I have two tables in Postgres 9.4.1 events and event_refs with the following schemas:. events table. CREATE TABLE events ( id serial NOT NULL PRIMARY KEY, event_type text NOT NULL, event_path jsonb, event_data jsonb, created_at timestamp with time zone NOT NULL ); -- Index on type and created time CREATE INDEX events_event_type_created_at_idx ON events (event_type, created_at);
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Complete guide on SQL In: find the best way of using SQL In operator in your projects & start using it in your own projects after this SQL In guide. Updated Oct 3, 2019. Contents. 1. SQL IN Operator Introduced. 2. Demo Databases. 2.1. Developers. 2.2. Customers. 3. Examples of Using SQL IN().
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Dec 02, 2020 · Apache Airflow (or just Airflow) is one of the most popular Python tools for orchestrating ETL workflows. It doesn’t do any data processing itself, but you can use it to schedule, organize, and monitor ETL processes with Python. Airflow was created at Airbnb and is used by many companies worldwide to run hundreds of thousands of jobs per day.
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An example operator call might look like this: airflow/providers/google/cloud/example_dags/example_presto_to_gcs.py View Source presto_to_gcs_basic = PrestoToGCSOperator ( task_id = "presto_to_gcs_basic" , sql = f "select * from { SOURCE_MULTIPLE_TYPES } " , bucket = GCS_BUCKET , filename = f " { safe_name ( SOURCE_MULTIPLE_TYPES ) } . {{}} .json" , )
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For example, let's say you want to require that AnsiPadding (value = 16), AnsiNulls (value = 32) and QuotedIdentifier (value = 256) are set to ON. You would add up those individual values -- 16 + 32 + 256 -- and then compare the total -- 304 -- with some "current" value, let's say 7000 (values 8 + 16 + 64 + 256 + 512 + 2048 + 4096):
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MySql Airflow Connection Metadata ¶; Parameter. Input. Host: string. MySql hostname. Schema: string. Set schema to execute Sql operations on by default. Login: string