For example:
User user = GetSession().Query<User>().SingleOrDefault(u => u.Login == login);
That query could evaluated twice in my code from different methods (check if user exist and save some data to cookies). Profiler shows that nhibernate accessed database twice for that query inside one session. Is it possible to configure nhiberate/mappings do not execute the same queries inside same session?
Thanks in advance
Sounds like you want second-level caching and the query cache.
From the NHibernate reference, section 19.4 The Query Cache:
Query result sets may also be cached. This is only useful for queries that are run frequently with the same parameters.
Related
I am designing a testing framework that makes extensive use of SQL Sever Database. I am using Entity Framework 6 of .NET to felicitate it. I want to log the Underlying SQL query each time when I run a test case. I am using LINQ to SQL for querying Database.
I am having a hard time logging the SQL. LINQ to SQL generates some uncooked SQL which needs to be converted into SQL by filling in the parameters which I want to avoid.
Is there a better approach which will log all the SQL which I can directly feed to my SQL Server without doing any changes in Query ?
According to Entity Framework Logging:
The DbContext.Database.Log property can be set to a delegate for any method that takes a string. Most commonly it is used with any TextWriter by setting it to the “Write” method of that TextWriter. All SQL generated by the current context will be logged to that writer. For example, the following code will log SQL to the console:
using (var context = new BlogContext())
{
context.Database.Log = Console.Write;
// Your code here...
}
in the above way you should be able to log everything.
The following gets logged:
When the Log property is set all of the following will be logged:
SQL for all different kinds of commands. For example:
Queries, including normal LINQ queries, eSQL queries, and raw queries from methods such as SqlQuery
Inserts, updates, and deletes generated as part of SaveChanges
Relationship loading queries such as those generated by lazy loading
Parameters
Whether or not the command is being executed asynchronously
A timestamp indicating when the command started executing
Whether or not the command completed successfully, failed by throwing an exception, or, for async, was canceled
Some indication of the result value
The approximate amount of time it took to execute the command. Note that this is the time from sending the command to getting the
result object back. It does not include time to read the results.
Looking at the example output above, each of the four commands logged
are:
The query resulting from the call to context.Blogs.First
Notice that the ToString method of getting the SQL would not have worked for this query since “First” does not provide an
IQueryable on which ToString could be called
The query resulting from the lazy-loading of blog.Posts
Notice the parameter details for the key value for which lazy loading is happening
Only properties of the parameter that are set to non-default values are logged. For example, the Size property is only shown if it
is non-zero.
Two commands resulting from SaveChangesAsync; one for the update to change a post title, the other for an insert to add a new post
Notice the parameter details for the FK and Title properties
Notice that these commands are being executed asynchronously
I have a Rails 4 application that I use in conjunction with sidekiq to run asynchronous jobs. One of the jobs I normally run outside of my Rails application is a large set of complex SQL queries that cannot really be modeled by ActiveRecord. The connection this set of SQL queries has with my Rails app is that it should be executed anytime one of my controller actions is invoked.
Ideally, I'd queue a job from my Rails application within the controller for Sidekiq to go ahead and run the queries. Right now they're stored in an external file, and I'm not entirely sure what the best way is to have Rails run the said SQL.
Any solutions are appreciated.
I agree with Sharagoz, if you just need to run a specific query, the best way is to send the query string directly into the connection, like:
ActiveRecord::Base.connection.execute(File.read("myquery.sql"))
If the query is not static and you have to compose it, I would use Arel, it's already present in Rails 4.x:
https://github.com/rails/arel
You didn't say what database you are using, so I'm going to assume MySQL.
You could shell out to the mysql binary to do the work:
result = `mysql -u #{user} --password #{password} #{database} < #{huge_sql_filename}`
Or use ActiveRecord::Base.connection.execute(File.read("huge.sql")), but it won't work out of the box if you have multiple SQL statements in your SQL file.
In order to run multiple statements you will need to create an initializer that monkey patches the ActiveRecord::Base.mysql2_connection to allow setting MySQL's CLIENT_MULTI_STATEMENTS and CLIENT_MULTI_RESULTS flags.
Create a new initializer config/initializers/mysql2.rb
module ActiveRecord
class Base
# Overriding ActiveRecord::Base.mysql2_connection
# method to allow passing options from database.yml
#
# Example of database.yml
#
# login: &login
# socket: /tmp/mysql.sock
# adapter: mysql2
# host: localhost
# encoding: utf8
# flags: 131072
#
# #param [Hash] config hash that you define in your
# database.yml
# #return [Mysql2Adapter] new MySQL adapter object
#
def self.mysql2_connection(config)
config[:username] = 'root' if config[:username].nil?
if Mysql2::Client.const_defined? :FOUND_ROWS
config[:flags] = config[:flags] ? config[:flags] | Mysql2::Client::FOUND_ROWS : Mysql2::Client::FOUND_ROWS
end
client = Mysql2::Client.new(config.symbolize_keys)
options = [config[:host], config[:username], config[:password], config[:database], config[:port], config[:socket], 0]
ConnectionAdapters::Mysql2Adapter.new(client, logger, options, config)
end
end
end
Then update config/database.yml to add flags:
development:
adapter: mysql2
database: app_development
username: user
password: password
flags: <%= 65536 | 131072 %>
I just tested this on Rails 4.1 and it works great.
Source: http://www.spectator.in/2011/03/12/rails2-mysql2-and-stored-procedures/
Executing one query is - as outlined by other people - quite simply done through
ActiveRecord::Base.connection.execute("SELECT COUNT(*) FROM users")
You are talking about a 20.000 line sql script of multiple queries. Assuming you have the file somewhat under control, you can extract the individual queries from it.
script = Rails.root.join("lib").join("script.sql").read # ah, Pathnames
# this needs to match the delimiter of your queries
STATEMENT_SEPARATOR = ";\n\n"
ActiveRecord::Base.transaction do
script.split(STATEMENT_SEPARATOR).each do |stmt|
ActiveRecord::Base.connection.execute(stmt)
end
end
If you're lucky, then the query delimiter could be ";\n\n", but this depends of course on your script. We had in another example "\x0" as delimiter. The point is that you split the script into queries to send them to the database. I wrapped it in a transaction, to let the database know that there is coming more than one statement. The block commits when no exception is raised while sending the script-queries.
If you do not have the script-file under control, start talking to those who control it to get a reliable delimiter. If it's not under your control and you cannot talk to the one who controls it, you wouldn't execute it, I guess :-).
UPDATE
This is a generic way to solve this. For PostgreSQL, you don't need to split the statements manually. You can just send them all at once via execute. For MySQL, there seem to be solutions to get the adapter into a CLIENT_MULTI_STATEMENTS mode.
If you want to execute raw SQL through active record you can use this API:
ActiveRecord::Base.connection.execute("SELECT COUNT(*) FROM users")
If you are running big SQL every time, i suggest you to create a sql view for it. It be boost the execution time. The other thing is, if possible try to split all those SQL query in such a way that it will be executed parallely instead of sequentially and then push it to sidekiq queue.
You have to use ActiveRecord::Base.connection.execute or ModelClass.find_by_sql to run custom SQL.
Also, put an eye on ROLLBACK transactions, you will find many places where you dont need such ROLLBACK feature. If you avoid that, the query will run faster but it is dangerous.
Thanks all i can suggest.
use available database tools to handle the complex queries, such as views, stored procedures etc and call them as other people already suggested (ActiveRecord::Base.connection.execute and ModelClass.find_by_sql for example)- it might very well cut down significantly on query preparation time in the DB and make your code easier to handle
http://dev.mysql.com/doc/refman/5.0/en/create-view.html
http://dev.mysql.com/doc/connector-cpp/en/connector-cpp-tutorials-stored-routines-statements.html
abstract your query input parameters into a hash so you can pass it on to sidekiq, don't send SQL strings as this will probably degrade performance (due to query preparation time) and make your life more complicated due to funny SQL driver parsing bugs
run your complex queries in a dedicated named queue and set concurrency to such a value that will prevent your database of getting overwhelmed by the queries as they smell like they could be pretty db heavy
https://github.com/mperham/sidekiq/wiki/API
https://github.com/mperham/sidekiq/wiki/Advanced-Options
have a look at Squeel, its a great addition to AR, it might be able to pull some of the things you are doing
https://github.com/activerecord-hackery/squeel
http://railscasts.com/episodes/354-squeel
I'll assume you use MySQL for now, but your mileage will vary depending on the DB type that you use. For example, Oracle has some good gems for handling stored procedures, views etc, for example https://github.com/rsim/ruby-plsql
Let me know if some of this stuff doesn't fit your use case and I'll expand
I see this post is kind of old. But I would like to add my solution to it. I was in a similar situation; I also needed a way to force feed "PRAGMA foreign_keys = on;" into my sqlite connection (I could not find a previous post that spelled it out how to do it.) Anywho, this worked like a charm for me. It allowed me to write "pretty" sql and still get it executed. Blank lines are ignored by the if statement.
conn = ActiveRecord::Base.establish_connection(adapter:'sqlite3',database:DB_NAME)
sqls = File.read(DDL_NAME).split(';')
sqls.each {|sql| conn.connection.execute(sql<<';') unless sql.strip.size == 0 }
conn.connection.execute('PRAGMA foreign_keys = on;')
I had the same problem with a set of sql statements that I needed to execute all in one call to the server. What worked for me was to set up an initializer for Mysql2 adapter (as explained in infused answer) but also do some extra work to process multiple results. A direct call to ActiveRecord::Base.connection.executewould only retrieve the first result and issue an Internal Error.
My solution was to get the Mysql2 adapter and work directly with it:
client = ActiveRecord::Base.connection.raw_connection
Then, as explained here, execute the query and loop through the results:
client.query(multiple_stms_query)
while client.next_result
result = client.store_result
# do something with it ...
end
I am wondering if anyone can explain why I get different results for the same query string between using the ExecuteSQL function in FM versus querying the database through a database browser (I'm using DBVisualizer).
Specifically, if I run
SELECT COUNT(DISTINCT IMV_ItemID) FROM IMV
in DBVis, I get 2802. In FileMaker, if I evaluate the expression
ExecuteSQL ( "SELECT COUNT(DISTINCT IMV_ItemID) FROM IMV"; ""; "")
then I get 2898. This makes me distrust the ExecuteSQL function. Inside of FM, the IMV table is an ODBC shadow, connected to the central MSSQL database. In DBVis, the application connects via JDBC. However, I don't think that should make any difference.
Any ideas why I get a different count for each method?
Actually, it turns out that when FM executes the SQL, it factors in whitespace, whereas DBVisualizer (not sure about other database browser apps, but I would assume it's the same) do not. Also, since the TRIM() function isn't supported by MSSQL (from what I've seen, at least) it is necessary to make the query inside of the ExecuteSQL statement something like:
SELECT COUNT(DISTINCT(LTRIM(RTRIM(IMV_ItemID)))) FROM IMV
Weird, but it works!
FM keeps a cache of the shadow table's records (for internal field-id-mapping). I'm not sure if the ExecuteSQL() function causes a re-creation of the cache. In other words: maybe the ESS shadow table is out of sync. Try to delete the cache by closing and restarting the FM client or perform a native find first.
You can also try a re-connect to the database server via the Open File script step.
HTH
I have a stateless webserver that requires 2 sets of user input to do a computation:
Page 1: GET INPUT A
Page 2: GET INPUT B
Page 3: Results calculated form user input A and B
It so happens that the bottleneck in my application is a lookup related to user input A.
As a speed up hack I make the SQL request on A that "Page 3" later does, while I wait for the user to input B such that when the user clicks submit on 'Page 2', the lookup result from 'data A' is already cached (saving impatient users 2-5 seconds).
My question
Is it possible to make my SQL lookup in such a way that the server does the query and caches it with out returning anything, as I only need it to be in the cache to make the final request 2-5 sec faster.
PostgreSQL doesn't have a result cache, so you can't pre-warm it.
It does have a disk cache. To pre-warm that, you can just run SELECT statements that discard the results. Use a PL/PgSQL PERFORM statement, a pointless aggregate, etc. A search for "postgresql pre-warm cache" may be informative.
You may also want to look into materialized views. PostgreSQL doesn't support materialized views yet, but you can simulate them with triggers and scripts. There are patches in progress to add materialized view support in progress too.
If the result is not big the best would be to save the user state in a server side session.
Update:
That is one of the cases (multiple web servers vs single db server) where a db stored session fits.
Save the result:
insert into temp_result (session_id, a, b)
select %(session_id)s, a, b
from t
Retrieve it:
select a, b
from t
where session_id = %(session_id)s
When the session expires or after a timeout delete it.
I'd like to "dry-run" Hibernate HQL queries. That is I'd like to know what actual SQL queries Hibernate will execute from given HQL query without actually executing the HQL query against real database.
I have access to hibernate mapping for tables, the HQL query string, the dialect for my database. I have also access to database if that is needed.
Now, how can I find out all the SQL queries Hibernate can generate from my HQL without actually executing the query against any database? Are there any tools for this?
Note, that many SQL queries can be generated from one HQL query and the set of generated SQL queries may differ based on the contents of database.
I am not asking how to log SQL queries while HQL query is executing.
Edit: I don't mind connecting to database to fetch some metadata, I just don't want to execute queries.
Edit: I also know what limits and offsets are applied to query. I also have the actual parameters that will be bind to query.
The short answer is "you can't". The long answer is below.
There are two approaches you can take:
A) Look into HQLQueryPlan class, particularly its getSqlStrings() method. It will not get you the exact SQL because further preprocessing is involved before query is actually executed (parameters are bound, limit / offset are applied, etc...) but it may be close enough to what you want.
The thing to keep in mind here is that you'll need an actual SessionFactory instance in order to construct HQLQueryPlan, which means you won't be able to do so without "connecting to any database". You can, however, use in-memory database (SqlLite and the likes) and have Hibernate auto-create necessary schema for it.
B) Start with ASTQueryTranslatorFactory and descend into AST / ANTLR madness. In theory you may be able to hack together a parser that would work without relying on metadata but I have a hardest time imagining what is it you're trying to do for this to be worth it. Perhaps you can clarify? There has to be a better approach.
Update: for an offline, dry-run of some HQL, using HQLQueryPlan directly is a good approach. If you want to intercept every query in the app, while it's running, and record the SQL, you'll have to use proxies and reflection as described below.
Take a look at this answer for Criteria Queries.
For HQL, it's the same concept - you have to cast to Hibernate implementation classes and/or access private members, so it's not a supported method, but it will work with a the 3.2-3.3 versions of Hibernate. Here is the code to access the query from HQL (query is the object returned by session.createQuery(hql_string):
Field f = AbstractQueryImpl.class.getDeclaredField("session");
f.setAccessible(true);
SessionImpl sessionImpl = (SessionImpl) f.get(query);
Method m = AbstractSessionImpl.class.getDeclaredMethod("getHQLQueryPlan", new Class[] { String.class, boolean.class });
m.setAccessible(true);
HQLQueryPlan plan = (HQLQueryPlan) m.invoke(sessionImpl, new Object[] { query.getQueryString(), Boolean.FALSE });
for (int i = 0; i < plan.getSqlStrings().length; ++i) {
sql += plan.getSqlStrings()[i];
}
I would wrap all of that in a try/catch so you can go on with the query if the logging doesn't work.
It's possible to proxy your session and then proxy your queries so that you can log the sql and the parameters of every query (hql, sql, criteria) before it runs, without the code that builds the query having to do anything (as long as the initial session is retrieved from code you control).