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| ## Database Table: `as_grid` | ||
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| ### Table Description | ||
| The `as_grid` table in the `public` schema is designed to manage grid-based data associated with various forecasts. It includes information about the producer, analysis times, and geometries, along with details about the data schema and table storage. | ||
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| ### Columns | ||
| | Column Name | Type | Nullable | Default Value | Description | | ||
| | ------------------ | ------------------------------- | -------- | ----------------------------------------- | ------------------------------------------------------ | | ||
| | `id` | `integer` | not null | `nextval('as_grid_id_seq'::regclass)` | Unique identifier for each record in the grid table. | | ||
| | `producer_id` | `integer` | not null | | Identifier for the producer associated with the grid. | | ||
| | `analysis_time` | `timestamp with time zone` | not null | | Timestamp indicating the time of analysis. | | ||
| | `geometry_id` | `integer` | not null | | Identifier for the geometry associated with the grid. | | ||
| | `schema_name` | `character varying(50)` | not null | | Name of the database schema where the grid is stored. | | ||
| | `table_name` | `character varying(50)` | not null | | Name of the database table where the grid is stored. | | ||
| | `partition_name` | `character varying(70)` | | | Name of the database partition for the grid data. | | ||
| | `record_count` | `integer` | not null | `0` | The count of records in the grid. | | ||
| | `delete_time` | `timestamp with time zone` | not null | | Timestamp indicating when the grid data will be deleted. | | ||
| | `last_updater` | `text` | | | Information about who last updated the record. | | ||
| | `last_updated` | `timestamp with time zone` | | | Timestamp of the last update to the record. | | ||
| | `min_analysis_time`| `timestamp with time zone` | | | Earliest analysis time for the grid data. | | ||
| | `max_analysis_time`| `timestamp with time zone` | | | Latest analysis time for the grid data. | | ||
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| ### Indexes | ||
| - **Primary Key**: `id` (using btree) | ||
| - **Unique Constraint**: `as_grid_producer_id_analysis_time_geometry_id_uniq_idx` on columns (`producer_id`, `analysis_time`, `geometry_id`) (using btree) | ||
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| ### Foreign-key Constraints | ||
| - **`as_grid_fmi_producer_fkey_02`**: Foreign Key constraint on `producer_id` referencing `fmi_producer(id)` | ||
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| ### Notes | ||
| - The table serves as a crucial component in handling grid-based data for various analytical purposes, particularly in meteorological or geographical analyses. | ||
| - The combination of `producer_id`, `analysis_time`, and `geometry_id` is ensured to be unique, facilitating precise data management. | ||
| - The table also tracks the lifecycle of the grid data, including its creation, update, and planned deletion times. | ||
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| ## Database Table: `as_previ` | ||
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| ### Table Description | ||
| The `as_previ` table in the `public` schema is designed to manage data related to point forecasts. It includes details about the producer, analysis times, and storage information. | ||
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| ### Columns | ||
| | Column Name | Type | Nullable | Default Value | Description | | ||
| | ------------------ | ------------------------------- | -------- | ------------------------------------------ | -------------------------------------------------------- | | ||
| | `producer_id` | `integer` | not null | | Identifier for the producer associated with the analysis.| | ||
| | `analysis_time` | `timestamp with time zone` | not null | | Timestamp indicating the time of analysis. | | ||
| | `schema_name` | `character varying(50)` | not null | | Name of the database schema where the data is stored. | | ||
| | `table_name` | `character varying(50)` | not null | | Name of the database table where the data is stored. | | ||
| | `partition_name` | `character varying(70)` | | | Name of the database partition for the data. | | ||
| | `record_count` | `integer` | not null | `0` | The count of records in the analysis. | | ||
| | `delete_time` | `timestamp with time zone` | not null | | Timestamp indicating when the data will be deleted. | | ||
| | `last_updater` | `text` | | | Information about who last updated the record. | | ||
| | `last_updated` | `timestamp(0) without time zone`| | | Timestamp of the last update to the record. | | ||
| | `min_analysis_time`| `timestamp with time zone` | | | Earliest analysis time for the data. | | ||
| | `max_analysis_time`| `timestamp with time zone` | | | Latest analysis time for the data. | | ||
| | `id` | `integer` | not null | `nextval('as_previ_id_seq'::regclass)` | Unique identifier for each record. | | ||
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| ### Indexes | ||
| - **Primary Key**: `id` (using btree) | ||
| - **Unique Constraint**: `as_previ_partition_name_uniq` on the column (`partition_name`) (using btree) | ||
| - **Unique Index**: `as_previ_producer_id_minmax_analysis_time_uniq_idx` on columns (`producer_id`, `min_analysis_time`, `max_analysis_time`) (using btree) | ||
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| ### Foreign-key Constraints | ||
| - **`as_previ_fmi_producer_fkey`**: Foreign Key constraint on `producer_id` referencing `fmi_producer(id)` | ||
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| ### Notes | ||
| - The table is instrumental in tracking and managing historical analysis data. | ||
| - The primary key ensures unique identification for each record. | ||
| - The unique constraints and indexes facilitate the efficient organization and retrieval of data based on specific parameters like analysis times and partition names. | ||
| - The table also manages the lifecycle of the analysis data, including creation, updates, and planned deletion times. | ||
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| ## Database Table: fmi_producer | ||
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| ### Table Description | ||
| This table is designed to store information about various producers. It includes unique identifiers for each producer, their names, descriptions, and references to their class and type. | ||
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| ### Columns | ||
| | Column Name | Type | Nullable | Default | Description | | ||
| | ------------- | ------------------------------------- | -------- | ------- | ------------------------------------------------- | | ||
| | `id` | `integer` | not null | | Unique identifier for each producer. | | ||
| | `name` | `character varying(50)` | not null | | Name of the producer. | | ||
| | `description` | `text` | | | Description of the producer. | | ||
| | `class_id` | `integer` | not null | | Identifier linking to the producer's class. | | ||
| | `last_updater`| `text` | | | Information about who last updated the record. | | ||
| | `last_updated`| `timestamp(0) without time zone` | | | Timestamp of the last update to the record. | | ||
| | `type_id` | `integer` | not null | | Identifier linking to the producer's type. | | ||
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| ### Indexes | ||
| - **Primary Key**: `id` (using btree) | ||
| - **Unique Constraint**: `fmi_producer_name_uniq` on the column (`name`) (using btree) | ||
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| ### Foreign-key Constraints | ||
| - **`fmi_producer_producer_class_fkey`**: Foreign Key constraint on `class_id` referencing `producer_class(id)` | ||
| - **`fmi_producer_producer_type_fkey`**: Foreign Key constraint on `type_id` referencing `producer_type(id)` | ||
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| ### Notes | ||
| - The `id` column is the primary key and is automatically managed. | ||
| - The `name` column has a unique constraint, ensuring no two producers have the same name. | ||
| - The `class_id` and `type_id` columns link to the `producer_class` and `producer_type` tables, respectively. | ||
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| ## Database Table: `forecast_type` | ||
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| ### Table Description | ||
| The `forecast_type` table in the `public` schema is designed to categorize different types of forecasts. | ||
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| Current types are: deterministic, analysis, control forecat, perturbed forecast, statistical processing | ||
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| Table includes unique identifiers for each forecast type, along with names and descriptions. | ||
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| ### Columns | ||
| | Column Name | Type | Nullable | Default Value | Description | | ||
| | ------------- | ------------------------------- | -------- | ------------------------------------------ | ---------------------------------------------------- | | ||
| | `id` | `integer` | not null | `nextval('forecast_type_id_seq'::regclass)`| Unique identifier for each forecast type. | | ||
| | `name` | `character varying(50)` | not null | | Name of the forecast type. | | ||
| | `description` | `text` | not null | | Description of the forecast type. | | ||
| | `last_updater`| `text` | | | Information about who last updated the record. | | ||
| | `last_updated`| `timestamp with time zone` | | | Timestamp of the last update to the record. | | ||
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| ### Indexes | ||
| - **Primary Key**: `id` (using btree) | ||
| - **Unique Constraint**: `forecast_type_name_uniq` on the column (`name`) (using btree) | ||
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| ### Notes | ||
| - The `id` column is auto-incremented using a sequence. | ||
| - The `name` column has a unique constraint, ensuring that each forecast type name is distinct. | ||
| - The table provides detailed information about each forecast type, including its name and description, and tracks the last updates made. | ||
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| ## Database Table: `geom_lambert_conformal` | ||
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| ### Table Description | ||
| The `geom_lambert_conformal` table in the `public` schema is designed to store information about Lambert Conformal Conic geometric projections. This table includes parameters specific to this projection type such as grid dimensions, orientation, and reference points. | ||
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| ### Columns | ||
| | Column Name | Type | Nullable | Default | Description | | ||
| | -------------- | --------------------------- | -------- | ------- | ------------------------------------------------------------- | | ||
| | `id` | `integer` | not null | | Unique identifier for the geometric projection record. | | ||
| | `name` | `text` | not null | | Name of the geometric projection. | | ||
| | `ni` | `integer` | not null | | Number of grid points along the x-axis (i-coordinate). | | ||
| | `nj` | `integer` | not null | | Number of grid points along the y-axis (j-coordinate). | | ||
| | `first_point` | `geometry(Point,4326)` | not null | | The first grid point in the projection, specified in WGS 84. | | ||
| | `di` | `numeric` | not null | | Grid point spacing along the x-axis. | | ||
| | `dj` | `numeric` | not null | | Grid point spacing along the y-axis. | | ||
| | `scanning_mode`| `text` | not null | | Scanning mode for the grid. | | ||
| | `orientation` | `numeric` | not null | | Orientation of the grid. | | ||
| | `latin1` | `numeric` | not null | | First latitude from pole at which the secant cone cuts the sphere. | | ||
| | `latin2` | `numeric` | | | Second latitude from pole at which the secant cone cuts the sphere. | | ||
| | `south_pole` | `geometry(Point,4326)` | | | Location of the south pole in the projection, specified in WGS 84. | | ||
| | `description` | `text` | not null | | Description of the geometric projection. | | ||
| | `last_updater` | `text` | | | Information about who last updated the record. | | ||
| | `last_updated` | `timestamp with time zone` | | | Timestamp of the last update to the record. | | ||
| | `earth_shape_id`| `integer` | | | Reference to an earth shape model. | | ||
| | `datum_id` | `integer` | | | Reference to a datum model. | | ||
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| ### Indexes | ||
| - **Primary Key**: `id` (using btree) | ||
| - **Unique Constraint**: `geom_lambert_conformal_name_uniq` on the column (`name`) (using btree) | ||
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| ### Check Constraints | ||
| - **`geom_lambert_conformal_datum_chk`**: CHECK (datum_id IS NULL OR datum_id IS NOT NULL AND earth_shape_id IS NULL) | ||
| - **`geom_lambert_conformal_scanning_mode_chk`**: CHECK (scanning_mode = ANY (ARRAY['+x-y'::text, '+x+y'::text])) | ||
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| ### Foreign-key Constraints | ||
| - **`geom_lambert_conformal_datum_id_fkey`**: Foreign Key constraint on `datum_id` referencing `datum(id)` | ||
| - **`geom_lambert_conformal_earth_shape_id_fkey`**: Foreign Key constraint on `earth_shape_id` referencing `earth_shape(id)` | ||
| - **`geom_lambert_conformal_geom_fkey_02`**: Foreign Key constraint on `id` referencing `geom(id)` | ||
| - **`geom_lambert_conformal_geom_fkey_03`**: Foreign Key constraint on `name` referencing `geom(name)` | ||
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| ### Notes | ||
| - The table is integral for managing Lambert Conformal geometric projections used in various spatial analyses and meteorological applications. | ||
| - The unique constraints and indexes ensure that each projection is distinct and easily retrievable. | ||
| - The check constraints enforce data integrity, particularly in terms of projection parameters and grid configurations. | ||
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| ## Database Table: `geom_latitude_longitude` | ||
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| ### Table Description | ||
| The `geom_latitude_longitude` table in the `public` schema is specifically designed to store geometric data in a latitude-longitude grid system. This table includes grid dimensions, spatial references, and other parameters related to geographic positioning. | ||
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| ### Columns | ||
| | Column Name | Type | Nullable | Default | Description | | ||
| | -------------- | --------------------------- | -------- | ------- | ------------------------------------------------------- | | ||
| | `id` | `integer` | not null | | Unique identifier for the geometric grid record. | | ||
| | `name` | `text` | not null | | Name of the geometric grid. | | ||
| | `ni` | `integer` | not null | | Number of grid points along the x-axis (longitude). | | ||
| | `nj` | `integer` | not null | | Number of grid points along the y-axis (latitude). | | ||
| | `first_point` | `geometry(Point,4326)` | not null | | The first grid point in the system, specified in WGS 84.| | ||
| | `di` | `numeric` | not null | | Grid point spacing along the x-axis (longitude). | | ||
| | `dj` | `numeric` | not null | | Grid point spacing along the y-axis (latitude). | | ||
| | `scanning_mode`| `text` | not null | | Scanning mode for the grid. | | ||
| | `description` | `text` | not null | | Description of the geometric grid. | | ||
| | `last_updater` | `text` | | | Information about who last updated the record. | | ||
| | `last_updated` | `timestamp with time zone` | | | Timestamp of the last update to the record. | | ||
| | `earth_shape_id`| `integer` | | | Reference to an earth shape model. | | ||
| | `datum_id` | `integer` | | | Reference to a datum model. | | ||
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| ### Indexes | ||
| - **Primary Key**: `id` (using btree) | ||
| - **Unique Constraint**: `geom_latitude_longitude_name_uniq` on the column (`name`) (using btree) | ||
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| ### Check Constraints | ||
| - **`geom_latitude_longitude_datum_chk`**: CHECK (datum_id IS NULL OR datum_id IS NOT NULL AND earth_shape_id IS NULL) | ||
| - **`geom_latitude_longitude_scanning_mode_chk`**: CHECK (scanning_mode = ANY (ARRAY['+x-y'::text, '+x+y'::text])) | ||
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| ### Foreign-key Constraints | ||
| - **`geom_latitude_longitude_datum_id_fkey`**: Foreign Key constraint on `datum_id` referencing `datum(id)` | ||
| - **`geom_latitude_longitude_earth_shape_id_fkey`**: Foreign Key constraint on `earth_shape_id` referencing `earth_shape(id)` | ||
| - **`geom_latitude_longitude_geom_fkey`**: Foreign Key constraint on `id` referencing `geom(id)` | ||
| - **`geom_latitude_longitude_geom_fkey_02`**: Foreign Key constraint on `name` referencing `geom(name)` | ||
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| ### Notes | ||
| - The table is essential for managing spatial data related to geographic positioning and mapping in a latitude-longitude grid system. | ||
| - Unique constraints ensure that each grid is distinct and identifiable by its name. | ||
| - The check constraints enforce data integrity, especially in terms of grid configurations and references. | ||
| - The table is linked to earth shape and datum models, providing crucial context for spatial data interpretation. | ||
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