esProc SPL is a JVM-based programming language designed for structured data computation, serving as both a data analysis tool and an embedded computing engine.
Joined November 2017
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Query the Records Closest to the Specified Time Each Day—From SQL to SPL #43
⚙️#SQL: Window functions + complex time diff logic
⚡#SPL: One-liner with minp() and relative time
Clean. Fast. Intuitive.
🧩TryItFREE:esproc.com/download-esproc
#DataAnalytics #TimeSeries #DataEngineering
🚨Generate Sequence Numbers by Time Intervals — From SQL to SPL #42
😵💫#SQL: Nested window functions & CASE WHEN chaos
🔁#SPL: Clean, intuitive loop with relative position
🧩TryItFree:esproc.com/download-esproc
#DataEngineering #esProc #Analytics
Row to Column Conversion Involving Uncertain Columns—From SQL to SPL#41
In #SQL, PIVOT requires hardcoded column names🧩
With #SPL, convert rows to columns dynamically — no field names needed!
One script fits all.
👉TryItFREE: esproc.com/download-esproc
#DataEngineering #PivotTable
Search for Records Containing a Specified String Group in Multi Fields — From SQL to SPL #40
#SQL: tangled mess of REGEXP, CONNECT BY, or stored procedures😩
#SPL: convert to sets & compare. Elegant. Simple. Fast.
Try It FREE👉esproc.com/download-esproc
#DataEngineering #database
Need to inject records before each group in your result set — based on dynamic conditions?
❗ SQL forces aggregation post-grouping.
✅ SPL keeps it clean and intuitive.
Explore the full breakdown here 👇
Add Records that Meet the Criteria before Each Group after Grouping—From SQL to SPL #39
🔍#SQL :forced aggregation and lack of subset retention.
📷#SPL :retaining subsets & supporting group-level operations.
Try It FREE:esproc.com/download-esproc #DataEngineering #PostgreSQL #ETL
Need to inject records before each group in your result set — based on dynamic conditions?
SQL can get messy really quickly. 🥲
✅ SPL keeps it clean and intuitive!
Explore the full breakdown here and get some insights👇
Add Records that Meet the Criteria before Each Group after Grouping—From SQL to SPL #39
🔍#SQL :forced aggregation and lack of subset retention.
📷#SPL :retaining subsets & supporting group-level operations.
Try It FREE:esproc.com/download-esproc #DataEngineering #PostgreSQL #ETL
Need to inject records before each group in your result set — based on dynamic conditions?
SQL can get messy really quickly. 🥲
✅ SPL keeps it clean and intuitive!
Explore the full breakdown here 👇
Add Records that Meet the Criteria before Each Group after Grouping—From SQL to SPL #39
🔍#SQL :forced aggregation and lack of subset retention.
📷#SPL :retaining subsets & supporting group-level operations.
Try It FREE:esproc.com/download-esproc #DataEngineering #PostgreSQL #ETL
Add Records that Meet the Criteria before Each Group after Grouping—From SQL to SPL #39
🔍#SQL :forced aggregation and lack of subset retention.
📷#SPL :retaining subsets & supporting group-level operations.
Try It FREE:esproc.com/download-esproc #DataEngineering #PostgreSQL #ETL
How many unique products has each account purchased before each day?
SPL retains grouped subsets and allows intuitive cross-row operations.
No tricks. Just data logic that makes sense. ✅
Check the details out and Try It FREE: esproc.com/download-esproc
Count Distinct within Intervals in Order — From SQL to SPL #38
#SQL struggles with this — requires nested queries & window functions.
#SPL makes it clean with ordered grouping & simple cross-row access.
👉Try It FREE: esproc.com/download-esproc
#DataAnalytics #Database #ETL #data
Count Distinct within Intervals in Order — From SQL to SPL #38
#SQL struggles with this — requires nested queries & window functions.
#SPL makes it clean with ordered grouping & simple cross-row access.
👉Try It FREE: esproc.com/download-esproc
#DataAnalytics #Database #ETL #data
Count Distinct within Intervals in Order — From SQL to SPL #38
#SQL struggles with this — requires nested queries & window functions.
#SPL makes it clean with ordered grouping & simple cross-row access.
👉Try It Free: esproc.com/download-esproc |
#DataAnalytics #ETL #Data #Coding
Open-Source SPL makes multi-level aggregation natural and readable. Check the details out 👇And Try It FREE: esproc.com/download-esproc
Conditional Grouping — From SQL to SPL #37
✅ Group by 2 fields, conditionally regroup if DATEs duplicate, and calculate dynamic sums.
#SQL = nested queries & window functions😵💫
#SPL = flexible groups + intuitive logic😎
👉 Try It FREE try.esproc.com/splx?44C
#DataEngineering
Conditional Grouping — From SQL to SPL #37
✅ Group by 2 fields, conditionally regroup if DATEs duplicate, and calculate dynamic sums.
#SQL = nested queries & window functions😵💫
#SPL = flexible groups + intuitive logic😎
👉 Try It FREE try.esproc.com/splx?44C
#DataEngineering
Have a table with duplicate values? Want to keep only the first occurrence and set the rest to NULL?
See how SPL simplifies data processing!
And Try It FREE 🆓👇
Change Duplicate Contents to NULL — From SQL to SPL #36
#SQL → Complex window functions😵💫
#SPL → Built-in row numbers for an elegant solution✨
✅ Keep the first row in each group
✅ Set duplicates to NULL
Try It FREE: try.esproc.com/splx?3Wp
#DataEngineering #DataProcessing
Change Duplicate Contents to NULL — From SQL to SPL #36
#SQL → Complex window functions😵💫
#SPL → Built-in row numbers for an elegant solution✨
✅ Keep the first row in each group
✅ Set duplicates to NULL
Try It FREE: try.esproc.com/splx?3Wp
#DataEngineering #DataProcessing
Need to find the starting point when inventory hit zero using total stock on a given date? SPL spares the complexity of SQL.
Check the differences out below ⬇️ Try it FREE: esproc.com/download-esproc
Get the Initial Date Using the Total — From SQL to SPL #35
⚙️ SQL: Long, nested window functions 😵
⚡ SPL: Simple, readable logic using relative positioning
No-brainer.
🔗 Try.Demo: try.esproc.com/splx?3FZ
#SQL #SPL #DataAnalytics #InventoryTracking #esProc #ETL #DataAnalysis
Get the Initial Date Using the Total — From SQL to SPL #35
⚙️ SQL: Long, nested window functions 😵
⚡ SPL: Simple, readable logic using relative positioning
No-brainer.
🔗 Try.Demo: try.esproc.com/splx?3FZ
#SQL #SPL #DataAnalytics #InventoryTracking #esProc #ETL #DataAnalysis
Ever tried calculating available inventory from 2 tables? 🧐In SPL, you can handle it with set operations and intuitive functions — making your code simpler, shorter, and far more readable. Check the detailed code comparisons out 👇
Getting the Available Ranges from Two Tables — From SQL to SPL #34
Subtracting overlapping number ranges from 2 tables to get inventory?
🧱#SQL requires multiple steps, while #SPL uses simple set difference in intuitive syntax.
➡️TryDEMO: try.esproc.com/splx?3xM
#DataEngineering
Getting the Available Ranges from Two Tables — From SQL to SPL #34
Subtracting overlapping number ranges from 2 tables to get inventory?
🧱#SQL requires multiple steps, while #SPL uses simple set difference in intuitive syntax.
➡️TryDEMO: try.esproc.com/splx?3xM
#DataEngineering
🔧 Learn how SPL simplifies recursive calculations while making your code easier to read and maintain.
Total under Recursive Relationship — From #SQL to #SPL #33
🔄 SQL recursion headache? Try SPL instead.
🧾SQL = nested CTEs, confusing logic
⚡SPL = clean references + recursive functions
Try.DEMO: try.esproc.com/splx?2SJ
#DataEngineering #DataAnalystics #data #RecursiveQuery