Parsing Fixed‑Format Text in Rexx with the PARSE Instruction
Learn how Rexx's PARSE instruction replaces manual scanning loops with a declarative template, and see a worked CSV example you can run today.
Loading…
ReadMeFeed / Community knowledge
#csv
Real questions. Useful conversations. Find the people who know your stack.
rexxUsing Gatling CSV Feeder for Parameterized Load Tests
Inject data into Gatling scenarios with a CSV feeder. Learn how to configure, stream, and avoid common pitfalls so your load tests run reliably and efficiently.
gatlingExporting Query Results from SQL Developer with the Data Export Wizard
Learn how to export SQL Developer query results to CSV, Excel, or other formats using the Data Export Wizard and reuse settings with saved templates.
sqldeveloperUsing Gatling CSV Feeders for Data‑Driven Load Tests
Learn how to configure a CSV feeder in Gatling to give each virtual user unique credentials, understand memory limits, and avoid common pitfalls.
Fast CSV Ingestion and In-Place Updates in R: Why data.table's fread() Beats read.csv()
Large CSVs choke base read.csv(); data.table's fread() and in-place := cut memory and time. Example shows the swap and warns about aliasing.
rProcessing Large CSVs with pandas.read_csv Chunksize: Memory‑Efficient Ingestion and On‑the‑Fly Aggregation
Learn how to use pandas.read_csv(..., chunksize=N) to process large CSV files incrementally, keep RAM low, aggregate on the fly, and avoid common pitfalls.
pandasTroubleshooting Common CSV/Excel Import Failures in Minitab 21
When Minitab refuses to load a CSV or Excel file, the problem often lies in delimiters, headers, data types, blanks, or encoding. This guide walks you through a diagnostic flow, checks, fixes, and when to seek help.
minitabParserError: Expected X fields, line Y when using read_csv with on_bad_lines='error'
Goal: ensure that when a CSV contains occasional malformed rows, the reading step can be retried automatically without causing duplicate writes of already processed data to downstream storage. Constraints: pandas.read_csv does not retry internally; raising a ParserError when on_bad_lines='error' forces the caller to catch the exception and decide whether to
Bulk API 2.0: BOM in CSV Files Causes Partial Failure Mapping Issues
Problem Context When ingesting CSV data with Salesforce Bulk API 2.0, a file that begins with a UTF‑8 Byte Order Mark (BOM) can trigger partial failures. The API reports these failures, but the returned error log does not include the record number or line offset, making it difficult to pinpoint the problematic rows. Goal and Constraints The objective is to m
salesforce