MongoDB equivalent for select "of" select? - mongodb-query

I would like to know what is the best way to translate a SQL query like:
select * from table where id in(
Select id from table where field1="titi" )
For the moment I get a two steps query:
CALLMATCH = db.appels.find({"EVENTDATA": /.*442251434*./} , {CALLID: 1});
db.appels.find({"CALLID": {$in: CALLMATCH} } );
Is there a better way to perform this kind of query?
And a second question is how to display the result in a file? (since it is not very pratical to check the result through the cmd console...)
In advance thank you for your feedback!
Regards,
Fabien.

Mongo does not support joins so you have to do two queries.
In order to save the result set to a file you can simply redirect the output to a file such as this:
mongo [script] > output_file.txt
where script is a file with your queries ending with .js

Related

How to store the output of a query in a variable in HIVE

I want to store current_day - 1 in a variable in Hive. I know there are already previous threads on this topic but the solutions provided there first recommends defining the variable outside hive in a shell environment and then using that variable inside Hive.
Storing result of query in hive variable
I first got the current_Date - 1 using
select date_sub(FROM_UNIXTIME(UNIX_TIMESTAMP(),'yyyy-MM-dd'),1);
Then i tried two approaches:
1. set date1 = ( select date_sub(FROM_UNIXTIME(UNIX_TIMESTAMP(),'yyyy-MM-dd'),1);
and
2. set hivevar:date1 = ( select date_sub(FROM_UNIXTIME(UNIX_TIMESTAMP(),'yyyy-MM-dd'),1);
Both the approaches are throwing an error:
"ParseException line 1:82 cannot recognize input near 'select' 'date_sub' '(' in expression specification"
When I printed (1) in place of yesterday's date the select query is saved in the variable. The (2) approach throws "{hivevar:dt_chk} is undefined
".
I am new to Hive, would appreciate any help. Thanks.
Hive doesn't support a straightforward way to store query result to variables.You have to use the shell option along with hiveconf.
date1 = $(hive -e "set hive.cli.print.header=false; select date_sub(from_unixtime(unix_timestamp(),'yyyy-MM-dd'),1);")
hive -hiveconf "date1"="$date1" -f hive_script.hql
Then in your script you can reference the newly created varaible date1
select '${hiveconf:date1}'
After lots of research, this is probably the best way to achieve setting a variable as an output of an SQL:
INSERT OVERWRITE LOCAL DIRECTORY '<home path>/config/date1'
select CONCAT('set hivevar:date1=',date_sub(FROM_UNIXTIME(UNIX_TIMESTAMP(),'yyyy-MM-dd'),1)) from <some table> limit 1;
source <home path>/config/date1/000000_0;
You will then be able to use ${date1} in your subsequent SQLs.
Here we had to use <some table> limit 1 as hive got a bug in insert overwrite if we don't specify a table name.

Converting xml node string to strip out nodes

I have a table that has a column called RAW DATA of type NVARCHAR MAX, which is a dump from a web service. Here is a sample of 1 data line:
<CourtRecordEventCaseHist>
<eventDate>2008-02-11T06:00:00Z</eventDate>
<eventDate_TZ>-0600</eventDate_TZ>
<histSeqNo>4</histSeqNo>
<countyNo>1</countyNo>
<caseNo>xxxxxx</caseNo>
<eventType>WCCS</eventType>
<descr>Warrant/Capias/Commitment served</descr>
<tag/>
<ctofcNameL/>
<ctofcNameF/>
<ctofcNameM/>
<ctofcSuffix/>
<sealCtofcNameL/>
<sealCtofcNameF/>
<sealCtofcNameM/>
<sealCtofcSuffix/>
<sealCtofcTypeCodeDescr/>
<courtRptrNameL/>
<courtRptrNameF/>
<courtRptrNameM/>
<courtRptrSuffix/>
<dktTxt>Signature bond set</dktTxt>
<eventAmt>0.00</eventAmt>
<isMoneyEnabled>false</isMoneyEnabled>
<courtRecordEventPartyList>
<partyNameF>Name</partyNameF>
<partyNameM>A.</partyNameM>
<partyNameL>xxxx</partyNameL>
<partySuffix/>
<isAddrSealed>false</isAddrSealed>
<isSeal>false</isSeal>
</courtRecordEventPartyList>
</CourtRecordEventCaseHist>
It was suppose to go in a table, with the node names representing the column names. The table it's going to is created, I just need to exract the data from this row to the table. I have 100's of thousands records like this. I was going to copy to a xml file, then import. But there is so much data, I would rather try and do the work within the DB.
Any ideas?
First, create the table with all the required columns.
Then, use your favorite scripting language to load the table! Mine being groovy, here is what I'd do:
def sql = Sql.newInstance(/* SQL connection here*/)
sql.eachRow("select RAW_DATA from TABLE_NAME") { row ->
String xmlData = row."RAW_DATA"
def root = new XmlSlurper().parseText(xmlData)
def date = root.eventDate
def histSeqNo = root.histSeqNo
//Pull out all the data and insert into new table!
}
I did find an answer to this, I'm sure there is more than one way of doing this. But this is what I got to work. Thanks for everyone's help.
SELECT
pref.value('(caseNo/text())[1]', 'varchar(20)') as CaseNumber,
pref.value('(countyNo/text())[1]', 'int') as CountyNumber
FROM
dbo.CaseHistoryRawData_10 CROSS APPLY
RawData.nodes('//CourtRecordEventCaseHist') AS CourtRec(pref)

Liferay DynamicQuery - xPath and Array comparison

My final goal is I want to get plid and portletId that can be display my article(or entry with any type if it is possible).
I have sql query that return me any portlet availble for display my article.
But when I have to use dynamicQuery to get the same results, I get problem with xPath and array comparison, please help!
SELECT * FROM portletpreferences pr
WHERE pr.preferences != '<portlet-preferences />' AND pr.ownerid = 0 AND pr.portletid ilike '%_INSTANCE_%' AND pr.plid IN(
SELECT layout.plid FROM layout
WHERE layout.type_ = 'portlet' AND layout.groupid = 19 AND layout.hidden_ is false)
AND pr.portletpreferencesid IN (
SELECT pr.portletpreferencesid FROM portletpreferences pr
WHERE 'true' = ANY(xpath('//preference[name="anyAssetType"]/value/text()', XMLPARSE(DOCUMENT pr.preferences))::text[])
OR (SELECT (array(SELECT id_ FROM journalstructure))::text[]) && xpath('//preference[name="classTypeIds"]/value/text()', XMLPARSE(DOCUMENT pr.preferences))::text[] )
If you are bent upon using this same query, then use this query directly with Custom-SQL in liferay by creating custom-finders instead of using DynamicQuery. That would give you a lot of flexibility in using any type of SQL query directly.
I don't think this query can be converted to DynamicQuery, but if you do manage to convert it then please do post it here :-)
DynamicQuery is very powerful, see e.g. my answer how to find layouts with specific JournalArticles. I think your requirement is similar to this one:
Liferay: How to find all Layouts with the specific JournalArticle in AssetPublisher portlets?

Solr, select where in select

I'm trying to do a query with a select in another.
I would like to do something like:
select?q=*:* AND id_user=5&fl=id_other
select?q=test AND -id(the result of the other select)&fl=id
So:
select?q=test AND -id(select?q=* AND id_user=5&fl=id_other)&fl=id
Is it possible? Or I have to do two separates selects?
$ids = select?q=*:* AND id_user=5&fl=id_other
$result = select?q=test AND -id(implode(' AND ', $ids))&fl=id
Thanks!
There is a nested query support in Solr. You can _query_ parameter to embed query into another. Check this tutorial for more information.

Django select only rows with duplicate field values

suppose we have a model in django defined as follows:
class Literal:
name = models.CharField(...)
...
Name field is not unique, and thus can have duplicate values. I need to accomplish the following task:
Select all rows from the model that have at least one duplicate value of the name field.
I know how to do it using plain SQL (may be not the best solution):
select * from literal where name IN (
select name from literal group by name having count((name)) > 1
);
So, is it possible to select this using django ORM? Or better SQL solution?
Try:
from django.db.models import Count
Literal.objects.values('name')
.annotate(Count('id'))
.order_by()
.filter(id__count__gt=1)
This is as close as you can get with Django. The problem is that this will return a ValuesQuerySet with only name and count. However, you can then use this to construct a regular QuerySet by feeding it back into another query:
dupes = Literal.objects.values('name')
.annotate(Count('id'))
.order_by()
.filter(id__count__gt=1)
Literal.objects.filter(name__in=[item['name'] for item in dupes])
This was rejected as an edit. So here it is as a better answer
dups = (
Literal.objects.values('name')
.annotate(count=Count('id'))
.values('name')
.order_by()
.filter(count__gt=1)
)
This will return a ValuesQuerySet with all of the duplicate names. However, you can then use this to construct a regular QuerySet by feeding it back into another query. The django ORM is smart enough to combine these into a single query:
Literal.objects.filter(name__in=dups)
The extra call to .values('name') after the annotate call looks a little strange. Without this, the subquery fails. The extra values tricks the ORM into only selecting the name column for the subquery.
try using aggregation
Literal.objects.values('name').annotate(name_count=Count('name')).exclude(name_count=1)
In case you use PostgreSQL, you can do something like this:
from django.contrib.postgres.aggregates import ArrayAgg
from django.db.models import Func, Value
duplicate_ids = (Literal.objects.values('name')
.annotate(ids=ArrayAgg('id'))
.annotate(c=Func('ids', Value(1), function='array_length'))
.filter(c__gt=1)
.annotate(ids=Func('ids', function='unnest'))
.values_list('ids', flat=True))
It results in this rather simple SQL query:
SELECT unnest(ARRAY_AGG("app_literal"."id")) AS "ids"
FROM "app_literal"
GROUP BY "app_literal"."name"
HAVING array_length(ARRAY_AGG("app_literal"."id"), 1) > 1
Ok, so for some reason none of the above worked for, it always returned <MultilingualQuerySet []>. I use the following, much easier to understand but not so elegant solution:
dupes = []
uniques = []
dupes_query = MyModel.objects.values_list('field', flat=True)
for dupe in set(dupes_query):
if not dupe in uniques:
uniques.append(dupe)
else:
dupes.append(dupe)
print(set(dupes))
If you want to result only names list but not objects, you can use the following query
repeated_names = Literal.objects.values('name').annotate(Count('id')).order_by().filter(id__count__gt=1).values_list('name', flat='true')