Tune your storage. How can you make a MyISAM table's .MYD faster to read? There are a lot of situations where the file is locked for reading, and in doing so the mutex problem is not an issue. Create the ufsReadfileAsString procedure and try something like… 1. But are direct reads really faster? Although now I am trying to read two large csv files in the same time, compare data and, if a match is found > write data to another new file. Reading a file into a SQL Server data type. About the caching of position and length - I tend to disagree. Thanks for your reply. Reading a database is much faster than reading text files or xml files, especially if you have a large number of records. If you have the luxury of caching the file once when the process starts, that method may be faster. When read, a MyISAM table's indexes can be read once from the .MYI file and loaded in the MyISAM Key Cache (as sized by key_buffer_size). Here is the link to download engine. It all depends on the volume of the data. You should change your DataBase design accordingly. Cheers, Currently i am reading data which is stored in .file in the format (abc|def|ghi|jkl|....|)using array and display the required data from the array as report data. Data is being appended to the .file every 20-39 mins. Best of MyISAM and InnoDB (Please Read This One First) Reading from PHP file or Database (which is faster?) Most people ask why is database so faster when compared to flat file entries of data. Reading the database is much faster: ... PyTables is a Python binding for the HDF5 database/file standard. You use only a very small config file and you don't need it faster. advice? Obviously that large of a file can not possibly be read into memory all at once, so that is not an option. What is faster performance wise? You may have to convert the files to blob in order to store them in the database. An object is a memory stream, which is hard to write using the normal methods. Select all Open in new window. Sub Read_File() Dim lines = File.ReadAllLines(MyfileName) Total_recs = lines.Count Dim parsed = (From line In lines Select New With {.Field1 = Mid(line, 46, 11), .Field2 = Mid(line, 62, 6), .Field3 = Mid(line, 73, 2)}) End Sub. Read it from somewhere else. While this is much faster than even locally attached Flash SSD, it's not nearly as fast as DRAM or byte-oriented data access on PMEM. Retrieves records FASTER. If you use these files with the common file handling functions, you soon go mad because the program is running very s-l-o-w-l-y. Term: Major Functions of Index Definition: 1) Enable the direct access to a record. as well as both src and tgt flat file load on local server example trying to load both on local server directory instead off ftp will also bring result faster. This means a file written on one machine can be copied to and used on a different machine with a different architecture; There are many more reasons for its popularity. Yes we cannot read xlsx file without installing office 2007. Can you please help me. Ah, I wish it was as easy as typing that three-word sentence. This way, you are now checking a file for each individual query. Append only. Archive tables and indexes that you’re no longer using. 35% faster reading and writing compared to the File System; No intermediary server required. It depends, though, on if and when you cache the .ini file. I'd imagine that it would take considerably longer than that to locate a file on the disk, read it, and then search it. It does a very good job of speeding up analytics and generating output faster. For more information, see Working with QVD files. For the volumes you mention, a database will probably be faster since you can index the tables. This means that it will be faster to retrieve all of them together, as they are stored in the same place and you do not have to perform a join. Of course the speed of the underlying disk subsystem's also plays a major role in increasing database speed. For instance, say you are reading a blog post together with its comments in a document-oriented database. That's really the question isn't? In this diagram, the entire block is being read from PMEM into DRAM, which is functionally the same as Flash SSD or spinning disk from a READ perspective. Thanks a lot in advance. Yes, I have the file name and the URL stored in the database and the URL is the actual URL that points to the file which is located in the File System. It is specifically designed and developed to enhance the performance of I/O operations and make the best possible use of the available hardware. If your objective is wall time, then that is what we should measure. Depending on your hardware and operating system, you should see that reads from the test1.db database file are about 35% faster than reads from individual files in the test1.dir or test1.tree folders. In this article, I show how you can save objects in a database and read back from the database. Oracle database direct path reads are supposed to be faster than db file scattered reads. a) Performing all the operations/transformations over a flat file as a source (location is server directory on Windows machine) b) Or first dumping the data into a oracle table and then doing the subsequent operations Pl. You should use Primary Key for searching the data. But sometimes you have big databases, large files, and you have to look at them all the time while the program is executing. CI serializes the result object and stores it in a file, so that exact same thing is pulled back. How do I go about doing that? Some odd answers so far. Most databases are good at handling concurrent access, all you need to make sure is that you open a connection when you need to and close it afterwards. In which you should not need to search such data with like operator. - El Forum - 03-10-2009 [eluser]drewbee[/eluser] Keep it in the database, and use query cache. Note: Please Execute tst.sql in MS-SQL. 3. There are many reasons behind that, one of them is indexing. With this: ALTER TABLE mytable ROW_FORMAT=Fixed; I wrote about this in my past posts. Your help is highly appreciated. sonali Use Enterprise Edition’s data compression to shrink the size of your database on disk. Posted on 30-Mar-2016 by Craig Shallahamer, craig@orapub.com . The change could be much dynamic and it happens frequently. Reading and writing are done directly from the database files on the disk ; Cross-platform database file format. and. 4. It is freeware. Like Operator reduce the performance. Generally it's quicker to make a database call, as some data is cached in RAM, and the data is also indexed. Select dbo. JSON is a way of representing data as somewhat structured text. Make the drives faster. I need to read content of large files up to 50 mb and these are ai files or can be of nay other type , when using openrowset , it reads the file but truncates it in middle. (Keep track of record's location on disk). ufsReadfileAsString ('MyPath', 'MyFileName') Writing out a file. Are Oracle Direct Path Reads Faster Than DB File Scattered Reads? We can fetch data into D3 by different methods, we can directly pull the data from CSV files by using d3.csv() function or by calling AJAX function and passing the data object to the D3 JS charts. 2) enforce no-duplication of key field This is all very well, but how about something that reads a file in one gulp into a varchar or XML datatype? loading data directly from DB Tables and TGT desgined without key or constraint..perform bulk load u will get result faster. Its best to access your files using a server-side script for security reasons, I think. Make it smaller. 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