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https://github.com/ververica/flink-sql-cookbook
The Apache Flink SQL Cookbook is a curated collection of examples, patterns, and use cases of Apache Flink SQL. Many of the recipes are completely self-contained and can be run in Ververica Platform as is.
https://github.com/ververica/flink-sql-cookbook
apache-flink flink flink-sql sql stream-processing
Last synced: about 2 months ago
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The Apache Flink SQL Cookbook is a curated collection of examples, patterns, and use cases of Apache Flink SQL. Many of the recipes are completely self-contained and can be run in Ververica Platform as is.
- Host: GitHub
- URL: https://github.com/ververica/flink-sql-cookbook
- Owner: ververica
- License: apache-2.0
- Created: 2020-12-01T15:56:24.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2022-11-07T23:10:13.000Z (about 2 years ago)
- Last Synced: 2024-10-30T21:37:50.632Z (2 months ago)
- Topics: apache-flink, flink, flink-sql, sql, stream-processing
- Language: Dockerfile
- Homepage:
- Size: 14.1 MB
- Stars: 851
- Watchers: 54
- Forks: 198
- Open Issues: 5
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Apache Flink SQL Cookbook
The [Apache Flink SQL](https://docs.ververica.com/user_guide/sql_development/index.html) Cookbook is a curated collection of examples, patterns, and use cases of Apache Flink SQL.
Many of the recipes are completely self-contained and can be run in [Ververica Platform](https://docs.ververica.com/index.html) as is.
The cookbook is a living document. :seedling:
## Table of Contents
### Foundations
1. [Creating Tables](foundations/01_create_table/01_create_table.md)
2. [Inserting Into Tables](foundations/02_insert_into/02_insert_into.md)
3. [Working with Temporary Tables](foundations/03_temporary_table/03_temporary_table.md)
4. [Filtering Data](foundations/04_where/04_where.md)
5. [Aggregating Data](foundations/05_group_by/05_group_by.md)
6. [Sorting Tables](foundations/06_order_by/06_order_by.md)
7. [Encapsulating Logic with (Temporary) Views](foundations/07_views/07_views.md)
8. [Writing Results into Multiple Tables](foundations/08_statement_sets/08_statement_sets.md)
9. [Convert timestamps with timezones](foundations/09_convert_timezones/09_convert_timezones.md)
### Aggregations and Analytics
1. [Aggregating Time Series Data](aggregations-and-analytics/01_group_by_window/01_group_by_window_tvf.md)
2. [Watermarks](aggregations-and-analytics/02_watermarks/02_watermarks.md)
3. [Analyzing Sessions in Time Series Data](aggregations-and-analytics/03_group_by_session_window/03_group_by_session_window.md)
4. [Rolling Aggregations on Time Series Data](aggregations-and-analytics/04_over/04_over.md)
5. [Continuous Top-N](aggregations-and-analytics/05_top_n/05_top_n.md)
6. [Deduplication](aggregations-and-analytics/06_dedup/06_dedup.md)
7. [Chained (Event) Time Windows](aggregations-and-analytics/07_chained_windows/07_chained_windows.md)
8. [Detecting Patterns with MATCH_RECOGNIZE](aggregations-and-analytics/08_match_recognize/08_match_recognize.md)
9. [Maintaining Materialized Views with Change Data Capture (CDC) and Debezium](aggregations-and-analytics/09_cdc_materialized_view/09_cdc_materialized_view.md)
10. [Hopping Time Windows](aggregations-and-analytics/10_hopping_time_windows/10_hopping_time_windows.md)
11. [Window Top-N](aggregations-and-analytics/11_window_top_n/11_window_top_n.md)
12. [Retrieve previous row value without self-join](aggregations-and-analytics/12_lag/12_lag.md)
### Other Built-in Functions & Operators
1. [Working with Dates and Timestamps](other-builtin-functions/01_date_time/01_date_time.md)
2. [Building the Union of Multiple Streams](other-builtin-functions/02_union-all/02_union-all.md)
3. [Filtering out Late Data](other-builtin-functions/03_current_watermark/03_current_watermark.md)
4. [Overriding table options](other-builtin-functions/04_override_table_options/04_override_table_options.md)
5. [Expanding arrays into new rows](other-builtin-functions/05_expanding_arrays/05_expanding_arrays.md)
6. [Split strings into maps](other-builtin-functions/06_split_strings_into_maps/06_split_strings_into_maps.md)
### User-Defined Functions (UDFs)
1. [Extending SQL with Python UDFs](udfs/01_python_udfs/01_python_udfs.md)
### Joins
1. [Regular Joins](joins/01_regular_joins/01_regular_joins.md)
2. [Interval Joins](joins/02_interval_joins/02_interval_joins.md)
3. [Temporal Table Join between a non-compacted and compacted Kafka Topic](joins/03_kafka_join/03_kafka_join.md)
4. [Lookup Joins](joins/04_lookup_joins/04_lookup_joins.md)
5. [Star Schema Denormalization (N-Way Join)](joins/05_star_schema/05_star_schema.md)
6. [Lateral Table Join](joins/06_lateral_join/06_lateral_join.md)
### Former Recipes
1. [Aggregating Time Series Data (Before Flink 1.13)](aggregations-and-analytics/01_group_by_window/01_group_by_window.md)
## About Apache Flink
Apache Flink is an open source stream processing framework with powerful stream- and batch-processing capabilities.
Learn more about Flink at https://flink.apache.org/.
## License
Copyright © 2020-2022 Ververica GmbH
Distributed under Apache License, Version 2.0.