Quickly view your data (qv)

A simply CLI to quickly view your data. Powered by DataFusion.

Example: View data on local filesystem

qv /mnt/datasets/nyc/green_tripdata_2020-07.csv

Example output:

+----------+----------------------+-----------------------+--------------------+------------+--------------+--------------+-----------------+---------------+-------------+-------+---------+------------+--------------+-----------+-----------------------+--------------+--------------+-----------+----------------------+
| VendorID | lpep_pickup_datetime | lpep_dropoff_datetime | store_and_fwd_flag | RatecodeID | PULocationID | DOLocationID | passenger_count | trip_distance | fare_amount | extra | mta_tax | tip_amount | tolls_amount | ehail_fee | improvement_surcharge | total_amount | payment_type | trip_type | congestion_surcharge |
+----------+----------------------+-----------------------+--------------------+------------+--------------+--------------+-----------------+---------------+-------------+-------+---------+------------+--------------+-----------+-----------------------+--------------+--------------+-----------+----------------------+
| 2        | 2020-07-01 00:05:18  | 2020-07-01 00:22:07   | N                  | 1          | 134          | 35           | 2               | 6.38          | 20.5        | 0.5   | 0.5     | 0          | 0            |           | 0.3                   | 21.8         | 2            | 1         | 0                    |
| 2        | 2020-07-01 00:47:06  | 2020-07-01 00:52:13   | N                  | 1          | 41           | 42           | 1               | 1.06          | 6           | 0.5   | 0.5     | 1.46       | 0            |           | 0.3                   | 8.76         | 1            | 1         | 0                    |
| 2        | 2020-07-01 00:24:59  | 2020-07-01 00:35:18   | N                  | 1          | 42           | 159          | 1               | 2.1           | 9           | 0.5   | 0.5     | 0          | 0            |           | 0.3                   | 10.3         | 2            | 1         | 0                    |
| 2        | 2020-07-01 00:55:12  | 2020-07-01 00:58:45   | N                  | 1          | 116          | 116          | 1               | 0.7           | 5           | 0.5   | 0.5     | 0          | 0            |           | 0.3                   | 6.3          | 2            | 1         | 0                    |
| 2        | 2020-07-01 00:12:36  | 2020-07-01 00:20:14   | N                  | 1          | 43           | 141          | 1               | 1.84          | 8           | 0.5   | 0.5     | 0          | 0            |           | 0.3                   | 12.05        | 2            | 1         | 2.75                 |
| 2        | 2020-07-01 00:30:55  | 2020-07-01 00:37:05   | N                  | 5          | 74           | 262          | 1               | 2.04          | 27          | 0     | 0       | 0          | 0            |           | 0.3                   | 30.05        | 2            | 1         | 2.75                 |
| 2        | 2020-07-01 00:13:00  | 2020-07-01 00:19:09   | N                  | 1          | 159          | 119          | 1               | 1.35          | 6.5         | 0.5   | 0.5     | 0          | 0            |           | 0.3                   | 7.8          | 2            | 1         | 0                    |
| 2        | 2020-07-01 00:39:09  | 2020-07-01 00:40:55   | N                  | 1          | 75           | 75           | 1               | 0.35          | -3.5        | -0.5  | -0.5    | 0          | 0            |           | -0.3                  | -4.8         | 4            | 1         | 0                    |
| 2        | 2020-07-01 00:39:09  | 2020-07-01 00:40:55   | N                  | 1          | 75           | 75           | 1               | 0.35          | 3.5         | 0.5   | 0.5     | 0          | 0            |           | 0.3                   | 4.8          | 2            | 1         | 0                    |
| 2        | 2020-07-01 00:45:59  | 2020-07-01 01:01:02   | N                  | 1          | 75           | 87           | 1               | 8.17          | 24          | 0.5   | 0.5     | 4.21       | 0            |           | 0.3                   | 32.26        | 1            | 1         | 2.75                 |
+----------+----------------------+-----------------------+--------------------+------------+--------------+--------------+-----------------+---------------+-------------+-------+---------+------------+--------------+-----------+-----------------------+--------------+--------------+-----------+----------------------+

For more examples consult our Usage examples.

Features

• View file (and directories of files) contents
• Run SQL against files
• View file schemas
• Supported formats:
  • Deltalake
  • Parquet
  • Avro
  • CSV
  • NDJSON
• Supported storage sytems:
  • local file system
  • S3 (+ https links from AWS S3 console)
  • GCS

Installation

Read the Installation instructions.

Development

Read the Development instructions.