99 skills found · Page 2 of 4
hardmaru / Quickdraw Ndjson To NpzConvert RAW Quickdraw datafiles into stroke-based .npz format with RDP at variable epsilon for sketch-rnn
Mysakura / DataFiles数据文件
NordPerfEngg / OracleDBALiteApplication: DBALite Oracle Database Performance Summary App Application Purpose: Provide Oracle host and database performance info suitable for non-dbas. Target users are Non-dba performance engineers, testers, prod support staff and application team members who want to proactively and reactively monitor their databases. Licensing: Because this App queries the dba_hist_sqlstat AWR data, a license must exist for the Oracle Diagnostic Pack. Most facilities running Oracle databases have this license. Application Basic Structure: Four stored procedures run in the Oracle database. They read performance data tables and write it out to datafiles which are consumed by Splunk. Oracle Scheduler jobs execute the stored procedures at configurable intervals. The app also uses the Splunk Add-on for Unix and Linux to get host metrics. Dependencies: Splunk Add-on for Unix and Linux (http://docs.splunk.com/Documentation/UnixAddOn/latest/User/InstalltheSplunkAdd-onforUnixandLinux) Stored procedures and scheduler jobs running in Oracle Database 11.1 or higher (procedures scripts included in the setup files.) Index creation: Splunk Add-on For Unix and Linux will create the 'unix_metrics' index. This DBALite app will create the 'database' index. Sourcetypes: om:oracle:locks -- snapshot information about blocking locks om:oracle:memory -- Oracle sga and pga memory statistics om:oracle:osstat -- Operating System stats from v$osstat table om:oracle:sql -- top resource consuming sqls from dba_hist_sqlstat om:oracle:sqltext -- sqltext for the top resource consuming sqls om:oracle:sysevent -- wait event information om:oracle:sysstat -- performance statistics from v$sysstat table Installation: Oracle Setup: Copy all the sql scripts from the Oracle_Performance_Summary_For_Splunk/bin directory to your database server or run them in SQL Developer or other tool. Connect to your database. As sysdba, create the splunk sch_spl user. (Sysdba is required for this one script in order to grant privileges on DBMS_LOCK and UTL_FILE: @cr_sch_spl.sql Create a unix directory where you want Oracle to write the output files. Splunk will pick up the data from these output files created by the stored procedures. If the owner of the directory is not the ORACLE user, then make the ORACLE user a member of the Unix group for the directory so that Oracle can write to the directory. Make the permissions on the directory 774. Note: For a RAC database, just create the directory on one node. The app is not elaborate enough to provide failover capabilities, so in case of an outage of its node, the data would just not be written until the node came back online. Create an Oracle Directory called 'DIR_SPLUNK' using the above unix directory. Example: CREATE DIRECTORY dir_splunk as '/u01/perf/dbdashboard/data'; grant read,write on directory dir_splunk to sch_spl; As the splunk user SCH_SPL, create the stored procedures and scheduler jobs that will run them: @cr_procs_and_jobs.sql After 10 minutes, check the data files to confirm there is data being written to them. These data files should exist: dbd_locks.txt dbd_memory.txt dbd_osstat.txt dbd_sysevents.txt dbd_sysstat.txt dbd_top_sql_text.txt dbd_top_sql.txt To check the scheduler jobs, as SCH_SPL user, execute: 'SELECT job_name, actual_start_date, status, additional_info from user_scheduler_job_run_details order by actual_start_date;'
jenniferColonell / SpikeGLX Datafile ToolsExample code for reading SpikeGLX metadata and binary files
GlobalDataverseCommunityConsortium / Dataverse PreviewersA collection of Datafile Previewers that can be configured to work with Dataverse
Blosc / Movielens BenchDatafiles for the MovieLens for benchmarking purposes
hausfath / Warming MapSupporting python and datafiles for Carbon Brief's interactive global temperature map
CoBrALab / Minc Bpipe LibraryLibrary of bpipe implemented commands commonly applied to minc datafiles, suitable for importing into other pipelines
DASpringate / Cochrane ScraperTools to download datafiles from the Cochrane Library of Systematic Reviews
jehiah / SortdbMake a sorted tsv or csv datafile available over HTTP
zladovan / Gradle Avrohugger PluginGradle plugin for generating scala case classes from apache avro schemas, datafiles and protocols
JE1314 / LAMMPS BuilderGenerate LAMMPS datafile of confined tribological systems for NEMD simulations. Structure: slab-OFM-alkane-OFM-slab
danklammer / Jekyll Airtable DataJekyll plugin to pull down your Airtable tables as datafiles (JSON) through Jekyll Commands
koomas / NDT ML FlawThese are datafiles for teaching a machine learning model for ultrasonic testing. The Data is from dissimilar metal weld and contains segmentation crack and EDM notch flaw types. In addition, there is CIVA simulated flaws.
stephenpfahy / Web Applications ProjectThis is a repository for the project for the Web Applications module for the Higher Diploma in Science (Software Development). It is a client based website which was built using HTML5, CSS3 and JavaScript. The website is connected to a relational database via PHP which inserts, reads, updates, and deletes information entered by the user from the website into the relational database. The relational database used was created for the Database Design & Development Module. Stephen Fahy G00172772 WEB SITE DESIGN 13/12/2015 The projectmain file contains all the files for my South Dublin Housing Council website. This consists of my six html5 webpages. There is a homepage, a tenants page, a property page, a repairs page, a tradesman page and an equipment page. Each webpage is linked to each other by a sidebar on every webpage with links to the other pages. You enter the website via the homepage which then can access all the other webpages of the website. In the projectmain file there is the css file whch contains the external css design for the website, a images file which contains the images for my website, a js file which contains the javascript for the website, and a php file which contains the php insert statements and select statements for each webpage except the homepage. The website is linked to a database via HTML5 forms and my php code on each webpage except the homepage. The database can be accessed by opening the south_dublin_housing_council_repairs file which contains the datafiles or by importing the south_dublin_housing_council_repairs.sql file into your phpadmin in mysql. The website is designed for South Dublin Housing Council's employees so that they can view and update the council's database. The employees access the website via the council's private intranet network which can be used in the main South Dublin Housing Council building in Tallaght or in other council buildings in South Dublin. The employees access the website via the homepage which accesses the other webpages. On the other 5 webpages employees can view the council's database or they can update it. The majority of the website css design was done in an external css file in completesite.css. There was internal css design done in the website such as the table on the homepage using the <style> tag and there was inline css design using the style attribute such as the paragraph on line 108 on the property webpage. Javascript was used to add a link to googlemaps on the property page website so users could view the south Dublin area in Google maps. Php insert and select statements were used to update and view data in the database from a website. The php insert and select statements were used in all the pages except the homepage. All my html5 files have been validated using w3c markup validation service. The website is functional in all browsers but is best viewed in Google Chrome or Mozilla Firefox. CHANGES TO THE WEBSITE FROM THE WEBSITE DESIGN. The website design was not changed when the website was being created, but there was some slight changes made. They changes made are as follows: 1. In the property table the TENANT column was changed to TENANT_ID to have the same name has the TENANT_ID primary key in the tenant table. 2. In the property table the REPAIRS column was changed to REPAIR_ID to have the same name has the REPAIR_ID primary key in the repairs table. 3. In the repairs table the TRADEMAN column was changed to TRADESMAN_ID to have the same name has the TRADESMAN_ID primary key in the tradesman table. 4. In the trademan table the AVAILABILITY column was removed as the information provided with this column conflicted with information in the DATE and TIME columns in the repairs table. 5. In the tradesman table the EQUIPMENT column was changed to EQUIPMENT_ID to have the same name has the EQUIPMENT_ID primary key in the equipment table. 6. In the homepage of the website a table and extra headings were added to section div tag. Also a link was added to this section to bring the user to the next webpage. 7. In the tenant page there were a few changes made to the section div tag. A few extra paragrahs were added and links to view the database were added. There was a link added to go to next page. 8. In the property page there were a few changes made to the sectin div. A few extra paragraphs were added and links to view the database and to go to the homepage were added. 9. A javascript link to view google maps was added to the property page. 10.In the repairs page a few extra paragraphs were added and links to view the database and a link to go to the next page. 11.In the tradesman page a few extra paragraphs were added and links to view the database and a link to go to the next page. 12.In the equipment page a few extra paragraphs were added and links to view the database and a link to go to the next page.
vovan- / Cyclist Datafiled GarminCyclist datafiled for Garmin Connect IQ store. Fenix 3 and D2 Bravo watches supported.
BillYang2016 / Pcrwiki Datafilesthe essential extra files for pcrwiki
makubi / Avrohugger Maven PluginMaven plugin for generating Scala case classes and ADTs from Apache Avro schemas, datafiles, and protocols
rgergely / Steps2fitGarmin Connect IQ datafiled for counting steps during activities
LanguageMachines / UctodataDatafiles for the tokenizer ucto.
