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  • MYSQL – Identifying Current Version of MySQL Server Installation – Part 2

    - by Pinal Dave
    Earlier I wrote an article about Detecting Current Version of MySQL Server Installation. After the post quite a few emails I received where various users suggested that there are many more ways to figure out the version of MySQL. Here are few of the methods which I received in the email. Method 1: This method retrieves value with the help of Information Functions. SELECT VERSION(); Method 2: This method is very similar to SQL Server. SELECT @@Version Method 3: You can connect to MySQL with command prompt and type following command: STATUS; Method 4: Please refer my earlier blog post. SHOW VARIABLES LIKE "%version%"; Let me know if you know any more method and I will extend this blog post. Reference : Pinal Dave (http://blog.SQLAuthority.com)Filed under: MySQL, PostADay, SQL, SQL Authority, SQL Query, SQL Tips and Tricks, T SQL

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  • MySQL – Introduction to User Defined Variables

    - by Pinal Dave
    MySQL supports user defined variables to have some data that can be used later part of your query. You can save a value to a variable using a SELECT statement and later you can access its value. Unlike other RDBMSs, you do not need to declare the data type for a variable. The data type is automatically assumed when you assign a value. A value can be assigned to a variable using a SET command as shown below SET @server_type:='MySQL'; When you above command is executed, the value, MySQL is assigned to the variable called @server_type. Now you can use this variable in the later part of the code. Suppose if you want to display the value, you can use SELECT statement. SELECT @server_type; The result is MySQL. Once the value is assigned it remains for the entire session until changed by the later statements. So unlike SQL Server, you do not need to have this as part the execution code every time. (Because in SQL Server, the variables are execution scoped and dropped after the execution). You can give column name as below SELECT @server_type AS server_type; You can also SELECT statement to DECLARE and SELECT the values for a variable. SELECT @message:='Welcome to MySQL' AS MESSAGE; The result is Message -------- Welcome to MySQL You can make use of variables to effectively apply many logics. One of the useful method is to generate the row number as shown in this post MySQL – Generating Row Number for Each Row using Variable. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: MySQL, PostADay, SQL, SQL Authority, SQL Query, SQL Tips and Tricks, T SQL

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  • SQL SERVER – Technical Reference Guides for Designing Mission-Critical Solutions – A Must Read

    - by pinaldave
    Yesterday I was reading architecture reference material helping my friend who was looking for material in this respect. While working together we were searching twitter, facebook and search engines to find relevant material.While searching online we end up on very interactive reference point. Once I send the same to him, he replied he may not need anything more after referencing this material. The best part of this article was it gives access to various aspect of the technology of the image map. Here is the abstract of the original article from the site: The Technical Reference Guides for Designing Mission-Critical Solutions provide planning and architecture guidance for various mission-critical workloads deployed by users. These guides reflect the knowledge gained by Microsoft while working with customers on mission-critical deployments. Each guide provides not only the key technical concepts and information helpful for design, but also “lessons learned,” best practices, and references to customer case studies. Once you click on any of the desired topic, you will see further detailed image map of the selected topic. Personally once I ended up on this site, I was there for more than 2 hours clicking through various links. Click on image to see larger image Read more here: Technical Reference Guides for Designing Mission-Critical Solutions Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL White Papers, T SQL, Technology

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  • MYSQL – Detecting Current Version of MySQL Server Installation

    - by Pinal Dave
    Here is one of the most popular questions which I receive which is related to MySQL installation. The question is how do I know which version of the MySQL I have installed on my server. Here is the simple trick which works all the time. Connect to your MySQL engine with the help of Command Prompt or MySQL Workbench. When you execute the following command it will give us all the necessary information related to MySQL Version. SHOW VARIABLES LIKE "%version%"; Here is the screenshot of the result which I receive when I ran above command on my Test Server. Reference : Pinal Dave (http://blog.SQLAuthority.com) Filed under: MySQL, PostADay, SQL, SQL Authority, SQL Query, SQL Tips and Tricks, T SQL

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  • SQLAuthority News – MSDN Flash Mentions – TechNet Flash Mention – Top Community Contributors (Annual

    - by pinaldave
    I was going over my email to reach the famous Inbox(0), I found TechNet Flash and MSDN Flash email. I had kept them because those email editions had mentioned me in the same. I quickly took the screenshot for the same. I am posting them here to refer them back again. It is always good idea to store important information for revisiting memory lane. As a recent update, Microsoft has awarded me Top Community Contributors (Annual) Winners. I want to express that I would have not done without your valuable contribution. I want to dedicate the award to all of you, as without your presence I would have not given this prestigious award. I could have not done this with myself only. I had complete support of Jacob Sebastian (SQL Server MVP) for all of the community related activity. Here are few images. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: About Me, Pinal Dave, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLAuthority News, T SQL, Technology

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  • MySQL – How to Write Loop in MySQL

    - by Pinal Dave
    Since, I have written courses on MySQL, I quite often get emails about MySQL courses. Here is the question, which I have received quite often. “How do I loop queries in MySQL?” Well, currently MySQL does not allow to write loops with the help of ad-hoc SQL. You have to write stored procedure (routine) for the same. Here is the example, how we can create a procedure in MySQL which will look over the code. In this example I have used SELECT 1 statement and looped over it. In reality you can put there any code and loop over it. This procedure accepts one parameter which is the number of the count the loop will iterate itself. delimiter // CREATE PROCEDURE doiterate(p1 INT) BEGIN label1: LOOP SET p1 = p1 - 1; IF p1 > 0 THEN SELECT 1; ITERATE label1; END IF; LEAVE label1; END LOOP label1; END// delimiter ; CALL doiterate(100); You can also use WHILE to loop as well, we will see that in future blog posts. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: MySQL, PostADay, SQL, SQL Authority, SQL Query, SQL Tips and Tricks, T SQL

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  • MySQL – Export the Resultset to CSV file

    - by Pinal Dave
    In SQL Server, you can use BCP command to export the result set to a csv file. In MySQL too, You can export data from a table or result set as a csv file in many methods. Here are two methods. Method 1 : Make use of Work Bench If you are using Work Bench as a querying tool, you can make use of it’s Export option in the result window. Run the following code in Work Bench SELECT db_names FROM mysql_testing; The result will be shown in the result windows. There is an option called “File”. Click on it and it will prompt you a window to save the result set (Screen shot attached to show how file option can be used). Choose the directory and type out the name of the file. Method 2 : Make use of OUTFILE command You can do the export using a query with OUTFILE command as shown below SELECT db_names FROM mysql_testing INTO OUTFILE 'C:/testing.csv' FIELDS ENCLOSED BY '"' TERMINATED BY ';' ESCAPED BY '"' LINES TERMINATED BY '\r\n'; After the execution of the above code, you can find a file named testing.csv in C drive of the server. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: MySQL, PostADay, SQL, SQL Authority, SQL Query, SQL Tips and Tricks, T SQL Tagged: CSV

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  • Big Data – Basics of Big Data Architecture – Day 4 of 21

    - by Pinal Dave
    In yesterday’s blog post we understood how Big Data evolution happened. Today we will understand basics of the Big Data Architecture. Big Data Cycle Just like every other database related applications, bit data project have its development cycle. Though three Vs (link) for sure plays an important role in deciding the architecture of the Big Data projects. Just like every other project Big Data project also goes to similar phases of the data capturing, transforming, integrating, analyzing and building actionable reporting on the top of  the data. While the process looks almost same but due to the nature of the data the architecture is often totally different. Here are few of the question which everyone should ask before going ahead with Big Data architecture. Questions to Ask How big is your total database? What is your requirement of the reporting in terms of time – real time, semi real time or at frequent interval? How important is the data availability and what is the plan for disaster recovery? What are the plans for network and physical security of the data? What platform will be the driving force behind data and what are different service level agreements for the infrastructure? This are just basic questions but based on your application and business need you should come up with the custom list of the question to ask. As I mentioned earlier this question may look quite simple but the answer will not be simple. When we are talking about Big Data implementation there are many other important aspects which we have to consider when we decide to go for the architecture. Building Blocks of Big Data Architecture It is absolutely impossible to discuss and nail down the most optimal architecture for any Big Data Solution in a single blog post, however, we can discuss the basic building blocks of big data architecture. Here is the image which I have built to explain how the building blocks of the Big Data architecture works. Above image gives good overview of how in Big Data Architecture various components are associated with each other. In Big Data various different data sources are part of the architecture hence extract, transform and integration are one of the most essential layers of the architecture. Most of the data is stored in relational as well as non relational data marts and data warehousing solutions. As per the business need various data are processed as well converted to proper reports and visualizations for end users. Just like software the hardware is almost the most important part of the Big Data Architecture. In the big data architecture hardware infrastructure is extremely important and failure over instances as well as redundant physical infrastructure is usually implemented. NoSQL in Data Management NoSQL is a very famous buzz word and it really means Not Relational SQL or Not Only SQL. This is because in Big Data Architecture the data is in any format. It can be unstructured, relational or in any other format or from any other data source. To bring all the data together relational technology is not enough, hence new tools, architecture and other algorithms are invented which takes care of all the kind of data. This is collectively called NoSQL. Tomorrow Next four days we will answer the Buzz Words – Hadoop. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • MySQL – Beginning Temporary Tables in MySQL

    - by Pinal Dave
    MySQL supports Temporary tables to store the resultsets temporarily for a given connection. Temporary tables are created with the keyword TEMPORARY along with the CREATE TABLE statement. Let us create the temporary table named Temp CREATE TEMPORARY TABLE TEMP (id INT); Now you can find out the column names using DESC command DESC TEMP; The above returns the following result This table can be accessed only for the current connection and it can be used like a permanent table and automatically dropped when the connection is closed. However, you can not find temporary tables using INFORMATION_SCHEMA. TABLES system view. It will only list out the permanent tables. MySQL usually stores the data of temporary tables in memory and processed by Memory Storage engine. But if the data size is too large MySQL automatically converts this to the on – disk table and use MyISAM engine. You can also create a permanent table with the same name of a temporary table in the same connection. However the structure of permanent table is visible only if the temporary table with the same name is dropped. Let us create a permanent table with the same name Temp as below CREATE TABLE TEMP (id INT, names VARCHAR(100)); Now running the following command stills gives you the structure of the temporary table temp created earlier. DESC TEMP; You can drop the temporary table using DROP TEMPORARY TABLE command; DROP TEMPORARY TABLE TEMP; After you executed the temporary table, run the following command DESC TEMP; Now you will see the structure of the permanent table named temp In summary – If there is a Temporary Table in MySQL it gets first priority over the permanent table in the session. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: MySQL, PostADay, SQL, SQL Authority, SQL Query, SQL Tips and Tricks, T SQL

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  • MySQL – Introduction to CONCAT and CONCAT_WS functions

    - by Pinal Dave
    MySQL supports two types of concatenation functions. They are CONCAT and CONCAT_WS CONCAT function just concats all the argument values as such SELECT CONCAT('Television','Mobile','Furniture'); The above code returns the following TelevisionMobileFurniture If you want to concatenate them with a comma, either you need to specify the comma at the end of each value, or pass comma as an argument along with the values SELECT CONCAT('Television,','Mobile,','Furniture'); SELECT CONCAT('Television',',','Mobile',',','Furniture'); Both the above return the following Television,Mobile,Furniture However you can omit the extra work by using CONCAT_WS function. It stands for Concatenate with separator. This is very similar to CONCAT function, but accepts separator as the first argument. SELECT CONCAT_WS(',','Television','Mobile','Furniture'); The result is Television,Mobile,Furniture If you want pipeline as a separator, you can use SELECT CONCAT_WS('|','Television','Mobile','Furniture'); The result is Television|Mobile|Furniture So CONCAT_WS is very flexible in concatenating values along with separate. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: MySQL, PostADay, SQL, SQL Authority, SQL Query, SQL Tips and Tricks, T SQL

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  • Big Data – Beginning Big Data Series Next Month in 21 Parts

    - by Pinal Dave
    Big Data is the next big thing. There was a time when we used to talk in terms of MB and GB of the data. However, the industry is changing and we are now moving to a conversation where we discuss about data in Petabyte, Exabyte and Zettabyte. It seems that the world is now talking about increased Volume of the data. In simple world we all think that Big Data is nothing but plenty of volume. In reality Big Data is much more than just a huge volume of the data. When talking about the data we need to understand about variety and volume along with volume. Though Big data look like a simple concept, it is extremely complex subject when we attempt to start learning the same. My Journey I have recently presented on Big Data in quite a few organizations and I have received quite a few questions during this roadshow event. I have collected all the questions which I have received and decided to post about them on the blog. In the month of October 2013, on every weekday we will be learning something new about Big Data. Every day I will share a concept/question and in the same blog post we will learn the answer of the same. Big Data – Plenty of Questions I received quite a few questions during my road trip. Here are few of the questions. I want to learn Big Data – where should I start? Do I need to know SQL to learn Big Data? What is Hadoop? There are so many organizations talking about Big Data, and every one has a different approach. How to start with big Data? Do I need to know Java to learn about Big Data? What is different between various NoSQL languages. I will attempt to answer most of the questions during the month long series in the next month. Big Data – Big Subject Big Data is a very big subject and I no way claim that I will be covering every single big data concept in this series. However, I promise that I will be indeed sharing lots of basic concepts which are revolving around Big Data. We will discuss from fundamentals about Big Data and continue further learning about it. I will attempt to cover the concept so simple that many of you might have wondered about it but afraid to ask. Your Role! During this series next month, I need your one help. Please keep on posting questions you might have related to big data as blog post comments and on Facebook Page. I will monitor them closely and will try to answer them as well during this series. Now make sure that you do not miss any single blog post in this series as every blog post will be linked to each other. You can subscribe to my feed or like my Facebook page or subscribe via email (by entering email in the blog post). Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Big Data, PostADay, SQL, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • MySQL – How to Find mysqld.exe with Command Prompt – Fix: ‘mysql’ is not recognized as an internal or external command, operable program or batch file

    - by Pinal Dave
    One of the most popular question I get after watching my MySQL courses on Pluralsight is that beginning users are not able to find where they have installed MySQL Server. The error they receive is as follows when they type mysqld command on their default command line. ‘mysql‘ is not recognized as an internal or external command, operable program or batch file. This error comes up if user try to execute mysqld command on default command prompt. The user should execute this command where mysql.exe file exists.  If you are using Windows Explorer you can easily search on your drive mysqld.exe and find the location of the file and execute the above command there. However, if you want to find out with command prompt the location of mysqld.exe file you can follow the direction here. Step 1: Open a command prompt Open command prompt from Start >> Run >> cmd >> enter Step 2: Change directory You need to change the default directory to root directory, hence type cd\ command on the prompt to change the default directory to c:\ . Here we are assuming that you have installed MySQL on your c: drive. If you have installed it on any other drive change the drive to that letter. Step 3: Search Drive Type the command dir mysqld.exe /s /p on the command prompt. It will search your directories and will list the directory where mysqld.exe is located. Step 4: Change Directory Now once again change your command prompt file location to the folder where your mysqld.exe is located. In my case it is located here in folder C:\Program Files\MySQL\MySQL Server 5.6\bin hence I will run following command: cd C:\Program Files\MySQL\MySQL Server 5.6\bin . Step 5: Execute mysqld.exe Now you can once again mysqld.exe on your command prompt. You can use this method to search pretty much any file with the help of command prompt. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: MySQL, PostADay, SQL, SQL Authority, SQL Query, SQL Tips and Tricks, T SQL

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  • Database model for keeping track of likes/shares/comments on blog posts over time

    - by gage
    My goal is to keep track of the popular posts on different blog sites based on social network activity at any given time. The goal is not to simply get the most popular now, but instead find posts that are popular compared to other posts on the same blog. For example, I follow a tech blog, a sports blog, and a gossip blog. The tech blog gets waaay more readership than the other two blogs, so in raw numbers every post on the tech blog will always out number views on the other two. So lets say the average tech blog post gets 500 facebook likes and the other two get an average of 50 likes per post. Then when there is a sports blog post that has 200 fb likes and a gossip blog post with 300 while the tech blog posts today have 500 likes I want to highlight the sports and gossip blog posts (more likes than average vs tech blog with more # of likes but just average for the blog) The approach I am thinking of taking is to make an entry in a database for each blog post. Every x minutes (say every 15 minutes) I will check how many likes/shares/comments an entry has received on all the social networks (facebook, twitter, google+, linkeIn). So over time there will be a history of likes for each blog post, i.e post 1234 after 15 min: 10 fb likes, 4 tweets, 6 g+ after 30 min: 15 fb likes, 15 tweets, 10 g+ ... ... after 48 hours: 200 fb likes, 25 tweets, 15 g+ By keeping a history like this for each blog post I can know the average number of likes/shares/tweets at any give time interval. So for example the average number of fb likes for all blog posts 48hrs after posting is 50, and a particular post has 200 I can mark that as a popular post and feature/highlight it. A consideration in the design is to be able to easily query the values (likes/shares) for a specific time-frame, i.e. fb likes after 30min or tweets after 24 hrs in-order to compute averages with which to compare against (or should averages be stored in it's own table?) If this approach is flawed or could use improvement please let me know, but it is not my main question. My main question is what should a database scheme for storing this info look like? Assuming that the above approach is taken I am trying to figure out what a database schema for storing the likes over time would look like. I am brand new to databases, in doing some basic reading I see that it is advisable to make a 3NF database. I have come up with the following possible schema. Schema 1 DB Popular Posts Table: Post post_id ( primary key(pk) ) url title Table: Social Activity activity_id (pk) url (fk) type (i.e. facebook,twitter,g+) value timestamp This was my initial instinct (base on my very limited db knowledge). As far as I under stand this schema would be 3NF? I searched for designs of similar database model, and found this question on stackoverflow, http://stackoverflow.com/questions/11216080/data-structure-for-storing-height-and-weight-etc-over-time-for-multiple-users . The scenario in that question is similar (recording weight/height of users overtime). Taking the accepted answer for that question and applying it to my model results in something like: Schema 2 (same as above, but break down the social activity into 2 tables) DB Popular Posts Table: Post post_id (pk) url title Table: Social Measurement measurement_id (pk) post_id (fk) timestamp Table: Social stat stat_id (pk) measurement_id (fk) type (i.e. facebook,twitter,g+) value The advantage I see in schema 2 is that I will likely want to access all the values for a given time, i.e. when making a measurement at 30min after a post is published I will simultaneous check number of fb likes, fb shares, fb comments, tweets, g+, linkedIn. So with this schema it may be easier get get all stats for a measurement_id corresponding to a certain time, i.e. all social stats for post 1234 at time x. Another thought I had is since it doesn't make sense to compare number of fb likes with number of tweets or g+ shares, maybe it makes sense to separate each social measurement into it's own table? Schema 3 DB Popular Posts Table: Post post_id (pk) url title Table: fb_likes fb_like_id (pk) post_id (fk) timestamp value Table: fb_shares fb_shares_id (pk) post_id (fk) timestamp value Table: tweets tweets__id (pk) post_id (fk) timestamp value Table: google_plus google_plus_id (pk) post_id (fk) timestamp value As you can see I am generally lost/unsure of what approach to take. I'm sure this typical type of database problem (storing measurements overtime, i.e temperature statistic) that must have a common solution. Is there a design pattern/model for this, does it have a name? I tried searching for "database periodic data collection" or "database measurements over time" but didn't find anything specific. What would be an appropriate model to solve the needs of this problem?

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  • SQLAuthority Guest Post – Lessons from Life and Work by Srini Chandra (Author of 3 Lives, in search of bliss)

    - by pinaldave
    Work and life are confusing terms together. How can one consider work outside of life. Work should be part of life or are we considering ourselves dead when we are at work. I have often seen developers and DBA complaining and confused about their job, work and life. Complaining is easy and everyone can do. I have heard quite often expression – “I do not have any other option.” I requested Srini Chanda (renowned author of Amazon Best Seller 3 Lives, in search of bliss (Amazon | Flipkart) to write a guest post on this subject which developer can read and appreciate. Let us see Srini’s thoughts in his own words. Each of us who works in the technology industry carries an especially heavy burden nowadays. For, fate has placed in our hands an awesome power to shape our society and its consciousness. For that reason, we must pay more and more attention to issues of professionalism, social responsibility and ethics. Equally importantly, the responsibility lies in our hands to ensure that we view our work and career as an opportunity to enlighten and lift ourselves up. Story: A Prisoner, 20 years and a Wheel Many years ago, I heard this story from a professor when I was a student at Carnegie Mellon. A man was sentenced to 20 years in prison. During his time in prison, he was asked to turn a wheel every day. So, every day he turned the wheel. At times, when he was tired or puzzled and stopped turning the wheel, he would be flogged with a whip. The man did not know anything about the wheel other than that it was placed outside his jail somewhere. He wondered if the wheel crushed corn or if it ground wheat or something similar. He wondered if turning the wheel was useful to anyone. At the end of his jail term, he rushed out to see what the wheel was doing. To his disappointment, he found that the wheel was not connected to anything. All these years, he had been toiling for nothing. He gave a loud, frustrated shout and dropped dead. How many of us are turning wheels wondering what it is connected to? How many of us have unstated, uncaring attitudes towards our careers? How many of us view work as drudgery, as no more than a way to earn that next paycheck? How many of us have wondered about the spiritually uplifting aspect of work? Can a workforce that views work as merely a chore, be ethical? Can it produce truly life enhancing technology? Can it make positive contributions to the quality of life of a society? I think not. Thanks to Pinal and you, his readers, for giving me this opportunity to share my thoughts in a series of guest posts. I’d like to present a few ways over the next few weeks, in which we can tap into the liberating potential of work and make our lives better in the process. Now, please allow me to tell you another version of the story that the good professor shared with us in the classroom that day. Story: A Prisoner, 20 years, a Wheel and the LIFE A man was sentenced to 20 years in prison. During his time in prison, he was asked to turn a wheel every day. So, every day he turned the wheel. At first, his whole body and mind rebelled against his predicament. So, his limbs grew weary and his mind became numb and confused. And then, his self-awareness began to grow. He began to wonder how he came to be in the prison in the first place. He looked around and saw all his fellow prisoners also turning the wheel. His wife, his parents, his friends and his children – they were all in the prison too, and turning their own wheels! He began to wonder how this came about. As he wondered more and more, he began to focus less on his physical drudgery and boredom. And he began to clearly see his inner spirit which guided him in ways that allowed him to see the world with a universal view. His inner spirit guided him towards the source of eternal wisdom and happiness. He began to see the source of happiness in everything around him – his prison bound relationships, even his jailers and in his wheel. He became a source of light to those around him. His wheel jokes and humor infected them with joy and happiness. Finally, the day came for his release from jail. He walked calmly outside the jail and laughed aloud when he saw that the wheel was not connected to anything. He knelt down, kissed it and thanked it for the wisdom it taught him. Life is the prison. The wheel is your work. Both are sacred. Both have enormous powers to teach us wisdom and bring us happiness. Whether we allow them to do so, is a choice we have to make. Over the next few weeks, I hope to share with you a few lessons that I have learnt at the wheel in my two decades of my career (prison). Thank you for reading, and do let me know what you think. Reference: Srini Chandra (3 Lives, in search of bliss), Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQLAuthority Book Review, T SQL, Technology

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  • Participating in 3 SQL events in 8 days

    - by AaronBertrand
    Well, 8 days not including lead and lag travel time. A quick summary of the three events, and the flights it took to get me to each: SQL Saturday #105 - Dublin, Ireland Flights on March 21st: Providence -> Philadelphia (236 miles) Philadelphia -> Dublin (3,260 miles) Time zone change: +4 when we got there, plus Daylight Saving Time kicked in, so +5 after the event. I spoke at this event, and manned the SQL Sentry booth with cohort Scott Fallen. This event was a fantastic SQL Saturday - very...(read more)

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  • MS12-070 : Security Updates for all supported versions of SQL Server

    - by AaronBertrand
    This week there was a security release for all supported versions of SQL Server . Each version has 32-bit and 64-bit patches, and each version has GDR (General Distribution Release) and QFE (Quick-Fix Engineering) patches. GDR should be applied if you are at the base (RTM or SP) build for your version, while QFE should be applied if you have installed any cumulative updates after the RTM or SP build. ( More details here .) SQL Server 2005 RTM, SP1, SP2, SP3 - not supported SP4 - GDR = 9.00.5069,...(read more)

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  • SQL Server 2012 : The Data Tools installer is now available

    - by AaronBertrand
    Last week when RC0 was released, the updated installer for "Juneau" (SQL Server Data Tools) was not available. Depending on how you tried to get it, you either ended up on a blank search page, or a page offering the CTP3 bits. Important note: the CTP3 Juneau bits are not compatible with SQL Server 2012 RC0. If you already have Visual Studio 2010 installed (meaning Standard/Pro/Premium/Ultimate), you will need to install Service Pack 1 before continuing. You can get to the installer simply by opening...(read more)

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  • Bit-Twiddling in SQL

    - by Mike C
    Someone posted a question to the SQL Server forum the other day asking how to count runs of zero bits in an integer using SQL. Basically the poster wanted to know how to efficiently determine the longest contiguous string of zero-bits (known as a run of bits) in any given 32-bit integer. Here are a couple of examples to demonstrate the idea: Decimal = Binary = Zero Run 999,999,999 decimal = 00 111011 1 00 11010 11 00 1 00 1 11111111 binary = 2 contiguous zero bits 666,666,666 decimal = 00100111 10111100...(read more)

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  • SQL Server v.Next (Denali) : More on contained databases and "contained users"

    - by AaronBertrand
    One of the reasons for contained databases (see my previous post ) is to allow for a more seamless transition when moving a database from one server to another. One of the biggest complications in doing so is making sure that all of the logins are in place on the new server. Contained databases help solve this issue by creating a new type of user: a database-level user with a password. I want to stress that this is not the same concept as a user without a login , which serves a completely different...(read more)

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  • T-SQL Tuesday #005: Creating SSMS Custom Reports

    - by Mike C
    This is my contribution to the T-SQL Tuesday blog party, started by Adam Machanic and hosted this month by Aaron Nelson . Aaron announced this month's topic is "reporting" so I figured I'd throw a blog up on a reporting topic I've been interested in for a while -- namely creating custom reports in SSMS. Creating SSMS custom reports isn't difficult, but like most technical work it's very detailed with a lot of little steps involved. So this post is a little longer than usual and includes a lot of...(read more)

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  • T-SQL Tuesday #005: Creating SSMS Custom Reports

    - by Mike C
    This is my contribution to the T-SQL Tuesday blog party, started by Adam Machanic and hosted this month by Aaron Nelson . Aaron announced this month's topic is "reporting" so I figured I'd throw a blog up on a reporting topic I've been interested in for a while -- namely creating custom reports in SSMS. Creating SSMS custom reports isn't difficult, but like most technical work it's very detailed with a lot of little steps involved. So this post is a little longer than usual and includes a lot of...(read more)

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  • How to Automate your Database Documentation

    - by Jonathan Hickford
    In my previous post, “Automating Deployments with SQL Compare command line” I looked at how teams can automate the deployment and post deployment validation of SQL Server databases using the command line versions of Red Gate tools. In this post I’m looking at another use for the command line tools, namely using them to generate up-to-date documentation with every database change. There are many reasons why up-to-date documentation is valuable. For example when somebody new has to work on or administer a database for the first time, or when a new database comes into service. Having database documentation reduces the risks of making incorrect decisions when making changes. Documentation is very useful to business intelligence analysts when writing reports, for example in SSRS. There are a couple of great examples talking about why up to date documentation is valuable on this site:  Database Documentation – Lands of Trolls: Why and How? and Database Documentation Using SQL Doc. The short answer is that it can save you time and reduce risk when you need that most! SQL Doc is a fast simple tool that automatically generates database documentation. It can create documents in HTML, Word or pdf files. The documentation contains information about object definitions and dependencies, along with any other information you want to associate with each object. The SQL Doc GUI, which is included in Red Gate’s SQL Developer Bundle and SQL Toolbelt, allows you to add additional notes to objects, and customise which objects are shown in the docs.  These settings can be saved as a .sqldoc project file. The SQL Doc command line can use this project file to automatically update the documentation every time the database is changed, ensuring that documentation that is always up to date. The simplest way to keep documentation up to date is probably to use a scheduled task to run a script every day. However if you have a source controlled database, or are using a Continuous Integration (CI) server or a build server, it may make more sense to use that instead. If  you’re using SQL Source Control or SSDT Database Projects to help version control your database, you can automatically update the documentation after each change is made to the source control repository that contains your database. To get this automation in place,  you can use the functionality of a Continuous Integration (CI) server, which can trigger commands to run when a source control repository has changed. A CI server will also capture and save the documentation that is created as an artifact, so you can always find the exact documentation for a specific version of the database. This forms an always up to date data dictionary. If you don’t already have a CI server in place there are several you can use, such as the free open source Jenkins or the free starter editions of TeamCity. I won’t cover setting these up in this article, but there is information about using CI servers for automating database tasks on the Red Gate Database Delivery webpage. You may be interested in Red Gate’s SQL CI utility (part of the SQL Automation Pack) which is an easy way to update a database with the latest changes from source control. The PowerShell example below shows how to create the documentation from a database. That database might be your integration database or a shared development database that is always up to date with the latest changes. $serverName = "server\instance" $databaseName = "databaseName" # If you want to document multiple databases use a comma separated list $userName = "username" $password = "password" # Path to SQLDoc.exe $SQLDocPath = "C:\Program Files (x86)\Red Gate\SQL Doc 3\SQLDoc.exe" $arguments = @( "/server:$($serverName)", "/database:$($databaseName)", "/username:$($userName)", "/password:$($password)", "/filetype:html", "/outputfolder:.", # "/project:$args[0]", # If you already have a .sqldoc project file you can pass it as an argument to this script. Values in the project will be overridden with any options set on the command line "/name:$databaseName Report", "/copyrightauthor:$([Environment]::UserName)" ) write-host $arguments & $SQLDocPath $arguments There are several options you can set on the command line to vary how your documentation is created. For example, you can document multiple databases or exclude certain types of objects. In the example above, we set the name of the report to match the database name, and use the current Windows user as the documentation author. For more examples of how you can customise the report from the command line please see the SQL Doc command line documentation If you already have a .sqldoc project file, or wish to further customise the report by including or excluding specific objects, you can use this project on the command line. Any settings you specify on the command line will override the defaults in the project. For details of what you can customise in the project please see the SQL Doc project documentation. In the example above, the line to use a project is commented out, but you can uncomment this line and then pass a path to a .sqldoc project file as an argument to this script.  Conclusion Keeping documentation about your databases up to date is very easy to set up using SQL Doc and PowerShell. By using a CI server to run this process you can trigger the documentation to be run on every change to a source controlled database, and keep historic documentation available. If you are considering more advanced database automation, e.g. database unit testing, change script generation, deploying to large numbers of targets and backup/verification, please email me at [email protected] for further script samples or if you have any questions.

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  • SQL Server v.Next (Denali) : Deriving sets using SEQUENCE

    - by AaronBertrand
    One complaint about SEQUENCE is that there is no simple construct such as NEXT (@n) VALUES FOR so that you could get a range of SEQUENCE values as a set. In a previous post about SEQUENCE , I mentioned that to get a range of rows from a sequence, you should use the system stored procedure sys.sp_sequence_get_range . There are some issues with this stored procedure: the parameter names are not easy to memorize; it requires multiple conversions to and from SQL_VARIANT; and, producing a set from the...(read more)

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  • Error with SQL Server Setup 2012 on Windows 2012

    - by Jeff
    I am trying to install SQL Server on Windows 2012. I was able to finally get the wizard up and running after making some changes on the server, but now it fails no matter what I do with the following error: TITLE: SQL Server Setup failure. SQL Server Setup has encountered the following error: There is an error in XML document (108, 148).. For help, click: http://go.microsoft.com/fwlink?LinkID=20476&ProdName=Microsoft%20SQL%20Server&EvtSrc=setup.rll&EvtID=50000&EvtType=0x066FCAFD%25400x5539C151 LinkID: 20476 Product Name: Microsoft SQL Server Message Source setup.rll Message ID: 50000 EvtType: 0x066FCAFD%400x5539C151 What I've tried: Installing from commandline with /q Result from CL installation: Error result: -2147467259 Result facility code: 0 Result error code: 16389 Please review the summary.txt log for further details The Verbose CL installation reveals: Sco: File 'C:\SQL Install\1033_ENU_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Sco: File 'C:\SQL Install\1033_ENU_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Package ID sql_bids_loc_Cpu64_1033: NotInstalled Sco: File 'C:\SQL Install\1036_FRA_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Sco: File 'C:\SQL Install\1036_FRA_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Package ID sql_bids_loc_Cpu64_1036: NotInstalled Sco: File 'C:\SQL Install\1040_ITA_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Sco: File 'C:\SQL Install\1040_ITA_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Package ID sql_bids_loc_Cpu64_1040: NotInstalled Sco: File 'C:\SQL Install\1041_JPN_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Sco: File 'C:\SQL Install\1041_JPN_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Package ID sql_bids_loc_Cpu64_1041: NotInstalled Sco: File 'C:\SQL Install\1042_KOR_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Sco: File 'C:\SQL Install\1042_KOR_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Package ID sql_bids_loc_Cpu64_1042: NotInstalled Sco: File 'C:\SQL Install\1046_PTB_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Sco: File 'C:\SQL Install\1046_PTB_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Package ID sql_bids_loc_Cpu64_1046: NotInstalled Sco: File 'C:\SQL Install\1049_RUS_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Sco: File 'C:\SQL Install\1049_RUS_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Package ID sql_bids_loc_Cpu64_1049: NotInstalled Sco: File 'C:\SQL Install\2052_CHS_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Sco: File 'C:\SQL Install\2052_CHS_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Package ID sql_bids_loc_Cpu64_2052: NotInstalled Sco: File 'C:\SQL Install\3082_ESN_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Sco: File 'C:\SQL Install\3082_ESN_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Package ID sql_bids_loc_Cpu64_3082: NotInstalled Sco: File 'C:\SQL Install\1053_SVE_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Sco: File 'C:\SQL Install\1053_SVE_LP\x64\setup\x64\sql_bids_loc.msi' does not exist Package ID sql_bids_loc_Cpu64_1053: NotInstalled Sco: File 'C:\SQL Install\x64\setup\x64\sql_ssms.msi' does not exist Sco: File 'C:\SQL Install\x64\setup\x64\sql_ssms.msi' does not exist Package ID sql_ssms_Cpu64: NotInstalled Sco: File 'C:\SQL Install\1028_CHT_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Sco: File 'C:\SQL Install\1028_CHT_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Package ID sql_ssms_loc_Cpu64_1028: NotInstalled Sco: File 'C:\SQL Install\1031_DEU_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Sco: File 'C:\SQL Install\1031_DEU_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Package ID sql_ssms_loc_Cpu64_1031: NotInstalled Sco: File 'C:\SQL Install\1033_ENU_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Sco: File 'C:\SQL Install\1033_ENU_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Package ID sql_ssms_loc_Cpu64_1033: NotInstalled Sco: File 'C:\SQL Install\1036_FRA_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Sco: File 'C:\SQL Install\1036_FRA_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Package ID sql_ssms_loc_Cpu64_1036: NotInstalled Sco: File 'C:\SQL Install\1040_ITA_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Sco: File 'C:\SQL Install\1040_ITA_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Package ID sql_ssms_loc_Cpu64_1040: NotInstalled Sco: File 'C:\SQL Install\1041_JPN_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Sco: File 'C:\SQL Install\1041_JPN_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Package ID sql_ssms_loc_Cpu64_1041: NotInstalled Sco: File 'C:\SQL Install\1042_KOR_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Sco: File 'C:\SQL Install\1042_KOR_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Package ID sql_ssms_loc_Cpu64_1042: NotInstalled Sco: File 'C:\SQL Install\1046_PTB_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Sco: File 'C:\SQL Install\1046_PTB_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Package ID sql_ssms_loc_Cpu64_1046: NotInstalled Sco: File 'C:\SQL Install\1049_RUS_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Sco: File 'C:\SQL Install\1049_RUS_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Package ID sql_ssms_loc_Cpu64_1049: NotInstalled Sco: File 'C:\SQL Install\2052_CHS_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Sco: File 'C:\SQL Install\2052_CHS_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Package ID sql_ssms_loc_Cpu64_2052: NotInstalled Sco: File 'C:\SQL Install\3082_ESN_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Sco: File 'C:\SQL Install\3082_ESN_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Package ID sql_ssms_loc_Cpu64_3082: NotInstalled Sco: File 'C:\SQL Install\1053_SVE_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Sco: File 'C:\SQL Install\1053_SVE_LP\x64\setup\x64\sql_ssms_loc.msi' does not exist Package ID sql_ssms_loc_Cpu64_1053: NotInstalled Sco: File 'C:\SQL Install\x64\setup\sql_common_core_msi\x64\sql_common_core.msi' does not e Sco: File 'C:\SQL Install\x64\setup\sql_common_core_msi\x64\sql_common_core.msi' does not e Package ID sql_common_core_Cpu64: NotInstalled Sco: File 'C:\SQL Install\1028_CHT_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Sco: File 'C:\SQL Install\1028_CHT_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Package ID sql_common_core_loc_Cpu64_1028: NotInstalled Sco: File 'C:\SQL Install\1031_DEU_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Sco: File 'C:\SQL Install\1031_DEU_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Package ID sql_common_core_loc_Cpu64_1031: NotInstalled Sco: File 'C:\SQL Install\1033_ENU_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Sco: File 'C:\SQL Install\1033_ENU_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Package ID sql_common_core_loc_Cpu64_1033: NotInstalled Sco: File 'C:\SQL Install\1036_FRA_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Sco: File 'C:\SQL Install\1036_FRA_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Package ID sql_common_core_loc_Cpu64_1036: NotInstalled Sco: File 'C:\SQL Install\1040_ITA_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Sco: File 'C:\SQL Install\1040_ITA_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Package ID sql_common_core_loc_Cpu64_1040: NotInstalled Sco: File 'C:\SQL Install\1041_JPN_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Sco: File 'C:\SQL Install\1041_JPN_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Package ID sql_common_core_loc_Cpu64_1041: NotInstalled Sco: File 'C:\SQL Install\1042_KOR_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Sco: File 'C:\SQL Install\1042_KOR_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Package ID sql_common_core_loc_Cpu64_1042: NotInstalled Sco: File 'C:\SQL Install\1046_PTB_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Sco: File 'C:\SQL Install\1046_PTB_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Package ID sql_common_core_loc_Cpu64_1046: NotInstalled Sco: File 'C:\SQL Install\1049_RUS_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Sco: File 'C:\SQL Install\1049_RUS_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Package ID sql_common_core_loc_Cpu64_1049: NotInstalled Sco: File 'C:\SQL Install\2052_CHS_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Sco: File 'C:\SQL Install\2052_CHS_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Package ID sql_common_core_loc_Cpu64_2052: NotInstalled Sco: File 'C:\SQL Install\3082_ESN_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Sco: File 'C:\SQL Install\3082_ESN_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Package ID sql_common_core_loc_Cpu64_3082: NotInstalled Sco: File 'C:\SQL Install\1053_SVE_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Sco: File 'C:\SQL Install\1053_SVE_LP\x64\setup\sql_common_core_loc_msi\x64\sql_common_core Package ID sql_common_core_loc_Cpu64_1053: NotInstalled Sco: File 'C:\Users\Administrator\AppData\Local\Temp\2\SQL Server 2012\Setup\1033_ENU_LP\x6 lSupport.msi' does not exist Sco: File 'C:\Users\Administrator\AppData\Local\Temp\2\SQL Server 2012\Setup\1033_ENU_LP\x6 lSupport.msi' does not exist Package ID SqlSupport_Cpu64: NotInstalled Sco: File 'C:\SQL Install\redist\watson\x86\dw20shared.msi' does not exist Sco: File 'C:\SQL Install\redist\watson\x86\dw20shared.msi' does not exist Package ID WatsonX86_Cpu32: NotInstalled Package ID sqlncli_Cpu64: NotInstalled Package ID SqlLocalDB_Cpu64: NotInstalled Package ID SqlLocalDB_CTP3_Cpu64: NotInstalled Sco: File 'C:\SQL Install\1033_ENU_LP\x64\setup\x86\SSDTStub.msi' does not exist Sco: File 'C:\SQL Install\1033_ENU_LP\x64\setup\x86\SSDTStub.msi' does not exist Package ID SSDTStub_Cpu32: NotInstalled Sco: File 'C:\SQL Install\1033_ENU_LP\x64\setup\x86\SSDTDBSvcExternals.msi' does not exist Sco: File 'C:\SQL Install\1033_ENU_LP\x64\setup\x86\SSDTDBSvcExternals.msi' does not exist What does this mean?

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  • Using SQL Developer to Debug your Anonymous PL/SQL Blocks

    - by JeffS
    Everyone knows that SQL Developer has a PL/SQL debugger – check! Everyone also knows that it’s only setup for debugging standalone PL/SQL objects like Functions, Procedures, and Packages, right? – NO! SQL Developer can also debug your Stored Java Procedures AND it can debug your standalone PLSQL blocks. These bits of PLSQL which do not live in the database are also known as ‘Anonymous Blocks.’ Anonymous PL/SQL blocks can be submitted to interactive tools such as SQL*Plus and Enterprise Manager, or embedded in an Oracle Precompiler or OCI program. At run time, the program sends these blocks to the Oracle database, where they are compiled and executed. Here’s an example of something you might want help debugging: Declare x number := 0; Begin Dbms_Output.Put(Sysdate || ' ' || Systimestamp); For Stuff In 1..100 Loop Dbms_Output.Put_Line('Stuff is equal to ' || Stuff || '.'); x := Stuff; End Loop; End; / With the power of remote debugging and unshared worksheets, we are going to be able to debug this ANON block! The trick – we need to create a dummy stored procedure and call it in our ANON block. Then we’re going to create an unshared worksheet and execute the script from there while the SQL Developer session is listening for remote debug connections. We step through the dummy procedure, and this takes OUT to our calling ANON block. Then we can use watches, breakpoints, and all that fancy debugger stuff! First things first, create this dummy procedure - create or replace procedure do_nothing is begin null; end; Then mouse-right-click on your Connection and select ‘Remote Debug.’ For an in-depth post on how to use the remote debugger, check out Barry’s excellent post on the subject. Open an unshared worksheet using Ctrl+Shift+N. This gives us a dedicated connection for our worksheet and any scripts or commands executed in it. Paste in your ANON block you want to debug. Add in a call to the dummy procedure above to the first line of your BEGIN block like so Begin do_nothing(); ... Then we need to setup the machine for remote debug for the session we have listening – basically we connect to SQL Developer. You can do that via a Environment Variable, or you can just add this line to your script - CALL DBMS_DEBUG_JDWP.CONNECT_TCP( 'localhost', '4000' ); Where ‘localhost’ is the machine where SQL Developer is running and ’4000′ is the port you started the debug listener on. Ok, with that all set, now just RUN the script. Once the PL/SQL call is made, the debugger will be invoked. You’ll end up in the DO_NOTHING() object. Debugging an ANON block from SQL Developer is possible! If you step out to the ANON block, we’ll end up in the script that’s used to call the procedure – which is the script you want to debug. The Anonymous Block is opened in a new SQL Dev page You can now step through the block, using watches and breakpoints as expected. I’m guessing your scripts are going to be a bit more complicated than mine, but this serves as a decent example to get you started. Here’s a screenshot of a watch and breakpoint defined in the anon block being debugged: Breakpoints, watches, and callstacks - oh my! For giggles, I created a breakpoint with a passcount of 90 for the FOR LOOP to see if it works. And of course it does You Might Also EnjoyUsing Pass Counts to Turbo Charge Your PL/SQL BreakpointsSQL Developer Tip: Viewing REFCURSOR OutputThe PL/SQL Debugger Strikes Back: Episode VDebugging PL/SQL with SQL Developer: Episode IVHow to find dependent objects in your PL/SQL Programs using SQL Developer

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