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Singer Postgres --> Postgres replication demo #2
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To see the checked in catalogs see #3 |
sherifnada
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Postgres --> Postgres replication demo
Singer Postgres --> Postgres replication demo
Jul 28, 2020
cgardens
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nicely done! we're 50% done with this product now 😉
jrhizor
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Jul 28, 2020
jrhizor
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Jul 28, 2020
jrhizor
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Jul 28, 2020
Co-authored-by: Jared Rhizor <jared@dataline.io>
Co-authored-by: Jared Rhizor <jared@dataline.io>
Co-authored-by: Jared Rhizor <jared@dataline.io>
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overrided methods that uses the "groups" in SQL
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* [ISSUE #28893] infer csv schema * [ISSUE #28893] align with pyarrow * Automated Commit - Formatting Changes * [ISSUE #28893] legacy inference and infer only when needed * [ISSUE #28893] fix scenario tests * [ISSUE #28893] using discovered schema as part of read * [ISSUE #28893] self-review + cleanup * [ISSUE #28893] fix test * [ISSUE #28893] code review part #1 * [ISSUE #28893] code review part #2 * Fix test * formatcdk * first pass * [ISSUE #28893] code review * fix mypy issues * comment * rename for clarity * Add a scenario test case * this isn't optional anymore * FIX test log level * Re-adding failing tests * [ISSUE #28893] improve inferrence to consider multiple types per value * Automated Commit - Formatting Changes * [ISSUE #28893] remove InferenceType.PRIMITIVE_AND_COMPLEX_TYPES * Code review * Automated Commit - Formatting Changes * fix unit tests --------- Co-authored-by: maxi297 <maxime@airbyte.io> Co-authored-by: maxi297 <maxi297@users.noreply.github.com>
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* [ISSUE #28893] infer csv schema * [ISSUE #28893] align with pyarrow * Automated Commit - Formatting Changes * [ISSUE #28893] legacy inference and infer only when needed * [ISSUE #28893] fix scenario tests * [ISSUE #28893] using discovered schema as part of read * [ISSUE #28893] self-review + cleanup * [ISSUE #28893] fix test * [ISSUE #28893] code review part #1 * [ISSUE #28893] code review part #2 * Fix test * formatcdk * [ISSUE #28893] code review * FIX test log level * Re-adding failing tests * [ISSUE #28893] improve inferrence to consider multiple types per value * Automated Commit - Formatting Changes * add file adapters for avro, csv, jsonl, and parquet * fix try catch * pr feedback with a few additional default options set * fix things from the rebase of master --------- Co-authored-by: maxi297 <maxime@airbyte.io> Co-authored-by: maxi297 <maxi297@users.noreply.github.com>
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* [ISSUE #28893] infer csv schema * [ISSUE #28893] align with pyarrow * Automated Commit - Formatting Changes * [ISSUE #28893] legacy inference and infer only when needed * [ISSUE #28893] fix scenario tests * [ISSUE #28893] using discovered schema as part of read * [ISSUE #28893] self-review + cleanup * [ISSUE #28893] fix test * [ISSUE #28893] code review part #1 * [ISSUE #28893] code review part #2 * Fix test * formatcdk * [ISSUE #28893] code review * FIX test log level * Re-adding failing tests * [ISSUE #28893] improve inferrence to consider multiple types per value * set decimal_as_float to True * update * Automated Commit - Formatting Changes * add file adapters for avro, csv, jsonl, and parquet * fix try catch * update * format * pr feedback with a few additional default options set --------- Co-authored-by: maxi297 <maxime@airbyte.io> Co-authored-by: maxi297 <maxi297@users.noreply.github.com> Co-authored-by: brianjlai <brian.lai@airbyte.io>
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* Update Dockerfile * Update metadata.yaml * Update mysql.md
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create new bigquery source in python
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Demo of replicating data from 2 postgres taps (1 remote, 1 local docker-powered) to a local docker postgres db.
Some learnings:
Setting up a tap requires
Setting up a target requires:
This example demonstrates piping of data from two different sources: a publicly available remote postgres database, and a local database stood up with docker.
Generate your own catalog files to and edit them to do full table replication and select one of the tables to replicate in each database. You might need to tell the target database to persist empty tables in case you try to replicate a table that doesn’t exist yet.
Once you’re done, you can poke around the database, creds are in target_config.json.
To check this out, first run
./first_time_setup.sh
then./run.sh