Skip to main content

Yaml data converter between DB and Repo

Project description

pg-data-yaml — Yaml interface for reference tables in PostgreSQL

Export, diff and sync rows of reference tables in PostgreSQL to YAML files in a repository. Utilities merge-envs and analyze-envs help compare data across environment directories.

installation

pip install pg-data-yaml

which tables are included

Table selection is configured with --comment-label, --comment-table-type, or --table-list-predicate. One of these options is required for export, diff and sync (mutually exclusive).

--comment-label LABEL

Include tables whose comment contains LABEL (case-sensitive). Any label can be used, for example global directory or env directory.

Optional clause in parentheses after the label is parsed from the comment (see marking tables below).

pg_data_yaml export -d mydb --out-dir /tmp/refs --comment-label "global directory"

--comment-table-type TYPE

Include tables whose COMMENT ON TABLE is YAML with a matching type field. The comment is prefiltered in SQL by substring %TYPE%, then parsed and validated in Python.

type may be a string or a list of strings:

type: ref_data
data_query: select id, name from public.countries order by id
type:
  - global_data
  - app_settings
data_query: select id, code from public.settings order by id
  • if data_query is present — used as the export SELECT
  • if data_query is omitted — select * from <schema>.<table> order by <primary key columns>
  • if the comment does not parse as YAML or type does not match — table is skipped with a warning
pg_data_yaml export -d mydb --out-dir /tmp/refs --comment-table-type ref_data

--table-list-predicate PREDICATE

Include tables matching a SQL predicate. Table comments are ignored; export always uses select * from <schema>.<table> order by <primary key columns>.

The predicate is inserted into a query against pg_catalog.pg_class and pg_catalog.pg_namespace. Use n.nspname for schema name and c.relname for table name.

Example — tables without tenant columns:

pg_data_yaml export -d mydb --out-dir /tmp/refs --table-list-predicate "
not exists (
    select 1
      from information_schema.columns col
     where col.table_schema = n.nspname
       and col.table_name = c.relname
       and col.column_name in ('app_id', 'customer_id', 'customerid')
)"

Tables must have a primary key. Tables without a PK are skipped with a warning.

marking tables

When using --comment-label, add a comment on the table (via COMMENT ON TABLE):

synchronized directory

With a custom label:

global directory

Optional clause in parentheses:

  • if it contains the word select — a full export query, for example:
synchronized directory(select id, name from my_schema.my_table order by name)
  • otherwise — a WHERE filter inserted into the default template:
synchronized directory(not is_deleted)

select * from <schema>.<table> where not is_deleted order by <primary key columns>

If parentheses are omitted, export uses:

select * from <schema>.<table> order by <primary key columns>

Exported file layout: <out-dir>/<schema>/<table>.yaml

Each file is a YAML list of row mappings. Row and field order match the query result.

usage

export

usage: pg_data_yaml export [--help] [-d DBNAME] [-h HOST] [-p PORT] [-U USER] [-W PASSWORD]
                             (--comment-label LABEL | --comment-table-type TYPE
                              | --table-list-predicate PREDICATE)
                             --out-dir OUT_DIR [--clean] [--rows-limit ROWS]

options:
  --help                show this help message and exit
  -d DBNAME, --dbname DBNAME
                        database name to connect to
  -h HOST, --host HOST  database server host or socket directory
  -p PORT, --port PORT  database server port
  -U USER, --user USER  database user name
  -W PASSWORD, --password PASSWORD
                        database user password
  --comment-label LABEL
                        include tables whose comment contains LABEL (case-sensitive)
  --comment-table-type TYPE
                        include tables whose comment is YAML with matching type
  --table-list-predicate PREDICATE
                        include tables matching SQL PREDICATE (comments ignored)
  --out-dir OUT_DIR     directory for exporting files
  --clean               clean out_dir if not empty (env variable DATA_DIRECTORY_AUTOCLEAN=true)
  --rows-limit ROWS     skip tables with more than ROWS rows (default: 50000)

diff

usage: pg_data_yaml diff [--help] [-d DBNAME] [-h HOST] [-p PORT] [-U USER] [-W PASSWORD]
                           (--comment-label LABEL | --comment-table-type TYPE
                            | --table-list-predicate PREDICATE)
                           --source SOURCE

options:
  --help                show this help message and exit
  -d DBNAME, --dbname DBNAME
  -h HOST, --host HOST  database server host or socket directory
  -p PORT, --port PORT  database server port
  -U USER, --user USER  database user name
  -W PASSWORD, --password PASSWORD
                        database user password
  --comment-label LABEL
                        include tables whose comment contains LABEL (case-sensitive)
  --comment-table-type TYPE
                        include tables whose comment is YAML with matching type
  --table-list-predicate PREDICATE
                        include tables matching SQL PREDICATE (comments ignored)
  --source SOURCE       directory or yaml file to compare with the database

diff compares full yaml lists as text; row order matters.

sync

usage: pg_data_yaml sync [--help] [-d DBNAME] [-h HOST] [-p PORT] [-U USER] [-W PASSWORD]
                           (--comment-label LABEL | --comment-table-type TYPE
                            | --table-list-predicate PREDICATE)
                           --source SOURCE [--dry-run] [--echo-queries] [-y]
                           [--quiet] [--skip-error] [--session-replication-role ROLE]

options:
  --help                show this help message and exit
  -d DBNAME, --dbname DBNAME
                        database name to connect to
  -h HOST, --host HOST  database server host or socket directory
  -p PORT, --port PORT  database server port
  -U USER, --user USER  database user name
  -W PASSWORD, --password PASSWORD
                        database user password
  --comment-label LABEL
                        include tables whose comment contains LABEL (case-sensitive)
  --comment-table-type TYPE
                        include tables whose comment is YAML with matching type
  --table-list-predicate PREDICATE
                        include tables matching SQL PREDICATE (comments ignored)
  --source SOURCE       directory or yaml file to sync to the database
  --dry-run             test run without real changes
  --echo-queries        echo commands sent to server
  -y, --yes             do not ask confirm
  --quiet               suppress output; once: yaml diff, twice: table progress too
  --skip-error          continue syncing remaining tables after a failed table
  --session-replication-role ROLE
                        set session_replication_role locally in transaction before DML

Unlike diff, sync applies row-level DML (insert, update, delete) by primary key. Row order in yaml files does not matter: if only the order differs, sync reports Nothing to do. Before applying changes, sync validates that rows with the same primary key have the same set of columns in the file and in the database.

During apply, progress is printed per table unless suppressed:

public.countries... ok
public.cities... ok

On failure (PostgreSQL errors are printed without a Python traceback):

public.countries... ERROR: duplicate key value violates unique constraint "countries_pkey"

Progress is not printed with --echo-queries (queries would split the line). Use --quiet --quiet to suppress progress while keeping other output. With --skip-error, failed tables are rolled back and remaining tables are synced; the command still exits with code 1 if any table failed.

Each table is synced in its own transaction (begin; ... commit;), so a failed table does not leave other tables half-updated unless --skip-error is used to continue after an error.

merge-envs

Move table files that are identical in all given environment directories into a shared base directory and remove them from the environment directories.

usage: pg_data_yaml merge-envs [--help] --source ENV_DIR [--source ENV_DIR ...] --out-dir OUT_DIR [--dry-run]

options:
  --help                show this help message and exit
  --source ENV_DIR      environment directory (repeat for each env)
  --out-dir OUT_DIR     base directory for common table files
  --dry-run             show actions without changing files

Example layout after merge:

refs/
  base/public/countries.yaml   # identical in all envs
  dev/public/special.yaml      # env-specific
  prod/public/special.yaml

analyze-envs

Compare table yaml files across environment directories. For each table, prints a tab-separated line:

schema.table<TAB>identical_rows/different_rows<TAB>sync_mark
  • identical_rows — rows present and identical in all directories
  • different_rows — distinct row variants found across directories
  • * after the ratio — table file is missing in at least one directory
  • sync_markда when the table is listed in /tmp/synchronized_directory.txt, otherwise empty

Requires at least two directories.

usage: pg_data_yaml analyze-envs [--help] ENV_DIR [ENV_DIR ...]

options:
  --help                show this help message and exit
  ENV_DIR               environment directories to compare

Example:

$ pg_data_yaml analyze-envs /tmp/refs/dev /tmp/refs/prod /tmp/refs/stage
public.countries	120/0	да
public.settings	45/3*	

examples

Comment label for synchronized reference data:

$ pg_data_yaml export -d my_database -h 127.0.0.1 -p 5432 -U postgres \
    --out-dir /tmp/refs/ --comment-label "synchronized directory"

Comment label for per-environment data:

$ pg_data_yaml export -d my_database --out-dir /tmp/refs/base --comment-label "global directory"
$ pg_data_yaml export -d my_database --out-dir /tmp/refs/dev --comment-label "env directory"

Predicate-based selection:

$ pg_data_yaml export -d my_database --out-dir /tmp/refs/ --table-list-predicate "
not exists (
    select 1 from information_schema.columns col
     where col.table_schema = n.nspname
       and col.table_name = c.relname
       and col.column_name in ('app_id', 'customer_id', 'customerid')
)"

YAML comment with table type:

$ pg_data_yaml export -d my_database --out-dir /tmp/refs/ --comment-table-type ref_data

Diff and sync use the same table selection options as export:

$ pg_data_yaml merge-envs --source /tmp/refs/dev --source /tmp/refs/prod --out-dir /tmp/refs/base
$ pg_data_yaml analyze-envs /tmp/refs/dev /tmp/refs/prod /tmp/refs/stage
$ pg_data_yaml diff -d my_database -h 127.0.0.1 -p 5432 -U postgres --source /tmp/refs/ --comment-label "global directory"
$ pg_data_yaml sync -d my_database -h 127.0.0.1 -p 5432 -U postgres \
    --source /tmp/refs/ --comment-label "synchronized directory" -y
$ pg_data_yaml sync -d my_database -h 127.0.0.1 -p 5432 -U postgres \
    --source /tmp/refs/ --comment-label "synchronized directory" --quiet --quiet --skip-error -y
$ pg_data_yaml diff -d my_database -h 127.0.0.1 -p 5432 -U postgres --source /tmp/refs/public/countries.yaml

When syncing a directory, only tables that are both in the selected set and have a yaml file in --source are compared. A warning is printed and the table is skipped when the file exists but the table is not in the selection, or when the table is in the selection but the yaml file is missing. When syncing a single file, only that table is compared and updated if it is in the selection.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pg_data_yaml-0.3.0.tar.gz (25.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pg_data_yaml-0.3.0-py3-none-any.whl (26.7 kB view details)

Uploaded Python 3

File details

Details for the file pg_data_yaml-0.3.0.tar.gz.

File metadata

  • Download URL: pg_data_yaml-0.3.0.tar.gz
  • Upload date:
  • Size: 25.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.17

File hashes

Hashes for pg_data_yaml-0.3.0.tar.gz
Algorithm Hash digest
SHA256 8da6c65938ca5033b6b0c668c6f6347eec58b3b93831a6e360f0309073105dd6
MD5 a742b448c5a22763693f17ffbc8e635f
BLAKE2b-256 6e4aadbaa8fc34220e99cf1c155bf78e67f9e7a981be9d9fb9ebd1cbe149ad1f

See more details on using hashes here.

File details

Details for the file pg_data_yaml-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: pg_data_yaml-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 26.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.17

File hashes

Hashes for pg_data_yaml-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 eab929e7f25b35c28d8415f7feb83518175b635f28e6864060baed912622351f
MD5 3d2c23e5bb2e84ffbcb8730d79dc444c
BLAKE2b-256 9a1a13b342e03aa668346e0793f0de1154df56756fcc3df72c952fb743294087

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page