I recently discovered that DBeaver can connect to MongoDB. My next discovery was that DBeaver expects SQL-like queries instead of the JavaScript-like queries I use with the mongo command line client. I've been unable to find any good documentation on the syntax I should be using, so I've been learning by trial and error. I need some help filtering query results by date.
I have a collection named tasks. Each object in the collection has a startedAt attribute that holds a timestamp.
This query gives me lots of results using the command line client: db.tasks.find({startedAt:{$gt:ISODate("2017-03-03")}});
I'm guessing the syntax in DBeaver should be something like this: select * from tasks where startedAt > '2017-03-03';
But, I'm doing something wrong because I don't get any results in DBeaver unless I drop the where clause. What's the right way?
Related
I'm trying the following query from the BigQuery Standard SQL documentation:
SELECT DATE_DIFF(DATE '2010-07-07', DATE '2008-12-25', DAY) as days_diff;
https://cloud.google.com/bigquery/docs/reference/standard-sql/functions-and-operators#date_diff
However, I'm receiving the following error from the UI:
Error: Encountered " "\'2010-07-07\' "" at line 1, column 23. Was expecting: ")" ... [Try using standard SQL (https://cloud.google.com/bigquery/docs/reference/standard-sql/enabling-standard-sql)]
This is a simple copy and paste from the doc into the web UI Query Editor.
Any idea on how to resolve this?
Below are examples for respectively BigQuery Legacy SQL and Standard SQL
Make sure you try code as it is in answer below - not just second lines but 2(both) lines including first line that looks like comment - but in reality important part of query as it controls which SQL dialect will be in effect!
#legacySQL
SELECT DATEDIFF(DATE('2010-07-07'), DATE('2008-12-25')) AS days_diff
and
#standardSQL
SELECT DATE_DIFF(DATE '2010-07-07', DATE '2008-12-25', DAY) AS days_diff
both returns result as below
Row days_diff
1 559
Ideally, you should consider migrating to Standard SQL
Although the answer has already been provided in the comments to your questions and by Mikhail in the other answer, let me share with you a complete answer that hopefully addresses all your doubts:
ERROR MESSAGE
As explained in the error message you are getting, [Try using standard SQL (...)]. You are trying to run this sample using Legacy SQL (which instead would use the DATEDIFF function). You are actually right, you are running the exact same query provided in the documentation, but the issue here is that the documentation you are using is for Standard SQL (the preferred query language in BigQuery), but you are instead using Legacy SQL (the default language in the old UI, the one you are using).
CHANGE THE QUERY LANGUAGE IN USE
First of all, I would like to remark the importance of using Standard SQL instead of Legacy SQL, as the former adds new functionalities and is the current recommended language to use with BigQuery. You can see the whole list of comparisons in the documentation, but if you are starting with BigQuery, I would just go straight away with Standard SQL.
Now, that being clarified, in order to use Standard SQL instead of Legacy SQL, you can have a look at the documentation here, but let me summarize the available options for you:
In the BigQuery UI, you can toggle the Use legacy SQL option inside
the Show options menu. If this option is marked, you will be using
Legacy SQL; and if it is not, you will be using Standard SQL.
You can use a prefix in your query, like #standardSQL or #legacySQL, which would ignore the default configuration and use the language you specify with this option. As an example on how to use it, please have a look at the other answer by Mikhail, who shared with you a couple of examples using prefixes to identify the language in use. You should copy the complete query (including the prefix) in the UI, and you will see that it works successfully.
Finally, as suggested by Elliott, you can use the new UI, which has just recently released in Beta access. You can access it through this link https://console.cloud.google.com/bigquery instead of the old link https://bigquery.cloud.google.com that you were using until now. You can find more information about the new BigQuery Web UI in this other linked page too.
Logging SQL queries is widely described, for instance here:
How to get the query executed in Laravel 5?
but I found no infos about how to log the queries along with the query results or errors respectively.
Anyone who can fill the gap?
Thanks,
Armin.
IF you want to debug a query(ies) (based on your comment) there is this option
Before the query add
\DB::enableQueryLog();
and after the query you can do a dd or whatever with:
\DB::getQueryLog();
Note: This will debug all of the queries in between the two commands
I am using OrientDB and the gremlin console that comes with.
I am trying to search a pattern in text property. I have Email vertices with ebodyText property. The problem is that the result of querying with SQL like command and Gremlin language is quite different.
If I use SQL like query such as:
select count(*) from Email where eBodyText like '%Syria%'
it returns 24.
But if I query in gremlin console such as:
g.V.has('eBodyText').filter{it.eBodyText.matches('.*Syria.*')}.count()
it returns none.
Same queries with a different keyword 'memo' returns 161 by SQL but 20 by gremlin.
Why does this behave like this? Is there a problem with the syntax of gremlin command? Is there a better way to search text in gremlin?
I guess there might be a problem of setting properties in the upload script which uses python driver 'pyorient'.
Python script used to upload the dataset
Thanks for your help.
I tried with 2.1.15 and I had no problem.
These are the records.
EDITED
I added some vertexes to my DB and now the count() is 11
QUERY:
g.V.has('eBodyText').filter{it.eBodyText.contains('Syria')}.count()
OUTPUT:
==>11
Hope it helps.
I am trying to configure Microstrategy to work with MongoDB. The Mstr advised way is to use Simba ODBC driver. The simple connection works fine. The problems start when I want to use functions e.g. get only hour out of the timestamp.
The other approach I tried is to use Apache drill and I face exactly the same problem.
Select code, name from offer
Code and name are attributes of some documents in collection called offer. This works fine.
Select date(interactionDateTime) from interactionrecord
This fails. I tried different syntax postgres - date_part, to_date - Oracle, another one from MySQL..., EXTRACT etc.
You should be able to use the scalar functions listed here: https://msdn.microsoft.com/en-us/library/ms714639(v=vs.85).aspx
To extract the hour out of a time, use the HOUR() scalar function.
I'm looking for a way to programmatically execute arbitrary SQL commands against my DB.
(Hibernate, JPA, HSQL)
Query.createNativeQuery() doesn't work for things like CREATE TABLE.
Doing LOTS of searching, I thought I could use the Hibernate Session.doWork().
By using the deprecated Configuration.buildSesionFactory() seems to show that doWork won't work.
I get "use lacks privilege or object not found" for all the CREATE TABLE statements.
So, what other technique is there for executing arbitratry SQL statements?
There were some notes on using the underlying JDBC Statement, but I haven't figure out how to get a JDBC Connection object from Hibernate to try that.
Note that the hibernate.hbm2ddl.auto=create setting will NOT work for me, as I have ARRAY[] columns which it chokes on.
I don't think there is any problem executing a create table statement with a Hibernate native query. Just make sure to use Query.executeUpdate(), and not Query.list() or Query.uniqueResult().
If it doesn't work, please tell us what happens when you execute it, and join the full stack trace of the exception and the SQL query you're executing.
"use lacks privilege or object not found" in HSQL may mean anything, for example existence of a table with the same name. Error messages in HSQL are completely misleading. Try listing your tables using DatabaseMetadata - you have probably already created the table.