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Inspecter le parquet depuis la ligne de commande

Comment inspecter le contenu d'un fichier Parquet à partir de la ligne de commande?

La seule option que je vois maintenant est

$ hadoop fs -get my-path local-file
$ parquet-tools head local-file | less

J'aimerais 

  1. éviter de créer le local-file et 
  2. affichez le contenu du fichier sous la forme json plutôt que le texte sans type imprimé par parquet-tools.

Y a-t-il un moyen facile?

parquet
16
sds

Je recommande simplement de construire et d’exécuter le parquet-tools.jar pour votre distribution Hadoop. 

Commander le projet github: https://github.com/Apache/parquet-mr/tree/master/parquet-tools

hadoop jar ./parquet-tools-<VERSION>.jar <command>. 

8
fembot

Vous pouvez utiliser parquet-tools avec la commande cat et l'option --json afin d'afficher les fichiers sans copie locale et au format JSON.

Voici un exemple:

parquet-tools cat --json hdfs://localhost/tmp/save/part-r-00000-6a3ccfae-5eb9-4a88-8ce8-b11b2644d5de.gz.parquet

Ceci affiche les données au format JSON:

{"name":"gil","age":48,"city":"london"}
{"name":"jane","age":30,"city":"new york"}
{"name":"jordan","age":18,"city":"toronto"}

Avertissement: ceci a été testé dans Cloudera CDH 5.12.0

14
gil.fernandes

Par défaut, parquet-tools en général recherchera le répertoire de fichiers local, donc pour le pointer sur hdfs, nous devons ajouter hdfs: // au début du chemin du fichier. Donc, dans votre cas, vous pouvez faire quelque chose comme ça

parquet-tools head hdfs://localhost/<hdfs-path> | less

J'ai eu le même problème et cela a bien fonctionné pour moi. Il n'est pas nécessaire de télécharger le fichier localement d'abord.

5
salmanbw

Je suis sur 5.11 et vois qu'il y a des outils de parquet, mais je soupçonne que l'outil fonctionne: J'ai un fichier de parquet comme ci-dessous:

-rwxrwx--x+  3 Hive hive       1096 2018-08-20 12:51 /user/Hive/warehouse/pnc_loans_v2/loans_customer_merge_v3_rxie_test/loans_customer_merge_v3_rxie_test180820/part-r-00000-05844bcb-ee00-473a-8eff-ad6a217b4d4c.snappy.parquet

J'utilise l'outil ci-dessous pour savoir si le parquet contient quelque chose ou rien:

 parquet-tools cat --json /user/Hive/warehouse/pnc_loans_v2/loans_customer_merge_v3_rxie_test/loans_customer_merge_v3_rxie_test180820/part-r-00000-05844bcb-ee00-473a-8eff-ad6a217b4d4c.snappy.parquet
File /user/Hive/warehouse/pnc_loans_v2/loans_customer_merge_v3_rxie_test/loans_customer_merge_v3_rxie_test180820/part-r-00000-05844bcb-ee00-473a-8eff-ad6a217b4d4c.snappy.parquet does not exist

Regardez le résultat, il est écrit que le parquet n’existe pas

1
Choix

Installez homebrew sur votre Mac (voir https://brew.sh/ ) et ensuite:

brew install parquet-tools

Une fois que vous avez fait cela, vous pouvez utiliser le binaire parquet-tools (qui devrait maintenant être dans votre chemin) sur votre ligne de commande pour diverses commandes.

parquet-tools ou parquet-tools -h vous donnera des informations d'utilisation.

Exemples:

> 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
0
Matthew Ropp

Je préférerais utiliser hdfs NFS Gateway + autofs pour une investigation facile des fichiers hdfs.

Ma configuration:

  • Service HDFS NFS Gateway s'exécutant sur le nom de code.
  • distribution autofs groupé service sur. avec le changement de configuration suivant fait à auto.master
/net    -hosts nobind

Je peux facilement exécuter la commande suivante pour examiner n'importe quel fichier hdfs

head /net/<namenodeIP>/path/to/hdfs/file
parquet-tools head /net/<namenodeIP>/path/to/hdfs/par-file
rsync -rv /local/directory/ /net/<namenodeIP>/path/to/hdfs/parentdir/

oubliez la commande hadoop * hdfs *;)

0
Kai