Tejadogiparthi

╔═══════════════════════════════════════════════╦════════════════════════╗
║ Method                                        ║ Parameter              ║
╠═══════════════════════════════════════════════╬════════════════════════╗
║ MetaStoreEventListener.onConfigChange         ║ ConfigChangeEvent      ║
║ MetaStoreEventListener.onCreateTable          ║ CreateTableEvent       ║
║ MetaStoreEventListener.onDropTable            ║ DropTableEvent         ║
║ MetaStoreEventListener.onAlterTable           ║ AlterTableEvent        ║
║ MetaStoreEventListener.onAddPartition         ║ AddPartitionEvent      ║
║ MetaStoreEventListener.onDropPartition        ║ DropPartitionEvent     ║
║ MetaStoreEventListener.onAlterPartition       ║ AlterPartitionEvent    ║

Tejadogiparthi

╔═══════════════════════════════════════╦═══════════════════════════════════════════════════════════════╗
║ Property                              ║ Abstract class                                                ║
╠═══════════════════════════════════════╬═══════════════════════════════════════════════════════════════╗
║ hive.metastore.pre.event.listeners    ║ org.apache.hadoop.hive.metastore.MetaStorePreEventListener    ║
║ hive.metastore.end.function.listeners ║ org.apache.hadoop.hive.metastore.MetaStoreEndFunctionListener ║
║ hive.metastore.event.listeners        ║ org.apache.hadoop.hive.metastore.MetaStoreEventListener       ║
╚═══════════════════════════════════════╩═══════════════════════════════════════════════════════════════╝

Tejadogiparthi

#! /usr/bin/env python
"""Find the maximum recursion limit that prevents interpreter termination.

This script finds the maximum safe recursion limit on a particular
platform.  If you need to change the recursion limit on your system,
this script will tell you a safe upper bound.  To use the new limit,
call sys.setrecursionlimit().

This module implements several ways to create infinite recursion in
Python.  Different implementations end up pushing different numbers of

Tejadogiparthi

We subscribe to the Git Featrue Branch workflow, briefly described in that link.

In practice, it works as follows:

FEATURE DEVELOPMENT

Steps to Follow:

1. Start with an updated local development branch -- by checking out the dev branch and pulling changes:
   git checkout development
git pull origin development

Tejadogiparthi

# Copyright (C) 2016 Martina Pugliese

from boto3 import resource
from boto3.dynamodb.conditions import Key

# The boto3 dynamoDB resource
dynamodb_resource = resource('dynamodb')


def get_table_metadata(table_name):

Tejadogiparthi

Studying for a Tech Interview Sucks, so Here's a Cheat Sheet to Help

This list is meant to be a both a quick guide and reference for further research into these topics. It's basically a summary of that comp sci course you never took or forgot about, so there's no way it can cover everything in depth. It also will be available as a gist on Github for everyone to edit and add to.

Data Structure Basics

###Array ####Definition:

• Stores data elements based on an sequential, most commonly 0 based, index.
• Based on tuples from set theory.

Tejadogiparthi

def setup_logging():
    logger = logging.getLogger()
    for h in logger.handlers:
        logger.removeHandler(h)

    h = logging.StreamHandler(sys.stdout)
    logformat = '%(asctime)s - %(name)s - %(levelname)s - %(message)s'
    h.setFormatter(logging.Formatter(logformat))
    logger.addHandler(h)
    logger.setLevel(logging.INFO)

Tejadogiparthi

# Python logger in AWS Lambda has a preset format. To change the format of the logging statement, 
# remove the logging handler & add a new handler with the required format

import logging
import sys

def setup_logging():
    logger = logging.getLogger()
    for h in logger.handlers:
      logger.removeHandler(h)

Tejadogiparthi

# Python logger in AWS Lambda has a preset format. To change the format of the logging statement, 
# remove the logging handler & add a new handler with the required format

import logging
import sys

def setup_logging():
    logger = logging.getLogger()
    for h in logger.handlers:
      logger.removeHandler(h)