ran in 5, 10, 20 or 30 minutes, and finished most in a few seconds or a minute
  • Is Cassandra a column oriented or columnar database
    Columnar database should store group of columns together But Cassandra stores data row-wise SS Table will hold multiple rows of data mapped to their corresponding partition key So I feel like
  • amazon redshift - Data modeling in columnar database vs multi . . .
    Columnar database does promote flat table design, yet admits that star schema or snowflake could be a better choice for some cases Here is a simple example of where I am struggling As you can see multi-dimensional approach have few dimensions and 1 fact table
  • Wide column vs column family vs columnar vs column oriented DB . . .
    On the other hand, the term columnar DB is the same as column-oriented DB They are stored on disk one column at a time, not one row at a time It is great for time series or any multi series analytical purpose The fact each column has the same type of data and is stored together allows for better data compression as an added bonus an example:
  • sql - How does columnar database optimization differ from relational . . .
    At a high level, the difference between relational and columnar databases is in how the data is stored Relational DB's store records by the row, columnar by the column For example: Records: Name ID number zip code smith 4444 98210 jones 1234 10125
  • Scenario for Document vs Columnar DBs - Stack Overflow
    NoSQL databases can be categorized as KV, Document, Columnar and Graph I had been trying to figure out which NoSQL to use for different scenario, read a couple of blogs articles and am a still confused Lets say I want to store the Employee details It can be stored in a Columnar DB like HBase and a Document DB like Mongo





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