Python-dlt

Latest version: v0.2.1

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0.1.0rc15

What's Changed
* fix psycopgcffi dependency to the last published version by rudolfix in https://github.com/scale-vector/dlt/pull/66
* updates grpcio to 1.50.0 and bumps to version 0.1.0rc15 by rudolfix in https://github.com/scale-vector/dlt/pull/72

0.1.0rc14

What's Changed
* Update docs by adrianbr in https://github.com/scale-vector/dlt/pull/61
* implements bigquery retry job by rudolfix in https://github.com/scale-vector/dlt/pull/59
* fixes pendulum date parsing by rudolfix in https://github.com/scale-vector/dlt/pull/65
* Bigquery LOCATION adjustable by adrianbr in https://github.com/scale-vector/dlt/pull/62

0.1.0rc13

What's Changed
* chunks the insert to redshift within single transaction
* option to export/import schema in Pipeline v1
* run any function in internal runner in Pipeline v1
* run many runners in parallel

0.1.0rc12

What's Changed
* adds support for deterministic variant types which are visible as different type depending on the content
* adds support for `Wei` variant type which is `Decimal` that within destination decimal range and `text` outside of that range
* adds option to automatically export schemas in `Pipeline` v1
* for the default schema, the schema name is not a part of dataset name.

0.1.0rc11

What's Changed
* streamlit and pandas helpers by rudolfix in https://github.com/scale-vector/dlt/pull/56

* allows setting `project_id` via config file/env when default GCP credentials are used. `project_id` if present overrides the one in default credentials
* experimental Streamlit helpers to: backup and restore pipeline state into `secrets.toml` and to write explore streamlit page to explore the schema
* experimental Pandas helper to read data from a destination into Panda frames using credentials already present in pipeline
* bumps to version `0.1.0rc11`

0.1.0rc10

What's Changed
* pre api v2 dlt engine update by rudolfix in https://github.com/scale-vector/dlt/pull/53

Details
* fixes invalid datetime serialization for Redshift loader
* handles default credentials in BigQuery loader
* partial implementation of 34 and 35 (conversion to classes)
* `unpack` renamed to `normalize` in `Pipeline`, `as_yaml` renamed to `to_pretty_yaml` in `Schema`
* credentials separated from configs, renamed credentials spec to match native GCP and Postgres credentials
* bumps version to 0.1.0rc10

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