Inspect Parquet from command line
Install homebrew on your Mac (see https://brew.sh/) and then just:
brew install parquet-tools
Once you have done that you can user parquet-tools binary (which should now be in your path) at your command line for various commands.
parquet-tools or parquet-tools -h will give you usage info.
Examples:
> parquet-tools rowcount part-00000-fc34f237-c985-4ebc-822b-87fa446f6f70.c000.snappy.parquet
Total RowCount: 148192
> parquet-tools head -n 1 part-00000-fc34f237-c985-4ebc-822b-87fa446f6f70.c000.snappy.parquet
:created_at = 2019-02-28T00:16:06.329Z
:id = row-wive~i58u-qaeu
:updated_at = 2019-02-28T00:16:06.329Z
agency = 1
body_style = PA
color = GY
fine_amount = 63
issue_date = 17932
issue_time = 1950
latitude = 64379050
location = 12743 DAVENTRY
longitude = 19261609
make = HYDA
marked_time =
meter_id =
plate_expiry_date = 18048
route = 16X2
rp_state_plate = CA
ticket_number = 1020798376
vin =
violation_code = 22502A#
violation_description = 18 IN. CURB/2 WAY
> parquet-tools meta part-00000-fc34f237-c985-4ebc-822b-87fa446f6f70.c000.snappy.parquet
file: file:/Users/matthewropp/team_demo/los-angeles-parking-citations/raw_citations/issue_month=201902/part-00000-fc34f237-c985-4ebc-822b-87fa446f6f70.c000.snappy.parquet
creator: parquet-mr version 1.10.0 (build 031a6654009e3b82020012a18434c582bd74c73a)
extra: org.apache.spark.sql.parquet.row.metadata = {"type":"struct","fields":[{"name":":created_at","type":"string","nullable":true,"metadata":{}},{"name":":id","type":"string","nullable":true,"metadata":{}},{"name":":updated_at","type":"string","nullable":true,"metadata":{}},{"name":"agency","type":"integer","nullable":true,"metadata":{}},{"name":"body_style","type":"string","nullable":true,"metadata":{}},{"name":"color","type":"string","nullable":true,"metadata":{}},{"name":"fine_amount","type":"integer","nullable":true,"metadata":{}},{"name":"issue_date","type":"date","nullable":true,"metadata":{}},{"name":"issue_time","type":"integer","nullable":true,"metadata":{}},{"name":"latitude","type":"decimal(8,1)","nullable":true,"metadata":{}},{"name":"location","type":"string","nullable":true,"metadata":{}},{"name":"longitude","type":"decimal(8,1)","nullable":true,"metadata":{}},{"name":"make","type":"string","nullable":true,"metadata":{}},{"name":"marked_time","type":"string","nullable":true,"metadata":{}},{"name":"meter_id","type":"string","nullable":true,"metadata":{}},{"name":"plate_expiry_date","type":"date","nullable":true,"metadata":{}},{"name":"route","type":"string","nullable":true,"metadata":{}},{"name":"rp_state_plate","type":"string","nullable":true,"metadata":{}},{"name":"ticket_number","type":"string","nullable":false,"metadata":{}},{"name":"vin","type":"string","nullable":true,"metadata":{}},{"name":"violation_code","type":"string","nullable":true,"metadata":{}},{"name":"violation_description","type":"string","nullable":true,"metadata":{}}]}
file schema: spark_schema
--------------------------------------------------------------------------------
: created_at: OPTIONAL BINARY O:UTF8 R:0 D:1
: id: OPTIONAL BINARY O:UTF8 R:0 D:1
: updated_at: OPTIONAL BINARY O:UTF8 R:0 D:1
agency: OPTIONAL INT32 R:0 D:1
body_style: OPTIONAL BINARY O:UTF8 R:0 D:1
color: OPTIONAL BINARY O:UTF8 R:0 D:1
fine_amount: OPTIONAL INT32 R:0 D:1
issue_date: OPTIONAL INT32 O:DATE R:0 D:1
issue_time: OPTIONAL INT32 R:0 D:1
latitude: OPTIONAL INT32 O:DECIMAL R:0 D:1
location: OPTIONAL BINARY O:UTF8 R:0 D:1
longitude: OPTIONAL INT32 O:DECIMAL R:0 D:1
make: OPTIONAL BINARY O:UTF8 R:0 D:1
marked_time: OPTIONAL BINARY O:UTF8 R:0 D:1
meter_id: OPTIONAL BINARY O:UTF8 R:0 D:1
plate_expiry_date: OPTIONAL INT32 O:DATE R:0 D:1
route: OPTIONAL BINARY O:UTF8 R:0 D:1
rp_state_plate: OPTIONAL BINARY O:UTF8 R:0 D:1
ticket_number: REQUIRED BINARY O:UTF8 R:0 D:0
vin: OPTIONAL BINARY O:UTF8 R:0 D:1
violation_code: OPTIONAL BINARY O:UTF8 R:0 D:1
violation_description: OPTIONAL BINARY O:UTF8 R:0 D:1
row group 1: RC:148192 TS:10503944 OFFSET:4
--------------------------------------------------------------------------------
: created_at: BINARY SNAPPY DO:0 FPO:4 SZ:607/616/1.01 VC:148192 ENC:BIT_PACKED,PLAIN_DICTIONARY,RLE ST:[min: 2019-02-28T00:16:06.329Z, max: 2019-03-02T00:20:00.249Z, num_nulls: 0]
: id: BINARY SNAPPY DO:0 FPO:611 SZ:2365472/3260525/1.38 VC:148192 ENC:BIT_PACKED,PLAIN,RLE ST:[min: row-2229_y75z.ftdu, max: row-zzzs_4hta.8fub, num_nulls: 0]
: updated_at: BINARY SNAPPY DO:0 FPO:2366083 SZ:602/611/1.01 VC:148192 ENC:BIT_PACKED,PLAIN_DICTIONARY,RLE ST:[min: 2019-02-28T00:16:06.329Z, max: 2019-03-02T00:20:00.249Z, num_nulls: 0]
agency: INT32 SNAPPY DO:0 FPO:2366685 SZ:4871/5267/1.08 VC:148192 ENC:BIT_PACKED,PLAIN_DICTIONARY,RLE ST:[min: 1, max: 58, num_nulls: 0]
body_style: BINARY SNAPPY DO:0 FPO:2371556 SZ:36244/61827/1.71 VC:148192 ENC:BIT_PACKED,PLAIN_DICTIONARY,RLE ST:[min: , max: WR, num_nulls: 0]
color: BINARY SNAPPY DO:0 FPO:2407800 SZ:111267/111708/1.00 VC:148192 ENC:BIT_PACKED,PLAIN_DICTIONARY,RLE ST:[min: , max: YL, num_nulls: 0]
fine_amount: INT32 SNAPPY DO:0 FPO:2519067 SZ:71989/82138/1.14 VC:148192 ENC:BIT_PACKED,PLAIN_DICTIONARY,RLE ST:[min: 25, max: 363, num_nulls: 63]
issue_date: INT32 SNAPPY DO:0 FPO:2591056 SZ:20872/23185/1.11 VC:148192 ENC:BIT_PACKED,PLAIN_DICTIONARY,RLE ST:[min: 2019-02-01, max: 2019-02-27, num_nulls: 0]
issue_time: INT32 SNAPPY DO:0 FPO:2611928 SZ:210026/210013/1.00 VC:148192 ENC:BIT_PACKED,PLAIN_DICTIONARY,RLE ST:[min: 1, max: 2359, num_nulls: 41]
latitude: INT32 SNAPPY DO:0 FPO:2821954 SZ:508049/512228/1.01 VC:148192 ENC:BIT_PACKED,PLAIN_DICTIONARY,RLE ST:[min: 99999.0, max: 6513161.2, num_nulls: 0]
location: BINARY SNAPPY DO:0 FPO:3330003 SZ:1251364/2693435/2.15 VC:148192 ENC:BIT_PACKED,PLAIN_DICTIONARY,PLAIN,RLE ST:[min: , max: ZOMBAR/VALERIO, num_nulls: 0]
longitude: INT32 SNAPPY DO:0 FPO:4581367 SZ:516233/520692/1.01 VC:148192 ENC:BIT_PACKED,PLAIN_DICTIONARY,RLE ST:[min: 99999.0, max: 1941557.4, num_nulls: 0]
make: BINARY SNAPPY DO:0 FPO:5097600 SZ:147034/150364/1.02 VC:148192 ENC:BIT_PACKED,PLAIN_DICTIONARY,RLE ST:[min: , max: YAMA, num_nulls: 0]
marked_time: BINARY SNAPPY DO:0 FPO:5244634 SZ:11675/17658/1.51 VC:148192 ENC:BIT_PACKED,PLAIN_DICTIONARY,RLE ST:[min: , max: 959.0, num_nulls: 0]
meter_id: BINARY SNAPPY DO:0 FPO:5256309 SZ:172432/256692/1.49 VC:148192 ENC:BIT_PACKED,PLAIN_DICTIONARY,RLE ST:[min: , max: YO97, num_nulls: 0]
plate_expiry_date: INT32 SNAPPY DO:0 FPO:5428741 SZ:149849/152288/1.02 VC:148192 ENC:BIT_PACKED,PLAIN_DICTIONARY,RLE ST:[min: 2000-02-01, max: 2099-12-01, num_nulls: 18624]
route: BINARY SNAPPY DO:0 FPO:5578590 SZ:38377/45948/1.20 VC:148192 ENC:BIT_PACKED,PLAIN_DICTIONARY,RLE ST:[min: , max: WTD, num_nulls: 0]
rp_state_plate: BINARY SNAPPY DO:0 FPO:5616967 SZ:33281/60186/1.81 VC:148192 ENC:BIT_PACKED,PLAIN_DICTIONARY,RLE ST:[min: AB, max: XX, num_nulls: 0]
ticket_number: BINARY SNAPPY DO:0 FPO:5650248 SZ:801039/2074791/2.59 VC:148192 ENC:BIT_PACKED,PLAIN ST:[min: 1020798376, max: 4350802142, num_nulls: 0]
vin: BINARY SNAPPY DO:0 FPO:6451287 SZ:64/60/0.94 VC:148192 ENC:BIT_PACKED,PLAIN_DICTIONARY,RLE ST:[min: , max: , num_nulls: 0]
violation_code: BINARY SNAPPY DO:0 FPO:6451351 SZ:94784/131071/1.38 VC:148192 ENC:BIT_PACKED,PLAIN_DICTIONARY,RLE ST:[min: 000, max: 8942, num_nulls: 0]
violation_description: BINARY SNAPPY DO:0 FPO:6546135 SZ:95937/132641/1.38 VC:148192 ENC:BIT_PACKED,PLAIN_DICTIONARY,RLE ST:[min: , max: YELLOW ZONE, num_nulls: 0]
> parquet-tools dump -m -c make part-00000-fc34f237-c985-4ebc-822b-87fa446f6f70.c000.snappy.parquet | head -20
BINARY make
--------------------------------------------------------------------------------
*** row group 1 of 1, values 1 to 148192 ***
value 1: R:0 D:1 V:HYDA
value 2: R:0 D:1 V:NISS
value 3: R:0 D:1 V:NISS
value 4: R:0 D:1 V:TOYO
value 5: R:0 D:1 V:AUDI
value 6: R:0 D:1 V:MERC
value 7: R:0 D:1 V:LEX
value 8: R:0 D:1 V:BMW
value 9: R:0 D:1 V:GMC
value 10: R:0 D:1 V:HOND
value 11: R:0 D:1 V:TOYO
value 12: R:0 D:1 V:NISS
value 13: R:0 D:1 V:
value 14: R:0 D:1 V:THOR
value 15: R:0 D:1 V:DODG
value 16: R:0 D:1 V:DODG
value 17: R:0 D:1 V:HOND
You can use parquet-tools with the command cat and the --json option in order to view the files without a local copy and in the JSON format.
Here is an example:
parquet-tools cat --json hdfs://localhost/tmp/save/part-r-00000-6a3ccfae-5eb9-4a88-8ce8-b11b2644d5de.gz.parquet
This prints out the data in JSON format:
{"name":"gil","age":48,"city":"london"}
{"name":"jane","age":30,"city":"new york"}
{"name":"jordan","age":18,"city":"toronto"}
Disclaimer: this was tested in Cloudera CDH 5.12.0