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• Heterogeneous Datacenter Management with Enterprise Manager 12c

  - by Joe Diemer

  The following is a Guest Blog, contributed by Bryce Kaiser, Product Manager at Blue MedoraWhen I envision a perfect datacenter, it would consist of technologies acquired from a single vendor across the entire server, middleware, application, network, and storage stack - Apps to Disk - that meets your organization’s every IT requirement with absolute best-of-breed solutions in every category.   To quote a familiar motto, your datacenter would consist of "Hardware and Software, Engineered to Work Together".  In almost all cases, practical realities dictate something far less than the IT Utopia mentioned above.   You may wish to leverage multiple vendors to keep licensing costs down, a single vendor may not have an offering in the IT category you need, or your preferred vendor may quite simply not have the solution that meets your needs.    In other words, your IT needs dictate a heterogeneous IT environment.  Heterogeneity, however, comes with additional complexity. The following are two pretty typical challenges:1) No End-to-End Visibility into the Enterprise Wide Application Deployment. Each vendor solution which is added to an infrastructure may bring its own tooling creating different consoles for different vendor applications and platforms.2) No Visibility into Performance Bottlenecks. When multiple management tools operate independently, you lose diagnostic capabilities including identifying cross-tier issues with database, hung-requests, slowness, memory leaks and hardware errors/failures causing DB/MW issues. As adoption of Oracle Enterprise Manager (EM) has increased, especially since the release of Enterprise Manager 12c, Oracle has seen an increase in the number of customers who want to leverage their investments in EM to manage non-Oracle workloads.  Enterprise Manager provides a single pane of glass view into their entire datacenter.  By creating a highly extensible framework via the Oracle EM Extensibility Development Kit (EDK), Oracle has provided the tooling for business partners such as my company Blue Medora as well as customers to easily fill gaps in the ecosystem and enhance existing solutions.  As mentioned in the previous post on the Enterprise Manager Extensibility Exchange, customers have access to an assortment of Oracle and Partner provided solutions through this Exchange, which is accessed at http://www.oracle.com/goto/emextensibility.  Currently, there are over 80 Oracle and partner provided plug-ins across the EM 11g and EM 12c versions.  Blue Medora is one of those contributing partners, for which you will find 3 of our solutions including our flagship plugin for VMware.  Let's look at Blue Medora’s VMware plug-in as an example to what I'm trying to convey.  Here is a common situation solved by true visibility into your entire stack:Symptoms•    My database is bogging down, however the database appears okay internally.  Maybe it’s starved for resources?•    My OS tooling is showing everything is “OK”.  Something doesn’t add up. Root cause•    Through the VMware plugin we can see the problem is actually on the virtualization layer Solution•    From within Enterprise Manager  -- the same tool you use for all of your database tuning -- we can overlay the data of the database target, host target, and virtual machine target for a true picture of the true root cause. Here is the console view: Perhaps your monitoring conditions are more specific to your environment.  No worries, Enterprise Manager still has you covered.  With Metric Extensions you have the “Next Generation” of User-Defined Metrics, which easily bring the power of your existing management scripts into a single console while leveraging the proven Enterprise Manager framework. Simply put, Oracle Enterprise manager boasts a growing ecosystem that provides the single pane of glass for your entire datacenter from the database and beyond.  Bryce can be contacted at [email protected]

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• How to get faster graphics in KVM? VNC is painfully slow with Haiku OS guest, Spice won't install and SDL doesn't work

  - by Don Quixote

  I've been coming up to speed on the Haiku operating system, an Open Source clone of BeOS 5 Pro. I'm using an Apple MacBook Pro as my development machine. Apple's BootCamp BIOS does not support more than four partitions on the internal hard drive. While I can set up extended and logical partitions, doing so will prevent any of the installed operating systems from booting. To run Haiku directly on the iron, I boot it off a USB stick. Using external storage is also helpful because I am perpetually out of filesystem space. While VirtualBox is documented to allow access to physical drives, I could not actually get it to work. Also VirtualBox can only use one of the host CPU's cores. While VB guests can be configured for more than one CPU, they are only emulated. A full build of the Haiku OS takes 4.5 under VB. I had the hope of reducing build times by using KVM instead, but it's not working nearly as well as VirtualBox did. The Linux Kernel Virtual Machine is broken in all manner of fundamental ways as seen from Haiku. But I'm a coder; maybe I could contribute to fixing some of those problems. The first problem I've got is that Haiku's video in virt-manager is quite painfully slow. When I drag Haiku windows around the desktop, they lag quite far behind where my mouse is. It's quite difficult to move a window to a precise position on the screen. Just imagine that the mouse was connected to the window title bar with a really stretchy spring. Also Haiku's mouse lags quite far behind where I have moved it. I found lots of Personal Package Archives that enable Spice from QEMU / KVM at the Ubuntu Personal Package Arhives. I tried a few of the PPAs but none of them worked; with one of them, the command "add-apt-repository" crashed with a traceback. There is a Wiki page about Spice, but it says that it only works on 64-bit. My Early 2006 MacBook Pro is 32-bit. Its Apple Model Identifier is MacBookPro1,1; these use Core Duos NOT Core 2 Duos. I don't mind building a source deb for 32-bit if I can expect it to work. Is there some reason that Spice should be 64-bit only? Does it need features of the x86_64 Instruction Set Architecture that x86 does not have? When I try using SDL from virt-manager, the configuration for Local SDL Window says "Xauth: /home/mike/.Xauthority". When I try to start my guest, virt-manager emits an error. When I Googled the error message, the usual solution was to make ~/.Xauthority readible. However, .Xauthorty does not exist in my home directory. Instead I have a $XAUTHORITY environment variable. There is no way to configure SDL in virt-manager to use $XAUTHORITY instead of ~/.Xauthority. Neither does it work to copy the value of $XAUTHORITY into the file. I am ready to scream, because I've been five fscking days trying to make KVM work for Haiku development. There is a whole lot more that is broken than the slow video. All I really want to do for now is speed up my full builds of Haiku by using "jam -j2" to use both cores in my CPU. I may try Xen next, but the last time I monkeyed with Xen it was far, far more broken than I am finding KVM to be. Just for now, I would be satisfied if there were some way to use my USB stick as a drive in VirtualBox. VB does allow me to configure /dev/sdb as a drive, but it always causes a fatal error when I try to launch the guest. Thank You For Any Advice You Can Give Me. -

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• Caching factory design

  - by max

  I have a factory class XFactory that creates objects of class X. Instances of X are very large, so the main purpose of the factory is to cache them, as transparently to the client code as possible. Objects of class X are immutable, so the following code seems reasonable: # module xfactory.py import x class XFactory: _registry = {} def get_x(self, arg1, arg2, use_cache = True): if use_cache: hash_id = hash((arg1, arg2)) if hash_id in _registry: return _registry[hash_id] obj = x.X(arg1, arg2) _registry[hash_id] = obj return obj # module x.py class X: # ... Is it a good pattern? (I know it's not the actual Factory Pattern.) Is there anything I should change? Now, I find that sometimes I want to cache X objects to disk. I'll use pickle for that purpose, and store as values in the _registry the filenames of the pickled objects instead of references to the objects. Of course, _registry itself would have to be stored persistently (perhaps in a pickle file of its own, in a text file, in a database, or simply by giving pickle files the filenames that contain hash_id). Except now the validity of the cached object depends not only on the parameters passed to get_x(), but also on the version of the code that created these objects. Strictly speaking, even a memory-cached object could become invalid if someone modifies x.py or any of its dependencies, and reloads it while the program is running. So far I ignored this danger since it seems unlikely for my application. But I certainly cannot ignore it when my objects are cached to persistent storage. What can I do? I suppose I could make the hash_id more robust by calculating hash of a tuple that contains arguments arg1 and arg2, as well as the filename and last modified date for x.py and every module and data file that it (recursively) depends on. To help delete cache files that won't ever be useful again, I'd add to the _registry the unhashed representation of the modified dates for each record. But even this solution isn't 100% safe since theoretically someone might load a module dynamically, and I wouldn't know about it from statically analyzing the source code. If I go all out and assume every file in the project is a dependency, the mechanism will still break if some module grabs data from an external website, etc.). In addition, the frequency of changes in x.py and its dependencies is quite high, leading to heavy cache invalidation. Thus, I figured I might as well give up some safety, and only invalidate the cache only when there is an obvious mismatch. This means that class X would have a class-level cache validation identifier that should be changed whenever the developer believes a change happened that should invalidate the cache. (With multiple developers, a separate invalidation identifier is required for each.) This identifier is hashed along with arg1 and arg2 and becomes part of the hash keys stored in _registry. Since developers may forget to update the validation identifier or not realize that they invalidated existing cache, it would seem better to add another validation mechanism: class X can have a method that returns all the known "traits" of X. For instance, if X is a table, I might add the names of all the columns. The hash calculation will include the traits as well. I can write this code, but I am afraid that I'm missing something important; and I'm also wondering if perhaps there's a framework or package that can do all of this stuff already. Ideally, I'd like to combine in-memory and disk-based caching.

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• Investigating on xVelocity (VertiPaq) column size

  - by Marco Russo (SQLBI)

    In January I published an article about how to optimize high cardinality columns in VertiPaq. In the meantime, VertiPaq has been rebranded to xVelocity: the official name is now “xVelocity in-memory analytics engine (VertiPaq)” but using xVelocity and VertiPaq when we talk about Analysis Services has the same meaning. In this post I’ll show how to investigate on columns size of an existing Tabular database so that you can find the most important columns to be optimized. A first approach can be looking in the DataDir of Analysis Services and look for the folder containing the database. Then, look for the biggest files in all subfolders and you will find the name of a file that contains the name of the most expensive column. However, this heuristic process is not very optimized. A better approach is using a DMV that provides the exact information. For example, by using the following query (open SSMS, open an MDX query on the database you are interested to and execute it) you will see all database objects sorted by used size in a descending way. SELECT * FROM $SYSTEM.DISCOVER_STORAGE_TABLE_COLUMN_SEGMENTS ORDER BY used_size DESC You can look at the first rows in order to understand what are the most expensive columns in your tabular model. The interesting data provided are: TABLE_ID: it is the name of the object – it can be also a dictionary or an index COLUMN_ID: it is the column name the object belongs to – you can also see ID_TO_POS and POS_TO_ID in case they refer to internal indexes RECORDS_COUNT: it is the number of rows in the column USED_SIZE: it is the used memory for the object By looking at the ration between USED_SIZE and RECORDS_COUNT you can understand what you can do in order to optimize your tabular model. Your options are: Remove the column. Yes, if it contains data you will never use in a query, simply remove the column from the tabular model Change granularity. If you are tracking time and you included milliseconds but seconds would be enough, round the data source column to the nearest second. If you have a floating point number but two decimals are good enough (i.e. the temperature), round the number to the nearest decimal is relevant to you. Split the column. Create two or more columns that have to be combined together in order to produce the original value. This technique is described in VertiPaq optimization article. Sort the table by that column. When you read the data source, you might consider sorting data by this column, so that the compression will be more efficient. However, this technique works better on columns that don’t have too many distinct values and you will probably move the problem to another column. Sorting data starting from the lower density columns (those with a few number of distinct values) and going to higher density columns (those with high cardinality) is the technique that provides the best compression ratio. After the optimization you should be able to reduce the used size and improve the count/size ration you measured before. If you are interested in a longer discussion about internal storage in VertiPaq and you want understand why this approach can save you space (and time), you can attend my 24 Hours of PASS session “VertiPaq Under the Hood” on March 21 at 08:00 GMT.

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• Cloud Computing Pricing - It's like a Hotel

  - by BuckWoody

  I normally don't go into the economics or pricing side of Distributed Computing, but I've had a few friends that have been surprised by a bill lately and I wanted to quickly address at least one aspect of it. Most folks are used to buying software and owning it outright - like buying a car. We pay a lot for the car, and then we use it whenever we want. We think of the "cloud" services as a taxi - we'll just pay for the ride we take an no more. But it's not quite like that. It's actually more like a hotel. When you subscribe to Azure using a free offering like the MSDN subscription, you don't have to pay anything for the service. But when you create an instance of a Web or Compute Role, Storage, that sort of thing, you can think of the idea of checking into a hotel room. You get the key, you pay for the room. For Azure, using bandwidth, CPU and so on is billed just like it states in the Azure Portal. so in effect there is a cost for the service and then a cost to use it, like water or power or any other utility. Where this bit some folks is that they created an instance, played around with it, and then left it running. No one was using it, no one was on - so they thought they wouldn't be charged. But they were. It wasn't much, but it was a surprise.They had the hotel room key, but they weren't in the room, so to speak. To add to their frustration, they had to talk to someone on the phone to cancel the account. I understand the frustration. Although we have all this spelled out in the sign up area, not everyone has the time to read through all that. I get that. So why not make this easier? As an explanation, we bill for that time because the instance is still running, and we have to tie up resources to be available the second you want them, and that costs money. As far as being able to cancel from the portal, that's also something that needs to be clearer. You may not be aware that you can spin up instances using code - and so cancelling from the Portal would allow you to do the same thing. Since a mistake in code could erase all of your instances and the account, we make you call to make sure you're you and you really want to take it down. Not a perfect system by any means, but we'll evolve this as time goes on. For now, I wanted to make sure you're aware of what you should do. By the way, you don't have to cancel your whole account not to be billed. Just delete the instance from the portal and you won't be charged. You don't have to call anyone for that. And just FYI - you can download the SDK for Azure and never even hit the online version at all for learning and playing around. No sign-up, no credit card, PO, nothing like that. In fact, that's how I demo Azure all the time. Everything runs right on your laptop in an emulated environment.  

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• Essbase BSO Data Fragmentation

  - by Ann Donahue

  Essbase BSO Data Fragmentation Data fragmentation naturally occurs in Essbase Block Storage (BSO) databases where there are a lot of end user data updates, incremental data loads, many lock and send, and/or many calculations executed.  If an Essbase database starts to experience performance slow-downs, this is an indication that there may be too much fragmentation.  See Chapter 54 Improving Essbase Performance in the Essbase DBA Guide for more details on measuring and eliminating fragmentation: http://docs.oracle.com/cd/E17236_01/epm.1112/esb_dbag/daprcset.html Fragmentation is likely to occur in the following situations: Read/write databases that users are constantly updating data Databases that execute calculations around the clock Databases that frequently update and recalculate dense members Data loads that are poorly designed Databases that contain a significant number of Dynamic Calc and Store members Databases that use an isolation level of uncommitted access with commit block set to zero There are two types of data block fragmentation Free space tracking, which is measured using the Average Fragmentation Quotient statistic. Block order on disk, which is measured using the Average Cluster Ratio statistic. Average Fragmentation Quotient The Average Fragmentation Quotient ratio measures free space in a given database.  As you update and calculate data, empty spaces occur when a block can no longer fit in its original space and will either append at the end of the file or fit in another empty space that is large enough.  These empty spaces take up space in the .PAG files.  The higher the number the more empty spaces you have, therefore, the bigger the .PAG file and the longer it takes to traverse through the .PAG file to get to a particular record.  An Average Fragmentation Quotient value of 3.174765 means the database is 3% fragmented with free space. Average Cluster Ratio Average Cluster Ratio describes the order the blocks actually exist in the database. An Average Cluster Ratio number of 1 means all the blocks are ordered in the correct sequence in the order of the Outline.  As you load data and calculate data blocks, the sequence can start to be out of order.  This is because when you write to a block it may not be able to place back in the exact same spot in the database that it existed before.  The lower this number the more out of order it becomes and the more it affects performance.  An Average Cluster Ratio value of 1 means no fragmentation.  Any value lower than 1 i.e. 0.01032828 means the data blocks are getting further out of order from the outline order. Eliminating Data Block Fragmentation Both types of data block fragmentation can be removed by doing a dense restructure or export/clear/import of the data.  There are two types of dense restructure: 1. Implicit Restructures Implicit dense restructure happens when outline changes are done using EAS Outline Editor or Dimension Build. Essbase restructures create new .PAG files restructuring the data blocks in the .PAG files. When Essbase restructures the data blocks, it regenerates the index automatically so that index entries point to the new data blocks. Empty blocks are NOT removed with implicit restructures. 2. Explicit Restructures Explicit dense restructure happens when a manual initiation of the database restructure is executed. An explicit dense restructure is a full restructure which comprises of a dense restructure as outlined above plus the removal of empty blocks Empty Blocks vs. Fragmentation The existence of empty blocks is not considered fragmentation.  Empty blocks can be created through calc scripts or formulas.  An empty block will add to an existing database block count and will be included in the block counts of the database properties.  There are no statistics for empty blocks.  The only way to determine if empty blocks exist in an Essbase database is to record your current block count, export the entire database, clear the database then import the exported data.  If the block count decreased, the difference is the number of empty blocks that had existed in the database.

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• Know your Data Lineage

  - by Simon Elliston Ball

  An academic paper without the footnotes isn’t an academic paper. Journalists wouldn’t base a news article on facts that they can’t verify. So why would anyone publish reports without being able to say where the data has come from and be confident of its quality, in other words, without knowing its lineage. (sometimes referred to as ‘provenance’ or ‘pedigree’) The number and variety of data sources, both traditional and new, increases inexorably. Data comes clean or dirty, processed or raw, unimpeachable or entirely fabricated. On its journey to our report, from its source, the data can travel through a network of interconnected pipes, passing through numerous distinct systems, each managed by different people. At each point along the pipeline, it can be changed, filtered, aggregated and combined. When the data finally emerges, how can we be sure that it is right? How can we be certain that no part of the data collection was based on incorrect assumptions, that key data points haven’t been left out, or that the sources are good? Even when we’re using data science to give us an approximate or probable answer, we cannot have any confidence in the results without confidence in the data from which it came. You need to know what has been done to your data, where it came from, and who is responsible for each stage of the analysis. This information represents your data lineage; it is your stack-trace. If you’re an analyst, suspicious of a number, it tells you why the number is there and how it got there. If you’re a developer, working on a pipeline, it provides the context you need to track down the bug. If you’re a manager, or an auditor, it lets you know the right things are being done. Lineage tracking is part of good data governance. Most audit and lineage systems require you to buy into their whole structure. If you are using Hadoop for your data storage and processing, then tools like Falcon allow you to track lineage, as long as you are using Falcon to write and run the pipeline. It can mean learning a new way of running your jobs (or using some sort of proxy), and even a distinct way of writing your queries. Other Hadoop tools provide a lot of operational and audit information, spread throughout the many logs produced by Hive, Sqoop, MapReduce and all the various moving parts that make up the eco-system. To get a full picture of what’s going on in your Hadoop system you need to capture both Falcon lineage and the data-exhaust of other tools that Falcon can’t orchestrate. However, the problem is bigger even that that. Often, Hadoop is just one piece in a larger processing workflow. The next step of the challenge is how you bind together the lineage metadata describing what happened before and after Hadoop, where ‘after’ could be  a data analysis environment like R, an application, or even directly into an end-user tool such as Tableau or Excel. One possibility is to push as much as you can of your key analytics into Hadoop, but would you give up the power, and familiarity of your existing tools in return for a reliable way of tracking lineage? Lineage and auditing should work consistently, automatically and quietly, allowing users to access their data with any tool they require to use. The real solution, therefore, is to create a consistent method by which to bring lineage data from these data various disparate sources into the data analysis platform that you use, rather than being forced to use the tool that manages the pipeline for the lineage and a different tool for the data analysis. The key is to keep your logs, keep your audit data, from every source, bring them together and use the data analysis tools to trace the paths from raw data to the answer that data analysis provides.

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• How much is a subscriber worth?

  - by Tom Lewin

  This year at Red Gate, we’ve started providing a way to back up SQL Azure databases and Azure storage. We decided to sell this as a service, instead of a product, which means customers only pay for what they use. Unfortunately for us, it makes figuring out revenue much trickier. With a product like SQL Compare, a customer pays for it, and it’s theirs for good. Sure, we offer support and upgrades, but, fundamentally, the sale is a simple, upfront transaction: we’ve made this product, you need this product, we swap product for money and everyone is happy. With software as a service, it isn’t that easy. The money and product don’t change hands up front. Instead, we provide a service in exchange for a recurring fee. We know someone buying SQL Compare will pay us $X, but we don’t know how long service customers will stay with us, or how much they will spend. How do we find this out? We use lifetime value analysis. What is lifetime value? Lifetime value, or LTV, is how much a customer is worth to the business. For Entrepreneurs has a brilliant write up that we followed to conduct our analysis. Basically, it all boils down to this equation: LTV = ARPU x ALC To make it a bit less of an alphabet-soup and a bit more understandable, we can write it out in full: The lifetime value of a customer equals the average revenue per customer per month, times the average time a customer spends with the service Simple, right? A customer is worth the average spend times the average stay. If customers pay on average $50/month, and stay on average for ten months, then a new customer will, on average, bring in $500 over the time they are a customer! Average spend is easy to work out; it’s revenue divided by customers. The problem comes when we realise that we don’t know exactly how long a customer will stay with us. How can we figure out the average lifetime of a customer, if we only have six months’ worth of data? The answer lies in the fact that: Average Lifetime of a Customer = 1 / Churn Rate The churn rate is the percentage of customers that cancel in a month. If half of your customers cancel each month, then your average customer lifetime is two months. The problem we faced was that we didn’t have enough data to make an estimate of one month’s cancellations reliable (because barely anybody cancels)! To deal with this data problem, we can take data from the last three months instead. This means we have more data to play with. We can still use the equation above, we just need to multiply the final result by three (as we worked out how many three month periods customers stay for, and we want our answer to be in months). Now these estimates are likely to be fairly unreliable; when there’s not a lot of data it pays to be cautious with inference. That said, the numbers we have look fairly consistent, and it’s super easy to revise our estimates when new data comes in. At the very least, these numbers give us a vague idea of whether a subscription business is viable. As far as Cloud Services goes, the business looks very viable indeed, and the low cancellation rates are much more than just data points in LTV equations; they show that the product is working out great for our customers, which is exactly what we’re looking for!

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• Investigating on xVelocity (VertiPaq) column size

  - by Marco Russo (SQLBI)

    In January I published an article about how to optimize high cardinality columns in VertiPaq. In the meantime, VertiPaq has been rebranded to xVelocity: the official name is now “xVelocity in-memory analytics engine (VertiPaq)” but using xVelocity and VertiPaq when we talk about Analysis Services has the same meaning. In this post I’ll show how to investigate on columns size of an existing Tabular database so that you can find the most important columns to be optimized. A first approach can be looking in the DataDir of Analysis Services and look for the folder containing the database. Then, look for the biggest files in all subfolders and you will find the name of a file that contains the name of the most expensive column. However, this heuristic process is not very optimized. A better approach is using a DMV that provides the exact information. For example, by using the following query (open SSMS, open an MDX query on the database you are interested to and execute it) you will see all database objects sorted by used size in a descending way. SELECT * FROM $SYSTEM.DISCOVER_STORAGE_TABLE_COLUMN_SEGMENTS ORDER BY used_size DESC You can look at the first rows in order to understand what are the most expensive columns in your tabular model. The interesting data provided are: TABLE_ID: it is the name of the object – it can be also a dictionary or an index COLUMN_ID: it is the column name the object belongs to – you can also see ID_TO_POS and POS_TO_ID in case they refer to internal indexes RECORDS_COUNT: it is the number of rows in the column USED_SIZE: it is the used memory for the object By looking at the ration between USED_SIZE and RECORDS_COUNT you can understand what you can do in order to optimize your tabular model. Your options are: Remove the column. Yes, if it contains data you will never use in a query, simply remove the column from the tabular model Change granularity. If you are tracking time and you included milliseconds but seconds would be enough, round the data source column to the nearest second. If you have a floating point number but two decimals are good enough (i.e. the temperature), round the number to the nearest decimal is relevant to you. Split the column. Create two or more columns that have to be combined together in order to produce the original value. This technique is described in VertiPaq optimization article. Sort the table by that column. When you read the data source, you might consider sorting data by this column, so that the compression will be more efficient. However, this technique works better on columns that don’t have too many distinct values and you will probably move the problem to another column. Sorting data starting from the lower density columns (those with a few number of distinct values) and going to higher density columns (those with high cardinality) is the technique that provides the best compression ratio. After the optimization you should be able to reduce the used size and improve the count/size ration you measured before. If you are interested in a longer discussion about internal storage in VertiPaq and you want understand why this approach can save you space (and time), you can attend my 24 Hours of PASS session “VertiPaq Under the Hood” on March 21 at 08:00 GMT.

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• Fast Data - Big Data's achilles heel

  - by thegreeneman

  At OOW 2013 in Mark Hurd and Thomas Kurian's keynote, they discussed Oracle's Fast Data software solution stack and discussed a number of customers deploying Oracle's Big Data / Fast Data solutions and in particular Oracle's NoSQL Database.  Since that time, there have been a large number of request seeking clarification on how the Fast Data software stack works together to deliver on the promise of real-time Big Data solutions.   Fast Data is a software solution stack that deals with one aspect of Big Data, high velocity.   The software in the Fast Data solution stack involves 3 key pieces and their integration:  Oracle Event Processing, Oracle Coherence, Oracle NoSQL Database.   All three of these technologies address a high throughput, low latency data management requirement.   Oracle Event Processing enables continuous query to filter the Big Data fire hose, enable intelligent chained events to real-time service invocation and augments the data stream to provide Big Data enrichment. Extended SQL syntax allows the definition of sliding windows of time to allow SQL statements to look for triggers on events like breach of weighted moving average on a real-time data stream.    Oracle Coherence is a distributed, grid caching solution which is used to provide very low latency access to cached data when the data is too big to fit into a single process, so it is spread around in a grid architecture to provide memory latency speed access.  It also has some special capabilities to deploy remote behavioral execution for "near data" processing.   The Oracle NoSQL Database is designed to ingest simple key-value data at a controlled throughput rate while providing data redundancy in a cluster to facilitate highly concurrent low latency reads.  For example, when large sensor networks are generating data that need to be captured while analysts are simultaneously extracting the data using range based queries for upstream analytics.  Another example might be storing cookies from user web sessions for ultra low latency user profile management, also leveraging that data using holistic MapReduce operations with your Hadoop cluster to do segmented site analysis.  Understand how NoSQL plays a critical role in Big Data capture and enrichment while simultaneously providing a low latency and scalable data management infrastructure thru clustered, always on, parallel processing in a shared nothing architecture. Learn how easily a NoSQL cluster can be deployed to provide essential services in industry specific Fast Data solutions. See these technologies work together in a demonstration highlighting the salient features of these Fast Data enabling technologies in a location based personalization service. The question then becomes how do these things work together to deliver an end to end Fast Data solution.  The answer is that while different applications will exhibit unique requirements that may drive the need for one or the other of these technologies, often when it comes to Big Data you may need to use them together.   You may have the need for the memory latencies of the Coherence cache, but just have too much data to cache, so you use a combination of Coherence and Oracle NoSQL to handle extreme speed cache overflow and retrieval.   Here is a great reference to how these two technologies are integrated and work together.  Coherence & Oracle NoSQL Database.   On the stream processing side, it is similar as with the Coherence case.  As your sliding windows get larger, holding all the data in the stream can become difficult and out of band data may need to be offloaded into persistent storage.  OEP needs an extreme speed database like Oracle NoSQL Database to help it continue to perform for the real time loop while dealing with persistent spill in the data stream.  Here is a great resource to learn more about how OEP and Oracle NoSQL Database are integrated and work together.  OEP & Oracle NoSQL Database.

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• DBA Best Practices - A Blog Series: Episode 2 - Password Lists

  - by Argenis

    Digital World, Digital Locks One of the biggest digital assets that any company has is its secrets. These include passwords, key rings, certificates, and any other digital asset used to protect another asset from tampering or unauthorized access. As a DBA, you are very likely to manage some of these assets for your company - and your employer trusts you with keeping them safe. Probably one of the most important of these assets are passwords. As you well know, the can be used anywhere: for service accounts, credentials, proxies, linked servers, DTS/SSIS packages, symmetrical keys, private keys, etc., etc. Have you given some thought to what you're doing to keep these passwords safe? Are you backing them up somewhere? Who else besides you can access them? Good-Ol’ Post-It Notes Under Your Keyboard If you have a password-protected Excel sheet for your passwords, I have bad news for you: Excel's level of encryption is good for your grandma's budget spreadsheet, not for a list of enterprise passwords. I will try to summarize the main point of this best practice in one sentence: You should keep your passwords on an encrypted, access and version-controlled, backed-up, well-known shared location that every DBA on your team is aware of, and maintain copies of this password "database" on your DBA's workstations. Now I have to break down that statement to you: - Encrypted: what’s the point of saving your passwords on a file that any Windows admin with enough privileges can read? - Access controlled: This one is pretty much self-explanatory. - Version controlled: Passwords change (and I’m really hoping you do change them) and version control would allow you to track what a previous password was if the utility you’ve chosen doesn’t handle that for you. - Backed-up: You want a safe copy of the password list to be kept offline, preferably in long term storage, with relative ease of restoring. - Well-known shared location: This is critical for teams: what good is a password list if only one person in the team knows where it is? I have seen multiple examples of this that work well. They all start with an encrypted database. Certainly you could leverage SQL Server's native encryption solutions like cell encryption for this. I have found such implementations to be impractical, for the most part. Enter The World Of Utilities There are a myriad of open source/free software solutions to help you here. One of my favorites is KeePass, which creates encrypted files that can be saved to a network share, Sharepoint, etc. KeePass has UIs for most operating systems, including Windows, MacOS, iOS, Android and Windows Phone. Other solutions I've used before worth mentioning include PasswordSafe and 1Password, with the latter one being a paid solution – but wildly popular in mobile devices. There are, of course, even more "enterprise-level" solutions available from 3rd party vendors. The truth is that most of the customers that I work with don't need that level of protection of their digital assets, and something like a KeePass database on Sharepoint suits them very well. What are you doing to safeguard your passwords? Leave a comment below, and join the discussion! Cheers, -Argenis

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• trying to setup wireless

  - by JohnMerlino

  I'm trying to set up wireless on vostro 1520 dell laptop, with latest Ubuntu install. Here's the output of some of the commands that I was told to run: lshw -C network viggy@ubuntu:~$ lshw -C network WARNING: you should run this program as super-user. *-network description: Ethernet interface product: RTL8111/8168B PCI Express Gigabit Ethernet controller vendor: Realtek Semiconductor Co., Ltd. physical id: 0 bus info: pci@0000:08:00.0 logical name: eth0 version: 03 serial: 00:24:e8:da:84:25 size: 100Mbit/s capacity: 1Gbit/s width: 64 bits clock: 33MHz capabilities: bus_master cap_list rom ethernet physical tp mii 10bt 10bt-fd 100bt 100bt-fd 1000bt 1000bt-fd autonegotiation configuration: autonegotiation=on broadcast=yes driver=r8169 driverversion=2.3LK-NAPI duplex=full firmware=rtl_nic/rtl8168d-1.fw ip=192.168.2.6 latency=0 multicast=yes port=MII speed=100Mbit/s resources: irq:47 ioport:3000(size=256) memory:f6004000-f6004fff memory:f6000000-f6003fff memory:f6020000-f603ffff *-network description: Network controller product: BCM4312 802.11b/g LP-PHY vendor: Broadcom Corporation physical id: 0 bus info: pci@0000:0e:00.0 version: 01 width: 64 bits clock: 33MHz capabilities: bus_master cap_list configuration: driver=b43-pci-bridge latency=0 resources: irq:18 memory:fa000000-fa003fff *-network DISABLED description: Wireless interface physical id: 1 logical name: wlan0 serial: 0c:60:76:05:ee:74 capabilities: ethernet physical wireless configuration: broadcast=yes driver=b43 driverversion=3.2.0-29-generic firmware=N/A multicast=yes wireless=IEEE 802.11bg lspci 00:00.0 Host bridge: Intel Corporation Mobile 4 Series Chipset Memory Controller Hub (rev 07) 00:02.0 VGA compatible controller: Intel Corporation Mobile 4 Series Chipset Integrated Graphics Controller (rev 07) 00:02.1 Display controller: Intel Corporation Mobile 4 Series Chipset Integrated Graphics Controller (rev 07) 00:1a.0 USB controller: Intel Corporation 82801I (ICH9 Family) USB UHCI Controller #4 (rev 03) 00:1a.1 USB controller: Intel Corporation 82801I (ICH9 Family) USB UHCI Controller #5 (rev 03) 00:1a.2 USB controller: Intel Corporation 82801I (ICH9 Family) USB UHCI Controller #6 (rev 03) 00:1a.7 USB controller: Intel Corporation 82801I (ICH9 Family) USB2 EHCI Controller #2 (rev 03) 00:1b.0 Audio device: Intel Corporation 82801I (ICH9 Family) HD Audio Controller (rev 03) 00:1c.0 PCI bridge: Intel Corporation 82801I (ICH9 Family) PCI Express Port 1 (rev 03) 00:1c.1 PCI bridge: Intel Corporation 82801I (ICH9 Family) PCI Express Port 2 (rev 03) 00:1c.2 PCI bridge: Intel Corporation 82801I (ICH9 Family) PCI Express Port 3 (rev 03) 00:1c.3 PCI bridge: Intel Corporation 82801I (ICH9 Family) PCI Express Port 4 (rev 03) 00:1c.4 PCI bridge: Intel Corporation 82801I (ICH9 Family) PCI Express Port 5 (rev 03) 00:1c.5 PCI bridge: Intel Corporation 82801I (ICH9 Family) PCI Express Port 6 (rev 03) 00:1d.0 USB controller: Intel Corporation 82801I (ICH9 Family) USB UHCI Controller #1 (rev 03) 00:1d.1 USB controller: Intel Corporation 82801I (ICH9 Family) USB UHCI Controller #2 (rev 03) 00:1d.2 USB controller: Intel Corporation 82801I (ICH9 Family) USB UHCI Controller #3 (rev 03) 00:1d.7 USB controller: Intel Corporation 82801I (ICH9 Family) USB2 EHCI Controller #1 (rev 03) 00:1e.0 PCI bridge: Intel Corporation 82801 Mobile PCI Bridge (rev 93) 00:1f.0 ISA bridge: Intel Corporation ICH9M LPC Interface Controller (rev 03) 00:1f.2 SATA controller: Intel Corporation 82801IBM/IEM (ICH9M/ICH9M-E) 4 port SATA Controller [AHCI mode] (rev 03) 00:1f.3 SMBus: Intel Corporation 82801I (ICH9 Family) SMBus Controller (rev 03) 08:00.0 Ethernet controller: Realtek Semiconductor Co., Ltd. RTL8111/8168B PCI Express Gigabit Ethernet controller (rev 03) 0e:00.0 Network controller: Broadcom Corporation BCM4312 802.11b/g LP-PHY (rev 01) 1a:00.0 FireWire (IEEE 1394): O2 Micro, Inc. Device 10f7 (rev 01) 1a:00.1 SD Host controller: O2 Micro, Inc. Device 8120 (rev 01) 1a:00.2 Mass storage controller: O2 Micro, Inc. Device 8130 (rev 01) iwconfig lo no wireless extensions. wlan0 IEEE 802.11bg ESSID:off/any Mode:Managed Access Point: Not-Associated Tx-Power=0 dBm Retry long limit:7 RTS thr:off Fragment thr:off Power Management:on eth0 no wireless extensions. At this point in time, I don't have wireless.

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• 4 Key Ingredients for the Cloud

  - by Kellsey Ruppel

  It's a short week here with the US Thanksgiving Holiday. So, before we put on our stretch pants and get ready to belly up to the dinner table for turkey, stuffing and mashed potatoes, let's spend a little time this week talking about the Cloud (kind of like the feathery whipped goodness that tops the infamous Thanksgiving pumpkin pie!) But before we dive into the Cloud, let's do a side by side comparison of the key ingredients for each. Cloud Whipped Cream  Application Integration  1 cup heavy cream  Security  1/4 cup sugar  Virtual I/O  1 teaspoon vanilla  Storage  Chilled Bowl It’s no secret that millions of people are connected to the Internet. And it also probably doesn’t come as a surprise that a lot of those people are connected on social networking sites.  Social networks have become an excellent platform for sharing and communication that reflects real world relationships and they play a major part in the everyday lives of many people. Facebook, Twitter, Pinterest, LinkedIn, Google+ and hundreds of others have transformed the way we interact and communicate with one another.Social networks are becoming more than just an online gathering of friends. They are becoming a destination for ideation, e-commerce, and marketing. But it doesn’t just stop there. Some organizations are utilizing social networks internally, integrated with their business applications and processes and the possibility of social media and cloud integration is compelling. Forrester alone estimates enterprise cloud computing to grow to over $240 billion by 2020. It’s hard to find any current IT project today that is NOT considering cloud-based deployments. Security and quality of service concerns are no longer at the forefront; rather, it’s about focusing on the right mix of capabilities for the business. Cloud vs. On-Premise? Policies & governance models? Social in the cloud? Cloud’s increasing sophistication, security in applications, mobility, transaction processing and social capabilities make it an attractive way to manage information. And Oracle offers all of this through the Oracle Cloud and Oracle Social Network. Oracle Social Network is a secure private network that provides a broad range of social tools designed to capture and preserve information flowing between people, enterprise applications, and business processes. By connecting you with your most critical applications, Oracle Social Network provides contextual, real-time communication within and across enterprises. With Oracle Social Network, you and your teams have the tools you need to collaborate quickly and efficiently, while leveraging the organization’s collective expertise to make informed decisions and drive business forward. Oracle Social Network is available as part of a portfolio of application and platform services within the Oracle Cloud. Oracle Cloud offers self-service business applications delivered on an integrated development and deployment platform with tools to rapidly extend and create new services. Oracle Social Network is pre-integrated with the Fusion CRM Cloud Service and the Fusion HCM Cloud Service within the Oracle Cloud. If you are looking for something to watch as you veg on the couch in a post-turkey dinner hangover, you might consider watching these how-to videos! And yes, it is perfectly ok to have that 2nd piece of pie

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• Asynchrony in C# 5 (Part II)

  - by javarg

  This article is a continuation of the series of asynchronous features included in the new Async CTP preview for next versions of C# and VB. Check out Part I for more information. So, let’s continue with TPL Dataflow: Asynchronous functions TPL Dataflow Task based asynchronous Pattern Part II: TPL Dataflow Definition (by quote of Async CTP doc): “TPL Dataflow (TDF) is a new .NET library for building concurrent applications. It promotes actor/agent-oriented designs through primitives for in-process message passing, dataflow, and pipelining. TDF builds upon the APIs and scheduling infrastructure provided by the Task Parallel Library (TPL) in .NET 4, and integrates with the language support for asynchrony provided by C#, Visual Basic, and F#.” This means: data manipulation processed asynchronously. “TPL Dataflow is focused on providing building blocks for message passing and parallelizing CPU- and I/O-intensive applications”. Data manipulation is another hot area when designing asynchronous and parallel applications: how do you sync data access in a parallel environment? how do you avoid concurrency issues? how do you notify when data is available? how do you control how much data is waiting to be consumed? etc.  Dataflow Blocks TDF provides data and action processing blocks. Imagine having preconfigured data processing pipelines to choose from, depending on the type of behavior you want. The most basic block is the BufferBlock<T>, which provides an storage for some kind of data (instances of <T>). So, let’s review data processing blocks available. Blocks a categorized into three groups: Buffering Blocks Executor Blocks Joining Blocks Think of them as electronic circuitry components :).. 1. BufferBlock<T>: it is a FIFO (First in First Out) queue. You can Post data to it and then Receive it synchronously or asynchronously. It synchronizes data consumption for only one receiver at a time (you can have many receivers but only one will actually process it). 2. BroadcastBlock<T>: same FIFO queue for messages (instances of <T>) but link the receiving event to all consumers (it makes the data available for consumption to N number of consumers). The developer can provide a function to make a copy of the data if necessary. 3. WriteOnceBlock<T>: it stores only one value and once it’s been set, it can never be replaced or overwritten again (immutable after being set). As with BroadcastBlock<T>, all consumers can obtain a copy of the value. 4. ActionBlock<TInput>: this executor block allows us to define an operation to be executed when posting data to the queue. Thus, we must pass in a delegate/lambda when creating the block. Posting data will result in an execution of the delegate for each data in the queue. You could also specify how many parallel executions to allow (degree of parallelism). 5. TransformBlock<TInput, TOutput>: this is an executor block designed to transform each input, that is way it defines an output parameter. It ensures messages are processed and delivered in order. 6. TransformManyBlock<TInput, TOutput>: similar to TransformBlock but produces one or more outputs from each input. 7. BatchBlock<T>: combines N single items into one batch item (it buffers and batches inputs). 8. JoinBlock<T1, T2, …>: it generates tuples from all inputs (it aggregates inputs). Inputs could be of any type you want (T1, T2, etc.). 9. BatchJoinBlock<T1, T2, …>: aggregates tuples of collections. It generates collections for each type of input and then creates a tuple to contain each collection (Tuple<IList<T1>, IList<T2>>). Next time I will show some examples of usage for each TDF block. * Images taken from Microsoft’s Async CTP documentation.

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• New PeopleSoft HCM 9.1 On Demand Standard Edition provides a complete set of IT services at a low, predictable monthly cost

  - by Robbin Velayedam

  At Oracle Open World last month, Oracle announced that we are extending our On Demand offerings with the general availability of PeopleSoft On Demand Standard Edition. Standard Edition represents Oracle’s commitment to providing customers a choice of solutions, technology, and deployment options commensurate with their business needs and future growth. The Standard Edition offering complements the traditional On Demand offerings (Enterprise and Professional Editions) by focusing on a low, predictable monthly cost model that scales with the size of your business.   As part of Oracle's open cloud strategy, customers can freely move PeopleSoft licensed applications between on premise and the various  on demand options as business needs arise.    In today’s business climate, aggressive and creative business objectives demand more of IT organizations. They are expected to provide technology-based solutions to streamline business processes, enable online collaboration and multi-tasking, facilitate data mining and storage, and enhance worker productivity. As IT budgets remain tight in a recovering economy, the challenge becomes how to meet these demands with limited time and resources. One way is to eliminate the variable costs of projects so that your team can focus on the high priority functions and better predict funding and resource needs two to three years out. Variable costs and changing priorities can derail the best laid project and capacity plans. The prime culprits of variable costs in any IT organization include disaster recovery, security breaches, technical support, and changes in business growth and priorities. Customers have an immediate need for solutions that are cheaper, predictable in cost, and flexible enough for long-term growth or capacity changes. The Standard Edition deployment option fulfills that need by allowing customers to take full advantage of the rich business functionality that is inherent to PeopleSoft HCM, while delegating all application management responsibility – such as future upgrades and product updates – to Oracle technology experts, at an affordable and expected price. Standard Edition provides the advantages of the secure Oracle On Demand hosted environment, the complete set of PeopleSoft HCM configurable business processes, and timely management of regular updates and enhancements to the application functionality and underlying technology. Standard Edition has a convenient monthly fee that is scalable by number of employees, which helps align the customer’s overall cost of ownership with its size and anticipated growth and business needs. In addition to providing PeopleSoft HCM applications' world class business functionality and Oracle On Demand's embassy-grade security, Oracle’s hosted solution distinguishes itself from competitors by offering customers the ability to transition between different deployment and service models at any point in the application ownership lifecycle. As our customers’ business and economic climates change, they are free to transition their applications back to on-premise at any time. HCM On Demand Standard Edition is based on configurability options rather than customizations, requiring no additional code to develop or maintain. This keeps the cost of ownership low and time to production less than a month on average. Oracle On Demand offers the highest standard of security and performance by leveraging a state-of-the-art data center with dedicated databases, servers, and secured URL all within a private cloud. Customers will not share databases, environments, platforms, or access portals with other customers because we value how mission critical your data are to your business. Oracle’s On Demand also provides a full breadth of disaster recovery services to provide customers the peace of mind that their data are secure and that backup operations are in place to keep their businesses up and running in the case of an emergency. Currently we have over 50 PeopleSoft customers delegating us with the management of their applications through Oracle On Demand. If you are a customer interested in learning more about the PeopleSoft HCM 9.1 Standard Edition and how it can help your organization minimize your variable IT costs and free up your resources to work on other business initiatives, contact Oracle or your Account Services Representative today.

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• PHP-FPM stops responding and dies [migrated]

  - by user12361

  I'm running Drupal 6 with Nginx 1.5.1 and PHP-FPM (PHP 5.3.26) on a 1GB single core VPS with 3GB of swap space on SSD storage. I just switched from shared hosting to this unmanaged VPS because my site was getting too heavy, so I'm still learning the ropes. I have moderately high traffic, I don't really monitor it closely but Google Adsense usually record close to 30K page views/day. I usually have 50 to 80 authenticated users logged in and a few hundred more anonymous users hitting the Boost static HTML cache at any given moment. The problem I'm having is that PHP-FPM frequently stops responding, resulting in Nginx 502 or 504 errors. I swear I have read every page on the internet about this issue, which seems fairly common, and I've tried endless combinations of configurations, and I can't find a good solution. After restarting Nginx and PHP-FPM, the site runs really fast for a while, and then without warning it simply stops responding. I get a white screen while the browser waits on the server, and after about 30 seconds to a minute it throws an Nginx 502 or 504 error. Sometimes it runs well for 2 minutes, sometimes 5 minutes, sometimes 5 hours, but it always ends up hanging. When I find the server in this state, there is still plenty of free memory (500MB or more) and no major CPU usage, the control and worker PHP-FPM processes are still present, and the server is still pingable and usable via SSH. A reload of PHP-FPM via the init script revives it again. The hangups don't seem to correspond to the amount of traffic, because I observed this behavior consistently when I was testing this configuration on a development VPS with no traffic at all. I've been constantly tweaking the settings, but I can't definitively eliminate the problem. I set Nginx workers to just 1. In the PHP-FPM config I have tried all three of the process managers. "Dynamic" is definitely the least reliable, consistently hanging up after only a few minutes. "Static" also has been unreliable and unpredictable. The least buggy has been "ondemand", but even that is failing me, sometimes after as much as 12 to 24 hours. But I can't leave the server unattended because PHP-FPM dies and never comes back on its own. I tried adjusting the pm.max_children value from as low as 3 to as high as 50, doesn't make a lot of difference, but I currently have it at 10. Same thing for the spare servers values. I also have set pm.max_requests anywhere from 30 to unlimited, and it doesn't seem to make a difference. According to the logs, the PHP-FPM processes are not exiting with SIGSEGV or SIGBUS, but rather with SIGTERM. I get a lot of lines like: WARNING: [pool www] child 3739, script '/var/www/drupal6/index.php' (request: "GET /index.php") execution timed out (38.739494 sec), terminating and: WARNING: [pool www] child 3738 exited on signal 15 (SIGTERM) after 50.004380 seconds from start I actually found several articles that recommend doing a graceful reload of PHP-FPM via cron every few minutes or hours to circumvent this issue. So that's what I did, "/etc/init.d/php-fpm reload" every 5 minutes. So far, it's keeping the lights on. But it feels like a dreadful hack. Is PHP-FPM really that unreliable? Is there anything else I can do? Thanks a lot!

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• Modernizr Rocks HTML5

  - by Laila

  HTML5 is a moving target.  At the moment, we don't know what will be in future versions.  In most circumstances, this really matters to the developer. When you're using Adobe Air, you can be reasonably sure what works, what is there, and what isn't, since you have a version of the browser built-in. With Metro, you can assume that you're going to be using at least IE 10.   If, however,  you are using HTML5 in a web application, then you are going to rely heavily on Feature Detection.  Feature-Detection is a collection of techniques that tell you, via JavaScript, whether the current browser has this feature natively implemented or not Feature Detection isn't just there for the esoteric stuff such as  Geo-location,  progress bars,  <canvas> support,  the new <input> types, Audio, Video, web workers or storage, but is required even for semantic markup, since old browsers make a pigs ear out of rendering this.  Feature detection can't rely just on reading the browser version and inferring from that what works. Instead, you must use JavaScript to check that an HTML5 feature is there before using it.  The problem with relying on the user-agent is that it takes a lot of historical data  to work out what version does what, and, anyway, the user-agent can be, and sometimes is, spoofed. The open-source library Modernizr  is just about the most essential  JavaScript library for anyone using HTML5, because it provides APIs to test for most of the CSS3 and HTML5 features before you use them, and is intelligent enough to alter semantic markup into 'legacy' 'markup  using shims  on page-load  for old browsers. It also allows you to check what video Codecs are installed for playing video. It also provides media queries  and conditional resource-loading (formerly YepNope.js.).  Generally, Modernizr gives you the choice of what you do about browsers that don't support the feature that you want. Often, the best choice is graceful degradation, but the resource-loading feature allows you to dynamically load JavaScript Shims to replace the standard API for missing or defective HTML5 functionality, called 'PolyFills'.  As the Modernizr site says 'Yes, not only can you use HTML5 today, but you can use it in the past, too!' The evolutionary progress of HTML5  requires a more defensive style of JavaScript programming where the programmer adopts a mindset of fearing the worst ( IE 6)  rather than assuming the best, whilst exploiting as many of the new HTML features as possible for the requirements of the site or HTML application.  Why would anyone want the distraction of developing their own techniques to do this when  Modernizr exists to do this for you? Laila

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• Oracle Excellence Award

  - by Hartmut Wiese

  CALL FOR NOMINATIONS 2014 Oracle Excellence Award: Sustainability Innovation Is your organization using an Oracle product to help with a sustainability initiative while reducing costs? Saving energy? Saving gas? Saving paper? For example, you may use Oracle’s Agile Product Lifecycle Management to design more eco-friendly products, Oracle Transportation Management to reduce fleet emissions, Oracle Exadata Database Machine to decrease power and cooling needs while increasing database performance, Oracle Business Intelligence to measure environmental impacts, or one of many other Oracle products. Your organization may be eligible for the 2014 Oracle Excellence Award: Sustainability Innovation. Submit a nomination form located here by Friday June 20 if your company is using any Oracle product to take an environmental lead as well as to reduce costs and improve business efficiencies by using green business practices. These awards will be presented during Oracle OpenWorld 2014 (September 28-October 2) in San Francisco.  Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 About the Award • Winners will be selected from the customer and/or partner nominations. Either a customer, their partner, or Oracle representative can submit the nomination form on behalf of the customer.• There is a nomination form here to discuss your use of Oracle products and how they have helped your sustainability efforts and reduced costs. • Winners will be selected based on the extent of the environmental impact they have had as well as the business efficiencies they have achieved through their combined use of Oracle products. Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 Nomination Eligibility • Your company uses at least one component of Oracle products, whether it's the Oracle database, business applications, Fusion Middleware, or Sun servers/storage. • This solution should be in production or in active development. • Nomination deadline: Friday June 20, 2014. Benefits to Award Winners • Award presented to winners during Oracle OpenWorld by Jeff Henley, Oracle Chairman of the Board • Free Oracle OpenWorld registration pass for each winning customer • 2014 Oracle Excellence Award: Sustainability Innovation award logo for inclusion on your own website &/or press release • Possible placement in Oracle Profit Magazine &/or Oracle Magazine • ‘Enable the Eco-Enterprise’ podcast opportunity See last year's winners here Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 ______________________________________________________________________________________ Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Questions? Send an email to: [email protected] Follow Oracle’s Sustainability Solutions on Twitter, LinkedIn, YouTube, and the Sustainability Matters blog Web page with award details:  http://www.oracle.com/us/products/applications/green/call-for-nominations-185050.html  

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• Integrating Amazon S3 in Java via NetBeans IDE

  - by Geertjan

  To continue from yesterday, let's set up a scenario that enables us to make use of this drag/drop service in NetBeans IDE: The above service is applicable to Amazon S3, an Amazon storage provider that is typically used to store large binary files. In Amazon S3, every object stored is contained in a bucket. Buckets partition the namespace of objects stored in Amazon S3. More on buckets here. Let's use the tools in NetBeans IDE to create a Java application that accesses our Amazon S3 buckets. Create a Java application named "AmazonBuckets" with a main class named "AmazonBuckets". Open the main class and then drag the above service into the main method of the class. Now, NetBeans IDE will create all the other classes and the properties file that you see in the screenshot below. The first thing to do is to open the properties file above and enter the access key and secret: access_key=SOMETHINGsecret=SOMETHINGELSE Now you're all set up. Make sure to, of course, actually have some buckets available: Then rewrite the Java class to parse the XML that is returned via the generated code: package amazonbuckets;import java.io.ByteArrayInputStream;import java.io.IOException;import javax.xml.parsers.DocumentBuilder;import javax.xml.parsers.DocumentBuilderFactory;import javax.xml.parsers.ParserConfigurationException;import org.netbeans.saas.amazon.AmazonS3Service;import org.netbeans.saas.RestResponse;import org.w3c.dom.DOMException;import org.w3c.dom.Document;import org.w3c.dom.Node;import org.w3c.dom.NodeList;import org.xml.sax.InputSource;import org.xml.sax.SAXException;public class AmazonBuckets {    public static void main(String[] args) {        try {            RestResponse result = AmazonS3Service.getBuckets();            String dataAsString = result.getDataAsString();            DocumentBuilderFactory dbFactory = DocumentBuilderFactory.newInstance();            DocumentBuilder dBuilder = dbFactory.newDocumentBuilder();            Document doc = dBuilder.parse(                    new InputSource(new ByteArrayInputStream(dataAsString.getBytes("utf-8"))));            NodeList bucketList = doc.getElementsByTagName("Bucket");            for (int i = 0; i < bucketList.getLength(); i++) {                Node node = bucketList.item(i);                System.out.println("Bucket Name: " + node.getFirstChild().getTextContent());            }        } catch (IOException | ParserConfigurationException | SAXException | DOMException ex) {        }    }}That's all. This is simpler to setup than the scenario described yesterday. Also notice that there are other Amazon S3 services you can interact with from your Java code, again after generating a heap of code after drag/drop into a Java source file: I tried the above, e.g., I created a new Amazon S3 bucket after dragging "createBucket", adding my credentials in the properties file, and then running the code that had been created. I.e., without adding a single line of code I was able to programmatically create new buckets. The above outlines a handy set of tools and techniques to use if you want to let your users store and access data in Amazon S3 buckets directly from the application you've created for them.

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• Multitenancy in SQL Azure

  - by cibrax

  If you are building a SaaS application in Windows Azure that relies on SQL Azure, it’s probably that you will need to support multiple tenants at database level. This is short overview of the different approaches you can use for support that scenario, A different database per tenant A new database is created and assigned when a tenant is provisioned. Pros Complete isolation between tenants. All the data for a tenant lives in a database only he can access. Cons It’s not cost effective. SQL Azure databases are not cheap, and the minimum size for a database is 1GB.  You might be paying for storage that you don’t really use. A different connection pool is required per database. Updates must be replicated across all the databases You need multiple backup strategies across all the databases Multiple schemas in a database shared by all the tenants A single database is shared among all the tenants, but every tenant is assigned to a different schema and database user. Pros You only pay for a single database. Data is isolated at database level. If the credentials for one tenant is compromised, the rest of the data for the other tenants is not. Cons You need to replicate all the database objects in every schema, so the number of objects can increase indefinitely. Updates must be replicated across all the schemas. The connection pool for the database must maintain a different connection per tenant (or set of credentials) A different user is required per tenant, which is stored at server level. You have to backup that user independently. Centralizing the database access with store procedures in a database shared by all the tenants A single database is shared among all the tenants, but nobody can read the data directly from the tables. All the data operations are performed through store procedures that centralize the access to the tenant data. The store procedures contain some logic to map the database user to an specific tenant. Pros You only pay for a single database. You only have a set of objects to maintain and backup. Cons There is no real isolation. All the data for the different tenants is shared in the same tables. You can not use traditional ORM like EF code first for consuming the data. A different user is required per tenant, which is stored at server level. You have to backup that user independently. SQL Federations A single database is shared among all the tenants, but a different federation is used per tenant. A federation in few words, it’s a mechanism for horizontal scaling in SQL Azure, which basically uses the idea of logical partitions to distribute data based on certain criteria. Pros You only have a single database with multiple federations. You can use filtering in the connections to pick the right federation, so any ORM could be used to consume the data. Cons There is no real isolation at that database level. The isolation is enforced programmatically with federations.

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• 11gR2 RAC ASM????

  - by Liu Maclean(???)

  11gR2 RAC?ocr?votedisk???????ASM??, ????10g??????2?RAC????????????,  ?? 11gR2 ?ASM?spfile??????ASM diskgroup???????ASM??????? ????????????,????? ASM?????mount diskgroup??????diskgroup????, ??ASM??????ASM spfile????????,?2???????? ????T.askmaclean.com?????ASM?????: hello maclean, ??spfile??ASMCMD> spget+CRSDG/rac/asmparameterfile/registry.253.787925627?????,ASM ?????ORACLE instance,?????????????diskgroup,????????????????????????????thanks.! ?????????: ?11.2??Oracle Cluterware??voting disk files?????????11.1?10.2????,11.2??voting disk file??????OCR?, ?????11.2??ocr?votedisk?????ASM? , ???11.2?voting disk file??GPNP profile??CSS voting file discovery string???? CSS voting disk file?discovery string???ASM,??????ASM discovery string???  ????????udev???????ASM???LUN, ??udev????????/dev/rasm-disk* , ????gpnptool get????gpnp profile: [grid@maclean1 trace]$ gpnptool get Warning: some command line parameters were defaulted. Resulting command line: /g01/grid/app/11.2.0/grid/bin/gpnptool.bin get -o- <?xml version="1.0" encoding="UTF-8"?><gpnp:GPnP-Profile Version="1.0" xmlns="http://www.grid-pnp.org/2005/11/gpnp-profile" xmlns:gpnp="http://www.grid-pnp.org/2005/11/gpnp-profile" xmlns:orcl="http://www.oracle.com/gpnp/2005/11/gpnp-profile" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.grid-pnp.org/2005/11/gpnp-profile gpnp-profile.xsd" ProfileSequence="9" ClusterUId="452185be9cd14ff4ffdc7688ec5439bf" ClusterName="maclean-cluster" PALocation=""><gpnp:Network-Profile><gpnp:HostNetwork id="gen" HostName="*"><gpnp:Network id="net1" IP="192.168.1.0" Adapter="eth0" Use="public"/><gpnp:Network id="net2" IP="172.168.1.0" Adapter="eth1" Use="cluster_interconnect"/></gpnp:HostNetwork></gpnp:Network-Profile>< orcl:CSS-Profile id="css" DiscoveryString="+asm" LeaseDuration="400"/><orcl:ASM-Profile id="asm" DiscoveryString="/dev/rasm*" SPFile="+SYSTEMDG/maclean-cluster/asmparameterfile/registry.253.788682933"/>< ds:Signature xmlns:ds="http://www.w3.org/2000/09/xmldsig#"><ds:SignedInfo><ds:CanonicalizationMethod Algorithm="http://www.w3.org/2001/10/xml-exc-c14n#"/><ds:SignatureMethod Algorithm="http://www.w3.org/2000/09/xmldsig#rsa-sha1"/><ds:Reference URI=""><ds:Transforms><ds:Transform Algorithm="http://www.w3.org/2000/09/xmldsig#enveloped-signature"/><ds:Transform Algorithm="http://www.w3.org/2001/10/xml-exc-c14n#"> <InclusiveNamespaces xmlns="http://www.w3.org/2001/10/xml-exc-c14n#" PrefixList="gpnp orcl xsi"/></ds:Transform></ds:Transforms>< ds:DigestMethod Algorithm="http://www.w3.org/2000/09/xmldsig#sha1"/><ds:DigestValue>L1SLg10AqGEauCQ4ne9quucITZA=</ds:DigestValue>< /ds:Reference></ds:SignedInfo><ds:SignatureValue>rTyZm9vfcQCMuian6isnAThUmsV4xPoK2fteMc1l0GIvRvHncMwLQzPM/QrXCGGTCEvgvXzUPEKzmdX2oy5vLcztN60UHr6AJtA2JYYodmrsFwEyVBQ1D6wH+HQiOe2SG9UzdQnNtWSbjD4jfZkeQWyMPfWdKm071Ek0Rfb4nxE=</ds:SignatureValue></ds:Signature></gpnp:GPnP-Profile> Success. ?????2???: <orcl:CSS-Profile id=”css” DiscoveryString=”+asm” LeaseDuration=”400?/>==»css voting disk??+ASM<orcl:ASM-Profile id=”asm” DiscoveryString=”/dev/rasm*” SPFile=”+SYSTEMDG/maclean-cluster/asmparameterfile/registry.253.788682933?/>==»??????ASM?DiscoveryString=”/dev/rasm*”,?ASM??????????????,SPFILE???ASM Parameter FILE?ALIAS ???????GPNP???ASM Parameter FILE?ALIAS,?????ASM???????SPFILE,???Diskgroup?Mount???????ASM ALIAS?????? ??????+SYSTEMDG/maclean-cluster/asmparameterfile/registry.253.788682933??SPFILE?ASM??????: [grid@maclean1 wallets]$ sqlplus / as sysasm SQL*Plus: Release 11.2.0.3.0 Production on Tue Jul 17 05:45:35 2012 Copyright (c) 1982, 2011, Oracle. All rights reserved. Connected to: Oracle Database 11g Enterprise Edition Release 11.2.0.3.0 - 64bit Production With the Real Application Clusters and Automatic Storage Management options SQL> set linesize 140 pagesize 1400 col "FILE NAME" format a40 set head on select NAME "FILE NAME", AU_KFFXP "AU NUMBER", NUMBER_KFFXP "FILE NUMBER", DISK_KFFXP "DISK NUMBER" from x$kffxp, v$asm_alias where GROUP_KFFXP = GROUP_NUMBER and NUMBER_KFFXP = FILE_NUMBER and name in ('REGISTRY.253.788682933') order by DISK_KFFXP,AU_KFFXP; FILE NAME AU NUMBER FILE NUMBER DISK NUMBER ---------------------------------------- ---------- ----------- ----------- REGISTRY.253.788682933 39 253 1 REGISTRY.253.788682933 35 253 3 REGISTRY.253.788682933 35 253 4 SQL> col path for a50 SQL> select disk_number,path from v$asm_disk where disk_number in (1,3,4) and GROUP_NUMBER=3; DISK_NUMBER PATH ----------- -------------------------------------------------- 3 /dev/rasm-diske 4 /dev/rasm-diskf 1 /dev/rasm-diskc ?????ASM SPFILE??????(redundancy=high),????? /dev/rasm-diskc?AU=39?/dev/rasm-diske AU=35?/dev/rasm-diskf AU=35? ????kfed?????????ASM DISK?header: [grid@maclean1 wallets]$ kfed read /dev/rasm-diske|grep spfile kfdhdb.spfile: 35 ; 0x0f4: 0x00000023 [grid@maclean1 wallets]$ kfed read /dev/rasm-diskc|grep spfile kfdhdb.spfile: 39 ; 0x0f4: 0x00000027 [grid@maclean1 wallets]$ kfed read /dev/rasm-diskf|grep spfile kfdhdb.spfile: 35 ; 0x0f4: 0x00000023 ????ASM disk header?kfdhdb.spfile??ASM SPFILE???DISK??AU NUMBER????, ASM???????????GPNP PROFILE?? DiscoveryString?????????,????ASM disk header?????kfdhdb.spfile??????,?????MOUNT DISKGROUP??????ASM SPFILE,?????ASM, ?????????????????

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• ?SPARC T4?????????????·???? : Netra SPARC T4-1

  - by user13138700

  ?SPARC T4???????????????·??????? Netra SPARC T4-1 ???? Netra SPARC T4-2 ?2012?1?10??????????3?15??????????????(????) ?????????? Netra SPARC T4-1 ? 4core ???( T4 ???????? 4core ???)(*)???????????????????????????(*)( Netra SPARC T4-1 ?????? 4core ???? 8core ????????) ??? prtdiag ????? pginfo ??????????????? 8????/1core ???? prtdiag ????????4core=32???????????????pginfo ?????????????????core ???????????????????? # ./prtdiag -v System Configuration: Oracle Corporation sun4v Netra SPARC T4-1 ???????: 130560 M ??? ================================ ?? CPU ================================ CPU ID Frequency Implementation Status ------ --------- ---------------------- ------- 0 2848 MHz SPARC-T4 on-line 1 2848 MHz SPARC-T4 on-line 2 2848 MHz SPARC-T4 on-line 3 2848 MHz SPARC-T4 on-line 4 2848 MHz SPARC-T4 on-line 5 2848 MHz SPARC-T4 on-line 6 2848 MHz SPARC-T4 on-line 7 2848 MHz SPARC-T4 on-line 8 2848 MHz SPARC-T4 on-line 9 2848 MHz SPARC-T4 on-line 10 2848 MHz SPARC-T4 on-line 11 2848 MHz SPARC-T4 on-line 12 2848 MHz SPARC-T4 on-line 13 2848 MHz SPARC-T4 on-line 14 2848 MHz SPARC-T4 on-line 15 2848 MHz SPARC-T4 on-line 16 2848 MHz SPARC-T4 on-line 17 2848 MHz SPARC-T4 on-line 18 2848 MHz SPARC-T4 on-line 19 2848 MHz SPARC-T4 on-line 20 2848 MHz SPARC-T4 on-line 21 2848 MHz SPARC-T4 on-line 22 2848 MHz SPARC-T4 on-line 23 2848 MHz SPARC-T4 on-line 24 2848 MHz SPARC-T4 on-line 25 2848 MHz SPARC-T4 on-line 26 2848 MHz SPARC-T4 on-line 27 2848 MHz SPARC-T4 on-line 28 2848 MHz SPARC-T4 on-line 29 2848 MHz SPARC-T4 on-line 30 2848 MHz SPARC-T4 on-line 31 2848 MHz SPARC-T4 on-line ======================= Physical Memory Configuration ======================== ???? # pginfo -p -T 0 (System [system,chip]) CPUs: 0-31 `-- 3 (Data_Pipe_to_memory [system,chip]) CPUs: 0-31 |-- 2 (Floating_Point_Unit [core]) CPUs: 0-7 | `-- 1 (Integer_Pipeline [core]) CPUs: 0-7 |-- 5 (Floating_Point_Unit [core]) CPUs: 8-15 | `-- 4 (Integer_Pipeline [core]) CPUs: 8-15 |-- 7 (Floating_Point_Unit [core]) CPUs: 16-23 | `-- 6 (Integer_Pipeline [core]) CPUs: 16-23 `-- 9 (Floating_Point_Unit [core]) CPUs: 24-31 `-- 8 (Integer_Pipeline [core]) CPUs: 24-31 T4 ????????????????????????????????????????????????? T3 ?????(S2 core)?????T4 ?????(S3 core)?????????????5???????????? T3 ?????(S2 core)?????????????????????????(????????)?????????????????????????????????????????????·???????????????????????????????????????? ????T4 ????????????????????????????T4 ??????????·??????? Netra SPARC T4-1 4core ????????????????????????????????????T3 ???????????????????????????? ?????????Netra SPARC T4-1 ??????????????? Netra SPARC T4-1 ?? Computing 1 x SPARC T4 4?? 32???? or 8 ?? 64 ???? 2.85GHz CPU (1?????8????) 16 x DDR3 DIMM (?? 256GB ?????16GB DIMM ???) I/O and Storage 3 x Low Profile PCI-Express Gen2 ???? (2 x 10Gb Ethernet XAUI ???????) 2 x Full-height Half-length PCI-Express Gen2 ???? 4 x 10/100/1000 Ethernet ???????? 4 x 2.5” SAS2 HDD 4 x USB ??? (?? 2, ?? 2) RAS and Management and Power Supply ???? (RAID????), ????PSU ?????????? ILOM?????????????? 2N (1+1) , AC ???? DC ?? Support OS Oracle Solaris 10 10/9, 9/10, 8/11, Oracle Solaris 11 11/11 Oracle VM Server for SPARC 2.1 (LDoms) ???? ??? NEBS Level3?? ??????21” 19”(EIA-310D),23”,24”,600mm????? ?????(?????)????????? ????SPARC T4 ????????SPARC T4 ?????????????????????????(4???)???????????? Oracle OpenWorld Tokyo 2012 ?3??(4/4(?)?4/5(?)?4/6(?))?????????????????????&?????????????????SPARC T4 ?????????????????????????????????·?????????????????SPARC T4 ???????????????????!? Oracle OpenWorld Tokyo 2012 http://www.oracle.com/openworld/jp-ja/index.html ????·???????????? 4/6(?) Develop D3-13 (14:00 - 14:45) ???????????49 ??? ?????? 7264 ???????????????

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• ????????????????

  - by Yusuke.Yamamoto

  ????????? ????????? ????????? ????·???? ?????:Oracle???????·??????(????)??:?????????????? Pickup!:IT???????????!|????????:100???????!|???????????? ????????:?Oracle DB?????????????????????Windows?VMware?? ?????:Oracle OpenWorld Tokyo 2012|JavaOne Tokyo 2012|??????:151 ?OTN ???? ?????? ????????:???????100???????! ?????????????????Amazon????Get! ???? Oracle Technology Network, ????/????, ??IT???????·?????????????? ???????/???MySQL?????? ?????? ???????/???MySQL????? ?????????Oracle VM VirtualBox????Oracle Real Application Clusters (RAC) 11g Release 2????? ???????/??????????????????????????????? ???????/?????????????/????·????????Flashback Database with SSD? ????? ????? Oracle?????????????????????????!???????????? Oracle Enterprise Manager 12c(EM12c):????????? ~????????~ ???????????!??????·??????? Oracle Linux 5.8?????????? ???DB?????Oracle SQL Developer 3.1???????????? Oracle??????(OUI:Oracle Universal Installer)???? ????? ???? ????????? ????????????·???????? ????????????? ???????? 11gR2 ?????????? Oracle Database 11g R2 Oracle WebLogic Server 11g R1 Oracle Enterprise Manager 11g R1 ????? ????????? Oracle Database ????????????????·?? ???????/???????????????? ?????????(????????, ???, etc) ????????(???, ?????, REDO, ???·????, etc) ????·?????????????????(?????, ???, ??, ??, ??? etc) ????·?????????(??, etc) ????????????? ???????????????????·?????? ??????? ???? ????????·??|SQL Server Windows Server ??????????PL/SQL|Java|.NET|PHP ??/??? ORACLE MASTER ???? DWH(?????????)??·?? ????? ?????(SAN, NAS, SSD, etc) Oracle Database ??????? Amazon EC2 Microsoft Excel Microsoft Visual Studio MSFC/MSCS(Microsoft Cluster Service) SAP ??·??????? Oracle Database Oracle Database 11g Release 2(11gR2) Oracle Database Standard Edition ????????: Advanced Compression ?????????: Advanced Security Application Express(APEX) Automatic Storage Management(ASM) SSD???Oracle???: Database Smart Flash Cache ??????????: Data Guard/Active Data Guard Data Pump Oracle Data Provider for .NET(ODP.NET) ????: Oracle Text Partitioning(???????/?????????) DB????: Real Application Clusters(RAC) Real Application Testing Recovery Manager(RMAN) SQL*Loader|SQL*Plus|Statspack ??????|????????|???????? Database Appliance Database Firewall Exadata Database Machine SQL Developer ?????DB: TimesTen In-Memory Database Oracle Fusion Middleware Java Oracle Coherence Oracle Data Integrator(ODI) Oracle GoldenGate Oracle JRockit JVM Oracle WebLogic Server Oracle Enterprise Manager for Database|for Middleware ????????????: Oracle Application Testing Suite Oracle Linux Oracle Solaris DTrace|ZFS|???/???? Oracle VM Server for x86 ?????? ???????? ?????????Oracle???????????????·????????????????? ?????????(??·??????) OTN??????(??????) ???????(????????) Oracle University(??) ??????! ?????... ????? ?????? ????? ?????? ?????|?Sun?? ???????? OTN???????? OTN(????) ?????? ???? OTN???|???? OTN?????? ??????? ?????? ???????? ???? ???????

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• Add a row to UITableView for adding new item?

  - by David.Chu.ca

  In order to provide UI for user to add new items to my table view, I would like to add a new row in my table at a specified location (last row for example) when the view is in edit mode (I have a edit button on the view's navigation bar right side). This new row will have a add button indicator on the left side and disclosure accessory arrow on the right. When the view is not in edit mode, this add row should not be displayed. I am not sure if I should overwrite: - (void)setEditing:(BOOL)editing animated:(BOOL)animated{...} where I call the UITableView's method: insertRowsAtIndexPaths:(NSArray *)indexPaths withRowAnimation: (UITableViewRowAnimation)animation to insert a new row? My understanding is that this call may add a new row into the table view. The table view's data source is from CoreData storage. Not sure this may cause inconsistent numbers of data in the data store and table view? If it is OK and I have to manage rows in the table view, how can I add left add indicator and left disclosure arrow to the new row? Another question is that if I can do it to insert a new row as Add row, should I remove it when the table view not in edit mode? Just want to know if I am on the right track.

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• Sending formatted Lotus Notes rich text email from Excel VBA

  - by Lunatik

  I have little Lotus Script or Notes/Domino knowledge but I have a procedure, copied from somewhere a long time ago, that allows me to email through Notes from VBA. I normally only use this for internal notifications where the formatting hasn't really mattered. I now want to use this to send external emails to a client, and corporate types would rather the email complied with our style guide (a sans-serif typeface basically). I was about to tell them that the code only works with plain text, but then I noticed that the routine does reference some sort of CREATERICHTEXTITEM object. Does this mean I could apply some sort of formatting to the body text string after it has been passed to the mail routine? As well as upholding our precious brand values, this would be quite handy to me for highlighting certain passages in the email. I've had a dig about the 'net to see if this code could be adapted, but being unfamiliar with Notes' object model, and the fact that online Notes resources seem to mirror the application's own obtuseness, meant I didn't get very far. The code: Sub sendEmail(EmailSubject As String, EMailSendTo As String, EMailBody As String, MailServer as String) Dim objNotesSession As Object Dim objNotesMailFile As Object Dim objNotesDocument As Object Dim objNotesField As Object Dim sendmail As Boolean 'added for integration into reporting tool Dim dbString As String dbString = "mail\" & Application.UserName & ".nsf" On Error GoTo SendMailError 'Establish Connection to Notes Set objNotesSession = CreateObject("Notes.NotesSession") On Error Resume Next 'Establish Connection to Mail File Set objNotesMailFile = objNotesSession.GETDATABASE(MailServer, dbString) 'Open Mail objNotesMailFile.OPENMAIL On Error GoTo 0 'Create New Memo Set objNotesDocument = objNotesMailFile.createdocument Dim oWorkSpace As Object, oUIdoc As Object Set oWorkSpace = CreateObject("Notes.NotesUIWorkspace") Set oUIdoc = oWorkSpace.CurrentDocument 'Create 'Subject Field' Set objNotesField = objNotesDocument.APPENDITEMVALUE("Subject", EmailSubject) 'Create 'Send To' Field Set objNotesField = objNotesDocument.APPENDITEMVALUE("SendTo", EMailSendTo) 'Create 'Copy To' Field Set objNotesField = objNotesDocument.APPENDITEMVALUE("CopyTo", EMailCCTo) 'Create 'Blind Copy To' Field Set objNotesField = objNotesDocument.APPENDITEMVALUE("BlindCopyTo", EMailBCCTo) 'Create 'Body' of memo Set objNotesField = objNotesDocument.CREATERICHTEXTITEM("Body") With objNotesField .APPENDTEXT emailBody .ADDNEWLINE 1 End With 'Send the e-mail Call objNotesDocument.Save(True, False, False) objNotesDocument.SaveMessageOnSend = True 'objNotesDocument.Save objNotesDocument.Send (0) 'Release storage Set objNotesSession = Nothing Set objNotesMailFile = Nothing Set objNotesDocument = Nothing Set objNotesField = Nothing 'Set return code sendmail = True Exit Sub SendMailError: Dim Msg Msg = "Error # " & Str(Err.Number) & " was generated by " _ & Err.Source & Chr(13) & Err.Description MsgBox Msg, , "Error", Err.HelpFile, Err.HelpContext sendmail = False End Sub

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