databricks/spark-csv
CSV Data Source for Apache Spark 1.x observed · 2026-08-28
Health v2 · maintenance only
10/100
- Activity 0
- Release rhythm 8
- Longevity 100
Flags: archived
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4292
- days_rel: n/a
- days_push: 2820
- n_releases_24m: 0
Adoption not part of the score
1057 stars · 435 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Scala library providing a CSV data source for Apache Spark 1.x, allowing CSV files to be read and queried as Spark SQL DataFrames with configurable parsing options. Its functionality has been inlined into Apache Spark 2.x, so the package is in maintenance mode accepting only critical bug fixes.
Use cases
- parse csv files as spark dataframes
- query csv data with spark sql
- load csv with custom delimiter and quote characters
- infer column types from csv files
- handle malformed csv rows with permissive or failfast parsing
- read csv files from hdfs or s3 in spark
When to choose
- you are stuck on Apache Spark 1.x and need CSV support
When to avoid
- you use Spark 2.x or later, where CSV support is built in
- you need active development or new features
Facets
library · maturity maintenance
parser serialization database big-data files developer-tools jvm cross-platform csv spark spark-sql dataframes apache-spark deprecated scala-library data-engineering
2 sources
- readme: https://github.com/databricks/spark-csv · fetched 2026-08-28 · 786b048b6203
- homepage: http://databricks.com/ · fetched 2026-08-29 · cb7b033b67a1
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| databricks/spark-csv | main | 10 |
For agents
markdown · JSON · MCP: product_card(name="databricks/spark-csv")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem