In Cassandra Wiki, it is said that there is a limit of 2 billion cells (rows x columns)
per partition. But it is unclear to me what is a partition?
Do we have one partition per node per column family, which would mean that the max size of a column family would be 2 billion cells * number of nodes
in the cluster.
Or will Cassandra create as much partitions as required to store all the data of a column family?
I am starting a new project so I will use Cassandra 2.0.
A partitioner is a function that hashes the partition key to generate a token. This token value represents a row and is used to identify the partition range it belongs to in a node. However, a Cassandra client sees the cluster as a unified whole database and communicates with it using a Cassandra driver library.
The maximum partition size in Cassandra should be under 100MB and ideally less than 10MB. Application workload and its schema design haves an effect on the optimal partition value. However, a maximum of 100MB is a rule of thumb.
Partition in Cassandra represent grouping of similar kind of rows. In Cassandra it is recommended to model your data such that you should have similar kind of rows fall in same partition. This is called wide partition pattern. Searching in Cassandra is super fast using partition key.
ByteOrderedPartitioner : In Cassandra Query Language Byte Ordered partitioner data distribute over cluster based on data lexically by key bytes.It is used for ordered partitioning in Cassandra Query Language. It is also useful for backward compatibility.
With the advent of CQL3 the terminology has changed slightly from the old thrift terms.
Basically
Create Table foo (a int , b int, c int, d int, PRIMARY KEY ((a,b),c))
Will make a CQL3 table. The information in a and b is used to make the partition key, this describes which node the information will reside on. This is the 'partiton' talked about in the 2 billion cell limit.
Within that partition the information will be organized by c, known as the clustering key. Together a,b and c, define a unique value of d. In this case the number of cells in a partition would be c * d. So in this example for any given pair of a and b there can only be 2 billion combinations of c and d
So as you model your data you want to ensure that the primary key will vary so that your data will be randomly distributed across Cassandra. Then use clustering keys to ensure that your data is available in the way you want it.
Watch this video for more info on Datmodeling in cassandra The Datamodel is Dead, Long live the datamodel
Create Table foo (a int , b int, c int, d int, e int, f int, PRIMARY KEY ((a,b),c,d))
Partitions will be uniquely identified by a combination of a and b.
Within a partition c and d will be used to order cells within the partition so the layout will look a little like:
(a1,b1) --> [c1,d1 : e1], [c1,d1 :f1], [c1,d2 : e2] ....
So in this example you can have 2 Billion cells with each cell containing:
So the 2 billion limit refers to the sum of unique tuples of (c,d,e)
and (c,d,f)
.
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