HariSekhon/SQL-scripts
HariSekhon/SQL-scripts has 491 GitHub stars and 140 forks. Star changes are not measured yet. Last checked 2026-11-09 05:07 UTC. Last push 2026-02-03.
So werden diese Zahlen gemessen
100+ SQL Scripts - PostgreSQL, MySQL, Oracle, Google BigQuery, MariaDB, AWS Athena. DBA, Analytics, DevOps, performance engineering. Google BigQuery ML machine learning classification.
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- in 15 days
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- in 1 month
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Nettoänderungen in überlappenden Zeiträumen, keine Tagessummen. Fehlende Messwerte bleiben leer. Sterne zeigen Interesse, nicht Qualität.
README.md
OriginalSQL Scripts
Useful SQL scripts, split from DevOps Bash tools, for which this is now a submodule.
Hari Sekhon
Cloud & Big Data Contractor, United Kingdom
(you're welcome to connect with me on LinkedIn)
Inventory
DevOps / DBA
aws_athena_cloudtrail_ddl.sql- AWS Athena DDL to setup up integration to query CloudTrail logs from Athenabigquery_*.sql- Google BigQuery scripts:bigquery_billing_*.sql- billing queries for GCP usage eg. highest cost services, most used GCP products, recent charges etc.bigquery_info_*.sql- information schema queries for datasets, tables, columns, partitioning, clustering etc.
mysql_*.sql:postgres_*.sql:- PostgreSQL queries for DBA investigating + performance tuning
- postgres_info.sql - big summary overview, recommend you start here
- tested on PostgreSQL 8.4, 9.x, 10.x, 11.x, 12.x, 13.x
oracle_*.sql:- Oracle queries for DBA investigating
- tested on Oracle 9i, 10g, 11g, 19c
Analytics
bigquery_*.sql- Google BigQuery scripts:bigquery_billing_*.sql- billing queries for GCP usage eg. highest cost services, most used GCP products, recent charges etc.bigquery_info_*.sql- information schema queries for datasets, tables, columns, partitioning, clustering etc.- analytics/
bigquery_*.sql- ecommerce queries and BigQuery ML machine learning classification logistic regression models and purchasing predictions - for more BigQuery examples, see Data Engineering demos
Database Knowledge Base
See the pages for:
in the HariSekhon/Knowledge-Base repo:
DevOps SQL tooling
You can quickly test the PostgreSQL / MySQL scripts using postgres.sh / mysqld.sh / mariadb.sh in the 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.
postgres:
\i /sql/postgres_query_times.sql
\i postgres_query_times.sql
mysql:
source /sql/mysql_sessions.sql
\. mysql_sessions.sql
Related scripts
- .psqlrc - advanced PostgreSQL psql client config
- psql.sh - quickly connect to PostgreSQL with command line switches inferred from environment variables
- mysql.sh - quickly connect to MySQL / MariaDB with command line switches inferred from environment variables
- postgres.sh - one-touch PostgreSQL, boots docker container and drops you in to
psqlshell. Version can be given as an argument - mysqld.sh / mariadb.sh - one-touch MySQL / MariaDB, boots docker container and drops you in to
mysqlshell. Version can be given as an argument - postgres_foreach_table.sh / mysql_foreach_table.sh - execute templated SQL queries/statements against all or a subset of tables
- postgres_tables_row_counts.sh / mysql_tables_row_counts.sh - get row counts for all or a subset of tables
- sqlcase.pl - autocases your SQL code
- I use this a lot and call it via hotkey configured in my .vimrc
- there are
*case.plspecializations for most of the major RDBMS and distributed SQL systems, even several NoSQL systems, using each one's language specific keywords
- Hive & Impala SQL:
- beeline.sh - quickly connect to Hive, auto-determines HiveServer2 address, Kerberos & SSL options, ZooKeeper quorum
- impala_shell.sh - quickly connect to Impala, auto-determines a Hadoop worker node address and Kerberos options (can use an environment variable for a Load Balancer setup)
- hive_foreach_table.sh / impala_foreach_table.sh - execute templated SQL queries/statements against all or a subset of tables
- hive_tables_row_counts.sh / impala_tables_row_counts.sh - get row counts for all or a subset of tables
- hive_tables_column_counts.sh / impala_tables_column_counts.sh - get the column counts for big tables in Hive / Impala
- hive_tables_metadata.sh / impala_tables_metadata.sh / hive_tables_locations.sh / impala_tables_locations.sh - get Hive / Impala metadata for all or a subset of tables, eg. Location to determine where the external tables data is being stored (HDFS / S3 paths)
Star History
More Core Repos
Knowledge
DevOps Code
Containerization
CI/CD
Databases - DBA - SQL
DevOps Reloaded
Monitoring
Templates
Desktop
Spotify
The rest of my original source repos are here.
Pre-built Docker images are available on my DockerHub and can be re-generated using the my Dockerfiles repo.
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