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.circleci/config.yml

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#
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# vim:ts=2:sts=2:sw=2:et
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#
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# https://github.com/harisekhon/sql-scripts
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# https://github.com/HariSekhon/SQL-scripts
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#
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# License: see accompanying Hari Sekhon LICENSE file
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#
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# If you're using my code you're welcome to connect with me on LinkedIn and optionally send me feedback to help steer this or other code I publish
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#
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# https://www.linkedin.com/in/harisekhon
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# https://www.linkedin.com/in/HariSekhon
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#
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# https://circleci.com/docs/2.0/configuration-reference

.editorconfig

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# Author: Hari Sekhon
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# Date: 2015-10-31 19:04:34 +0000 (Sat, 31 Oct 2015)
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#
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# https://github.com/harisekhon/sql-scripts
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# https://github.com/HariSekhon/SQL-scripts
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#
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# License: see accompanying Hari Sekhon LICENSE file
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#

Makefile

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#
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# If you're using my code you're welcome to connect with me on LinkedIn and optionally send me feedback
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#
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# https://www.linkedin.com/in/harisekhon
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# https://www.linkedin.com/in/HariSekhon
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# On Ubuntu this fails to pushd otherwise

README.md

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[git.io/SQL](https://git.io/SQL)
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Useful SQL scripts, split from [DevOps Bash tools](https://github.com/harisekhon/devops-bash-tools), for which this is now a submodule.
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Useful SQL scripts, split from [DevOps Bash tools](https://github.com/HariSekhon/DevOps-Bash-tools), for which this is now a submodule.
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Hari Sekhon
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Cloud & Big Data Contractor, United Kingdom
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[![My LinkedIn](https://img.shields.io/badge/LinkedIn%20Profile-HariSekhon-blue?logo=linkedin)](https://www.linkedin.com/in/harisekhon/)
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[![My LinkedIn](https://img.shields.io/badge/LinkedIn%20Profile-HariSekhon-blue?logo=linkedin)](https://www.linkedin.com/in/HariSekhon/)
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###### (you're welcome to connect with me on LinkedIn)
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### Inventory
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#### DevOps SQL tooling
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You can quickly test the PostgreSQL / MySQL scripts using `postgres.sh` / `mysqld.sh` / `mariadb.sh` in the [DevOps Bash tools](https://github.com/harisekhon/devops-bash-tools) repo, which boots a docker container and drops straight in to a `mysql` / `psql` shell with this directory mounted at `/sql` and used as `$PWD` for fast easy sourcing eg.
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You can quickly test the PostgreSQL / MySQL scripts using `postgres.sh` / `mysqld.sh` / `mariadb.sh` in the [DevOps Bash tools](https://github.com/HariSekhon/DevOps-Bash-tools) repo, which boots a docker container and drops straight in to a `mysql` / `psql` shell with this directory mounted at `/sql` and used as `$PWD` for fast easy sourcing eg.
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postgres:
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```
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### See Also
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- [DevOps Bash Tools](https://github.com/harisekhon/devops-bash-tools) - 700+ DevOps Bash Scripts, Advanced `.bashrc`, `.vimrc`, `.screenrc`, `.tmux.conf`, `.gitconfig`, CI configs & Utility Code Library - AWS, GCP, Kubernetes, Docker, Kafka, Hadoop, SQL, BigQuery, Hive, Impala, PostgreSQL, MySQL, LDAP, DockerHub, Jenkins, Spotify API & MP3 tools, Git tricks, GitHub API, GitLab API, BitBucket API, Code & build linting, package management for Linux / Mac / Python / Perl / Ruby / NodeJS / Golang, and lots more random goodies
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- [DevOps Bash Tools](https://github.com/HariSekhon/DevOps-Bash-tools) - 700+ DevOps Bash Scripts, Advanced `.bashrc`, `.vimrc`, `.screenrc`, `.tmux.conf`, `.gitconfig`, CI configs & Utility Code Library - AWS, GCP, Kubernetes, Docker, Kafka, Hadoop, SQL, BigQuery, Hive, Impala, PostgreSQL, MySQL, LDAP, DockerHub, Jenkins, Spotify API & MP3 tools, Git tricks, GitHub API, GitLab API, BitBucket API, Code & build linting, package management for Linux / Mac / Python / Perl / Ruby / NodeJS / Golang, and lots more random goodies
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- [Templates](https://github.com/HariSekhon/Templates) - dozens of Code & Config templates - AWS, GCP, Docker, Jenkins, Terraform, Vagrant, Puppet, Python, Bash, Go, Perl, Java, Scala, Groovy, Maven, SBT, Gradle, Make, GitHub Actions Workflows, CircleCI, Jenkinsfile, Makefile, Dockerfile, docker-compose.yml, M4 etc.
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- [Kubernetes configs](https://github.com/HariSekhon/Kubernetes-configs) - Kubernetes YAML configs - Best Practices, Tips & Tricks are baked right into the templates for future deployments
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- [DevOps Python Tools](https://github.com/harisekhon/devops-python-tools) - 80+ DevOps CLI tools for AWS, GCP, Hadoop, HBase, Spark, Log Anonymizer, Ambari Blueprints, AWS CloudFormation, Linux, Docker, Spark Data Converters & Validators (Avro / Parquet / JSON / CSV / INI / XML / YAML), Elasticsearch, Solr, Travis CI, Pig, IPython
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- [DevOps Python Tools](https://github.com/HariSekhon/DevOps-Python-tools) - 80+ DevOps CLI tools for AWS, GCP, Hadoop, HBase, Spark, Log Anonymizer, Ambari Blueprints, AWS CloudFormation, Linux, Docker, Spark Data Converters & Validators (Avro / Parquet / JSON / CSV / INI / XML / YAML), Elasticsearch, Solr, Travis CI, Pig, IPython
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- [The Advanced Nagios Plugins Collection](https://github.com/harisekhon/nagios-plugins) - 450+ programs for Nagios monitoring your Hadoop & NoSQL clusters. Covers every Hadoop vendor's management API and every major NoSQL technology (HBase, Cassandra, MongoDB, Elasticsearch, Solr, Riak, Redis etc.) as well as message queues (Kafka, RabbitMQ), continuous integration (Jenkins, Travis CI) and traditional infrastructure (SSL, Whois, DNS, Linux)
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- [The Advanced Nagios Plugins Collection](https://github.com/HariSekhon/Nagios-Plugins) - 450+ programs for Nagios monitoring your Hadoop & NoSQL clusters. Covers every Hadoop vendor's management API and every major NoSQL technology (HBase, Cassandra, MongoDB, Elasticsearch, Solr, Riak, Redis etc.) as well as message queues (Kafka, RabbitMQ), continuous integration (Jenkins, Travis CI) and traditional infrastructure (SSL, Whois, DNS, Linux)
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- [DevOps Perl Tools](https://github.com/harisekhon/perl-tools) - 25+ DevOps CLI tools for Hadoop, HDFS, Hive, Solr/SolrCloud CLI, Log Anonymizer, Nginx stats & HTTP(S) URL watchers for load balanced web farms, Dockerfiles & SQL ReCaser (MySQL, PostgreSQL, AWS Redshift, Snowflake, Apache Drill, Hive, Impala, Cassandra CQL, Microsoft SQL Server, Oracle, Couchbase N1QL, Dockerfiles, Pig Latin, Neo4j, InfluxDB), Ambari FreeIPA Kerberos, Datameer, Linux...
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analytics/bigquery_ecommerce_conversion_rate.sql

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WITH visitors AS(

analytics/bigquery_ecommerce_purchasers_on_return_visit.sql

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-- visitors who bought on a return visit (could have bought on first as well)

analytics/bigquery_ecommerce_time_on_site.sql

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-- looking at bounces and time on site are not good features for model training and prediction since of the top 10 customers by time on site only 1 purchased!

analytics/bigquery_ecommerce_top_5_products.sql

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SELECT

analytics/bigquery_ml_classification_logistic_regression_create_model1.sql

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-- ran for 2 minutes to build the trained model

analytics/bigquery_ml_classification_logistic_regression_create_model2.sql

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-- ran in 2 mins

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