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Posted to commits@cassandra.apache.org by "DOAN DuyHai (JIRA)" <ji...@apache.org> on 2015/09/30 13:00:08 UTC
[jira] [Commented] (CASSANDRA-7062) Extension of static columns for
compound cluster keys
[ https://issues.apache.org/jira/browse/CASSANDRA-7062?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14936709#comment-14936709 ]
DOAN DuyHai commented on CASSANDRA-7062:
----------------------------------------
Now that [CASSANDRA-8099] is done, can we look again into this JIRA ?
I have a very relevant use-case for a customer. They want to store store an hierarchy of data for user expenses:
{code:sql}
CREATE TABLE user_expenses(
user_id bigint,
firstname text static,
lastname text static,
report_id uuid,
report_title text,
report_amount double,
report_xxx ....
...,
line_id uuid,
line_item text,
line-amount double,
...
PRIMARY KEY((user_id), report_id, line_id)
)
{code}
So basically we have 2 levels of nesting:
1 user - N reports
1 report - N lines
With the above data model, all report data are *duplicated* for each line so that any update on report_title or other report property will require the *anti-pattern read-before-write*:
1. Select all line_id for this report_id
2. For each line_id, perform the update
One possible trick is to use a static map<report_id, report_property> but it's far from being elegant, not to say dirty.
So I believe that there is definitely a need for static columns that are *relative* to a clustering column.
> Extension of static columns for compound cluster keys
> -----------------------------------------------------
>
> Key: CASSANDRA-7062
> URL: https://issues.apache.org/jira/browse/CASSANDRA-7062
> Project: Cassandra
> Issue Type: New Feature
> Reporter: Constance Eustace
>
> CASSANDRA-6561 implemented static columns for a given partition key.
> What this is proposing for a compound cluster key is a static column that is static at intermediate parts of a compound cluster key. This example shows a table modelling a moderately complex EAV pattern :
> {code}
> CREATE TABLE t (
> entityID text,
> propertyName text,
> valueIndex text,
> entityName text static (entityID),
> propertyType text static (entityID, propertyName),
> propertyRelations List<text> static (entityID, propertyName),
> data text,
> PRIMARY KEY (entityID, (propertyName,valueIndex))
> )
> {code}
> So in this example has the following static columns:
> - the entityName column behaves exactly as CASSANDRA-6561 details, so all cluster rows have the same value
> - the propertyType and propertyRelations columns are static with respect to the remaining parts of the cluster key (that is, across all valueIndex values for a given propertyName), so an update to those values for an entityID and a propertyName will be shared/constant by all the value rows...
> Is this a relatively simple extension of the same mechanism in -6561, or is this a "whoa, you have no idea what you are proposing"?
> Sample data:
> Mary and Jane aren't married...
> {code}
> INSERT INTO t (entityID, entityName, propertyName, propertyType, valueIndex, data) VALUES ('0001','MARY MATALIN','married','SingleValue','0','false');
> INSERT INTO t (entityID, entityName, propertyName, propertyType, valueIndex, data) VALUES ('0002','JANE JOHNSON','married','SingleValue','0','false');
> INSERT INTO t (entityID, entityName, propertyName, propertyType, valueIndex) VALUES ('0001','MARY MATALIN','kids','NOVALUE','');
> INSERT INTO t (entityID, entityName, propertyName, propertyType, valueIndex) VALUES ('0002','JANE JOHNSON','kids','NOVALUE','');
> {code}
> {code}
> SELECT * FROM t:
> 0001 MARY MATALIN married SingleValue 0 false
> 0001 MARY MATALIN kids NOVALUE null
> 0002 JANE JOHNSON married SingleValue 0 false
> 0002 JANE JOHNSON kids NOVALUE null
> {code}
> Then mary and jane get married (so the entityName column that is static on the partition key is updated just like CASSANDRA-6561 )
> {code}
> INSERT INTO t (entityID, entityName, propertyName, propertyType, valueIndex, data) VALUES ('0001','MARY SMITH','married','SingleValue','0','TRUE');
> INSERT INTO t (entityID, entityName, propertyName, propertyType, valueIndex, data) VALUES ('0002','JANE JONES','married','SingleValue','0','TRUE');
> {code}
> {code}
> SELECT * FROM t:
> 0001 MARY SMITH married SingleValue 0 TRUE
> 0001 MARY SMITH kids NOVALUE null
> 0002 JANE JONES married SingleValue 0 TRUE
> 0002 JANE JONES kids NOVALUE null
> {code}
> Then mary and jane have a kid, so we add another value to the kids attribute:
> {code}
> INSERT INTO t (entityID, propertyName, propertyType, valueIndex,data) VALUES ('0001','kids','SingleValue','0','JIM-BOB');
> INSERT INTO t (entityID, propertyName, propertyType, valueIndex,data) VALUES ('0002','kids','SingleValue','0','JENNY');
> {code}
> {code}
> SELECT * FROM t:
> 0001 MARY SMITH married SingleValue 0 TRUE
> 0001 MARY SMITH kids SingleValue null
> 0001 MARY SMITH kids SingleValue 0 JIM-BOB
> 0002 JANE JONES married SingleValue 0 TRUE
> 0002 JANE JONES kids SingleValue null
> 0002 JANE JONES kids SingleValue 0 JENNY
> {code}
> Then Mary has ANOTHER kid, which demonstrates the partially static column relative to the cluster key, as ALL value rows for the property 'kids' get updated to the new value:
> {code}
> INSERT INTO t (entityID, propertyName, propertyType, valueIndex,data) VALUES ('0001','kids','MultiValue','1','HARRY');
> {code}
> {code}
> SELECT * FROM t:
> 0001 MARY SMITH married SingleValue 0 TRUE
> 0001 MARY SMITH kids MultiValue null
> 0001 MARY SMITH kids MultiValue 0 JIM-BOB
> 0001 MARY SMITH kids MultiValue 1 HARRY
> 0002 JANE JONES married SingleValue 0 TRUE
> 0002 JANE JONES kids SingleValue null
> 0002 JANE JONES kids SingleValue 0 JENNY
> {code}
> ... ok, hopefully that example isn't TOO complicated. Yes, there's a stupid hack bug in there with the null/empty row for the kids attribute, but please bear with me on that
> Generally speaking, this will aid in flattening / denormalization of relational constructs into cassandra-friendly schemas. In the above example we are flattening a relational schema of three tables: entity, property, and value tables into a single sparse flattened denormalized compound table.
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