I am new to NoSQL database and have just started using apache Cassandra. I created a simple table "emp" with primary key on "empno" column. This is a simple table as we always get in Oracle's default scott schema.
Now I loaded data using the COPY
command and issued query Select * from emp order by empno
but I was surprised that CQL did not allow Order by on empno
column (which is PK). Also when I used Where
condition, it did not allow any inequality operations on empno column (it said only EQ or IN conditions are allowed). It also did not allowed Where and Order by on any other column, as they were not used in PK, and did not have an index.
Can someone please help me what should I do if I want to keep empno
unique in the table and want a query results in Sorted order of empno
?
(My version is:
cqlsh:demodb> show version
[cqlsh 5.0.1 | Cassandra 2.2.0 | CQL spec 3.3.0 | Native protocol v4]
)
A Syntax of ORDERBY Clause:SELECT<field name>FROM<table name>ORDERBY<identifier>; SELECT<field name>FROM<table name>ORDERBY<identifier>; SELECT<field name>FROM<table name>ORDERBY<identifier>; Example: In this example, we will arrange the table according to a phone number.
You can fine-tune the display order using the ORDER BY clause. The partition key must be defined in the WHERE clause and the ORDER BY clause defines the clustering column to use for ordering. cqlsh> CREATE TABLE cycling.
CQL does not support wildcard queries. CQL does not support Union, Intersection queries. Table columns cannot be filtered without creating the index. Greater than (>) and less than (<) query is only supported on clustering column.
Cassandra supports sorting using the clustering columns. When you create a table, you can define clustering columns which will be used to sort the data inside each partition in either ascending or descending orders. Then you can easily use the ORDER BY clause with the ASC or DESC options.
There are two parts to a PRIMARY KEY in Cassandra:
PRIMARY KEY (partitionKey1,clusteringKey1,clusteringKey2)
or
PRIMARY KEY ((partitionKey1,partitionKey2),clusteringKey1,clusteringKey2)
The partition key determines which node(s) your data is stored on. The clustering key determines the order of the data within your partition key.
In CQL, the ORDER BY
clause is really only used to reverse the defined sort direction of your clustering order. As for the columns themselves, you can only specify the columns defined (and in that exact order...no skipping) in your CLUSTERING ORDER BY
clause at table creation time. So you cannot pick arbitrary columns to order your result set at query-time.
Cassandra achieves performance by using the clustering keys to sort your data on-disk, thereby only returning ordered rows in a single read (no random reads). This is why you must take a query-based modeling approach (often duplicating your data into multiple query tables) with Cassandra. Know your queries ahead of time, and build your tables to serve them.
Select * from emp order by empno;
First of all, you need a WHERE
clause. It's ok to query without it, if you're working with a relational database. With Cassandra, you should do your best to avoid unbound SELECT
queries. Besides, Cassandra can only enforce a sort order within a partition, so querying without a WHERE
clause won't return data in the order you want, anyway.
Secondly, as I mentioned above, you need to define clustering keys. If you want to order your result set by empno
, then you must find another column to define as your partition key. Try something like this:
CREATE TABLE emp_by_dept (
empno text,
dept text,
name text,
PRIMARY KEY (dept,empno)
) WITH CLUSTERING ORDER BY (empno ASC);
Now, I can query employees by department, and they will be returned to me ordered by empno
:
SELECT * FROM emp_by_dept WHERE dept='IT';
But to be clear, you will not be able to query every row in your table, and have it ordered by a single column. The only way to get meaningful order into your result sets, is first partition your data in a way that makes sense to your business case. Running an unbound SELECT
will return all of your rows (assuming that the query doesn't time-out while trying to query every node in your cluster), but result set ordering can only be enforced within a partition. So you have to restrict by partition key in order for that to make any sense.
My apologies for self-promoting, but last year I wrote an article for DataStax called We Shall Have Order!, in which I addressed how to solve these types of problems. Give it a read and see if it helps.
Edit for additional questions:
From your answer I concluded 2 things about Cassandra:
(1) There is no way of getting a result set which is only order by a column that has been defined as Unique.
(2) When we define a PK (partition-key+clustering-key), then the results will always be order by Clustering columns within any fixed partition key (we must restrict to one partition-key value), that means there is no need of ORDER BY clause, since it cannot ever change the order of rows (the order in which rows are actually stored), i.e. Order By is useless.
1) All PRIMARY KEYs in Cassandra are unique. There's no way to order your result set by your partition key. In my example, I order by empno
(after partitioning by dept). – Aaron 1 hour ago
2) Stopping short of saying that ORDER BY is useless, I'll say that its only real use is to switch your sort direction between ASC and DESC.
I created an index on "empno" column of "emp" table, it is still not allowing ORDER BY empno. So, what Indexes are for? are they only for searching records for specific value of index key?
You cannot order a result set by an indexed column. Secondary indexes are (not the same as their relational counterparts) really only useful for edge-case, analytics-based queries. They don't scale, so the general recommendation is not to use secondary indexes.
Ok, that simply means that one table cannot be used for getting different result sets with different conditions and different sorting order.
Correct.
Hence for each new requirement, we need to create a new table. IT means if we have a billion rows in a table (say Sales table), and we need sum of sales (1) Product-wise, (2) Region-wise, then we will duplicate all those billion rows in 2 tables with one in clustering order of Product, the other in clustering order of Region,. and even if we need to sum sales per Salesman_id, then we build a 3rd table, again putting all those billion rows? is it sensible?
It's really up to you to decide how sensible it is. But lack of query flexibility is a drawback of Cassandra. To get around it you can keep creating query tables (I.E., trading disk for performance). But if it gets to a point where it becomes ungainly or difficult to manage, then it's time to think about whether or not Cassandra is really the right solution.
EDIT 20160321
Hi Aaron, you said above "Stopping short of saying that ORDER BY is useless, I'll say that its only real use is to switch your sort direction between ASC and DESC."
But i found even that is not correct. Cassandra only allows ORDER by in the same direction as we define in the "CLUSTERING ORDER BY" caluse of CREATE TABLE. If in that clause we define ASC, it allows only order by ASC, and vice versa.
Without seeing an error message, it's hard to know what to tell you on that one. Although I have heard of queries with ORDER BY
failing when you have too many rows stored in a partition.
ORDER BY
also functions a little odd if you specify multiple columns to sort by. If I have two clustering columns defined, I can use ORDER BY
on the first column indiscriminately. But as soon as I add the second column to the ORDER BY
clause, my query only works if I specify both sort directions the same (as the CLUSTERING ORDER BY
definition) or both different. If I mix and match, I get this:
InvalidRequest: code=2200 [Invalid query] message="Unsupported order by relation"
I think that has to do with how the data is stored on-disk. Otherwise Cassandra would have more work to do in preparing result sets. Whereas if it requires everything to either to match or mirror the direction(s) specified in the CLUSTERING ORDER BY
, it can just relay a sequential read from disk. So it's probably best to only use a single column in your ORDER BY
clause, for more predictable results.
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