Skip to main content

sparktool for hccn

Project description

sparktool

built to simplified the process of creating sparksession(hccn).

  • get saved query from hue
  • batch execute sqls
  • parse impala/hive view automatically
  • parse kudu table automatically

install

Python 2/3

  • pip install --user --upgrade sparktool
  • pip2 install --user --upgrade sparktool

functions

switch_keytab (first run)

import sparktool as st
st.switch_keytab('admin@EXAMPLE.COM', keytabpath)

switch_huetab (first run)

import sparktool as st
st.switch_huetab(username, password)

SparkCreator

[in]

import sparktool as st
ss = st.SparkCreator()
sql = '''
select 1;
select
    cc.skp_client
from
    owner_ogg.ft_ccase_2_ccase_ad cc
    join owner_ogg.clt_ccase_2_ccase_relation re
      on cc.skp_ccase_2_ccase_relation = re.skp_ccase_2_ccase_relation
     and re.code_ccase_relation = 'FIRST_POS' 
limit 1
;
'''
ss.batch_excutesql(sql)

[out]

Tranform Table:
+--------------------------------------+--------------------------------------+--------------+
|             Origin Table             |            Temporary View            | If Transform |
+--------------------------------------+--------------------------------------+--------------+
|    OWNER_OGG.FT_CCASE_2_CCASE_AD     |    owner_ogg_ft_ccase_2_ccase_ad     |     New      |
| OWNER_OGG.CLT_CCASE_2_CCASE_RELATION | owner_ogg_clt_ccase_2_ccase_relation |     New      |
+--------------------------------------+--------------------------------------+--------------+
Excute Progress: 2/2
DataFrame[skp_client: decimal(38,0)]

[param]

  • ifview: if view in sql, it will parse view to code
  • ifbatchre: b,c,d,e,f = ss.batch_excutesql(sql, ifview=True, ifbatchre=True)

HueCreator

[in]

from sparktool import HueCreator
aa = HueCreator()
aa.hue_printlist()

[out]

+--------+-------------------------+----------------------------+-------------------+
|   id   |           name          |        description         |   last_modified   |
+--------+-------------------------+----------------------------+-------------------+
| 691124 |     aaaaaaaaaaaaaaa     |                            | 2020-01-17T17:41Z |
| 686849 |           hcp           |                            | 2020-01-17T10:32Z |
| 675390 |           aaaa          |                            | 2020-01-16T11:05Z |
| 681235 |          ttttt          |                            | 2020-01-15T09:41Z |
| 676699 |           aaaa          |                            | 2020-01-14T09:53Z | |
+--------+-------------------------+----------------------------+-------------------+

[in]

aa.hue_getscript('hcp')

[param]

  • ifprint: print sql which is beautified

[in]

aa.hue_setscript(sql, name='hcp', uuid=None)

[param]

  • uuid > name

idea

https://github.com/renyumm/sparktool/blob/master/Sparkcreator.png

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sparktool-3.1.4.tar.gz (10.5 kB view details)

Uploaded Source

File details

Details for the file sparktool-3.1.4.tar.gz.

File metadata

  • Download URL: sparktool-3.1.4.tar.gz
  • Upload date:
  • Size: 10.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4

File hashes

Hashes for sparktool-3.1.4.tar.gz
Algorithm Hash digest
SHA256 ac6b2023ffe4078e42fedfe78b56c322b725bf62984127db0cd42ee8e9d86bc4
MD5 1c532fb02df5e7b0ea6ab7a9ab932c76
BLAKE2b-256 8920e161daf55dba4aea0294c85b96a3aa432e3279f1f8b8d53cbdc4211a9d70

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page