SDK for DataChecks
Project description
DCS CLI v0.3.0
SDK for DataChecks
Installation
Python version
>=3.9,<3.12
$ pip install dcs-cli[all-dbs]
Available Commands
Option | Short Option | Required | Default | Description | Example |
---|---|---|---|---|---|
--config-path | -C | Yes | None | Specify the file path for the configuration | dcs_cli run --config-path config.yaml --compare comp_name |
--compare | Yes | None | Run only specific comparison using comparison name | dcs_cli run --config-path config.yaml --compare comp_name | |
--save-json | -j | No | False | Save the data into a JSON file | dcs_cli run --config-path config.yaml --compare comp_name --save-json |
--json-path | -jp | No | dcs_report.json | Specify the file path for JSON file | dcs_cli run --config-path config.yaml --compare comp_name --save-json --json-path ouput.json |
--stats | No | False | Print stats about data diff | dcs_cli run --config-path config.yaml --compare comp_name --stats | |
--url | No | None | Specify url to send data to server | dcs_cli run --config-path config.yaml --compare comp_name --url https://comapre/send/data | |
--html-report | No | False | Save table as HTML | dcs_cli run --config-path config.yaml --compare comp_name --html-report | |
--report-path | No | dcs_report.html | Specify the file path for HTML report | dcs_cli run --config-path config.yaml --compare comp_name --html-report --report-path table.html |
Example Command [CLI]
$ dcs_cli --version
$ dcs_cli --help
$ dcs_cli run -C example.yaml --compare comparison_one --stats -j -jp output.json --html-report --report-path result.html --url https://comapre/send/data
Example Configuration
data_sources:
- name: iris_snowflake
type: snowflake
connection:
account: bp54281.central-india.azure
username: username
password: password
database: TEST_DCS
schema: PUBLIC
warehouse: compute_wh
role: accountadmin
- name: pgsql_1
type: postgres
connection:
host: localhost
port: 5432
username: postgres
password: password
database: dvdrental
- name: pgsql_2
type: postgres
connection:
host: localhost
port: 5432
username: postgres
password: password
database: dvdrental2
- name: pgsql_3
type: postgres
connection:
host: localhost
schema: public
port: 5432
username: postgres
password: password
database: dc
- name: pgsql_4
type: postgres
connection:
host: localhost
schema: test_schema #default schema is public
port: 5432
username: postgres
password: password
database: dc
- name: qk_file1
type: file
file_path: "nk.kyc_data/SOURCE_EMPLOYEE_FILE.csv"
- name: qk_file_raw
type: file
file_path: "nk.kyc_data/RAW_EMPLOYEE.csv"
- name: qk_file1_tl
type: file
file_path: "nk.kyc_data/TL_EMPLOYEE.csv"
comparisons:
# FLATFILE TO SNOWFLAKE
comparison_one:
source:
data_source: qk_file1
table: SOURCE_EMPLOYEE_FILE
target:
data_source: iris_snowflake
table: RAW_EMPLOYEE
key_columns:
- custid
columns:
- FIRSTNAME
- lastname
- designation
- salary
columns_mappings:
- source_column: custid
target_column: CUSTID
- source_column: lastname
target_column: LASTNAME
- source_column: designation
target_column: DESIGNATION
- source_column: salary
target_column: SALARY
# DB TO DB (SNOWFLAKE)
comparison_two:
source:
data_source: iris_snowflake
table: RAW_EMPLOYEE
target:
data_source: iris_snowflake
table: TL_EMPLOYEE
key_columns:
- CUSTID
columns:
- FIRSTNAME
- LASTNAME
- DESIGNATION
- SALARY
# FILE TO FILE
comparison_three:
source:
data_source: qk_file_raw
table: RAW_EMPLOYEE
target:
data_source: qk_file1_tl
table: TL_EMPLOYEE
key_columns:
- custid
columns:
- FIRSTNAME
- lastname
- designation
- salary
columns_mappings:
- source_column: FIRSTNAME
target_column: firstname
# DB TO DB (Postgres)
comparison_four:
source:
data_source: pgsql_1
table: actor
target:
data_source: pgsql_2
table: actor2
key_columns:
- actor_id
columns:
- first_name
- last_name
- last_update
columns_mappings:
- source_column: actor_id
target_column: actor_id1
- source_column: first_name
target_column: first_name1
- source_column: last_name
target_column: last_name1
- source_column: last_update
target_column: last_update1
# DB TO DB (Postgres)
comparison_five:
source:
data_source: pgsql_1
table: actor
target:
data_source: pgsql_2
table: new_table
key_columns:
- actor_id
columns:
- first_name
- last_name
- last_update
# DB TO DB (Postgres)
comparison_six:
source:
data_source: pgsql_3
table: actor
target:
data_source: pgsql_4
table: actor2
key_columns:
- actor_id
columns:
- first_name
- last_name
- last_update
columns_mappings:
- source_column: actor_id
target_column: actor_id1
- source_column: first_name
target_column: first_name1
- source_column: last_name
target_column: last_name1
- source_column: last_update
target_column: last_update1
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