Skip to main content

echoss AI Bigdata Solution - Database Query Package

Project description

echoss_db


MySQL, MongoDB, Opensearch compatible query access package

Version History:

  • 1.1.0 : Add Scroll, Bulk functions in ElasticSearch

Prepare

사용 전 config(인증 정보) 의 유무를 확인한 뒤 사용해야한다. config file example:

mysql:
    user : <user_id>
    passwd : <pass code>
    host : <IP addrress or domain>
    port : :<network port number>
    db : <schema name>
    charset : utf8

mongo:
    host : <IP addrress or domain>
    port :<network port number>
    db : <database name>

elastic:
    user : <user_id>
    passwd : <pass code>
    host : <IP addrress or domain>
    port : :<network port number>
    scheme : <http or https>

Installaion


To install this package, please use Python 3.8 or higher.

    pip install -U echoss-db

Quick Start

Import package and class

    from echoss_db import MysqlQuery, MongoQuery, ElasticSearch

    mysql = MysqlQuery('CONFIG_FILE_PATH' or dict)
    mongo = MongoQuery('CONFIG_FILE_PATH' or dict)
    elastic = ElasticSearch('CONFIG_FILE_PATH' or dict)

MySQL


    # CREATE
    mysql.create('QUERY_STRING')

    # DROP
    mysql.drop('QUERY_STRING')

    # TRUNCATE
    mysql.truncate('QUERY_STRING')

    # ALTER
    mysql.alter('QUERY_STRING')

    # SELECT
    mysql.select('QUERY_STRING', params=None) -> dataframe
    mysql.select_one('QUERY_STRING', params=None) -> dict
    mysql.select_list('QUERY_STRING', params=None) -> list(dict)
    mysql.faster_select('QUERY_STRING', params=None) -> dataframe

    # INSERT without params
    mysql.insert('QUERY_STRING', params=None) -> int
    # INSERT with tuple
    mysql.insert('QUERY_STRING', params) -> int
    # INSERT with list[tuple]
    mysql.insert('QUERY_STRING', params_list) -> int

    # UPDATE
    mysql.update('QUERY_STRING', params=None) -> int

    # DELETE
    mysql.delete('QUERY_STRING', params=None) -> int

    # show Database
    mysql.databases()

    # show Tables
    mysql.tables()

    # Ping
    mysql.ping()

    # get connection cursor
    mysql.conn_cursor(cursorclass=None)

    # Close
    # crash process close
    mysql.close()

    # debug query : default True
    mysql.debug_query(False)

MongoDB


    # show Database
    mongo.databases()

    # show Collections
    mongo.collections()

    # Ping
    mongo.ping()

    # SELECT
    mongo.select('COLLECTION_NAME','QUERY_STRING or DICTIONARY') -> pd.Dataframe

    # INSERT
    mongo.insert('COLLECTION_NAME','QUERY_STRING or DICTIONARY')
    mongo.insert_many('COLLECTION_NAME','QUERY_STRING or DICTIONARY')

    # UPDATE
    mongo.update('COLLECTION_NAME','FILTER_STRING or DICTIONARY', 'UPDATE_STRING or DICTIONARY')
    mongo.update_many('COLLECTION_NAME','FILTER_STRING or DICTIONARY', 'UPDATE_STRING or DICTIONARY')

    # DELETE
    mongo.delete('COLLECTION_NAME','QUERY_STRING or DICTIONARY')
    mongo.delete_many('COLLECTION_NAME','QUERY_STRING or DICTIONARY')

ElasticSearch


    # CREATE
    elastic.index(index='INDEX_NAME')

    # DROP
    elastic.delete_index(index='INDEX_NAME')

    # SELECT
    elastic.search(body=query) -> any
    elastic.search_list(body=query, fetch_all=True) -> list
    elastic.search_dataframe(body=query, fetch_all=True) -> dataframe
    elastic.search_field(field='FIELD_NAME',value='VALUE') -> list

    # INSERT
    elastic.create(id='ID', body='JSON_BODY')

    #UPDATE
    elastic.update(id='ID', body='JSON_BODY')

    #DELETE
    elastic.delete(id='ID')

    # SCROLL
    elastic.prepare_scroll("farmers_index", query={"query": {"match_all": {}}}, source_filters=["name", "code"])
    chunk_list = elastic.next_scroll_chunk()

    # BULK 
    success, error_list = bulk_insert("farm_index", doc_list, id_field="farm_id")
    success, error_list = bulk_upsert("farm_index", doc_list, id_field="farm_id")
    
    # Ping
    elastic.ping()

    # Connection Information
    elastic.info()

Code Quality

When creating new functions, please follow the Google style Python docstrings. See example below:

def example_function(param1: int, param2: str) -> bool:
    """Example function that does something.

    Args:
        param1: The first parameter.
        param2: The second parameter.

    Returns:
        The return value. True for success, False otherwise.

    """

Version history

v0.1.0 initial version v0.1.1 echoss_logger include v0.1.7 mysql support query with params. return cursor.rowcount for insert/update/delete query v1.0.0 mysql support query with list params v1.0.1 elastic search_list fetch_all option, mongo support insert_many, delete_many, update_many method v1.0.2 mysql reuse cursor v1.0.7 echoss-query last version v1.0.8 change package name to echoss-db v1.0.11 update() check 'doc' or 'script' in body

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

echoss_db-1.1.2.tar.gz (16.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

echoss_db-1.1.2-py3-none-any.whl (15.9 kB view details)

Uploaded Python 3

File details

Details for the file echoss_db-1.1.2.tar.gz.

File metadata

  • Download URL: echoss_db-1.1.2.tar.gz
  • Upload date:
  • Size: 16.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.21

File hashes

Hashes for echoss_db-1.1.2.tar.gz
Algorithm Hash digest
SHA256 d59c4960721627fa30b515df9692d3b728ad665d11075caa5ea723d460022700
MD5 ae25adcf2a8483d784eea09ce83ee9d5
BLAKE2b-256 c19f624d2041835e69067e9c0b9b31951305dfb225a4d9fe462907673a176f96

See more details on using hashes here.

File details

Details for the file echoss_db-1.1.2-py3-none-any.whl.

File metadata

  • Download URL: echoss_db-1.1.2-py3-none-any.whl
  • Upload date:
  • Size: 15.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.21

File hashes

Hashes for echoss_db-1.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 fcefe245584145a42b1f6c0402334a60694d40dc6afc57e1677875808a3e62dd
MD5 6593bb58208e6e3579ded3d3d3cfc34e
BLAKE2b-256 7ebdae00078319027dc3ce816e6883ada3715641df512135925ec4f01bc4b5d6

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