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  • Query design in SQL - ORDER BY SUM() of field in rows which meet a certain condition

    - by Christian Mann
    OK, so I have two tables I'm working with - project and service, simplified thus: project ------- id PK name str service ------- project_id FK for project time_start int (timestamp) time_stop int (timestamp) One-to-Many relationship. Now, I want to return (preferably with one query) a list of an arbitrary number of projects, sorted by the total amount of time spent at them, which is found by SUM(time_stop) - SUM(time_start) WHERE project_id = something. So far, I have SELECT project.name FROM service LEFT JOIN project ON project.id = service.project_id LIMIT 100 but I cannot figure out how what to ORDER BY.

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  • Help with MySQL query

    - by Michael S.
    I have a table that contains the next columns: ip(varchar 255), index(bigint 20), time(timestamp) each time something is inserted there, the time column gets current timestamp. I want to run a query that returns all the rows that have been added in the last 24 hours. This is what I try to execute: SELECT ip, index FROM users WHERE ip = 'some ip' AND TIMESTAMPDIFF(HOURS,time,NOW()) < 24 And it doesn't work. Can someone help me out? Thanks :)

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  • Cardinality Estimation Bug with Lookups in SQL Server 2008 onward

    - by Paul White
    Cost-based optimization stands or falls on the quality of cardinality estimates (expected row counts).  If the optimizer has incorrect information to start with, it is quite unlikely to produce good quality execution plans except by chance.  There are many ways we can provide good starting information to the optimizer, and even more ways for cardinality estimation to go wrong.  Good database people know this, and work hard to write optimizer-friendly queries with a schema and metadata (e.g. statistics) that reduce the chances of poor cardinality estimation producing a sub-optimal plan.  Today, I am going to look at a case where poor cardinality estimation is Microsoft’s fault, and not yours. SQL Server 2005 SELECT th.ProductID, th.TransactionID, th.TransactionDate FROM Production.TransactionHistory AS th WHERE th.ProductID = 1 AND th.TransactionDate BETWEEN '20030901' AND '20031231'; The query plan on SQL Server 2005 is as follows (if you are using a more recent version of AdventureWorks, you will need to change the year on the date range from 2003 to 2007): There is an Index Seek on ProductID = 1, followed by a Key Lookup to find the Transaction Date for each row, and finally a Filter to restrict the results to only those rows where Transaction Date falls in the range specified.  The cardinality estimate of 45 rows at the Index Seek is exactly correct.  The table is not very large, there are up-to-date statistics associated with the index, so this is as expected. The estimate for the Key Lookup is also exactly right.  Each lookup into the Clustered Index to find the Transaction Date is guaranteed to return exactly one row.  The plan shows that the Key Lookup is expected to be executed 45 times.  The estimate for the Inner Join output is also correct – 45 rows from the seek joining to one row each time, gives 45 rows as output. The Filter estimate is also very good: the optimizer estimates 16.9951 rows will match the specified range of transaction dates.  Eleven rows are produced by this query, but that small difference is quite normal and certainly nothing to worry about here.  All good so far. SQL Server 2008 onward The same query executed against an identical copy of AdventureWorks on SQL Server 2008 produces a different execution plan: The optimizer has pushed the Filter conditions seen in the 2005 plan down to the Key Lookup.  This is a good optimization – it makes sense to filter rows out as early as possible.  Unfortunately, it has made a bit of a mess of the cardinality estimates. The post-Filter estimate of 16.9951 rows seen in the 2005 plan has moved with the predicate on Transaction Date.  Instead of estimating one row, the plan now suggests that 16.9951 rows will be produced by each clustered index lookup – clearly not right!  This misinformation also confuses SQL Sentry Plan Explorer: Plan Explorer shows 765 rows expected from the Key Lookup (it multiplies a rounded estimate of 17 rows by 45 expected executions to give 765 rows total). Workarounds One workaround is to provide a covering non-clustered index (avoiding the lookup avoids the problem of course): CREATE INDEX nc1 ON Production.TransactionHistory (ProductID) INCLUDE (TransactionDate); With the Transaction Date filter applied as a residual predicate in the same operator as the seek, the estimate is again as expected: We could also force the use of the ultimate covering index (the clustered one): SELECT th.ProductID, th.TransactionID, th.TransactionDate FROM Production.TransactionHistory AS th WITH (INDEX(1)) WHERE th.ProductID = 1 AND th.TransactionDate BETWEEN '20030901' AND '20031231'; Summary Providing a covering non-clustered index for all possible queries is not always practical, and scanning the clustered index will rarely be optimal.  Nevertheless, these are the best workarounds we have today. In the meantime, watch out for poor cardinality estimates when a predicate is applied as part of a lookup. The worst thing is that the estimate after the lookup join in the 2008+ plans is wrong.  It’s not hopelessly wrong in this particular case (45 versus 16.9951 is not the end of the world) but it easily can be much worse, and there’s not much you can do about it.  Any decisions made by the optimizer after such a lookup could be based on very wrong information – which can only be bad news. If you think this situation should be improved, please vote for this Connect item. © 2012 Paul White – All Rights Reserved twitter: @SQL_Kiwi email: [email protected]

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  • Big Data – ClustrixDB – Extreme Scale SQL Database with Real-time Analytics, Releases Software Download – NewSQL

    - by Pinal Dave
    There are so many things to learn and there is so little time we all have. As we have little time we need to be selective to learn whatever we learn. I believe I know quite a lot of things in SQL but I still do not know what is around SQL. I have started to learn about NewSQL recently. If you wonder what is NewSQL I encourage all of you to read my blog post about NewSQL over here Big Data – Buzz Words: What is NewSQL – Day 10 of 21. NewSQL databases are quickly becoming popular – providing the scale of NoSQL with the SQL features and transactions. As a part of learning NewSQL database, I have recently started to learn about ClustrixDB. ClustrixDB has been the most mature NewSQL database used by some of the largest internet sites in the world for over 3 years, with extensive SQL support. In addition to scale, it provides fast real-time analytics by bringing massively parallel processing (MPP), available only in warehousing databases, to the transactional database. The reason I am more intrigued about learning ClustrixDB is their recent announcement on Oct 31. ClustrixDB was only available as an appliance, but now with their software release on Oct 31, everyone can use it. It is now available as forever free for up to 12 cores with community support, and there is a 45 day trial for unlimited cluster sizes. With the forever free world, I am indeed interested in ClustrixDB now. I know that few of the leading eCommerce sites in the world uses them for their transactional database. Here are few of the details I have quickly noted for ClustrixDB. ClustrixDB allows user to: Scale by simply adding nodes to the cluster with a single command Run billions of transactions a day Run fast real-time analytics Achieve high-availability with recovery from node failure Manages itself Easily migrate from MySQL as it is nearly plug-and-play compatible, use MySQL drivers, tools and replication. While I was going through the documentation I realized that ClustrixDB also has extensive support for SQL features including complex queries involving joins on a dozen or more tables, aggregates, sorts, sub-queries. It also supports stored procedures, triggers, foreign keys, partitioned and temporary tables, and fully online schema changes. It is indeed a very matured product and SQL solution. Indeed Clusterix sound very promising solution, I decided to dig a bit deeper to understand who are current customers of the Clustrix as they exist in the industry for quite a few years. Their client list is indeed very interesting and here is my quick research about them. Twoo.com – Europe’s largest social discovery (dating) site runs 4.4 Billion Transactions a day with table sizes over a Terabyte, on a 168 core cluster. EngageBDR – Top 3 in the online advertising category uses ClustrixDB to serve 6.9 billion ads a day through real-time bidding platform. Their reports went from 4 hours to 15 seconds. NoMoreRack – Top 2 fastest growing e-commerce company in US used ClustrixDB for high availability and fast growth through Amazon cloud. MakeMyTrip – India’s leading travel site runs on ClustrixDB with two clusters running as multi-master in Chennai and Bangalore. Many enterprises such as AOL, CSC, Rakuten, Symantec use ClustrixDB when their applications need scale. I must accept that I am impressed with the information I have learned so far and now is the time to do some hand’s on experience with their product. I want to learn this technology so in future when it is about NewSQL, I know what I am talking about. Read more why Clustrix explains why you ClustrixDB might be the right database for you. Download ClustrixDB with me today and install it on your machine so in future when we discuss the technical aspects of it, we all are on the same page. The software can be downloaded here. Reference : Pinal Dave (http://blog.SQLAuthority.com)Filed under: Big Data, MySQL, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: Clustrix

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  • SQL SERVER – Shrinking NDF and MDF Files – Readers’ Opinion

    - by pinaldave
    Previously, I had written a blog post about SQL SERVER – Shrinking NDF and MDF Files – A Safe Operation. After that, I have written the following blog post that talks about the advantage and disadvantage of Shrinking and why one should not be Shrinking a file SQL SERVER – SHRINKFILE and TRUNCATE Log File in SQL Server 2008. On this subject, SQL Server Expert Imran Mohammed left an excellent comment. I just feel that his comment is worth a big article itself. For everybody to read his wonderful explanation, I am posting this blog post here. Thanks Imran! Shrinking Database always creates performance degradation and increases fragmentation in the database. I suggest that you keep that in mind before you start reading the following comment. If you are going to say Shrinking Database is bad and evil, here I am saying it first and loud. Now, the comment of Imran is written while keeping in mind only the process showing how the Shrinking Database Operation works. Imran has already explained his understanding and requests further explanation. I have removed the Best Practices section from Imran’s comments, as there are a few corrections. Comments from Imran - Before I explain to you the concept of Shrink Database, let us understand the concept of Database Files. When we create a new database inside the SQL Server, it is typical that SQl Server creates two physical files in the Operating System: one with .MDF Extension, and another with .LDF Extension. .MDF is called as Primary Data File. .LDF is called as Transactional Log file. If you add one or more data files to a database, the physical file that will be created in the Operating System will have an extension of .NDF, which is called as Secondary Data File; whereas, when you add one or more log files to a database, the physical file that will be created in the Operating System will have the same extension as .LDF. The questions now are, “Why does a new data file have a different extension (.NDF)?”, “Why is it called as a secondary data file?” and, “Why is .MDF file called as a primary data file?” Answers: Note: The following explanation is based on my limited knowledge of SQL Server, so experts please do comment. A data file with a .MDF extension is called a Primary Data File, and the reason behind it is that it contains Database Catalogs. Catalogs mean Meta Data. Meta Data is “Data about Data”. An example for Meta Data includes system objects that store information about other objects, except the data stored by the users. sysobjects stores information about all objects in that database. sysindexes stores information about all indexes and rows of every table in that database. syscolumns stores information about all columns that each table has in that database. sysusers stores how many users that database has. Although Meta Data stores information about other objects, it is not the transactional data that a user enters; rather, it’s a system data about the data. Because Primary Data File (.MDF) contains important information about the database, it is treated as a special file. It is given the name Primary Data file because it contains the Database Catalogs. This file is present in the Primary File Group. You can always create additional objects (Tables, indexes etc.) in the Primary data file (This file is present in the Primary File group), by mentioning that you want to create this object under the Primary File Group. Any additional data file that you add to the database will have only transactional data but no Meta Data, so that’s why it is called as the Secondary Data File. It is given the extension name .NDF so that the user can easily identify whether a specific data file is a Primary Data File or a Secondary Data File(s). There are many advantages of storing data in different files that are under different file groups. You can put your read only in the tables in one file (file group) and read-write tables in another file (file group) and take a backup of only the file group that has read the write data, so that you can avoid taking the backup of a read-only data that cannot be altered. Creating additional files in different physical hard disks also improves I/O performance. A real-time scenario where we use Files could be this one: Let’s say you have created a database called MYDB in the D-Drive which has a 50 GB space. You also have 1 Database File (.MDF) and 1 Log File on D-Drive and suppose that all of that 50 GB space has been used up and you do not have any free space left but you still want to add an additional space to the database. One easy option would be to add one more physical hard disk to the server, add new data file to MYDB database and create this new data file in a new hard disk then move some of the objects from one file to another, and put the file group under which you added new file as default File group, so that any new object that is created gets into the new files, unless specified. Now that we got a basic idea of what data files are, what type of data they store and why they are named the way they are, let’s move on to the next topic, Shrinking. First of all, I disagree with the Microsoft terminology for naming this feature as “Shrinking”. Shrinking, in regular terms, means to reduce the size of a file by means of compressing it. BUT in SQL Server, Shrinking DOES NOT mean compressing. Shrinking in SQL Server means to remove an empty space from database files and release the empty space either to the Operating System or to SQL Server. Let’s examine this through an example. Let’s say you have a database “MYDB” with a size of 50 GB that has a free space of about 20 GB, which means 30GB in the database is filled with data and the 20 GB of space is free in the database because it is not currently utilized by the SQL Server (Database); it is reserved and not yet in use. If you choose to shrink the database and to release an empty space to Operating System, and MIND YOU, you can only shrink the database size to 30 GB (in our example). You cannot shrink the database to a size less than what is filled with data. So, if you have a database that is full and has no empty space in the data file and log file (you don’t have an extra disk space to set Auto growth option ON), YOU CANNOT issue the SHRINK Database/File command, because of two reasons: There is no empty space to be released because the Shrink command does not compress the database; it only removes the empty space from the database files and there is no empty space. Remember, the Shrink command is a logged operation. When we perform the Shrink operation, this information is logged in the log file. If there is no empty space in the log file, SQL Server cannot write to the log file and you cannot shrink a database. Now answering your questions: (1) Q: What are the USEDPAGES & ESTIMATEDPAGES that appear on the Results Pane after using the DBCC SHRINKDATABASE (NorthWind, 10) ? A: According to Books Online (For SQL Server 2000): UsedPages: the number of 8-KB pages currently used by the file. EstimatedPages: the number of 8-KB pages that SQL Server estimates the file could be shrunk down to. Important Note: Before asking any question, make sure you go through Books Online or search on the Google once. The reasons for doing so have many advantages: 1. If someone else already has had this question before, chances that it is already answered are more than 50 %. 2. This reduces your waiting time for the answer. (2) Q: What is the difference between Shrinking the Database using DBCC command like the one above & shrinking it from the Enterprise Manager Console by Right-Clicking the database, going to TASKS & then selecting SHRINK Option, on a SQL Server 2000 environment? A: As far as my knowledge goes, there is no difference, both will work the same way, one advantage of using this command from query analyzer is, your console won’t be freezed. You can do perform your regular activities using Enterprise Manager. (3) Q: What is this .NDF file that is discussed above? I have never heard of it. What is it used for? Is it used by end-users, DBAs or the SERVER/SYSTEM itself? A: .NDF File is a secondary data file. You never heard of it because when database is created, SQL Server creates database by default with only 1 data file (.MDF) and 1 log file (.LDF) or however your model database has been setup, because a model database is a template used every time you create a new database using the CREATE DATABASE Command. Unless you have added an extra data file, you will not see it. This file is used by the SQL Server to store data which are saved by the users. Hope this information helps. I would like to as the experts to please comment if what I understand is not what the Microsoft guys meant. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Readers Contribution, Readers Question, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • SQL SERVER – NuoDB in Sixty Seconds – SQL in Sixty Seconds #053

    - by Pinal Dave
    Earlier this week, I have done five part blog series on NuoDB and it was very well received by audience. NuoDB is an elastically scalable SQL database that can run on local host, datacenter and cloud-based resources. t is an operational NewSQL database built on a patented emergent architecture with full support for SQL and ACID guarantees. In this blog post, I will explore how one can download and install NuoDB database. In this video I explain how one can install NuoDB in very few seconds and set up the entire environment in additional few seconds. One can get going with installation of NuoDB and sample database in total of less than 60 seconds. Let us see the same concept in following SQL in Sixty Seconds Video: You can Download NuoDB and reproduce the same Sixty Seconds experience. Related Tips in SQL in Sixty Seconds: Part 1 – Install NuoDB in 90 Seconds Part 2 – Manage NuoDB Installation Part 3 – Explore NuoDB Database Part 4 – Migrate from SQL Server to NuoDB Part 5 - NuoDB and Third Party Explorer What would you like to see in the next SQL in Sixty Seconds video? Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Database, Pinal Dave, PostADay, SQL, SQL Authority, SQL in Sixty Seconds, SQL Interview Questions and Answers, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology, Video Tagged: Identity

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  • Oracle Database 11.2.0.4 Certified with EBS on Microsoft Windows Server

    - by John Abraham
    As a follow up to to a previous announcement, Oracle Database 11g Release 2 (11.2.0.4) is now certified with Oracle E-Business Suite Release 11i and Release 12 on the following Microsoft Windows Server operating systems: Release 12.2 (12.2.3 and higher): Microsoft Windows x64 (64-bit) (2008 R2) Release 12.1 (12.1.1 and higher): Microsoft Windows Server (32-bit) (2003, 2008) Microsoft Windows x64 (64-bit) (20031, 20081, 2008 R22) Release 12.0 (12.0.4 and higher): Microsoft Windows Server (32-bit) (2003) Microsoft Windows x64 (64-bit) (2003, 2008, 2008 R2)1 Release 11i (11.5.10.2 + ATG PF.H RUP 6 and higher):: Microsoft Windows Server (32-bit) (2003, 20081) Microsoft Windows x64 (64-bit) (2003, 2008, 2008 R2)1 Notes: 1: This OS is a 'database tier only' or 'split tier configuration' platform where the application tier must be on a fully certified E-Business Suite platform. 2: This OS is a 'database tier only' platform for Release 11i. For 12.1.1 or higher, it is also supported on the application tier via the migration process outlined in My Oracle Support Document 1188535.1. This announcement for Oracle E-Business Suite 11i and R12 includes: Oracle Database 11gR2 version 11.2.0.4 Oracle Database 11gR2 version 11.2.0.4 Real Application Clusters (RAC) Oracle Database Vault 11gR2 version 11.2.0.4 Transparent Data Encryption (Column Encryption) using Oracle Database 11gR2 version 11.2.0.4 TDE Tablespace Encryption using Oracle Database 11gR2 version 11.2.0.4 Advanced Security Option (ASO)/Advanced Networking Option (ANO) with Oracle Database 11gR2 version 11.2.0.4 Export/Import Process for Oracle E-Business Suite Release 11i and Release 12 Database Instances Transportable Database and Transportable Tablespaces Data Migration Processes for Oracle E-Business Suite Release 11i and Release 12 Certification data in My Oracle Support (http://support.oracle.com) has been updated with this certification - please review the documents below for all requirements and additional details: Where can I find more information? MOS Document 881505.1 - Interoperability Notes - Oracle E-Business Suite Release 11i with Oracle Database 11g Release 2 (11.2.0) MOS Document 1058763.1 - Interoperability Notes - Oracle E-Business Suite Release 12 with Oracle Database 11g Release 2 (11.2.0) MOS Dcoument 1623879.1 - Interoperability Notes - Oracle E-Business Suite Release 12.2 with Oracle Database 11g Release 2 (11.2.0) MOS Document 1091086.1 - Integrating Oracle E-Business Suite Release 11i with Oracle Database Vault 11gR2 MOS Document 1091083.1 - Integrating Oracle E-Business Suite Release 12 with Oracle Database Vault 11gR2 MOS Document 216205.1 - Database Initialization Parameters for Oracle E-Business Suite 11i MOS Document 396009.1 - Database Initialization Parameters for Oracle Applications Release 12 MOS Document 823586.1 - Using Oracle 11g Release 2 Real Application Clusters with Oracle E-Business Suite Release 11i MOS Document 823587.1 - Using Oracle 11g Release 2 Real Application Clusters with Oracle E-Business Suite Release 12 MOS Document 946413.1 - Using Oracle Applications with a Split Configuration Database Tier on Oracle Release 11g Release 2 MOS Document 403294.1 - Using Transparent Data Encryption (TDE) Column Encryption with Oracle E-Business Suite Release 11i MOS Document 732764.1 - Using Transparent Data Encryption (TDE) Column Encryption with Oracle E-Business Suite Release 12 MOS Document 828223.1 - Using TDE Tablespace Encryption with Oracle E-Business Suite Release 11i MOS Document 828229.1 - Using TDE Tablespace Encryption with Oracle E-Business Suite Release 12 MOS Document 391248.1 - Encrypting Oracle E-Business Suite Release 11i Network Traffic using Advanced Security Option and Advanced Networking Option MOS Document 376700.1 - Enabling SSL in Oracle Application Release 12 MOS Document 732764.1 - Using Transparent Data Encryption (TDE) Column Encryption with Oracle E-Business Suite Release 12 MOS Document 557738.1 - Export/Import Process for Oracle E-Business Suite Release 11i Database Instances Using Oracle Database 11g Release 1 or 11g Release 2 MOS Document 741818.1 - Export/Import Process for Oracle E-Business Suite Release 12 Database Instances Using Oracle Database 11g Release 1 or 11g Release 2 MOS Document 1366265.1 - Using Transportable Tablespaces to Migrate Oracle Applications 11i Using Oracle Database 11g Release 2 MOS Document 1311487.1 - Using Transportable Tablespaces to Migrate Oracle E-Business Suite Release 12 Using Oracle Database 11g Release 2 MOS Document 729309.1 - Using Transportable Database to Migrate Oracle E-Business Suite Release 11i Using Oracle Database 10g Release 2 or 11g MOS Document 734763.1 - Using Transportable Database to Migrate Oracle E-Business Suite Release 12 Using Oracle Database 10g Release 2 or 11g MOS Document 1188535.1 - Migrating Oracle E-Business Suite R12 to Microsoft Windows Server 2008 R2 MOS Dcoument 1349240.1 - Database Preparation Guidelines for an Oracle E-Business Suite Release 12.2 Upgrade MOS Document 1594274.1 - Oracle E-Business Suite Release 12.2: Consolidated List of Patches and Technology Bug Fixes Please also review the platform-specific Oracle Database Installation Guides for operating system and other prerequisites.

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  • Help with SQL query (add 5% to users with conditions)

    - by Mestika
    Hi everyone, I’m having some difficulties with a query which purpose is to give users with more than one thread (called CS) in current year a 5% point “raise”. My relational schema looks like this: Thread = (threadid, threadname, threadLocation) threadoffering = (threadid, season, year, user) user = (name, points) Then, what I need is to check: WHERE thread.threadid = threadoffering.threadid AND where threadoffering.year AND threadoffering.season = currentDate AND where threadoffering.User 1 GIVE 5 % raise TO user.points I hope it is explained thoroughly but otherwise here it is in short text: Give a 5 % “point raise” to all users who has more than 1 thread in threadLocation CS in the current year and season (always dynamic, so for example now is year = 2010 and season is = spring). I am looking forward to your answer Sincerely, Emil

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  • mysql partitioning

    - by Yang
    just want to verify that database partition is implemented only at the database level, when we query a partitioned table, we still do our normal query, nothing special with our queries, the optimization is performed automatically when parsing the query, is that correct? e.g. we have a table called 'address' with a column called 'country_code' and 'city'. so if i want to get all the addresses in New York, US, normally i wound do something like this: select * from address where country_code = 'US' and city = 'New York' if now the table is partitioned by 'country_code', and i know that now the query will only be executed on the partition which contains country_code = US. My question is do I need to explicitly specify the partition to query in my sql statement? or i still use the previous statement and the db server will optimize it automatically? Thanks in advance!

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  • MYSQL - Help with a more complicated Query

    - by Joe
    I have two tables: tbl_lists and tbl_houses Inside tbl_lists I have a field called HousesList - it contains the ID's for several houses in the following format: 1# 2# 4# 51# 3# I need to be able to select the mysql fields from tbl_houses WHERE ID = any of those ID's in the list. More specifically, I need to SELECT SUM(tbl_houses.HouseValue) WHERE tbl_houses.ID IN tbl_lists.HousesList -- and I want to do this select to return the SUM for several rows in tbl_lists. Anyone can help? I'm thinking of how I can do this in a SINGLE query since I don't want to do any mysql "loops" (within PHP).

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  • Complicated conditional SQL query

    - by DevAno1
    I'm not even sure if it's possible but I need it for my Access database. So I have following db structure : Now I need to perform a query that takes category_id from my product and do the magic : - let's say product belongs to console (category_id is in table Console) - from console_types take type_id, where category_id == category_id - but if product belongs to console_game (category_id is in table console_game) - from console_game take game_cat_id, where category_id == category_id I'm not sure if mysql is capable of such thing. If not I'm really f&%ranked up. Maybe there is a way to split this into 2,3 separate queries ?

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  • Server configurations for hosting MySQL database

    - by shyam
    I have a web application which uses a MySQL database hosted on a virtual server. I've been using this server when I started the application and when the database was really small. Now it has grown and the server is not able to handle the db, causing frequent db errors. I'm planning to get a server and I need suggestions for that. Like I said, the db is now 9 GB, and is growing considerably fast. There are a number of tables with millions of rows, which are frequently updated and queried. The most frequent error the db shows is Lock wait timeout exceeded. Previously there used to be "The total number of locks exceeds the lock table size" errors too, but I could avoid it by increasing Innodb buffer pool size. Please suggest what configurations should I look for in the server I should buy. I read somewhere that the db should ideally have a buffer pool size greater than the size of its data, so in my case I guess I'd need memory gt 9 GB. What other things should I look for in the server? Just tell me if I should give you more info about the

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  • Recover mysql database - mysqldump gives "table <tablename> doesn't exist (1146)"

    - by Matthew
    Backstory Ubuntu died (wouldn't boot) and I couldn't fix it. I booted a live cd to recover the important stuff and saved it to my NAS. One of the things I backed up was /var/lib/mysql. Reinstalled with Linux Mint because I was on Ubuntu 10.0.4 this was a good opportunity to try a new distro (and I don't like Unity). Now I want to recover my old mediawiki, so I shut down mysql daemon, cp -R /media/NAS/Backup/mysql/mediawiki@002d1_19_1 /var/lib/mysql/, set file ownership and permissions correctly, and start mysql back up. Problem Now I'm trying to export the database so I can restore the database, but when I execute the mysqldump I get an error: $ mysqldump -u mediawikiuser -p mediawiki-1_19_1 -c | gzip -9 > wiki.2012-11-15.sql.gz Enter password: mysqldump: Got error: 1146: Table 'mediawiki-1_19_1.archive' doesn't exist when using LOCK TABLES Things I've tried I tried using --skip-lock-tables but I get this: Error: Couldn't read status information for table archive () mysqldump: Couldn't execute 'show create table `archive`': Table 'mediawiki-1_19_1.archive' doesn't exist (1146) I tried logging in to mysql and I can list the tables that should be there, but trying to describe or select from them errors out the same way as the dump: mysql> show tables; +----------------------------+ | Tables_in_mediawiki-1_19_1 | +----------------------------+ | archive | | category | | categorylinks | ... | user_properties | | valid_tag | | watchlist | +----------------------------+ 49 rows in set (0.00 sec) mysql> describe archive; ERROR 1146 (42S02): Table 'mediawiki-1_19_1.archive' doesn't exist I believe mediawiki was installed using innodb and binary data. Am I screwed or is there a way to recover this?

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  • Database types for customer analytics

    - by Drewdavid
    I am exploring a paid solution to start providing better embedded, dashboard-style analytics information to our website customers/account holders, but would like to also offer an in-house development option to our team. The more equipped I am with specifics (such as the subject of this question), the better the adoption rate from the team (or so I have found), regardless of the path we choose Would anyone care to summarize a couple of options for a fast and scalable database type through which we would provide the following: • Daily pageviews to a users account pages (users have between 1 and 1000 pages) • Some calculated/compounded metrics (such as conversion rate, i.e. certain page type viewed to contact form thank you page ratio) • We have about 1,500 members (will need room to grow); the number of concurrently logged in users will for the question's sake be 50 I ask because our developer has balked at providing this level of "over time" granularity (i.e. daily) due to the number of space it would take up in a MYSQL database To avoid a downvote I have asked specifically for more than one option, realizing that different people will have different solutions. I will make amendments to my question if so guided by answering parties Thank you for sharing your valued answers :)

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  • SQL SERVER – Quick Note of Database Mirroring

    - by pinaldave
    Just a day ago, I was invited at Round Table meeting at prestigious organization. They were planning to implement High Availability solution using Database Mirroring. During the meeting, I have made few notes of what was being discussed there. I just thought it would be interested for all of you know about it. Database Mirroring works [...]

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  • Why Doesn’t Partition Elimination Work?

    - by Paul White
    Given a partitioned table and a simple SELECT query that compares the partitioning column to a single literal value, why does SQL Server read all the partitions when it seems obvious that only one partition needs to be examined? Sample Data The following script creates a table, partitioned on the char(3) column ‘Div’, and populates it with 100,000 rows of data: USE Sandpit; GO CREATE PARTITION FUNCTION PF ( char (3)) AS RANGE RIGHT FOR VALUES ( '1' , '2' , '3' , '4' , '5' , '6' , '7' , '8' , '9'...(read more)

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  • SQL SERVER – Identify Numbers of Non Clustered Index on Tables for Entire Database

    - by pinaldave
    Here is the script which will give you numbers of non clustered indexes on any table in entire database. SELECT COUNT(i.TYPE) NoOfIndex, [schema_name] = s.name, table_name = o.name FROM sys.indexes i INNER JOIN sys.objects o ON i.[object_id] = o.[object_id] INNER JOIN sys.schemas s ON o.[schema_id] = s.[schema_id] WHERE o.TYPE IN ('U') AND i.TYPE = 2 GROUP BY s.name, o.name ORDER BY schema_name, table_name Here is the small story behind why this script was needed. I recently went to meet my friend in his office and he introduced me to his colleague in office as someone who is an expert in SQL Server Indexing. I politely said I am yet learning about Indexing and have a long way to go. My friend’s colleague right away said – he had a suggestion for me with related to Index. According to him he was looking for a script which will count all the non clustered on all the tables in the database and he was not able to find that on SQLAuthority.com. I was a bit surprised as I really do not remember all the details about what I have written so far. I quickly pull up my phone and tried to look for the script on my custom search engine and he was correct. I never wrote a script which will count all the non clustered indexes on tables in the whole database. Excessive indexing is not recommended in general. If you have too many indexes it will definitely negatively affect your performance. The above query will quickly give you details of numbers of indexes on tables on your entire database. You can quickly glance and use the numbers as reference. Please note that the number of the index is not a indication of bad indexes. There is a lot of wisdom I can write here but that is not the scope of this blog post. There are many different rules with Indexes and many different scenarios. For example – a table which is heap (no clustered index) is often not recommended on OLTP workload (here is the blog post to identify them), drop unused indexes with careful observation (here is the script for it), identify missing indexes and after careful testing add them (here is the script for it). Even though I have given few links here it is just the tip of the iceberg. If you follow only above four advices your ship may still sink. Those who wants to learn the subject in depth can watch the videos here after logging in. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Index, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • How to conciliate OOAD and Database Design?

    - by user1620696
    Recently I've studied about object oriented analysis and design and I liked a lot about it. In every place I've read people say that the idea is to start with the minimum set of requirements and go improving along the way, revisiting this each iteration and making it better as we contiuously develop and contact the customer interested in the software. In particular, one course from Lynda.com said a lot of that: we don't want to spend a lot of time planing everything upfront, we just want to have the minimum to get started and then improve this each iteration. Now, I've also seem a course from the same guy about database design, and there he says differently. He says that although when working with object orientation he likes the agile iterative approach, for database design we should really spend a lot of time planing things upfront instead of just going along the way with the minimum. But this confuses me a little. Indeed, the database will persist important data from our domain model and perhaps configurations of the software and so on. Now, if I'm going to continuously revist the analysis and design of the model, it seems the database design should change also. In the same way, if we plan all the database upfront it seems we are also planing all the model upfront, so the two ideas seems to be incompatible. I really like agile iterative approach, but I'm also looking at getting better design for the database also, so when working with agile iterative approach, how should we deal with the database design?

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  • Implementation details of database synchronisation API

    - by Daniel
    I want to achieve a database synchronisation between my server database and a client application. The server would run MySQL and the applications may run different database technologies, their implementation isn't important. I have a MySQL database online and web accessible via an API I wrote in PHP (just a detail). My client application ships with a copy of the online data. As time passes my goal is to check for any changes in the online database and make these updates available to the client app via an API call, by sending a date to an API endpoint corresponding to the last date the app was updated, the response would be a JSON filled with all new objects and updated objects, and delete IDs, this makes possible to update the local store appropriately. Essentially I want to do this: http://dbconvert.com/synchronization.php My question is about the implementation details. Would I need to add a column to my database tables with a "last modified" date? Since the client app could be very out of date if it's been offline for a long time, does that also mean I shouldn't delete data from the online database but instead have another column called "delete" set to 1 and a modified date updated appropriately? Would my SQL query simply check for all data with a modified date superior then the date passed into the API request by the client? I feel like there's a lot more to it then having a ton of dates everywhere. And also, worry that I will need to persist a lot of old data in order to ensure that old versions of the client app always have the opportunity to delete parts of their data when they are able to sync.

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  • Oracle Database 12c is Generally Available

    - by Thanos
    Oracle Database 12c, a major release of Oracle’s flagship product, is generally available as of 25 June 2013. Oracle Database 12c introduces a breakthrough, new multitenant architecture enabling customers to create multiple, pluggable databases for database consolidation and cloud deployments. Customers will realize greater efficiency and flexibility through innovations such as Oracle Multitenant option and Automatic Data Optimization with Heat Map, for compressing and tiering data at a higher density. These unique advancements, combined with major enhancements in availability, security, and big data support, make Oracle Database 12c the ideal platform for private and public cloud deployments. As of 25/06/2013, the product is available for download on Linux x86-64, Solaris Sparc64 and Solaris (x86-64) via Oracle Technology Network. A news release is planned for July 1st, and an external launch webcast, Plug into the Cloud with Oracle Database 12c, featuring Mark Hurd, Andy Mendelsohn, Tom Kyte and other experts is planned for July 10th. Open here in New Window Everybody can register for the launch webcast here and register to attend global in-person events here. Resources: www.oracle.com/database www.oracle.com/databaseoptions Oracle Partner Network Database Knowledge Zone Open in Google Docs Viewer Open link in new tab Open link in new window Open link in new incognito window Download file Copy link address Edit PDF File on PDFescape.com

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  • SQL SERVER – Get Latest SQL Query for Sessions – DMV

    - by pinaldave
    In recent SQL Training I was asked, how can one figure out what was the last SQL Statement executed in sessions. The query for this is very simple. It uses two DMVs and created following quick script for the same. SELECT session_id, TEXT FROM sys.dm_exec_connections CROSS APPLY sys.dm_exec_sql_text(most_recent_sql_handle) AS ST While working with DMVs if you ever find any DMV has column with name sql_handle you can right away join that DMV with another DMV sys.dm_exec_sql_text and can get the text of the SQL statement. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: DMV, SQL DMV

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  • Enterprise Manager Database Control Configuration - Recovering From Errors Due to CA Expiry on Oracle Database 10.2.0.4 or 10.2.0.5 from 31-Dec-2010 onwards

    - by jayatheertha.rao(at)oracle.com
    Description What is the Issue? In Enterprise Manager Database Control with Oracle Database 10.2.0.4 and 10.2.0.5, the root certificate used to secure communications via the Secure Socket Layer (SSL) protocol will expire on 31-Dec-2010 00:00:00. The certificate expiration will cause errors if you attempt to configure Database Control on or after 31-Dec-2010. Existing Database Control configurations are not affected by this issue. Likelihood of Occurrence What Versions Are Affected? The issue impacts configuration of Database Control with Oracle Database 10.2.0.4 and 10.2.0.5 only. It does not impact database creation or upgrade. The issue does not impact existing Database Control configurations. What Happens During Database Control Configuration Failure? Database Configuration Assistant (DBCA) and Database Upgrade Assistant (DBUA) Errors Database Configuration Assistant (DBCA) and Database Upgrade Assistant (DBUA) will report the following error in the console: Could not complete the Enterprise Manager configuration.Enterprise manager configuration failed due to the following error -Error starting Database Control Enterprise Manager Configuration Assistant (EMCA) Errors Enterprise Manager Configuration Assistant (EMCA) will write errors similar to those below to the emca.log file: CONFIG: Securing Database Control completed successfully .Jan 2, 2011 7:22:47 PM oracle.sysman.emcp.ParamsManager getParamCONFIG: No value was set for the parameter ORACLE_HOSTNAME.Jan 2, 2011 7:22:47 PM oracle.sysman.emcp.util.DBControlUtil startOMSINFO: Starting Database Control (this may take a while) ...Jan 2, 2011 7:22:47 PM oracle.sysman.emcp.util.PlatformInterface addEnvVarToListCONFIG: Value for env var 'ORACLE_HOSTNAME' is '', discarding the sameCONFIG: Returning env array from cacheJan 2, 2011 7:22:47 PM oracle.sysman.emcp.util.PlatformInterface executeCommandCONFIG: Starting execution: /myhost/bin/emctl start dbconsoleJan 2, 2011 7:27:26 PM oracle.sysman.emcp.util.PlatformInterface executeCommandCONFIG: Exit value of 1Jan 2, 2011 7:27:26 PM oracle.sysman.emcp.util.PlatformInterface executeCommandCONFIG: Oracle Enterprise Manager 10g Database Control Release 10.2.0.4.0Copyright (c) 1996, 2007 Oracle Corporation. All rights reserved.https://myhost:5501/em/console/aboutApplicationStarting Oracle Enterprise Manager 10g Database Control............................................................................................. failed.------------------------------------------------------------------Logs are generated in directory /myhost/sysman/logJan 2, 2011 7:27:26 PM oracle.sysman.emcp.util.PlatformInterface executeCommandWARNING: Error executing /myhost/bin/emctl start dbconsoleJan 2, 2011 7:27:26 PM oracle.sysman.emcp.EMConfig performSEVERE: Error starting Database ControlRefer to the log file at /myhost/dbua/d4/upgrade/emConfig.log for more details.Jan 2, 2011 7:27:26 PM oracle.sysman.emcp.EMConfig performCONFIG: Stack Trace:oracle.sysman.emcp.exception.EMConfigException: Error starting Database Controlat oracle.sysman.emcp.EMDBPostConfig.performUpgrade(EMDBPostConfig.java:763)at oracle.sysman.emcp.EMDBPostConfig.invoke(EMDBPostConfig.java:232)at oracle.sysman.emcp.EMDBPostConfig.invoke(EMDBPostConfig.java:193)at oracle.sysman.emcp.EMConfig.perform(EMConfig.java:184)at oracle.sysman.assistants.util.em.EMConfiguration.run(EMConfiguration.java:436)at oracle.sysman.assistants.util.em.EMConfigStep.executeImpl(EMConfigStep.java:140)at oracle.sysman.assistants.util.step.BasicStep.execute(BasicStep.java:210)at oracle.sysman.assistants.util.step.BasicStep.callStep(BasicStep.java:251)at oracle.sysman.assistants.dbma.backend.EMConfigStep.executeStepImpl(EMConfigStep.java:104)at oracle.sysman.assistants.dbma.backend.SummarizableStep.executeImpl(SummarizableStep.java:175)at oracle.sysman.assistants.util.step.BasicStep.execute(BasicStep.java:210)at oracle.sysman.assistants.util.step.Step.execute(Step.java:140)at oracle.sysman.assistants.util.step.StepContext$ModeRunner.run(StepContext.java:2488)at java.lang.Thread.run(Thread.java:534) The EMCA console will display output similar to the following: aime@myhost09 db_1]$ bin/emca -config dbcontrol db -repos recreate -clusterSTARTED EMCA at Jan 11, 2011 4:11:01 PMEM Configuration Assistant, Version 10.2.0.1.0 ProductionCopyright (c) 2003, 2005, Oracle. All rights reserved.Enter the following information:Database unique name: catestDatabase Control is already configured for the database catestYou have chosen to configure Database Control for managing the database catestThis will remove the existing configuration and the default settings and perform a fresh configurationDo you wish to continue? [yes(Y)/no(N)]: YListener port number: 1521Cluster name: myclusterPassword for SYS user:Password for DBSNMP user:Password for SYSMAN user:Email address for notifications (optional):Outgoing Mail (SMTP) server for notifications (optional):........Jan 11, 2011 4:18:05 PM oracle.sysman.emcp.util.DBControlUtil secureDBConsoleINFO: Securing Database Control (this may take a while) ...Jan 11, 2011 4:19:31 PM oracle.sysman.emcp.util.DBControlUtil startOMSINFO: Starting Database Control (this may take a while) ...Jan 11, 2011 4:28:38 PM oracle.sysman.emcp.EMConfig performSEVERE: Error starting Database ControlRefer to the log file at /myhost/oracle/product/10.2.0/db_1/cfgtoollogs/emca/catest/emca_2011-01-11_04-11-01-PM.log for more details.Could not complete the configuration. Refer to the log file at /myhost/oracle/product/10.2.0/db_1/cfgtoollogs/emca/catest/emca_2011-01-11_04-11-01-PM.log for more details. At the end of the database installation on non-Windows platforms, both Database Control and the Management Agent will be up and running, even though the status of both components will be shown as not running, because EMCTL will be unable to connect to the dbconsole process. In addition, Database Control will fail to connect to the Agent. Note for Windows Platform Only:On Windows, the dbconsole process will be stopped after the failed configuration attempt. Note that the tool used to perform Database Control configuration (DBUA, DBCA or EMCA) will also wait for 15 minutes for Database Control to start, then time out. The output of the "emctl status dbconsole" command incorrectly returns the status of Database Control, as shown below: $ ./emctl status dbconsoleOracle Enterprise Manager 10g Database Control Release 10.2.0.1.0Copyright (c) 1996, 2005 Oracle Corporation. All rights reserved.https://myhost:1158/em/console/aboutApplicationOracle Enterprise Manager 10g is not running. The output of the "emctl status agent" command incorrectly returns the status of the Agent, as shownbelow: $ ./emctl status agentOracle Enterprise Manager 10g Database Control Release 10.2.0.1.0Copyright (c) 1996, 2005 Oracle Corporation. All rights reserved.---------------------------------------------------------------Agent is Not Running   For Solution, refer to Note: 1222603.1 Note: 1217493.1

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  • optimizing an sql query using inner join and order by

    - by Sergio B
    I'm trying to optimize the following query without success. Any idea where it could be indexed to prevent the temporary table and the filesort? EXPLAIN SELECT SQL_NO_CACHE `groups`.* FROM `groups` INNER JOIN `memberships` ON `groups`.id = `memberships`.group_id WHERE ((`memberships`.user_id = 1) AND (`memberships`.`status_code` = 1 AND `memberships`.`manager` = 0)) ORDER BY groups.created_at DESC LIMIT 5;` +----+-------------+-------------+--------+--------------------------+---------+---------+---------------------------------------------+------+----------------------------------------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+-------------+-------------+--------+--------------------------+---------+---------+---------------------------------------------+------+----------------------------------------------+ | 1 | SIMPLE | memberships | ref | grp_usr,grp,usr,grp_mngr | usr | 5 | const | 5 | Using where; Using temporary; Using filesort | | 1 | SIMPLE | groups | eq_ref | PRIMARY | PRIMARY | 4 | sportspool_development.memberships.group_id | 1 | | +----+-------------+-------------+--------+--------------------------+---------+---------+---------------------------------------------+------+----------------------------------------------+ 2 rows in set (0.00 sec) +--------+------------+-----------------------------------+--------------+-----------------+-----------+-------------+----------+--------+------+------------+---------+ | Table | Non_unique | Key_name | Seq_in_index | Column_name | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment | +--------+------------+-----------------------------------+--------------+-----------------+-----------+-------------+----------+--------+------+------------+---------+ | groups | 0 | PRIMARY | 1 | id | A | 6 | NULL | NULL | | BTREE | | | groups | 1 | index_groups_on_name | 1 | name | A | 6 | NULL | NULL | YES | BTREE | | | groups | 1 | index_groups_on_privacy_setting | 1 | privacy_setting | A | 6 | NULL | NULL | YES | BTREE | | | groups | 1 | index_groups_on_created_at | 1 | created_at | A | 6 | NULL | NULL | YES | BTREE | | | groups | 1 | index_groups_on_id_and_created_at | 1 | id | A | 6 | NULL | NULL | | BTREE | | | groups | 1 | index_groups_on_id_and_created_at | 2 | created_at | A | 6 | NULL | NULL | YES | BTREE | | +--------+------------+-----------------------------------+--------------+-----------------+-----------+-------------+----------+--------+------+------------+---------+ +-------------+------------+----------------------------------------------------------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+ | Table | Non_unique | Key_name | Seq_in_index | Column_name | Collation | Cardinality | Sub_part | Packed | Null | Index_type | Comment | +-------------+------------+----------------------------------------------------------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+ | memberships | 0 | PRIMARY | 1 | id | A | 2 | NULL | NULL | | BTREE | | | memberships | 0 | grp_usr | 1 | group_id | A | 2 | NULL | NULL | YES | BTREE | | | memberships | 0 | grp_usr | 2 | user_id | A | 2 | NULL | NULL | YES | BTREE | | | memberships | 1 | grp | 1 | group_id | A | 2 | NULL | NULL | YES | BTREE | | | memberships | 1 | usr | 1 | user_id | A | 2 | NULL | NULL | YES | BTREE | | | memberships | 1 | grp_mngr | 1 | group_id | A | 2 | NULL | NULL | YES | BTREE | | | memberships | 1 | grp_mngr | 2 | manager | A | 2 | NULL | NULL | YES | BTREE | | | memberships | 1 | complex_index | 1 | group_id | A | 2 | NULL | NULL | YES | BTREE | | | memberships | 1 | complex_index | 2 | user_id | A | 2 | NULL | NULL | YES | BTREE | | | memberships | 1 | complex_index | 3 | status_code | A | 2 | NULL | NULL | YES | BTREE | | | memberships | 1 | complex_index | 4 | manager | A | 2 | NULL | NULL | YES | BTREE | | | memberships | 1 | index_memberships_on_user_id_and_status_code_and_manager | 1 | user_id | A | 2 | NULL | NULL | YES | BTREE | | | memberships | 1 | index_memberships_on_user_id_and_status_code_and_manager | 2 | status_code | A | 2 | NULL | NULL | YES | BTREE | | | memberships | 1 | index_memberships_on_user_id_and_status_code_and_manager | 3 | manager | A | 2 | NULL | NULL | YES | BTREE | | +-------------+------------+----------------------------------------------------------+--------------+-------------+-----------+-------------+----------+--------+------+------------+---------+

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  • how to write this typical mysql query( ho to use subquery column into main query)

    - by I Like PHP
    I HAVE TWO TABLES shown below table_joining id join_id(PK) transfer_id(FK) unit_id transfer_date joining_date 1 j_1 t_1 u_1 2010-06-05 2010-03-05 2 j_2 t_2 u_3 2010-05-10 2010-03-10 3 j_3 t_3 u_6 2010-04-10 2010-01-01 4 j_5 NULL u_3 NULL 2010-06-05 5 j_6 NULL u_4 NULL 2010-05-05 table_transfer id transfer_id(PK) pastUnitId futureUnitId effective_transfer_date 1 t_1 u_3 u_1 2010-06-05 2 t_2 u_6 u_1 2010-05-10 3 t_3 u_5 u_3 2010-04-10 now i want to know total employee detalis( using join_id) which are currently working on unit u_3 . means i want only join_id j_1 (has transfered but effective_transfer_date is future date, right now in u_3) j_2 ( tansfered and right now in `u_3` bcoz effective_transfer_date has been passed) j_6 ( right now in `u_3` and never transfered) what i need to take care of below steps( as far as i know ) <1> first need to check from table_joining whether transfer_id is NULL or not <2> if transfer_id= is NULL then see unit_id=u_3 where joining_date <=CURDATE() ( means that person already joined u_3) <3> if transfer_id is NOT NULL then go to table_transfer using transfer_id (foreign key reference) <4> now see the effective_transfer_date regrading that transfer_id whether effective_transfer_date<=CURDATE() <5> if transfer date has been passed(means transfer has been done) then return futureUnitID otherwise return pastUnitID i used two separate query but don't know how to join those query?? for step <1 ans <2 SELECT unit_id FROM table_joining WHERE joining_date<=CURDATE() AND transfer_id IS NULL AND unit_id='u_3' for step<5 SELECT IF(effective_transfer_date <= CURDATE(),futureUnitId,pastUnitId) AS currentUnitID FROM table_transfer // here how do we select only those rows which have currentUnitID='u_3' ?? please guide me the process?? i m just confused with JOINS. i think using LEFT JOIN can return the data i need, but i m not getting how to implement ...please help me. Thanks for helping me alwayz

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  • Designing complex query builders in java/jpa/hibernate

    - by Ramraj Edagutti
    I need to build complex sql queries programatically, based on large filter conditions. For example, below are few sample/hypothitical filter conditions, based on which i need to fetch users Country: india States: Andhra Pradesh(AP), Gujarat(GUJ), karnataka(KTK) Districts: All districts in AP except 3 district, 5 any districts from GUJ, all district from KTK except 1 district Cities: All cities in AP, all cities except few, include only 50 specific cities from KTK Villages: similar conditions like above with varies combinations... Currently, we have a query builder, which is very complex in nature, and not easy to modify/re-factory for improvements. So, thinking of complete re-design of it. Any suggesations on how to build this kind of complex query builders programmatically using some best practices/deisgn patterns?

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