SQL’de where şartında fonksiyon kullanmak performansı nasıl etkiler? #hergüne1sqlbilgisi #queryexecution #functionatwherecondition #veritabanıYönetimi #sqlperformance #ocolakoglu #udemysql #tsql #sql https://t.co/OjKj9PJVVS

SQL sorgusunun çalışıtırılırken ki sırası nasıldır? #hergüne1sqlbilgisi #queryexecution #executionorderInSql #sqladministration #dbManagement #veritabanıYönetimi #sqlperformance #sqlmemory #ocolakoglu #udemysql #tsql #sql

EXPLAIN COST is only supported in SQL today, but CBO stats are available in QueryExecution using toStringWithStats #ApacheSpark #SparkSQL

@heartsavior @jaceklaskowski @KurtFehlhauer @holdenkarau @crafty_coder @nickelsberry @MLnick It gets even more fun if you add queryExecution instead of explain:

Structured Query Execution Pipeline of Dataset (or good ol’ SQL) « I’m still unsure how to describe QueryExecution properly but the figure seems a step in the right direction, doesn’t it? https://t.co/otpABxtyWP #ApacheSpark #SparkSQL

In #ApacheSpark #SparkSQL there are the Query Execution Pipeline (QueryExecution) and the Physical Operator Execution Pipeline (SparkPlan). Very clever indeed. That all only now start to make sense (after 4+ years of studying Spark!) https://t.co/gnc2BA2LH4

HANA memory issues with heap allocator 'Pool/RowEngine/QueryExecution' ? May be a memory leak regarding collector 5033. This collector is deactivated by default in newer #HANA revisions. Check table size of HOST_RECORD_LOCKS_BASE. Useful #SAP notes: 2038937 / 2527251

How Query is Executed ................. #queryexecution, #databases, #SQL, #queryoptimization, #datamanagement, #querysyntax, #queryperformance, #querying, #querylanguage, #queryprocessing

“Polishing” the intros to #SparkSQL's QueryExecution and SparkPlan. I’m sure you’ll like the changes (as you should go very low-level with little to no hassle) #ApacheSpark https://t.co/P84oio0GHP / https://t.co/RZ9wnukKVv

I wrote a blog post about how to solve a performance issue in Power Query! Read it here: Watch your Steps! #PowerQuery Performance Caution in #PowerBI https://t.co/kpKgOfaSCI #PerformanceTuning #Caution #M #Excel #NumberOfVariables #NumberOfSteps #QueryExecution #PerformanceBoost

In this project, the majority of data was processed via Spark in AWS Glue. Via Spark’s built-in API, we can extract details on a job’s execution plan and access all the required information during runtime. https://t.co/xUVVspsLMo

خدمة الاستعلام عن بيانات مقدمي خدمات التنفيذ المعتمدين https://t.co/aAlzKBDPvF

Query Processing in DBMS #DBMS #SQL #QueryExecution

@jaceklaskowski @ApacheSpark @Data_AI_Summit .@ApacheSpark's QueryExecution #BigData #OpenSource #ApacheSpark

At long last found their role and place » Physical Plan Preparations Rules https://t.co/dzTKlwW0QB #ApacheSpark #SparkSQL

BigQuery Jobs Explorer: Track And Troubleshoot Job Queries Read more on https://t.co/bcVlMTBNOw #BigQuery #JobsExplorer #JobQueries #Troubleshoot #GoogleCloud #BigQueryjobsexplorer #Boostoutput #administrativejobsexplorer #queryexecution #Essentialroles #technology #technews

If you want a better performance of your structured queries (regardless whether they are batch or streaming), you have to peek at the foundations of Dataset API starting with QueryExecution👀 Get tickets at https://t.co/PbcofbrYIq to listen to @jaceklaskowski talk at #CrunchConf!

#ScalaMatsuri #rb queryExecutionを見るとRDDに対するTransformが見えるのも面白いですね。

“Composing” a brand new conference talk on the internals of #SparkSQL —> “Internals of Spark SQL — Fundamental Contracts / Fundamentals” feat. TreeNode, Rule, RuleExecutor and QueryExecution « What do you think? Would that match your interest? #ApacheSpark

Dataset is a LogicalPlan (a tree of LogicalPlans) first, then transformed to a SparkPlan. QueryExecution.toRDD executes it! #ApacheSpark