Essterm: Terminal-based ad hoc client for Essbase

Remember the last time you thought, “You know, Excel is just a little too modern, I wish I could do multi-dimensional analysis using my keyboard, in a terminal, the way the Pilgrims did it.”

Me neither.

Yet, here we are.

I was going to originally throw this over the fence release this as a bit of an April Fool’s joke, but I didn’t have quite enough time. I actually showed this off to the fine folks at my Collaborate session last month, and believe it or not, some of the people there thought it had some interesting use-cases. Continue Reading…

PBJ 1.0.4 – New password options and start of CLI

The PBJ library has been getting a lot of attention lately from various developers using it to integrate with their own software and projects. Francisco Amores did a great blog post about using PBJ to help with data loading in an FDMEE project. Probably the coolest thing about his efforts is that it’s  use-case I never imagined: using PBJ in Jython to access PBCS.

One of the things that has been so great about collaborating with Francisco is getting targeted, useful, and practical comments on how he’s using the library and how it can be made better. And I have found time to make various improvements, enhancements, and fix bugs to address his feedback. This is one of the greatest things about open source software.

Continue Reading…

My Top 10 Favorite Drillbridge Features

Drillbridge is a tool with an ostensibly narrow focus – drill from Essbase/Hyperion data to somewhere else. Typically that “somewhere else” is the relational data that has been summarized to load into the cube. While the concept of drill-through is very simple in principle, Drillbridge has been extensively engineered to make take this simple process and augment it with dozens of features that enhance its usefulness.

That said, in no particular order, I thought it might be fun to point out my ten favorite Drillbridge features. Continue Reading…

Hyperion Parent Inferrer Updated (after four years!)

I had a need for the Hyperion Parent Inferrer functionality for an internal project I am working on. It didn’t quite do what I needed out of the box so I updated things a bit. As quick background, the Hyperion Parent Inferrer is a simple one-off Java program/library I developed (apparently four years ago, wow) to parse indented data into an explicit parent/child file.

There are a few (apparently rare) cases where this is useful. In my case, I was modeling some hierarchical data and I find the indented format to be much easier on the eyes. Like so:


But when it comes time to load in to Essbase, clearly we need something more explicit. The Hyperion Parent Inferrer takes that preceding as input and then outputs something like the following:


The program has been enhanced to allow for a custom indentation character (such as tabs), to be able to specify the text rendered when there is no parent (instead of null), and a couple other little cleanups.

Hyperion Parent Inferrer is free, open source (Apache Software License version 2), and can be run as a standalone command-line Java program or as a Java library that can be incorporated into a typical Java program. The updated code is available at the Hyperion Parent Inferrer GitHub page.

Essbase Renegade Members Revisited

For some reason the other day I was thinking “Whatever happened to that renegade members feature?” So I did some digging.

Renegade members, by the way, refers to this concept where instead of a data record being rejected, you can map it to some other member. Other names for this feature might have been “shovel members”, but renegade members sounds cooler. That said, it’s a feature with a cool name but an apparently terrible publicist.

Renegade members were blogged about as early as a few years ago, such as on Cameron’s blog (during the 2013 OpenWorld), in Russian (apparently), and even over at Rittman Mead’s blog (before Mark spent his days trying to get tea kettles to work with the internet, but I digress).

But there’s a a curious lack of information on renegade members since then. There is, however, just enough information on the internet to piece this together. There’s a little documentation about renegade members over on the official documentation. Just as important (for my purposes), there are two methods relating to renegade members that are in the Essbase JAPI Javadoc.

Continue Reading…

Oracle Open World 2016 Recap

As I mentioned a week or so ago, I made a last minute appearance at Oracle Open World this year. It was my first time attending and presenting at OOW. I actually didn’t catch too much of the conference as I only flew in on Wednesday and flew out on Thursday. Nevertheless, I had a bit of a whirlwind experience, but a very good one. While I hadn’t planned on it (I’m more of a Kscope guy), I am now looking forward to attending Open World next year.

As for the presentation I was part of, I think it went pretty well. Many thanks to Gabby Rubin of Oracle for coming up with the idea for the presentation and facilitating it. The presentation was on “Essbase Tools and Toys” and was meant to highlight, at a high level, some of the interesting things that folks such as myself are doing that involve the Essbase APIs or otherwise work with Essbase. The presentation discussed items created by me, Tim Tow, and Harry Gates. Additionally, Kumar Ramaiyer (also from Oracle) talked a bit about what’s coming with Essbase Cloud Service (EssCS).

Continue Reading…

Vess Updates Substitution Variables

A colleague of mine is running into an issue with substitution variables and was looking for a solution that he could use to sync values up. He thought maybe Vess would be a good fit. Vess, as I have blogged about before, is a “virtual” Essbase JDBC driver. Vess maps Essbase concepts and crams them into a typical database model. For example, Vess exposes tables that model substitution variables.

In the case of server-wide substitution variables, there is a “VARS” table that has two columns: NAME and VALUE. For each application, there is another table that contains four columns: NAME, VALUE, APPLICATION, DATABASE.

As a quick aside, this might seem a little odd to have separate tables. After all, this table is notionally about the same as the Variables screen in EAS. Well, you have to kind of flip your thinking a little. Don’t think of variables as being only either server or a cube: think about in terms of what variables are applicable to a cube. In other words, if you ask Essbase what variables are applicable to the whole server, then this would be the global variables only. If you ask Essbase what variables are applicable to a cube, then it’s the cube, app, AND the server specific variables. This is one of the reasons there are multiple tables to model the variables.

Getting back on track, given that we have these tables and we can treat them just like normal SQL tables, we can do some interesting things. Let’s say we want to create or update a variable specific to an app that exists in the global scope. We can do this in one line:

SELECT NAME, VALUE, 'Sample', 'Basic'<br />

What’s going on here? In Vess, a schema named VESS_SCHEMA is presented for server-wide things (server wide variables are in the table VARS in this schema, as shown above). The server VARS table only has columns NAME and VALUE.

Each application on the Essbase sever is modeled as its own schema. In this case, our favorite app – Sample – gets a schema named SAMPLE. This schema also contains a VARS table (containing columns NAME, VALUE, APPLICATION, and DATABASE).

Given these tables we have, it’s a simple matter of selecting the server variable with the name we want (in this case, a variable named ‘Foo’), and insert it into the variables for the Sample app.

Of course, if we wanted to for some reason, we could alter the name using normal SQL (string truncating, substrings, etc), or whatever. We can also delete variables, such as this:


As I’ve said before, Vess continues to be an “interesting” proof of concept. As time permits I am filling out more and more functionality. At present, Vess models things like substitution variables, metadata you might see in MaxL or EAS (cube statistics, user sessions, etc), can load data to cubes, and can do certain outline related operations.

Vess is not available as a public download at this time but I have handed a few copies out to get feedback. I think Vess is just about good enough to be used in automation and other things. If you’re interested in using this in a production situation (automation or otherwise), please contact me to discuss support options.

HUMA 0.5.0 available to download

An early build of the Hyperion Unused Member Analyzer is now available to download.

I posted details over in the Saxifrage Systems LLC “tools” forum with some brief notes on how to run and use the tool. Again, just to iterate (and so I have a clear conscience), it’s super alpha software, so there’s no warranty on this thing. Do please let me know your feedback either in email or the forum post. Future iterations of the software will clean it up.

cubeSavvy Review

One of my personal blogging goals this year is to take a tour of apps, code, libraries, and other third-party tools in the Hyperion ecosystem. I have some cool stuff on deck to be reviewed, starting with today.

Today I’d like to take a look at Harry GatescubeSavvy. cubeSavvy ostensibly purports to be “Planning without Planning”. Or, put another way, it’s a web-based interface for Essbase cubes, without all of the additional infrastructure and setup that Planning entails. This is an interesting approach. Let’s think about it for a moment.

As many of you know, by design, Hyperion Planning sits on top of Essbase and is synchronized down to Essbase. This design has some drawbacks and some advantages that are possibly worth musing on in a future post. Planning also brings a lot of extra functionality to the table that manifests itself in the user interface and/or is pushed down in some way to the underlying cube. cubeSavvy comes to the table and more or less says, “Hey, let’s do away with all of that and get a little more purist about this: let’s have grids (similar in concept to forms in Planning) defined that work with our vanilla Essbase functionality – and let’s just manage the cube instead of pushing and synchronizing things down to Essbase.”

So in theory, if you have an Essbase server up and running and then stick a cubeSavvy server in front of it, define some grids and provision some users, you’ve got a web-based budgeting and planning system on top of your cubes. Interesting.

In a first for me and this blog, this article will be split up in to several pages, covering Installation & Setup, Configuring Grids, User Experience, and Closing Thoughts. Please enjoy this whirlwind tour of cubeSavvy!

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