Crates.io | pqrs |
lib.rs | pqrs |
version | 0.3.2 |
source | src |
created_at | 2021-06-21 07:29:18.025322 |
updated_at | 2024-06-14 01:15:55.911448 |
description | Apache Parquet command-line tools and utilities |
homepage | https://github.com/manojkarthick/pqrs |
repository | https://github.com/manojkarthick/pqrs |
max_upload_size | |
id | 412782 |
size | 154,135 |
pqrs
is a command line tool for inspecting Parquet filespqrs
roughly means "parquet-tools in rust"You can download release binaries here
For macOS users, pqrs
is available as a homebrew tap.
brew install manojkarthick/tap/pqrs
NOTE: For users upgrading from v0.2 or prior, note that the location of the pqrs
homebrew tap has been updated.
To update to v0.2.1+, please uninstall using brew uninstall pqrs
and use the above command to re-install.
pqrs
is also available for installation from crates.io using cargo
, the rust package manager.
cargo install pqrs
Make sure you have rustc
and cargo
installed on your machine.
git clone https://github.com/manojkarthick/pqrs.git
cargo build --release
./target/release/pqrs
The below snippet shows the available subcommands:
❯ pqrs --help
pqrs 0.2.1
Manoj Karthick
Apache Parquet command-line utility
USAGE:
pqrs [FLAGS] [SUBCOMMAND]
FLAGS:
-d, --debug Show debug output
-h, --help Prints help information
-V, --version Prints version information
SUBCOMMANDS:
cat Prints the contents of Parquet file(s)
head Prints the first n records of the Parquet file
help Prints this message or the help of the given subcommand(s)
merge Merge file(s) into another parquet file
rowcount Prints the count of rows in Parquet file(s)
sample Prints a random sample of records from the Parquet file
schema Prints the schema of Parquet file(s)
size Prints the size of Parquet file(s)
Prints the contents of the given files and folders. Recursively traverses and prints all the files if the input is a directory.
Supports json-like, json or CSV format. Use --json
for JSON output, --csv
for CSV output with column names in the first row, and --csv-data-only
for CSV output without the column names row.
❯ pqrs cat data/cities.parquet
{continent: "Europe", country: {name: "France", city: ["Paris", "Nice", "Marseilles", "Cannes"]}}
{continent: "Europe", country: {name: "Greece", city: ["Athens", "Piraeus", "Hania", "Heraklion", "Rethymnon", "Fira"]}}
{continent: "North America", country: {name: "Canada", city: ["Toronto", "Vancouver", "St. John's", "Saint John", "Montreal", "Halifax", "Winnipeg", "Calgary", "Saskatoon", "Ottawa", "Yellowknife"]}}
❯ pqrs cat data/cities.parquet --json
{"continent":"Europe","country":{"name":"France","city":["Paris","Nice","Marseilles","Cannes"]}}
{"continent":"Europe","country":{"name":"Greece","city":["Athens","Piraeus","Hania","Heraklion","Rethymnon","Fira"]}}
{"continent":"North America","country":{"name":"Canada","city":["Toronto","Vancouver","St. John's","Saint John","Montreal","Halifax","Winnipeg","Calgary","Saskatoon","Ottawa","Yellowknife"]}}
❯ pqrs cat data/simple.parquet --csv
foo,bar
1,2
10,20
❯ pqrs cat data/simple.parquet --csv --no-header
1,2
10,20
NOTE: CSV format is not supported for files that contain Struct or Byte fields.
Prints the first N records of the parquet file. Use --records
flag to set the number of records.
❯ pqrs head data/cities.parquet --json --records 2
{"continent":"Europe","country":{"name":"France","city":["Paris","Nice","Marseilles","Cannes"]}}
{"continent":"Europe","country":{"name":"Greece","city":["Athens","Piraeus","Hania","Heraklion","Rethymnon","Fira"]}}
Merge two Parquet files by placing row groups (or blocks) from the two files one after the other.
Disclaimer: This does not combine the files to have optimized row groups, do not use it in production!
❯ pqrs merge --input data/pems-1.snappy.parquet data/pems-2.snappy.parquet --output data/pems-merged.snappy.parquet
❯ ls -al data
total 408
drwxr-xr-x 6 manojkarthick staff 192 Feb 14 08:53 .
drwxr-xr-x 20 manojkarthick staff 640 Feb 14 08:52 ..
-rw-r--r-- 1 manojkarthick staff 866 Feb 8 19:50 cities.parquet
-rw-r--r-- 1 manojkarthick staff 16468 Feb 8 19:50 pems-1.snappy.parquet
-rw-r--r-- 1 manojkarthick staff 17342 Feb 8 19:50 pems-2.snappy.parquet
-rw-r--r-- 1 manojkarthick staff 160950 Feb 14 08:53 pems-merged.snappy.parquet
Print the number of rows present in the parquet file.
❯ pqrs row-count data/pems-1.snappy.parquet data/pems-2.snappy.parquet
File Name: data/pems-1.snappy.parquet: 2693 rows
File Name: data/pems-2.snappy.parquet: 2880 rows
Prints a random sample of records from the given parquet file.
❯ pqrs sample data/pems-1.snappy.parquet --records 3
{timeperiod: "01/17/2016 07:01:27", flow1: 0, occupancy1: 0E0, speed1: 0E0, flow2: 0, occupancy2: 0E0, speed2: 0E0, flow3: 0, occupancy3: 0E0, speed3: 0E0, flow4: null, occupancy4: null, speed4: null, flow5: null, occupancy5: null, speed5: null, flow6: null, occupancy6: null, speed6: null, flow7: null, occupancy7: null, speed7: null, flow8: null, occupancy8: null, speed8: null}
{timeperiod: "01/17/2016 07:47:27", flow1: 0, occupancy1: 0E0, speed1: 0E0, flow2: 0, occupancy2: 0E0, speed2: 0E0, flow3: 0, occupancy3: 0E0, speed3: 0E0, flow4: null, occupancy4: null, speed4: null, flow5: null, occupancy5: null, speed5: null, flow6: null, occupancy6: null, speed6: null, flow7: null, occupancy7: null, speed7: null, flow8: null, occupancy8: null, speed8: null}
{timeperiod: "01/17/2016 09:44:27", flow1: 0, occupancy1: 0E0, speed1: 0E0, flow2: 0, occupancy2: 0E0, speed2: 0E0, flow3: 0, occupancy3: 0E0, speed3: 0E0, flow4: null, occupancy4: null, speed4: null, flow5: null, occupancy5: null, speed5: null, flow6: null, occupancy6: null, speed6: null, flow7: null, occupancy7: null, speed7: null, flow8: null, occupancy8: null, speed8: null}
Print the schema from the given parquet file. Use the --detailed
flag to get more detailed stats.
❯ pqrs schema data/cities.parquet
Metadata for file: data/cities.parquet
version: 1
num of rows: 3
created by: parquet-mr version 1.5.0-cdh5.7.0 (build ${buildNumber})
message hive_schema {
OPTIONAL BYTE_ARRAY continent (UTF8);
OPTIONAL group country {
OPTIONAL BYTE_ARRAY name (UTF8);
OPTIONAL group city (LIST) {
REPEATED group bag {
OPTIONAL BYTE_ARRAY array_element (UTF8);
}
}
}
}
❯ pqrs schema data/cities.parquet --detailed
num of row groups: 1
row groups:
row group 0:
--------------------------------------------------------------------------------
total byte size: 466
num of rows: 3
num of columns: 3
columns:
column 0:
--------------------------------------------------------------------------------
column type: BYTE_ARRAY
column path: "continent"
encodings: BIT_PACKED PLAIN_DICTIONARY RLE
file path: N/A
file offset: 4
num of values: 3
total compressed size (in bytes): 93
total uncompressed size (in bytes): 93
data page offset: 4
index page offset: N/A
dictionary page offset: N/A
statistics: {min: [69, 117, 114, 111, 112, 101], max: [78, 111, 114, 116, 104, 32, 65, 109, 101, 114, 105, 99, 97], distinct_count: N/A, null_count: 0, min_max_deprecated: true}
<....output clipped>
❯ pqrs schema --json data/cities.parquet
{"version":1,"num_rows":3,"created_by":"parquet-mr version 1.5.0-cdh5.7.0 (build ${buildNumber})","metadata":null,"columns":[{"optional":"true","physical_type":"BYTE_ARRAY","name":"continent","path":"continent","converted_type":"UTF8"},{"name":"name","converted_type":"UTF8","path":"country.name","physical_type":"BYTE_ARRAY","optional":"true"},{"optional":"true","name":"array_element","physical_type":"BYTE_ARRAY","path":"country.city.bag.array_element","converted_type":"UTF8"}],"message":"message hive_schema {\n OPTIONAL BYTE_ARRAY continent (UTF8);\n OPTIONAL group country {\n OPTIONAL BYTE_ARRAY name (UTF8);\n OPTIONAL group city (LIST) {\n REPEATED group bag {\n OPTIONAL BYTE_ARRAY array_element (UTF8);\n }\n }\n }\n}\n"}
Print the compressed/uncompressed size of the parquet file. Shows uncompressed size by default
❯ pqrs size data/pems-1.snappy.parquet --pretty
Size in Bytes:
File Name: data/pems-1.snappy.parquet
Uncompressed Size: 61 KiB
❯ pqrs size data/pems-1.snappy.parquet --pretty --compressed
Size in Bytes:
File Name: data/pems-1.snappy.parquet
Compressed Size: 12 KiB