I am quite a n00b in Cassandra (I'm mainly from an RDBMS background with some NoSQL here and there, like Google's BigTable and MongoDB) and I'm struggling with the data modelling for the use cases I'm trying to satisfy. I looked at this and this and even this but they're not exactly what I needed.
I have this basic table:
CREATE TABLE documents (
itemid_version text,
xml_payload text,
insert_time timestamp,
PRIMARY KEY (itemid_version)
);
itemid
is actually a UUID (and unique for all documents), and version
is an int (version 0 is the "first" version). xml_payload
is the full XML doc, and can get quite big. Yes, I'm essentially creating a versioned document store.
As you can see, I concatenated the two to create a primary key and I'll get to why I did this later as I explain the requirements and/or use cases:
I will be writing the client code that will perform the use cases, please excuse the syntax as I'm trying to be language-agnostic
first one's straightforward:
$itemid_version = concat($itemid, $version)
$doc = csql("select * from documents where itemid_version = {0};"
-f $itemid_version)
now to satisfy the 2nd and 3rd use cases, I am adding the following table:
CREATE TABLE document_versions (
itemid uuid,
version int,
PRIMARY KEY (itemid, version)
) WITH clustering order by (version DESC);
new records will be added as new docs and new versions of existing docs are created
now we have this (use case #2):
$latest_itemid, $latest_version = csql("select itemid,
version from document_versions where item_id = {0}
order by version DESC limit 1;" -f $itemid)
$itemid_version = concat($latest_itemid, $latest_version)
$doc = csql("select * from documents where itemid_version = {0};"
-f $itemid_version)
and this (use case #3):
$versions = csql("select version from document_versions where item_id = {0}"
-f $itemid)
for the 3rd requirement, I am adding yet another table:
CREATE TABLE latest_documents (
itemid uuid,
version int,
PRIMARY KEY (itemid, version)
)
records are inserted for new docs, records are updated for existing docs
and now we have this:
$latest_itemids, $latest_versions = csql("select itemid, version
from latest_documents where item_id in ({0})" -f $itemid_list.toCSV())
foreach ($one_itemid in $latest_itemids, $one_version in $latest_versions)
$itemid_version = concat($latest_itemid, $latest_version)
$latest_docs.append(
cql("select * from documents where itemid_version = {0};"
-f $itemid_version))
Now I hope it's clear why I concatenated itemid
and version
to create an index for documents
as opposed to creating a compound key: I cannot have OR
in the WHERE
clause in SELECT
You can assume that only one process will do the inserts/updates so you don't need to worry about consistency or isolation issues.
Am I on the right track here? there are quite a number of things that doesn't sit well with me...but mainly because I don't understand Cassandra yet:
documents
should be a composite of (itemid, version) but I can't satisfy use case #4 (return a list from a query)...I can't possibly use a separate SELECT statement for each document due to the performance hit (network overhead)...or can (should) I?default_time_to_live. 0. Set this property in MapReduce scenarios when you have no control of TTL. The value of this property is a number of seconds. If it is set, Cassandra applies a default TTL marker to each column in the table, set to this value.
A Cassandra column family consists of a collection of ordered columns in rows which represent a structured version of the stored data.
Cassandra has a flexible schema. Database is the outermost container that contains data corresponding to an application. Keyspace is the outermost container that contains data corresponding to an application.
When a write occurs, Cassandra stores the data in a memory structure called memtable, and to provide configurable durability, it also appends writes to the commit log on disk. The commit log receives every write made to a Cassandra node, and these durable writes survive permanently even if power fails on a node.
How would this work Dexter?
It is actually very similar to your solution actually except you can store all versions and be able to fetch the 'latest' version just from one table (document_versions).
In most cases I think you can get what you want in a single SELECT except use case #2 where fetching the most recent version of a document where a pre SELECT is needed on document_versions first.
SECOND ATTEMPT
(I removed the code from the first attempt, apologies to anyone who was following in the comments).
CREATE TABLE documents (
itemid_version text,
xml_payload text,
insert_time timestamp,
PRIMARY KEY (itemid_version)
);
CREATE TABLE document_versions (
itemid text,
version int,
PRIMARY KEY (itemid, version)
) WITH CLUSTERING ORDER BY (version DESC);
INSERT INTO documents (itemid_version, xml_payload, insert_time) VALUES ('doc1-1', '<?xml>1st</xml>', '2014-05-21 18:00:00');
INSERT INTO documents (itemid_version, xml_payload, insert_time) VALUES ('doc1-2', '<?xml>2nd</xml>', '2014-05-21 18:00:00');
INSERT INTO documents (itemid_version, xml_payload, insert_time) VALUES ('doc2-1', '<?xml>1st</xml>', '2014-05-21 18:00:00');
INSERT INTO documents (itemid_version, xml_payload, insert_time) VALUES ('doc2-2', '<?xml>2nd</xml>', '2014-05-21 18:00:00');
INSERT INTO document_versions (itemid, version) VALUES ('doc1', 1);
INSERT INTO document_versions (itemid, version) VALUES ('doc1', 2);
INSERT INTO document_versions (itemid, version) VALUES ('doc2', 1);
INSERT INTO document_versions (itemid, version) VALUES ('doc2', 2);
user needs to get the single (1) doc he wants, he knows the item id and version (not necessarily the latest)
SELECT * FROM documents WHERE itemid_version = 'doc1-2';
user needs to get the single (1) doc he wants, he knows the item id but does not know the latest version (You would feed concatenated itemid + version in result of first query into second query)
SELECT * FROM document_versions WHERE itemid = 'doc2' LIMIT 1;
SELECT * FROM documents WHERE itemid_version = 'doc2-2';
user needs the version history of a single (1) doc.
SELECT * FROM document_versions WHERE itemid = 'doc2';
user needs to get the list (1 or more) of docs he wants, he knows the item id AND version (not necessarily the latest)
SELECT * FROM documents WHERE itemid_version IN ('doc1-2', 'doc2-1');
Cheers,
Lets see if we can come up with a model in a top down fashion starting from your queries:
CREATE TABLE document_versions (
itemid uuid,
name text STATIC,
vewrsion int,
xml_payload text,
insert_time timestamp,
PRIMARY KEY ((itemid), version)
) WITH CLUSTERING ORDER BY (version DESC);
Use case 1: user needs to get the single (1) doc he wants, he knows the item id and version (not necessarily the latest)
SELECT * FROM document_versions
WHERE itemid = ? and version = ?;
Use case 2: user needs to get the single (1) doc he wants, he knows the item id but does not know the latest version
SELECT * FROM document_versions
WHERE itemid = ? limit 1;
Use case 3: user needs the version history of a single (1) doc.
SELECT * FROM document_versions
WHERE itemid = ?
Use case 4: user needs to get the list (1 or more) of docs he wants, he knows the item id AND version (not necessarily the latest)
SELECT * FROM documents
WHERE itemid = 'doc1' and version IN ('1', '2');
One table for all these queries is the correct approach. I would suggest taking the Datastax free online course: DS220 Data Modeling
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