Perfomance issue with N1QL self join


I am suffering with the performance of N1QL query where I have a self join on a key which is indexed.
There are two kinds of documents (A & B say ) with in same bucket. Both has the common key to be used to join them. B is having some columns which are not in A and I am using aggregate functions ( sum for e.g ) on B’s document.
I have 2 million documents in 8GB each node ( 3 * 8 GB per cluster ). So there is enough space.
I am getting output in sever minutes like 22 minutes.
I have also index created on the join key.
What could be the issue.


Please post the query. Thanks.



IFNULL(N.No_,"") AS No_,
IFNULL(N.Name,"") AS Name,
IFNULL(N.Income_Balance,0) AS Income_Balance,
IFNULL(N.Account Type,0) AS AccountType,
IFNULL(N.Totaling ,"") AS Totaling,
IFNULL(N.Gen_ Bus_ Posting Group ,"") AS Gen_ Bus_ Posting Group,
IFNULL(N.Gen_ Prod_ Posting Group ,"") AS Gen_ Prod_ Posting Group,
IFNULL(N.Consol_ Debit Acc_ ,"") AS Consol_ Debit Acc_,
IFNULL(N.Consol_ Credit Acc_ ,"") AS Consol_ Credit Acc_,
IFNULL(N.Consol_ Translation Method,0) AS Consol_ Translation Method,
IFNULL(N.Cost Type No_ ,"") AS Cost Type No_,
IFNULL(N.Default IC Partner G_L Acc_ No ,"") AS Default IC Partner G_L Acc_ No,
IFNULL(N.Direct Posting,0) AS Direct Posting,
IFNULL(N.VAT Bus_ Posting Group ,"") AS VAT Bus_ Posting Group,
IFNULL(N.VAT Prod_ Posting Group ,"") AS VAT Prod_ Posting Group,
IFNULL(N.Search Name ,"") AS Search Name,
IFNULL(N.Global Dimension 1 Code ,"") AS Global Dimension 1 Code,
IFNULL(N.Global Dimension 2 Code ,"") AS Global Dimension 2 Code,
IFNULL(N.Debit_Credit,0) AS Debit_Credit,
IFNULL(N.No_ 2 ,"") AS No_ 2,
IFNULL(N.Blocked,0) AS Blocked,
IFNULL(N.Reconciliation Account,0) AS Reconciliation Account,
IFNULL(N.New Page,0) AS New Page,
IFNULL(N.No_ of Blank Lines,0) AS No_ of Blank Lines,
IFNULL(N.Indentation,0) AS Indentation,
IFNULL(N.Last Date Modified,“1753-01-01 00:00:00”) AS Last Date Modified,
IFNULL(N.Automatic Ext_ Texts,0) AS Automatic Ext_ Texts,
IFNULL(N.Tax Area Code ,"") AS Tax Area Code,
IFNULL(N.Tax Liable,0) AS Tax Liable,
IFNULL(N.Tax Group Code ,"") AS Tax Group Code,
IFNULL(N.Exchange Rate Adjustment,0) AS Exchange Rate Adjustment,
IFNULL(N.Service Tax Group Code ,"") AS Service Tax Group Code,
IFNULL(N.FBT Group Code ,"") AS FBT Group Code,
IFNULL(N.Excise Prod_ Posting Group ,"") AS Excise Prod_ Posting Group,
IFNULL(N.Capital Item,0) AS Capital Item,
IFNULL(N.Group Balances,0) AS Group Balances,
IFNULL(N.Deferred G_L ,"") AS Deferred G_L,
IFNULL(N.TDS Applicable,0) AS TDS Applicable,
IFNULL(Sum(X.Debit Amount),0) as Debit Amount,
IFNULL(Sum(X.Credit Amount),0) as Credit Amount,
IFNULL(Sum(X.Net Change),0) as Net Change,
IFNULL(Sum(X.Balance),0) as Balance,
IFNULL(Sum(X.Balance at Date),0) as Balance at Date,
IFNULL(Sum(X.Add_-Currency Balance at Date),0) as Add_-Currency Balance at Date,
IFNULL(Sum(X.Additional-Currency Balance),0) as Additional-Currency Balance,
IFNULL(Sum(X.Additional-Currency Net Change),0) as Additional-Currency Net Change
from NAV X
Join NAV N
On KEYS [X.No_]
Where N.No_ = '122537’
Group by X.No_

and we even if I don’t do join here. Query is simply taking munutes ( 16m ) to execute.
I have Primary index created on No_
Please do let me know if you see something obvious here.
indexer is taking 200% cpu on 3 nodes and cbq-engine also takes 150% cpu


My server is Version: 4.1.0-5005 Enterprise Edition (build-5005)
when I do ‘top’ I could see indexer is always running consuming 100% of cpu ? why is it so.


Any solution guys ? Will really leave N1QL as solution if this is not going to give me sub second response.


Hi Siddhartha,

I’m not good with N1QL, so I might be wrong, but it looks like you could also use a mapreduce view to solve your problem. I also don’t know what at Date does, so I don’t know if mapreduce views can do it. But for the rest, it would look like that:

The map function:

function(doc) {
    // 1 == Debit Amount
    // 2 == Credit Amount
    // 3 == Net Change
    // 4 == Balance
    // 5 == Additional-Currency Balance
    // 6 == Additional-Currency Net Change
    if (doc['Debit Amount'] !== undefined) {
        emit([doc.No_, 1], doc['Debit Amount']);
    if (doc['Credit Amount'] !== undefined) {
        emit([doc.No_, 2], doc['Credit Amount']);

Your reduce function would be _sum.

Your query parameters would then be:




Hi @singh_siddhu,

Can you tell us which document has No_ as a primary key, and which one has No_ as a foreign key? I masking about N and X. That is, do the N documents have No_ as primary key, or do the X documents have No_ as a primary key?



In N it is primary key, and X it is foreign key that is why aggregate functions are applied on X’s column because there would be multiple rows for each Key of N in X . i.e., 1 : N ratio between N and X documents.


Ok, thank you. We are taking a look.


Hi Siddhu,

You’re joining NAV X JOIN NAV N.
You have a filter on “NAV N”: WHERE N.No_ = '122537’
You have a primary index created on the bucket.

That means, the engine (query plan) will scan the full bucket NAV X and for each document, it looks for the field X.No_ and tries to match with “NAV N”.
The filter N.No_ = ‘122537’ is applies ONLY AFTER THE JOIN.

To improve the performance, you’ve to filter the documents early (during the scan of NAV X).

If X.No_ is the foreign key for N.No_ and the document ID has the same value,
1. You can simply apply the predicate to X.No.
2. Create a secondary index on NAV(No_)


If you have type field defined within each doc to differentiate between parent & child, you can can use that in the query and add WHERE clause to the index as well.

SELECT blah…
WHERE X.type = ‘X’ and X.No_ = 122537’


I will try this as well. But didn’t understand this “and the document ID has the same value”, how can two different documents will have document ID same ? I already described earlier that keys are unique for each document.


Also how to make sure that out of 3 nodes in the cluster only 2 are data nodes and 1 is for query ?


Above mentioned help didn’t work out. It is taking 34 seconds for just 50K documents.


When you add a node to the cluster, you can choose which services you want to enable on it. There you can specify Data and/or Index and/or Query. For the rest of the performance related work I leave you in the capable hands of @keshav_m and @geraldss.


Thanks @daschl , this is a great help. Now I am going to do that first. Cheers


So now I have 1 data node , 1 query node and 1 index node. Still I am getting result set which is too slow.
Total 50K documents, total time it took : 12.267031445s

There is no join now. Querying using only 1 type of document

Query :
X.No_ AS No_,
IFNULL(Sum(X.Balance),0) as Balance
from NAV X
Where X.Type = "GLEntry"
Group by X.No_

Indexes are :
b) CREATE INDEX idx_GLE_Balance ON NAV(Balance) USING GSI WITH {“nodes”:“”};
c) CREATE INDEX idx_GLE_Type ON NAV(Type) WHERE (Type = “GLEntry”) USING GSI WITH {“nodes”:“”};

Query I am running using workbench :
Running: ./cbq-gui -datastore= -localPort=:8094 -user= -pass=
Launching query web service.
Using CB Server at:
Using N1QL query service on:
Using memcached service on:
Using web content at: ./static
Launching UI server, to use, point browser at http://localhost:8094
Hit enter to stop server:

Just wanted to know if this is the best I can get from N1QL ? Please let me know your input @geraldss @keshav_m.


@singh_siddhu, did you get on Skype with @keshav_m?


sorry don’t know his skype id. I have sent mine to him in personal message @geraldss, @keshav_m.


Hi @singh_siddhu,

I sent you another message yesterday with the info yesterday.
my skypeid is: rkeshavmurthy

Here’s the advice for you to get the best performance.

  1. CREATE INDEX idx_gle_type_balance ON NAV(No_, Balance) WHERE (Type = ‘GLEntry’) USING GSI;

Then you issue:
X.No_ AS No_,
IFNULL(Sum(X.Balance),0) as Balance
from NAV X
Where X.Type = "GLEntry"
Group by X.No_;

Remember, in this case, you’re doing the full index scan followed by grouping & aggregation.
The cost of executing this query is proportional to number of entries in the index.

Please post the EXPLAIN when you post the results next.


Sure @keshav_m, will do that and let you know.