h2o random forest deploy it in SQL - sql

I would like to use h2o model (either run in R or in flow) as an operational predictions. However, I would like to run it directly from Oracle sql. Is there currently a way that h2o translate .predict in sql code?
Thanks

This is hopefully a nudge in the right direction, but definitely not a complete answer.
Looking at this documentation:
https://docs.oracle.com/cd/B28359_01/appdev.111/b28370/create_function.htm#LNPLS01370
It looks like the CREATE FUNCTION capability allows the creation of Java functions.
You could perhaps take an H2O-generated POJO (Plain Old Java Object), wrap it in a Java function, and call it as part of a select statement.
Here is a pointer to a tutorial for how to do this for Hive:
http://docs.h2o.ai/h2o-tutorials/latest-stable/tutorials/hive_udf_template/index.html

That's not possible from within Oracle SQL - Oracle SQL databases can't execute R code natively. What you could do, is generate your predictions in R and then write them to a table in the Oracle SQL DB.

Related

Write non-SQL dataset to SQL table in DataIku

I dont seem to find a way to write the output from a previous step in the flow into a SQL table, using the SQL recipes. When I read the documentation, it seems both types of SQL action can only take as an input a SQL dataset? This cant be write, as you would imagine you would want to create datasets in the flow and then commit them to a database?
https://doc.dataiku.com/dss/latest/code_recipes/sql.html
In the docs above, it describes In\Out parameters as needing to be SQL.
Indeed, it doesn't seem possible with a SQL recipe which executes fully in the database.
That being said you can probably use a sync recipe to put your non-SQL dataset in your SQL db so that you can execute a SQL recipe.

Convert base R commands into SQL statements

I am looking for a package that makes it easy to treat RDBMS in the same way you would treat data frames by automatically translating base R commands into valid SQL statements. I know that there is the dbplyr package but I am not a big fan of the tidyverse.
Is there a solution available that converts base R into SQL?

Moving from Oracle SQL to ANSI SQL pros and cons

I work in a project where the UI has direct access to the database through SQL code. The company has a framework where we create UI pages in xml and after that it is parsed and creates FLEX pages. If we want some data from the DB (Oracle) we add a sql query in the xml (instead of databinding with a datacontext object like we could do with WPF). If we want to add some logic, there is no code behind, we call store procedures. After we have the data we need the parser does the job.
The new requirements are to use the framework and create a new product that will be compatible with SQL Server and the thoughts are to start transforming the (Oracle)SQL queries to ANSI SQL.
Can somebody tell me the benefits and mainly the problems that we are going to face doing that?
Do you think there is a better way?
Note: The framework is really big and there are a lot of products built on that so managers are not keen to just throw it away(I tried but.. :))
Each dialect of SQL is different. You could use ANSI SQL but a) not all of ANSI SQL is implemented by most DBMS and b) most DBMS's have implementation-specific optimisations which will perform better for some cases.
So I'd say, don't go for ANSI SQL. It won't always work and sometimes it will work slower than taking advantage of a vendor's non-standard implementations.
Specifically, Oracle requires a StoredProcedure to return a REF_CURSOR from a stored procedure to fill a DataSet. SQL Server doesnt; the SP returns what the sp SELECTed. You're going to have to change your SP's to get rid of the returned REF_CURSOR.
Date handling is quite different: Oracle needs a to_date to turn a string into a date in where clauses etc; SQL Server just takes the string and converts it for you. And so on and so on. (I'm not at all sure what the ANSI Standard is, or even if it covers this!) To avoid changing your SQL you could add create SQL Server function called to_date, but this is now going to slow up your SQL.
If you have much PL/SQL in stored procedures, you have a big job converting it to T-SQL. They are quite different.
Good luck!

Oracle has OWA. What is the PostgreSQL equivalent?

I'd like to write stored procedures in pgSQL that dynamically generate web-ready data. I need a pure SQL to HTML or SQL to XML gateway. Oracle has OWA. In Oracle you can setup a RAC frontend to a SAN and connect a large set of OWA hosts to your RAC so you
layer your web requests and spread your queries.
What is the PostgreSQL or MySQL equivalent? I'm not looking at getting the data out of the DB, then processing it via Python or Ruby. Is something like
this even possible in PostgreSQL?
From experience, stored SQL procedures are better at moving/calculating large datasets than piping the SQL query/cursor/proc result set to a middleware Python/Ruby/Perl/PHP
that then process the data and send it to the web browser.
PostgreSQL has a host of functions that allow you to convert from tables/schemas/queries to XML ( http://www.postgresql.org/docs/8.4/static/functions-xml.html ) as well as a built-in XML datatype ( http://www.postgresql.org/docs/8.4/static/datatype-xml.html ).
Unfortunately, I can't give much more information than that as I'm not an XML guy but hopefully these references will make sense to you. ;)

Microsoft T-SQL to Oracle SQL translation

I've worked with T-SQL for years but I've just moved to an organisation that is going to require writing some Oracle stuff, probably just simple CRUD operations at least until I find my feet. I'm not going to be migrating databases from one to the other simply interacting with existing Oracle databases from an Application Development perspective. Is there are tool or utility available to easily translate T-SQL into Oracle SQL, a keyword mapper is the sort of thing I'm looking for.
P.S. I'm too lazy to RTFM, besides it's not going to be a big part of my role so I just want something to get me up to speed a little faster.
The language difference listed so far are trivial compared to the logical differences. Anyone can lookup NVL. What's hard to lookup is
DDL
In SQL server you manipulate your schema, anywhere, anytime, with little or no fuss.
In Oracle, we don't like DDL in stored procedures so you have jump through hoops. You need to use EXECUTE IMMEDIATE to perform a DDL function.
Temp Tables
IN SQL Server when the logic becomes a bit tough, the common thing is to shortcut the sql and have it resolved to a temp table and then the next step is done using that temp table.
MSSS makes it very easy to do this.
In Oracle we don't like that. By forcing an intermediate result you completely prevent the Optimizer from finding a shortcut for you. BUT If you must stop halfway and persist the intermediate results Oracle wants you to make the temp table in advance, not on the fly.
Locks
In MSSS you worry about locking, you have nolock hints to apply to DML, you have lock escalation to reduce the count of locks.
In Oracle we don't worry about these in that way.
Read Commited
Until recently MSSS didn't fully handle Read Committed isolation so you worried about dirty reads.
Oracle has been that way for decades.
etc
MSSS has no concept of Bitmap indexes, IOT, Table Clusters, Single Table hash clusters, non unique indexes enforcing unique constraints....
I get the impression most answers focus on migrating an entire database or just point to some differences between T-SQL and PL/SQL. I recently had the same problem. The Oracle database exists, but I need to convert a whole load of T-SQL scripts to PL/SQL.
I installed Oracle SQL Developer and ran the Translation Scratch Editor (Tools > Migration > Scratch Editor).
Then, just enter your T-SQL, choose the correct translation in the dropdown-list (it should default to 'T-SQL to PL/SQL'), and convert it.
I have to things to mention.
1) When I worked on Oracle 8, you could not do "Select #Result", you had to instead use the dummy table as follows "Select #Result from dual". Not sure if that ridiculousness still exists.
2) In the Oracle world they seem to love cursors and you better read up on them, they use them all the time AFAICS.
Good luck and enjoy,
it is not that different to MS SQL. Thankfully, I do not have to work with it anymore and I am back in the warm comfort of MS tools.
If you replace your ISNULL and NVL nonsense with COALESCE, it'll work in T-SQL and PL/SQL!
It's not trivial to map them back and forth, so I doubt there's a tool that does it automatically. But this link might help you out: http://vyaskn.tripod.com/oracle_sql_server_differences_equivalents.htm
The most important differences for plain T-SQL are:
NVL replaces ISNULL
SYSDATE replaces GETDATE()
CONVERT is not supported
Identity columns must be replaced with sequences <-- not technically T- or PL/ but just SQL
Note. I assume you do not use the deprecated SQL Server *= syntax for joins
#jodonell: The table you link to is a bit outdated, oracle has become somewhat more standards compliant after 9i supporting things like CASE and ANSI outer joins
I have done a few SQL server to oracle migrations. There is no way to migrate without rewriting the backend code. Too many differences between the 2 databases and more importantly differences between the 2 mind sets of the programmers. Many managers think that the 2 are interchangeable, I have had managers ask me to copy the stored procedures from SQL server and compile them in oracle, not a clue! Toad is by far the best tool on the market for supporting an oracle application. SQL developer is ok but was disappointing compared to toad. I hope that oracle will catch their product up to toad one day but it is not there yet. Have a good day :) chances are if you are migrating to oracle it is for a reason and in order to meet that requirement you will need to rewrite the back end code or you will have many issues.
In Oracle SQL Developer, there is a tool called Translation Scratch Editor. You can find it from Tools > Migration.
The Oracle SQL Developer is a free download from Oracle and it is an easy install.
If you're doing a one-off conversion, rather than trying to support two versions, you must look at Oracle Migration Workbench. This tool works with Oracle's SQLDeveloper (which you really should have if you are working with Oracle). This does a conversion of the schema, data, and some of the T-SQL to PL/SQL. Knowing both well, I found it did about an 80% job. Good enough to make it worth while to convert the bulk of procedures, and hand convert the remainder "tougher" unknown parts.
Not cheap ($995) but this tool works great: http://www.swissql.com/products/sql-translator/sql-converter.html
A few people have mentioned here converting back and forward. I do not know of a tool to convert from MSSQL to Oracle, but I used the free MS tool to convert a Oracle db to MSSQL and it worked for me and converted a large db with no problems I can call. It is similar to the Access to MSSQL tool that MS also provide for free. Enjoy
jOOQ has a publicly available, free translator, which can be accessed from the website here: https://www.jooq.org/translate
It supports DML, DDL, and a few procedural syntax elements. If you want to run the translation locally via command line, a license can be purchased and the command line works as follows:
$ java -cp jooq-3.11.9.jar org.jooq.ParserCLI -t ORACLE -s "SELECT substring('abcde', 2, 3)"
select substr('abcde', 2, 3) from dual;
See: https://www.jooq.org/doc/latest/manual/sql-building/sql-parser/sql-parser-cli
(Disclaimer, I work for the vendor)