From 555ba2d275955a48ed62af02ad96567446b0d7ed Mon Sep 17 00:00:00 2001 From: Robbi Bishop-Taylor Date: Tue, 8 Nov 2022 14:36:19 +1100 Subject: [PATCH] Add Landsat 9 to virtual product (#70) * Add Landsat 9 to virtual product * add ls9c to db * upload dump.sql Co-authored-by: pin.jin@ga.gov.au --- configs/dea_virtual_product_landsat.yaml | 13 +- docker/db/dump.sql | 665 +++++++-- .../DEACoastlines_generation_raster.ipynb | 149 +- notebooks/DEACoastlines_utils.ipynb | 1307 +++++++++++++++-- 4 files changed, 1815 insertions(+), 319 deletions(-) diff --git a/configs/dea_virtual_product_landsat.yaml b/configs/dea_virtual_product_landsat.yaml index da21084..9f1d03c 100644 --- a/configs/dea_virtual_product_landsat.yaml +++ b/configs/dea_virtual_product_landsat.yaml @@ -13,7 +13,6 @@ products: oa_nbart_contiguity, oa_fmask] gqa_iterative_mean_xy: [0, 1] group_by: solar_day -# cloud_cover: [0, 90] # Loads Landsat 7 data based on bands included in the `ls8_nbart` product ls7_nbart: @@ -28,8 +27,15 @@ products: &ls5_nbart <<: *ls8_nbart product: ga_ls5t_ard_3 - - # Loads data from Landsat 5, 7 and 8, and combines this into a virtual + + # Loads Landsat 9 data based on bands included in the `ls8_nbart` product + ls9_nbart: + recipe: + &ls9_nbart + <<: *ls8_nbart + product: ga_ls9c_ard_3 + + # Loads data from Landsat 5, 7, 8 and 9, and combines this into a virtual # product containing spectral bands (blue, green, red, nir, swir1, swir2), # a cloud masking band (fmask) and a contiguity band (contiguity). ls_nbart: @@ -41,6 +47,7 @@ products: - *ls5_nbart - *ls7_nbart - *ls8_nbart + - *ls9_nbart output: blue: formula: nbart_blue diff --git a/docker/db/dump.sql b/docker/db/dump.sql index 7493660..ce93c4f 100644 --- a/docker/db/dump.sql +++ b/docker/db/dump.sql @@ -2,8 +2,8 @@ -- PostgreSQL database dump -- --- Dumped from database version 12.9 (Debian 12.9-1.pgdg110+1) --- Dumped by pg_dump version 13.8 (Ubuntu 13.8-1.pgdg20.04+1) +-- Dumped from database version 13.4 (Debian 13.4-1.pgdg110+1) +-- Dumped by pg_dump version 13.6 (Ubuntu 13.6-1.pgdg20.04+1+b1) SET statement_timeout = 0; SET lock_timeout = 0; @@ -17,43 +17,57 @@ SET client_min_messages = warning; SET row_security = off; -- --- Name: agdc; Type: SCHEMA; Schema: -; Owner: agdc_admin +-- Name: agdc; Type: SCHEMA; Schema: -; Owner: odcuser -- CREATE SCHEMA agdc; -ALTER SCHEMA agdc OWNER TO agdc_admin; +ALTER SCHEMA agdc OWNER TO odcuser; -- --- Name: tiger; Type: SCHEMA; Schema: -; Owner: localuser +-- Name: pg_cron; Type: EXTENSION; Schema: -; Owner: - +-- + +CREATE EXTENSION IF NOT EXISTS pg_cron WITH SCHEMA public; + + +-- +-- Name: EXTENSION pg_cron; Type: COMMENT; Schema: -; Owner: +-- + +COMMENT ON EXTENSION pg_cron IS 'Job scheduler for PostgreSQL'; + + +-- +-- Name: tiger; Type: SCHEMA; Schema: -; Owner: odcuser -- CREATE SCHEMA tiger; -ALTER SCHEMA tiger OWNER TO localuser; +ALTER SCHEMA tiger OWNER TO odcuser; -- --- Name: tiger_data; Type: SCHEMA; Schema: -; Owner: localuser +-- Name: tiger_data; Type: SCHEMA; Schema: -; Owner: odcuser -- CREATE SCHEMA tiger_data; -ALTER SCHEMA tiger_data OWNER TO localuser; +ALTER SCHEMA tiger_data OWNER TO odcuser; -- --- Name: topology; Type: SCHEMA; Schema: -; Owner: localuser +-- Name: topology; Type: SCHEMA; Schema: -; Owner: postgres -- CREATE SCHEMA topology; -ALTER SCHEMA topology OWNER TO localuser; +ALTER SCHEMA topology OWNER TO postgres; -- --- Name: SCHEMA topology; Type: COMMENT; Schema: -; Owner: localuser +-- Name: SCHEMA topology; Type: COMMENT; Schema: -; Owner: postgres -- COMMENT ON SCHEMA topology IS 'PostGIS Topology schema'; @@ -73,6 +87,20 @@ CREATE EXTENSION IF NOT EXISTS fuzzystrmatch WITH SCHEMA public; COMMENT ON EXTENSION fuzzystrmatch IS 'determine similarities and distance between strings'; +-- +-- Name: hstore; Type: EXTENSION; Schema: -; Owner: - +-- + +CREATE EXTENSION IF NOT EXISTS hstore WITH SCHEMA public; + + +-- +-- Name: EXTENSION hstore; Type: COMMENT; Schema: -; Owner: +-- + +COMMENT ON EXTENSION hstore IS 'data type for storing sets of (key, value) pairs'; + + -- -- Name: postgis; Type: EXTENSION; Schema: -; Owner: - -- @@ -87,6 +115,34 @@ CREATE EXTENSION IF NOT EXISTS postgis WITH SCHEMA public; COMMENT ON EXTENSION postgis IS 'PostGIS geometry and geography spatial types and functions'; +-- +-- Name: pgrouting; Type: EXTENSION; Schema: -; Owner: - +-- + +CREATE EXTENSION IF NOT EXISTS pgrouting WITH SCHEMA public; + + +-- +-- Name: EXTENSION pgrouting; Type: COMMENT; Schema: -; Owner: +-- + +COMMENT ON EXTENSION pgrouting IS 'pgRouting Extension'; + + +-- +-- Name: postgis_raster; Type: EXTENSION; Schema: -; Owner: - +-- + +CREATE EXTENSION IF NOT EXISTS postgis_raster WITH SCHEMA public; + + +-- +-- Name: EXTENSION postgis_raster; Type: COMMENT; Schema: -; Owner: +-- + +COMMENT ON EXTENSION postgis_raster IS 'PostGIS raster types and functions'; + + -- -- Name: postgis_tiger_geocoder; Type: EXTENSION; Schema: -; Owner: - -- @@ -116,7 +172,7 @@ COMMENT ON EXTENSION postgis_topology IS 'PostGIS topology spatial types and fun -- --- Name: float8range; Type: TYPE; Schema: agdc; Owner: agdc_admin +-- Name: float8range; Type: TYPE; Schema: agdc; Owner: odcuser -- CREATE TYPE agdc.float8range AS RANGE ( @@ -125,10 +181,10 @@ CREATE TYPE agdc.float8range AS RANGE ( ); -ALTER TYPE agdc.float8range OWNER TO agdc_admin; +ALTER TYPE agdc.float8range OWNER TO odcuser; -- --- Name: common_timestamp(text); Type: FUNCTION; Schema: agdc; Owner: agdc_admin +-- Name: common_timestamp(text); Type: FUNCTION; Schema: agdc; Owner: odcuser -- CREATE FUNCTION agdc.common_timestamp(text) RETURNS timestamp with time zone @@ -138,10 +194,10 @@ select ($1)::timestamp at time zone 'utc'; $_$; -ALTER FUNCTION agdc.common_timestamp(text) OWNER TO agdc_admin; +ALTER FUNCTION agdc.common_timestamp(text) OWNER TO odcuser; -- --- Name: set_row_update_time(); Type: FUNCTION; Schema: agdc; Owner: agdc_admin +-- Name: set_row_update_time(); Type: FUNCTION; Schema: agdc; Owner: odcuser -- CREATE FUNCTION agdc.set_row_update_time() RETURNS trigger @@ -154,14 +210,188 @@ end; $$; -ALTER FUNCTION agdc.set_row_update_time() OWNER TO agdc_admin; +ALTER FUNCTION agdc.set_row_update_time() OWNER TO odcuser; + +-- +-- Name: asbinary(public.geometry); Type: FUNCTION; Schema: public; Owner: postgres +-- + +CREATE FUNCTION public.asbinary(public.geometry) RETURNS bytea + LANGUAGE c IMMUTABLE STRICT + AS '$libdir/postgis-3', 'LWGEOM_asBinary'; + + +ALTER FUNCTION public.asbinary(public.geometry) OWNER TO postgres; + +-- +-- Name: asbinary(public.geometry, text); Type: FUNCTION; Schema: public; Owner: postgres +-- + +CREATE FUNCTION public.asbinary(public.geometry, text) RETURNS bytea + LANGUAGE c IMMUTABLE STRICT + AS '$libdir/postgis-3', 'LWGEOM_asBinary'; + + +ALTER FUNCTION public.asbinary(public.geometry, text) OWNER TO postgres; + +-- +-- Name: astext(public.geometry); Type: FUNCTION; Schema: public; Owner: postgres +-- + +CREATE FUNCTION public.astext(public.geometry) RETURNS text + LANGUAGE c IMMUTABLE STRICT + AS '$libdir/postgis-3', 'LWGEOM_asText'; + + +ALTER FUNCTION public.astext(public.geometry) OWNER TO postgres; + +-- +-- Name: estimated_extent(text, text); Type: FUNCTION; Schema: public; Owner: postgres +-- + +CREATE FUNCTION public.estimated_extent(text, text) RETURNS public.box2d + LANGUAGE c IMMUTABLE STRICT SECURITY DEFINER + AS '$libdir/postgis-3', 'geometry_estimated_extent'; + + +ALTER FUNCTION public.estimated_extent(text, text) OWNER TO postgres; + +-- +-- Name: estimated_extent(text, text, text); Type: FUNCTION; Schema: public; Owner: postgres +-- + +CREATE FUNCTION public.estimated_extent(text, text, text) RETURNS public.box2d + LANGUAGE c IMMUTABLE STRICT SECURITY DEFINER + AS '$libdir/postgis-3', 'geometry_estimated_extent'; + + +ALTER FUNCTION public.estimated_extent(text, text, text) OWNER TO postgres; + +-- +-- Name: geomfromtext(text); Type: FUNCTION; Schema: public; Owner: postgres +-- + +CREATE FUNCTION public.geomfromtext(text) RETURNS public.geometry + LANGUAGE sql IMMUTABLE STRICT + AS $_$SELECT ST_GeomFromText($1)$_$; + + +ALTER FUNCTION public.geomfromtext(text) OWNER TO postgres; + +-- +-- Name: geomfromtext(text, integer); Type: FUNCTION; Schema: public; Owner: postgres +-- + +CREATE FUNCTION public.geomfromtext(text, integer) RETURNS public.geometry + LANGUAGE sql IMMUTABLE STRICT + AS $_$SELECT ST_GeomFromText($1, $2)$_$; + + +ALTER FUNCTION public.geomfromtext(text, integer) OWNER TO postgres; + +-- +-- Name: ndims(public.geometry); Type: FUNCTION; Schema: public; Owner: postgres +-- + +CREATE FUNCTION public.ndims(public.geometry) RETURNS smallint + LANGUAGE c IMMUTABLE STRICT + AS '$libdir/postgis-3', 'LWGEOM_ndims'; + + +ALTER FUNCTION public.ndims(public.geometry) OWNER TO postgres; + +-- +-- Name: setsrid(public.geometry, integer); Type: FUNCTION; Schema: public; Owner: postgres +-- + +CREATE FUNCTION public.setsrid(public.geometry, integer) RETURNS public.geometry + LANGUAGE c IMMUTABLE STRICT + AS '$libdir/postgis-3', 'LWGEOM_set_srid'; + + +ALTER FUNCTION public.setsrid(public.geometry, integer) OWNER TO postgres; + +-- +-- Name: srid(public.geometry); Type: FUNCTION; Schema: public; Owner: postgres +-- + +CREATE FUNCTION public.srid(public.geometry) RETURNS integer + LANGUAGE c IMMUTABLE STRICT + AS '$libdir/postgis-3', 'LWGEOM_get_srid'; + + +ALTER FUNCTION public.srid(public.geometry) OWNER TO postgres; + +-- +-- Name: st_asbinary(text); Type: FUNCTION; Schema: public; Owner: postgres +-- + +CREATE FUNCTION public.st_asbinary(text) RETURNS bytea + LANGUAGE sql IMMUTABLE STRICT + AS $_$ SELECT ST_AsBinary($1::geometry);$_$; + + +ALTER FUNCTION public.st_asbinary(text) OWNER TO postgres; + +-- +-- Name: st_astext(bytea); Type: FUNCTION; Schema: public; Owner: postgres +-- + +CREATE FUNCTION public.st_astext(bytea) RETURNS text + LANGUAGE sql IMMUTABLE STRICT + AS $_$ SELECT ST_AsText($1::geometry);$_$; + + +ALTER FUNCTION public.st_astext(bytea) OWNER TO postgres; + +-- +-- Name: gist_geometry_ops; Type: OPERATOR FAMILY; Schema: public; Owner: postgres +-- + +CREATE OPERATOR FAMILY public.gist_geometry_ops USING gist; + + +ALTER OPERATOR FAMILY public.gist_geometry_ops USING gist OWNER TO postgres; + +-- +-- Name: gist_geometry_ops; Type: OPERATOR CLASS; Schema: public; Owner: postgres +-- + +CREATE OPERATOR CLASS public.gist_geometry_ops + FOR TYPE public.geometry USING gist FAMILY public.gist_geometry_ops AS + STORAGE public.box2df , + OPERATOR 1 public.<<(public.geometry,public.geometry) , + OPERATOR 2 public.&<(public.geometry,public.geometry) , + OPERATOR 3 public.&&(public.geometry,public.geometry) , + OPERATOR 4 public.&>(public.geometry,public.geometry) , + OPERATOR 5 public.>>(public.geometry,public.geometry) , + OPERATOR 6 public.~=(public.geometry,public.geometry) , + OPERATOR 7 public.~(public.geometry,public.geometry) , + OPERATOR 8 public.@(public.geometry,public.geometry) , + OPERATOR 9 public.&<|(public.geometry,public.geometry) , + OPERATOR 10 public.<<|(public.geometry,public.geometry) , + OPERATOR 11 public.|>>(public.geometry,public.geometry) , + OPERATOR 12 public.|&>(public.geometry,public.geometry) , + OPERATOR 13 public.<->(public.geometry,public.geometry) FOR ORDER BY pg_catalog.float_ops , + OPERATOR 14 public.<#>(public.geometry,public.geometry) FOR ORDER BY pg_catalog.float_ops , + FUNCTION 1 (public.geometry, public.geometry) public.geometry_gist_consistent_2d(internal,public.geometry,integer) , + FUNCTION 2 (public.geometry, public.geometry) public.geometry_gist_union_2d(bytea,internal) , + FUNCTION 3 (public.geometry, public.geometry) public.geometry_gist_compress_2d(internal) , + FUNCTION 4 (public.geometry, public.geometry) public.geometry_gist_decompress_2d(internal) , + FUNCTION 5 (public.geometry, public.geometry) public.geometry_gist_penalty_2d(internal,internal,internal) , + FUNCTION 6 (public.geometry, public.geometry) public.geometry_gist_picksplit_2d(internal,internal) , + FUNCTION 7 (public.geometry, public.geometry) public.geometry_gist_same_2d(public.geometry,public.geometry,internal) , + FUNCTION 8 (public.geometry, public.geometry) public.geometry_gist_distance_2d(internal,public.geometry,integer); + + +ALTER OPERATOR CLASS public.gist_geometry_ops USING gist OWNER TO postgres; SET default_tablespace = ''; SET default_table_access_method = heap; -- --- Name: dataset; Type: TABLE; Schema: agdc; Owner: agdc_admin +-- Name: dataset; Type: TABLE; Schema: agdc; Owner: odcuser -- CREATE TABLE agdc.dataset ( @@ -176,10 +406,10 @@ CREATE TABLE agdc.dataset ( ); -ALTER TABLE agdc.dataset OWNER TO agdc_admin; +ALTER TABLE agdc.dataset OWNER TO odcuser; -- --- Name: dataset_location; Type: TABLE; Schema: agdc; Owner: agdc_admin +-- Name: dataset_location; Type: TABLE; Schema: agdc; Owner: odcuser -- CREATE TABLE agdc.dataset_location ( @@ -193,10 +423,10 @@ CREATE TABLE agdc.dataset_location ( ); -ALTER TABLE agdc.dataset_location OWNER TO agdc_admin; +ALTER TABLE agdc.dataset_location OWNER TO odcuser; -- --- Name: dataset_location_id_seq; Type: SEQUENCE; Schema: agdc; Owner: agdc_admin +-- Name: dataset_location_id_seq; Type: SEQUENCE; Schema: agdc; Owner: odcuser -- CREATE SEQUENCE agdc.dataset_location_id_seq @@ -208,17 +438,17 @@ CREATE SEQUENCE agdc.dataset_location_id_seq CACHE 1; -ALTER TABLE agdc.dataset_location_id_seq OWNER TO agdc_admin; +ALTER TABLE agdc.dataset_location_id_seq OWNER TO odcuser; -- --- Name: dataset_location_id_seq; Type: SEQUENCE OWNED BY; Schema: agdc; Owner: agdc_admin +-- Name: dataset_location_id_seq; Type: SEQUENCE OWNED BY; Schema: agdc; Owner: odcuser -- ALTER SEQUENCE agdc.dataset_location_id_seq OWNED BY agdc.dataset_location.id; -- --- Name: dataset_source; Type: TABLE; Schema: agdc; Owner: agdc_admin +-- Name: dataset_source; Type: TABLE; Schema: agdc; Owner: odcuser -- CREATE TABLE agdc.dataset_source ( @@ -228,10 +458,10 @@ CREATE TABLE agdc.dataset_source ( ); -ALTER TABLE agdc.dataset_source OWNER TO agdc_admin; +ALTER TABLE agdc.dataset_source OWNER TO odcuser; -- --- Name: dataset_type; Type: TABLE; Schema: agdc; Owner: agdc_admin +-- Name: dataset_type; Type: TABLE; Schema: agdc; Owner: odcuser -- CREATE TABLE agdc.dataset_type ( @@ -247,10 +477,10 @@ CREATE TABLE agdc.dataset_type ( ); -ALTER TABLE agdc.dataset_type OWNER TO agdc_admin; +ALTER TABLE agdc.dataset_type OWNER TO odcuser; -- --- Name: dataset_type_id_seq; Type: SEQUENCE; Schema: agdc; Owner: agdc_admin +-- Name: dataset_type_id_seq; Type: SEQUENCE; Schema: agdc; Owner: odcuser -- CREATE SEQUENCE agdc.dataset_type_id_seq @@ -262,17 +492,17 @@ CREATE SEQUENCE agdc.dataset_type_id_seq CACHE 1; -ALTER TABLE agdc.dataset_type_id_seq OWNER TO agdc_admin; +ALTER TABLE agdc.dataset_type_id_seq OWNER TO odcuser; -- --- Name: dataset_type_id_seq; Type: SEQUENCE OWNED BY; Schema: agdc; Owner: agdc_admin +-- Name: dataset_type_id_seq; Type: SEQUENCE OWNED BY; Schema: agdc; Owner: odcuser -- ALTER SEQUENCE agdc.dataset_type_id_seq OWNED BY agdc.dataset_type.id; -- --- Name: metadata_type; Type: TABLE; Schema: agdc; Owner: agdc_admin +-- Name: metadata_type; Type: TABLE; Schema: agdc; Owner: odcuser -- CREATE TABLE agdc.metadata_type ( @@ -286,10 +516,10 @@ CREATE TABLE agdc.metadata_type ( ); -ALTER TABLE agdc.metadata_type OWNER TO agdc_admin; +ALTER TABLE agdc.metadata_type OWNER TO odcuser; -- --- Name: dv_eo3_dataset; Type: VIEW; Schema: agdc; Owner: localuser +-- Name: dv_eo3_dataset; Type: VIEW; Schema: agdc; Owner: odcuser -- CREATE VIEW agdc.dv_eo3_dataset AS @@ -319,10 +549,10 @@ CREATE VIEW agdc.dv_eo3_dataset AS WHERE ((dataset.archived IS NULL) AND (dataset.metadata_type_ref = 1)); -ALTER TABLE agdc.dv_eo3_dataset OWNER TO localuser; +ALTER TABLE agdc.dv_eo3_dataset OWNER TO odcuser; -- --- Name: dv_eo3_landsat_ard_dataset; Type: VIEW; Schema: agdc; Owner: localuser +-- Name: dv_eo3_landsat_ard_dataset; Type: VIEW; Schema: agdc; Owner: odcuser -- CREATE VIEW agdc.dv_eo3_landsat_ard_dataset AS @@ -382,10 +612,10 @@ CREATE VIEW agdc.dv_eo3_landsat_ard_dataset AS WHERE ((dataset.archived IS NULL) AND (dataset.metadata_type_ref = 4)); -ALTER TABLE agdc.dv_eo3_landsat_ard_dataset OWNER TO localuser; +ALTER TABLE agdc.dv_eo3_landsat_ard_dataset OWNER TO odcuser; -- --- Name: dv_eo_dataset; Type: VIEW; Schema: agdc; Owner: localuser +-- Name: dv_eo_dataset; Type: VIEW; Schema: agdc; Owner: odcuser -- CREATE VIEW agdc.dv_eo_dataset AS @@ -412,10 +642,10 @@ CREATE VIEW agdc.dv_eo_dataset AS WHERE ((dataset.archived IS NULL) AND (dataset.metadata_type_ref = 2)); -ALTER TABLE agdc.dv_eo_dataset OWNER TO localuser; +ALTER TABLE agdc.dv_eo_dataset OWNER TO odcuser; -- --- Name: dv_ga_ls5t_ard_3_dataset; Type: VIEW; Schema: agdc; Owner: localuser +-- Name: dv_ga_ls5t_ard_3_dataset; Type: VIEW; Schema: agdc; Owner: odcuser -- CREATE VIEW agdc.dv_ga_ls5t_ard_3_dataset AS @@ -475,10 +705,10 @@ CREATE VIEW agdc.dv_ga_ls5t_ard_3_dataset AS WHERE ((dataset.archived IS NULL) AND (dataset.dataset_type_ref = 1)); -ALTER TABLE agdc.dv_ga_ls5t_ard_3_dataset OWNER TO localuser; +ALTER TABLE agdc.dv_ga_ls5t_ard_3_dataset OWNER TO odcuser; -- --- Name: dv_ga_ls7e_ard_3_dataset; Type: VIEW; Schema: agdc; Owner: localuser +-- Name: dv_ga_ls7e_ard_3_dataset; Type: VIEW; Schema: agdc; Owner: odcuser -- CREATE VIEW agdc.dv_ga_ls7e_ard_3_dataset AS @@ -538,10 +768,10 @@ CREATE VIEW agdc.dv_ga_ls7e_ard_3_dataset AS WHERE ((dataset.archived IS NULL) AND (dataset.dataset_type_ref = 2)); -ALTER TABLE agdc.dv_ga_ls7e_ard_3_dataset OWNER TO localuser; +ALTER TABLE agdc.dv_ga_ls7e_ard_3_dataset OWNER TO odcuser; -- --- Name: dv_ga_ls8c_ard_3_dataset; Type: VIEW; Schema: agdc; Owner: localuser +-- Name: dv_ga_ls8c_ard_3_dataset; Type: VIEW; Schema: agdc; Owner: odcuser -- CREATE VIEW agdc.dv_ga_ls8c_ard_3_dataset AS @@ -601,10 +831,73 @@ CREATE VIEW agdc.dv_ga_ls8c_ard_3_dataset AS WHERE ((dataset.archived IS NULL) AND (dataset.dataset_type_ref = 3)); -ALTER TABLE agdc.dv_ga_ls8c_ard_3_dataset OWNER TO localuser; +ALTER TABLE agdc.dv_ga_ls8c_ard_3_dataset OWNER TO odcuser; -- --- Name: dv_telemetry_dataset; Type: VIEW; Schema: agdc; Owner: localuser +-- Name: dv_ga_ls9c_ard_3_dataset; Type: VIEW; Schema: agdc; Owner: odcuser +-- + +CREATE VIEW agdc.dv_ga_ls9c_ard_3_dataset AS + SELECT dataset.id, + dataset.added AS indexed_time, + dataset.added_by AS indexed_by, + dataset_type.name AS product, + dataset.dataset_type_ref AS dataset_type_id, + metadata_type.name AS metadata_type, + dataset.metadata_type_ref AS metadata_type_id, + dataset.metadata AS metadata_doc, + agdc.common_timestamp((dataset.metadata #>> '{properties,odc:processing_datetime}'::text[])) AS creation_time, + (dataset.metadata #>> '{properties,odc:file_format}'::text[]) AS format, + (dataset.metadata #>> '{label}'::text[]) AS label, + ((dataset.metadata #>> '{properties,gqa:cep90}'::text[]))::double precision AS gqa, + agdc.float8range(((dataset.metadata #>> '{extent,lat,begin}'::text[]))::double precision, ((dataset.metadata #>> '{extent,lat,end}'::text[]))::double precision, '[]'::text) AS lat, + agdc.float8range(((dataset.metadata #>> '{extent,lon,begin}'::text[]))::double precision, ((dataset.metadata #>> '{extent,lon,end}'::text[]))::double precision, '[]'::text) AS lon, + tstzrange(LEAST(agdc.common_timestamp((dataset.metadata #>> '{properties,dtr:start_datetime}'::text[])), agdc.common_timestamp((dataset.metadata #>> '{properties,datetime}'::text[]))), GREATEST(agdc.common_timestamp((dataset.metadata #>> '{properties,dtr:end_datetime}'::text[])), agdc.common_timestamp((dataset.metadata #>> '{properties,datetime}'::text[]))), '[]'::text) AS "time", + ((dataset.metadata #>> '{properties,eo:gsd}'::text[]))::double precision AS eo_gsd, + (dataset.metadata #>> '{crs}'::text[]) AS crs_raw, + (dataset.metadata #>> '{properties,eo:platform}'::text[]) AS platform, + ((dataset.metadata #>> '{properties,gqa:abs_x}'::text[]))::double precision AS gqa_abs_x, + ((dataset.metadata #>> '{properties,gqa:abs_y}'::text[]))::double precision AS gqa_abs_y, + ((dataset.metadata #>> '{properties,gqa:cep90}'::text[]))::double precision AS gqa_cep90, + ((dataset.metadata #>> '{properties,fmask:snow}'::text[]))::double precision AS fmask_snow, + ((dataset.metadata #>> '{properties,gqa:abs_xy}'::text[]))::double precision AS gqa_abs_xy, + ((dataset.metadata #>> '{properties,gqa:mean_x}'::text[]))::double precision AS gqa_mean_x, + ((dataset.metadata #>> '{properties,gqa:mean_y}'::text[]))::double precision AS gqa_mean_y, + (dataset.metadata #>> '{properties,eo:instrument}'::text[]) AS instrument, + ((dataset.metadata #>> '{properties,eo:cloud_cover}'::text[]))::double precision AS cloud_cover, + ((dataset.metadata #>> '{properties,fmask:clear}'::text[]))::double precision AS fmask_clear, + ((dataset.metadata #>> '{properties,fmask:water}'::text[]))::double precision AS fmask_water, + ((dataset.metadata #>> '{properties,gqa:mean_xy}'::text[]))::double precision AS gqa_mean_xy, + (dataset.metadata #>> '{properties,odc:region_code}'::text[]) AS region_code, + ((dataset.metadata #>> '{properties,gqa:stddev_x}'::text[]))::double precision AS gqa_stddev_x, + ((dataset.metadata #>> '{properties,gqa:stddev_y}'::text[]))::double precision AS gqa_stddev_y, + ((dataset.metadata #>> '{properties,gqa:stddev_xy}'::text[]))::double precision AS gqa_stddev_xy, + ((dataset.metadata #>> '{properties,eo:sun_azimuth}'::text[]))::double precision AS eo_sun_azimuth, + (dataset.metadata #>> '{properties,odc:product_family}'::text[]) AS product_family, + (dataset.metadata #>> '{properties,dea:dataset_maturity}'::text[]) AS dataset_maturity, + ((dataset.metadata #>> '{properties,eo:sun_elevation}'::text[]))::double precision AS eo_sun_elevation, + (dataset.metadata #>> '{properties,landsat:landsat_scene_id}'::text[]) AS landsat_scene_id, + ((dataset.metadata #>> '{properties,fmask:cloud_shadow}'::text[]))::double precision AS fmask_cloud_shadow, + (dataset.metadata #>> '{properties,landsat:landsat_product_id}'::text[]) AS landsat_product_id, + ((dataset.metadata #>> '{properties,gqa:iterative_mean_x}'::text[]))::double precision AS gqa_iterative_mean_x, + ((dataset.metadata #>> '{properties,gqa:iterative_mean_y}'::text[]))::double precision AS gqa_iterative_mean_y, + ((dataset.metadata #>> '{properties,gqa:iterative_mean_xy}'::text[]))::double precision AS gqa_iterative_mean_xy, + ((dataset.metadata #>> '{properties,gqa:iterative_stddev_x}'::text[]))::double precision AS gqa_iterative_stddev_x, + ((dataset.metadata #>> '{properties,gqa:iterative_stddev_y}'::text[]))::double precision AS gqa_iterative_stddev_y, + ((dataset.metadata #>> '{properties,gqa:iterative_stddev_xy}'::text[]))::double precision AS gqa_iterative_stddev_xy, + ((dataset.metadata #>> '{properties,gqa:abs_iterative_mean_x}'::text[]))::double precision AS gqa_abs_iterative_mean_x, + ((dataset.metadata #>> '{properties,gqa:abs_iterative_mean_y}'::text[]))::double precision AS gqa_abs_iterative_mean_y, + ((dataset.metadata #>> '{properties,gqa:abs_iterative_mean_xy}'::text[]))::double precision AS gqa_abs_iterative_mean_xy + FROM ((agdc.dataset + JOIN agdc.dataset_type ON ((dataset_type.id = dataset.dataset_type_ref))) + JOIN agdc.metadata_type ON ((metadata_type.id = dataset_type.metadata_type_ref))) + WHERE ((dataset.archived IS NULL) AND (dataset.dataset_type_ref = 4)); + + +ALTER TABLE agdc.dv_ga_ls9c_ard_3_dataset OWNER TO odcuser; + +-- +-- Name: dv_telemetry_dataset; Type: VIEW; Schema: agdc; Owner: odcuser -- CREATE VIEW agdc.dv_telemetry_dataset AS @@ -633,10 +926,10 @@ CREATE VIEW agdc.dv_telemetry_dataset AS WHERE ((dataset.archived IS NULL) AND (dataset.metadata_type_ref = 3)); -ALTER TABLE agdc.dv_telemetry_dataset OWNER TO localuser; +ALTER TABLE agdc.dv_telemetry_dataset OWNER TO odcuser; -- --- Name: metadata_type_id_seq; Type: SEQUENCE; Schema: agdc; Owner: agdc_admin +-- Name: metadata_type_id_seq; Type: SEQUENCE; Schema: agdc; Owner: odcuser -- CREATE SEQUENCE agdc.metadata_type_id_seq @@ -648,38 +941,38 @@ CREATE SEQUENCE agdc.metadata_type_id_seq CACHE 1; -ALTER TABLE agdc.metadata_type_id_seq OWNER TO agdc_admin; +ALTER TABLE agdc.metadata_type_id_seq OWNER TO odcuser; -- --- Name: metadata_type_id_seq; Type: SEQUENCE OWNED BY; Schema: agdc; Owner: agdc_admin +-- Name: metadata_type_id_seq; Type: SEQUENCE OWNED BY; Schema: agdc; Owner: odcuser -- ALTER SEQUENCE agdc.metadata_type_id_seq OWNED BY agdc.metadata_type.id; -- --- Name: dataset_location id; Type: DEFAULT; Schema: agdc; Owner: agdc_admin +-- Name: dataset_location id; Type: DEFAULT; Schema: agdc; Owner: odcuser -- ALTER TABLE ONLY agdc.dataset_location ALTER COLUMN id SET DEFAULT nextval('agdc.dataset_location_id_seq'::regclass); -- --- Name: dataset_type id; Type: DEFAULT; Schema: agdc; Owner: agdc_admin +-- Name: dataset_type id; Type: DEFAULT; Schema: agdc; Owner: odcuser -- ALTER TABLE ONLY agdc.dataset_type ALTER COLUMN id SET DEFAULT nextval('agdc.dataset_type_id_seq'::regclass); -- --- Name: metadata_type id; Type: DEFAULT; Schema: agdc; Owner: agdc_admin +-- Name: metadata_type id; Type: DEFAULT; Schema: agdc; Owner: odcuser -- ALTER TABLE ONLY agdc.metadata_type ALTER COLUMN id SET DEFAULT nextval('agdc.metadata_type_id_seq'::regclass); -- --- Data for Name: dataset; Type: TABLE DATA; Schema: agdc; Owner: agdc_admin +-- Data for Name: dataset; Type: TABLE DATA; Schema: agdc; Owner: odcuser -- COPY agdc.dataset (id, metadata_type_ref, dataset_type_ref, metadata, archived, added, added_by, updated) FROM stdin; @@ -1625,11 +1918,31 @@ da565a1b-73e7-425d-b642-523a27c5f099 4 3 {"id": "da565a1b-73e7-425d-b642-523a27c 8d032a77-da86-4ec5-b32e-cfd52e1543bb 4 3 {"id": "8d032a77-da86-4ec5-b32e-cfd52e1543bb", "crs": "epsg:32656", "grids": {"g15m": {"shape": [15501, 15381], "transform": [15.0, 0.0, 272092.5, 0.0, -15.0, -3555592.5, 0.0, 0.0, 1.0]}, "default": {"shape": [7751, 7691], "transform": [30.0, 0.0, 272085.0, 0.0, -30.0, -3555585.0, 0.0, 0.0, 1.0]}}, "label": "ga_ls8c_ard_3-2-1_089083_2022-03-03_final", "extent": {"lat": {"end": -32.1229893018535, "begin": -34.23209259915795}, "lon": {"end": 153.02701059111467, "begin": 150.5392069861442}}, "$schema": "https://schemas.opendatacube.org/dataset", "lineage": {"source_datasets": {}}, "product": {"name": "ga_ls8c_ard_3"}, "geometry": {"type": "Polygon", "coordinates": [[[272357.0, -3746764.0], [272296.0, -3746751.0], [272288.0, -3746675.0], [272453.0, -3745849.0], [274763.0, -3735184.0], [282758.0, -3698494.0], [305078.0, -3596869.0], [313568.0, -3558484.0], [314168.0, -3555889.0], [314212.0, -3555773.0], [314289.0, -3555773.0], [314295.0, -3555765.0], [415491.0, -3578020.0], [500906.0, -3596798.0], [501645.0, -3596967.0], [502446.0, -3597144.0], [502445.0, -3597151.0], [502537.0, -3597172.0], [502537.0, -3597251.0], [460927.0, -3787841.0], [460882.0, -3787972.0], [460788.0, -3787952.0], [460785.0, -3787965.0], [272355.0, -3746775.0], [272357.0, -3746764.0]]]}, "properties": {"title": "ga_ls8c_ard_3-2-1_089083_2022-03-03_final", "eo:gsd": 15.0, "created": "2022-03-30T14:07:03.932884Z", "datetime": "2022-03-03T23:43:43.831476Z", "gqa:abs_x": 1.43, "gqa:abs_y": 0.97, "gqa:cep90": 1.29, "proj:epsg": 32656, "fmask:snow": 0.016067912210770557, "gqa:abs_xy": 1.73, "gqa:mean_x": 1.01, "gqa:mean_y": 0.86, "proj:shape": [7751, 7691], "eo:platform": "landsat-8", "fmask:clear": 1.9685439718642992, "fmask:cloud": 66.05565609196277, "fmask:water": 23.95946528391754, "gqa:mean_xy": 1.33, "odc:product": "ga_ls8c_ard_3", "gqa:stddev_x": 2.69, "gqa:stddev_y": 1.21, "odc:producer": "ga.gov.au", "eo:instrument": "OLI_TIRS", "gqa:stddev_xy": 2.95, "eo:cloud_cover": 66.05565609196277, "eo:sun_azimuth": 58.66806293, "proj:transform": [30.0, 0.0, 272085.0, 0.0, -30.0, -3555585.0, 0.0, 0.0, 1.0], "landsat:wrs_row": 83, "odc:file_format": 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{"path": "ga_ls8c_nbart_3-2-1_089083_2022-03-03_final_thumbnail.jpg"}, "metadata:processor": {"path": "ga_ls8c_ard_3-2-1_089083_2022-03-03_final.proc-info.yaml"}}, "grid_spatial": {"projection": {"valid_data": {"type": "Polygon", "coordinates": [[[272357.0, -3746764.0], [272296.0, -3746751.0], [272288.0, -3746675.0], [272453.0, -3745849.0], [274763.0, -3735184.0], [282758.0, -3698494.0], [305078.0, -3596869.0], [313568.0, -3558484.0], [314168.0, -3555889.0], [314212.0, -3555773.0], [314289.0, -3555773.0], [314295.0, -3555765.0], [415491.0, -3578020.0], [500906.0, -3596798.0], [501645.0, -3596967.0], [502446.0, -3597144.0], [502445.0, -3597151.0], [502537.0, -3597172.0], [502537.0, -3597251.0], [460927.0, -3787841.0], [460882.0, -3787972.0], [460788.0, -3787952.0], [460785.0, -3787965.0], [272355.0, -3746775.0], [272357.0, -3746764.0]]]}, "geo_ref_points": {"ll": {"x": 272085.0, "y": -3788115.0}, "lr": {"x": 502815.0, "y": -3788115.0}, "ul": {"x": 272085.0, "y": -3555585.0}, "ur": {"x": 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"ga_ls8c_oa_3-2-1_089083_2022-03-03_final_solar-azimuth.tif"}, "oa_incident_angle": {"path": "ga_ls8c_oa_3-2-1_089083_2022-03-03_final_incident-angle.tif"}, "oa_relative_slope": {"path": "ga_ls8c_oa_3-2-1_089083_2022-03-03_final_relative-slope.tif"}, "oa_satellite_view": {"path": "ga_ls8c_oa_3-2-1_089083_2022-03-03_final_satellite-view.tif"}, "nbart_panchromatic": {"grid": "g15m", "path": "ga_ls8c_nbart_3-2-1_089083_2022-03-03_final_band08.tif"}, "oa_nbart_contiguity": {"path": "ga_ls8c_oa_3-2-1_089083_2022-03-03_final_nbart-contiguity.tif"}, "oa_relative_azimuth": {"path": "ga_ls8c_oa_3-2-1_089083_2022-03-03_final_relative-azimuth.tif"}, "oa_azimuthal_exiting": {"path": "ga_ls8c_oa_3-2-1_089083_2022-03-03_final_azimuthal-exiting.tif"}, "oa_satellite_azimuth": {"path": "ga_ls8c_oa_3-2-1_089083_2022-03-03_final_satellite-azimuth.tif"}, "nbart_coastal_aerosol": {"path": "ga_ls8c_nbart_3-2-1_089083_2022-03-03_final_band01.tif"}, "oa_azimuthal_incident": {"path": 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"eo:cloud_cover": 42.70316552971587, "eo:sun_azimuth": 54.95496457, "landsat:wrs_row": 83, "odc:file_format": "GeoTIFF", "odc:region_code": "089083", "dtr:end_datetime": "2022-03-11T23:43:59.501817+00:00", "eo:sun_elevation": 45.98765108, "landsat:wrs_path": 89, "dtr:start_datetime": "2022-03-11T23:43:30.160998+00:00", "fmask:cloud_shadow": 4.310975418891941, "odc:product_family": "ard", "odc:dataset_version": "3.2.1", "dea:dataset_maturity": "final", "dea:product_maturity": "stable", "gqa:iterative_mean_x": -0.09, "gqa:iterative_mean_y": 0.14, "gqa:iterative_mean_xy": 0.17, "gqa:iterative_stddev_x": 0.29, "gqa:iterative_stddev_y": 0.29, "gqa:iterative_stddev_xy": 0.41, "odc:processing_datetime": "2022-10-12T03:31:51.624649+00:00", "gqa:abs_iterative_mean_x": 0.2, "gqa:abs_iterative_mean_y": 0.23, "landsat:landsat_scene_id": "LC90890832022070LGN00", "gqa:abs_iterative_mean_xy": 0.31, "landsat:collection_number": 2, "landsat:landsat_product_id": "LC09_L1TP_089083_20220311_20220312_02_T1", "landsat:collection_category": "T1"}, "accessories": {"checksum:sha1": {"path": "ga_ls9c_ard_3-2-1_089083_2022-03-11_final.sha1"}, "thumbnail:nbar": {"path": "ga_ls9c_nbar_3-2-1_089083_2022-03-11_final_thumbnail.jpg"}, "thumbnail:nbart": {"path": "ga_ls9c_nbart_3-2-1_089083_2022-03-11_final_thumbnail.jpg"}, "metadata:processor": {"path": "ga_ls9c_ard_3-2-1_089083_2022-03-11_final.proc-info.yaml"}}, "grid_spatial": {"projection": {"valid_data": {"type": "Polygon", "coordinates": [[[272280.94074810756, -3746854.4921500864], [272224.24604313273, -3746842.1428059028], [272167.5, -3746812.5], [272362.83946054964, -3745819.326896941], [273547.84272833075, -3740344.3118363884], [282712.845468596, -3698314.299264252], [291952.84976215975, -3656239.279669082], [304957.85396931565, -3597079.260588758], [313597.85719409725, -3558019.2460431326], [314092.9478624978, -3555903.8619656246], [314137.5, -3555817.5], [314222.64387625206, -3555836.0926765027], [314235.0, -3555825.0], [500151.41090636415, -3596415.692999478], [502072.2760687511, -3596835.8957249955], [502205.80690919346, -3596887.0214028084], [502345.75395686727, -3596917.8571940972], [502402.5, -3596947.5], [460715.916407865, -3787769.2082039323], [460579.357063669, -3787762.167036211], [460496.10654276254, -3787744.112707905], [460299.1165159459, -3787724.417420271], [458078.63121462695, -3787244.3161827815], [272281.583592135, -3746861.83281573], [272280.94074810756, -3746854.4921500864]]]}, "geo_ref_points": {"ll": {"x": 271785.0, "y": -3787815.0}, "lr": {"x": 502515.0, "y": -3787815.0}, "ul": {"x": 271785.0, "y": -3555585.0}, "ur": {"x": 502515.0, "y": -3555585.0}}, "spatial_reference": "epsg:32656"}}, "measurements": {"nbar_nir": {"path": "ga_ls9c_nbar_3-2-1_089083_2022-03-11_final_band05.tif"}, "nbar_red": {"path": "ga_ls9c_nbar_3-2-1_089083_2022-03-11_final_band04.tif"}, "oa_fmask": {"path": "ga_ls9c_oa_3-2-1_089083_2022-03-11_final_fmask.tif"}, "nbar_blue": {"path": "ga_ls9c_nbar_3-2-1_089083_2022-03-11_final_band02.tif"}, "nbart_nir": {"path": "ga_ls9c_nbart_3-2-1_089083_2022-03-11_final_band05.tif"}, "nbart_red": {"path": "ga_ls9c_nbart_3-2-1_089083_2022-03-11_final_band04.tif"}, "nbar_green": {"path": "ga_ls9c_nbar_3-2-1_089083_2022-03-11_final_band03.tif"}, "nbart_blue": {"path": "ga_ls9c_nbart_3-2-1_089083_2022-03-11_final_band02.tif"}, "nbar_swir_1": {"path": "ga_ls9c_nbar_3-2-1_089083_2022-03-11_final_band06.tif"}, "nbar_swir_2": {"path": "ga_ls9c_nbar_3-2-1_089083_2022-03-11_final_band07.tif"}, "nbart_green": {"path": "ga_ls9c_nbart_3-2-1_089083_2022-03-11_final_band03.tif"}, "nbart_swir_1": {"path": "ga_ls9c_nbart_3-2-1_089083_2022-03-11_final_band06.tif"}, "nbart_swir_2": {"path": "ga_ls9c_nbart_3-2-1_089083_2022-03-11_final_band07.tif"}, "oa_time_delta": {"path": "ga_ls9c_oa_3-2-1_089083_2022-03-11_final_time-delta.tif"}, "oa_solar_zenith": {"path": "ga_ls9c_oa_3-2-1_089083_2022-03-11_final_solar-zenith.tif"}, "oa_exiting_angle": {"path": "ga_ls9c_oa_3-2-1_089083_2022-03-11_final_exiting-angle.tif"}, "oa_solar_azimuth": {"path": "ga_ls9c_oa_3-2-1_089083_2022-03-11_final_solar-azimuth.tif"}, "nbar_panchromatic": {"grid": "panchromatic", "path": "ga_ls9c_nbar_3-2-1_089083_2022-03-11_final_band08.tif"}, "oa_incident_angle": {"path": "ga_ls9c_oa_3-2-1_089083_2022-03-11_final_incident-angle.tif"}, "oa_relative_slope": {"path": "ga_ls9c_oa_3-2-1_089083_2022-03-11_final_relative-slope.tif"}, "oa_satellite_view": {"path": "ga_ls9c_oa_3-2-1_089083_2022-03-11_final_satellite-view.tif"}, "nbart_panchromatic": {"grid": "panchromatic", "path": "ga_ls9c_nbart_3-2-1_089083_2022-03-11_final_band08.tif"}, "oa_nbar_contiguity": {"path": "ga_ls9c_oa_3-2-1_089083_2022-03-11_final_nbar-contiguity.tif"}, "oa_nbart_contiguity": {"path": "ga_ls9c_oa_3-2-1_089083_2022-03-11_final_nbart-contiguity.tif"}, "oa_relative_azimuth": {"path": "ga_ls9c_oa_3-2-1_089083_2022-03-11_final_relative-azimuth.tif"}, "nbar_coastal_aerosol": {"path": "ga_ls9c_nbar_3-2-1_089083_2022-03-11_final_band01.tif"}, "oa_azimuthal_exiting": {"path": "ga_ls9c_oa_3-2-1_089083_2022-03-11_final_azimuthal-exiting.tif"}, "oa_satellite_azimuth": {"path": "ga_ls9c_oa_3-2-1_089083_2022-03-11_final_satellite-azimuth.tif"}, "nbart_coastal_aerosol": {"path": "ga_ls9c_nbart_3-2-1_089083_2022-03-11_final_band01.tif"}, "oa_azimuthal_incident": {"path": "ga_ls9c_oa_3-2-1_089083_2022-03-11_final_azimuthal-incident.tif"}, "oa_combined_terrain_shadow": {"path": "ga_ls9c_oa_3-2-1_089083_2022-03-11_final_combined-terrain-shadow.tif"}}} \N 2022-11-08 03:02:42.903197+00 odcuser \N \. -- --- Data for Name: dataset_location; Type: TABLE DATA; Schema: agdc; Owner: agdc_admin +-- Data for Name: dataset_location; Type: TABLE DATA; Schema: agdc; Owner: odcuser -- COPY agdc.dataset_location (id, dataset_ref, uri_scheme, uri_body, added, added_by, archived) FROM stdin; @@ -2575,11 +2888,31 @@ COPY agdc.dataset_location (id, dataset_ref, uri_scheme, uri_body, added, added_ 940 8d032a77-da86-4ec5-b32e-cfd52e1543bb s3 //dea-public-data/baseline/ga_ls8c_ard_3/089/083/2022/03/03/ga_ls8c_ard_3-2-1_089083_2022-03-03_final.stac-item.json 2022-09-09 00:01:23.612585+00 localuser \N 941 2052d3b4-cff5-4b98-8af2-8215930df176 s3 //dea-public-data/baseline/ga_ls8c_ard_3/089/083/2022/02/15/ga_ls8c_ard_3-2-1_089083_2022-02-15_final.stac-item.json 2022-09-09 00:01:23.624762+00 localuser \N 942 08058df8-371a-4e0e-b26e-d33c3f6731cb s3 //dea-public-data/baseline/ga_ls8c_ard_3/089/083/2021/05/19/ga_ls8c_ard_3-2-0_089083_2021-05-19_final.stac-item.json 2022-09-09 00:01:23.63689+00 localuser \N +943 70336d0b-2d9f-4c42-840f-515b7021c8c7 s3 //dea-public-data/baseline/ga_ls9c_ard_3/089/083/2021/12/05/ga_ls9c_ard_3-2-1_089083_2021-12-05_final.odc-metadata.yaml 2022-11-08 03:02:42.731718+00 odcuser \N +944 ea69faae-0900-4940-9718-3665fad029ee s3 //dea-public-data/baseline/ga_ls9c_ard_3/089/083/2022/01/22/ga_ls9c_ard_3-2-1_089083_2022-01-22_final.odc-metadata.yaml 2022-11-08 03:02:42.744734+00 odcuser \N +945 57d197db-c3ea-40d0-87ff-2ff67ddccbd2 s3 //dea-public-data/baseline/ga_ls9c_ard_3/089/083/2022/04/28/ga_ls9c_ard_3-2-1_089083_2022-04-28_final.odc-metadata.yaml 2022-11-08 03:02:42.761596+00 odcuser \N +946 ff4a7f5d-2a2d-477b-9827-0e5b6a34fe75 s3 //dea-public-data/baseline/ga_ls9c_ard_3/089/083/2022/02/23/ga_ls9c_ard_3-2-1_089083_2022-02-23_final.odc-metadata.yaml 2022-11-08 03:02:42.770353+00 odcuser \N +947 1b230567-aa83-4177-a482-330916ee68b6 s3 //dea-public-data/baseline/ga_ls9c_ard_3/089/083/2022/04/12/ga_ls9c_ard_3-2-1_089083_2022-04-12_final.odc-metadata.yaml 2022-11-08 03:02:42.779854+00 odcuser \N +948 de49adaf-5412-4638-ac27-402448a2fe1b s3 //dea-public-data/baseline/ga_ls9c_ard_3/089/083/2022/03/27/ga_ls9c_ard_3-2-1_089083_2022-03-27_final.odc-metadata.yaml 2022-11-08 03:02:42.790918+00 odcuser \N +949 15f5150e-3d0d-4911-aa5e-b63b35e7c2e7 s3 //dea-public-data/baseline/ga_ls9c_ard_3/089/083/2022/02/07/ga_ls9c_ard_3-2-1_089083_2022-02-07_final.odc-metadata.yaml 2022-11-08 03:02:42.800217+00 odcuser \N +950 6f95a6d9-28a5-452f-a034-9ddb72d24871 s3 //dea-public-data/baseline/ga_ls9c_ard_3/089/083/2022/01/06/ga_ls9c_ard_3-2-1_089083_2022-01-06_final.odc-metadata.yaml 2022-11-08 03:02:42.808495+00 odcuser \N +951 2455937d-74e8-4019-a0e4-e88417f7ac4d s3 //dea-public-data/baseline/ga_ls9c_ard_3/089/083/2021/12/21/ga_ls9c_ard_3-2-1_089083_2021-12-21_final.odc-metadata.yaml 2022-11-08 03:02:42.816642+00 odcuser \N +952 ca3bc105-5368-4cfb-8530-1104906e20f9 s3 //dea-public-data/baseline/ga_ls9c_ard_3/089/083/2022/07/17/ga_ls9c_ard_3-2-1_089083_2022-07-17_final.odc-metadata.yaml 2022-11-08 03:02:42.824646+00 odcuser \N +953 7a157161-0180-425c-8651-fafa60fdc944 s3 //dea-public-data/baseline/ga_ls9c_ard_3/089/083/2022/05/14/ga_ls9c_ard_3-2-1_089083_2022-05-14_final.odc-metadata.yaml 2022-11-08 03:02:42.832618+00 odcuser \N +954 a9a00b5a-f763-4b43-9a9b-bc0c11237cb9 s3 //dea-public-data/baseline/ga_ls9c_ard_3/089/083/2022/06/15/ga_ls9c_ard_3-2-1_089083_2022-06-15_final.odc-metadata.yaml 2022-11-08 03:02:42.840536+00 odcuser \N +955 f615455c-5f45-4df6-97ea-40f0fe4f932b s3 //dea-public-data/baseline/ga_ls9c_ard_3/089/083/2022/08/18/ga_ls9c_ard_3-2-1_089083_2022-08-18_final.odc-metadata.yaml 2022-11-08 03:02:42.84829+00 odcuser \N +956 7cec40be-736d-4387-b3f6-5565f6cf57c6 s3 //dea-public-data/baseline/ga_ls9c_ard_3/089/083/2022/08/02/ga_ls9c_ard_3-2-1_089083_2022-08-02_final.odc-metadata.yaml 2022-11-08 03:02:42.85603+00 odcuser \N +957 0872a08c-b262-4104-8ffb-b5c197f98bf0 s3 //dea-public-data/baseline/ga_ls9c_ard_3/089/083/2022/10/05/ga_ls9c_ard_3-2-1_089083_2022-10-05_final.odc-metadata.yaml 2022-11-08 03:02:42.863896+00 odcuser \N +958 18c3d875-326a-4540-b04a-1faa56bca383 s3 //dea-public-data/baseline/ga_ls9c_ard_3/089/083/2022/09/19/ga_ls9c_ard_3-2-1_089083_2022-09-19_final.odc-metadata.yaml 2022-11-08 03:02:42.871617+00 odcuser \N +959 d26f05bb-6619-4cb3-94b0-37079412f687 s3 //dea-public-data/baseline/ga_ls9c_ard_3/089/083/2022/07/01/ga_ls9c_ard_3-2-1_089083_2022-07-01_final.odc-metadata.yaml 2022-11-08 03:02:42.87943+00 odcuser \N +960 0ddeb9c8-9d52-442a-8060-d0075f00fb1c s3 //dea-public-data/baseline/ga_ls9c_ard_3/089/083/2022/09/03/ga_ls9c_ard_3-2-1_089083_2022-09-03_final.odc-metadata.yaml 2022-11-08 03:02:42.887248+00 odcuser \N +961 f960765c-94e4-4f22-a647-12f60bebd96d s3 //dea-public-data/baseline/ga_ls9c_ard_3/089/083/2022/05/30/ga_ls9c_ard_3-2-1_089083_2022-05-30_final.odc-metadata.yaml 2022-11-08 03:02:42.895032+00 odcuser \N +962 e63c05be-04e7-44db-b1de-804c30695371 s3 //dea-public-data/baseline/ga_ls9c_ard_3/089/083/2022/03/11/ga_ls9c_ard_3-2-1_089083_2022-03-11_final.odc-metadata.yaml 2022-11-08 03:02:42.903197+00 odcuser \N \. -- --- Data for Name: dataset_source; Type: TABLE DATA; Schema: agdc; Owner: agdc_admin +-- Data for Name: dataset_source; Type: TABLE DATA; Schema: agdc; Owner: odcuser -- COPY agdc.dataset_source (dataset_ref, classifier, source_dataset_ref) FROM stdin; @@ -2587,18 +2920,19 @@ COPY agdc.dataset_source (dataset_ref, classifier, source_dataset_ref) FROM stdi -- --- Data for Name: dataset_type; Type: TABLE DATA; Schema: agdc; Owner: agdc_admin +-- Data for Name: dataset_type; Type: TABLE DATA; Schema: agdc; Owner: odcuser -- COPY agdc.dataset_type (id, name, metadata, metadata_type_ref, definition, added, added_by, updated) FROM stdin; 1 ga_ls5t_ard_3 {"product": {"name": "ga_ls5t_ard_3"}, "properties": {"eo:platform": "landsat-5", "odc:producer": "ga.gov.au", "eo:instrument": "TM", "odc:product_family": "ard"}} 4 {"name": "ga_ls5t_ard_3", "license": "CC-BY-4.0", "metadata": {"product": {"name": "ga_ls5t_ard_3"}, "properties": {"eo:platform": "landsat-5", "odc:producer": "ga.gov.au", "eo:instrument": "TM", "odc:product_family": "ard"}}, "description": "Geoscience Australia Landsat 5 Thematic Mapper Analysis Ready Data Collection 3", "measurements": [{"name": "nbart_blue", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band01", "blue"]}, {"name": "nbart_green", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band02", "green"]}, {"name": "nbart_red", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band03", "red"]}, {"name": "nbart_nir", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band04", "nir"]}, {"name": "nbart_swir_1", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band05", "swir_1", "swir1"]}, {"name": "nbart_swir_2", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band07", "swir_2", "swir2"]}, {"name": "oa_fmask", "dtype": "uint8", "units": "1", "nodata": 0, "aliases": ["fmask"], "flags_definition": {"fmask": {"bits": [0, 1, 2, 3, 4, 5, 6, 7], "values": {"0": "nodata", "1": "valid", "2": "cloud", "3": "shadow", "4": "snow", "5": "water"}, "description": "Fmask"}}}, {"name": "oa_nbart_contiguity", "dtype": "uint8", "units": "1", "nodata": 255, "aliases": ["nbart_contiguity"], "flags_definition": {"contiguous": {"bits": [0], "values": {"0": false, "1": true}}}}, {"name": "oa_azimuthal_exiting", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["azimuthal_exiting"]}, {"name": "oa_azimuthal_incident", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["azimuthal_incident"]}, {"name": "oa_combined_terrain_shadow", "dtype": "uint8", "units": "1", "nodata": 255, "aliases": ["combined_terrain_shadow"]}, {"name": "oa_exiting_angle", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["exiting_angle"]}, {"name": "oa_incident_angle", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["incident_angle"]}, {"name": "oa_relative_azimuth", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["relative_azimuth"]}, {"name": "oa_relative_slope", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["relative_slope"]}, {"name": "oa_satellite_azimuth", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["satellite_azimuth"]}, {"name": "oa_satellite_view", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["satellite_view"]}, {"name": "oa_solar_azimuth", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["solar_azimuth"]}, {"name": "oa_solar_zenith", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["solar_zenith"]}, {"name": "oa_time_delta", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["time_delta"]}], "metadata_type": "eo3_landsat_ard"} 2022-09-08 23:59:29.76661+00 localuser \N 2 ga_ls7e_ard_3 {"product": {"name": "ga_ls7e_ard_3"}, "properties": {"eo:platform": "landsat-7", "odc:producer": "ga.gov.au", "eo:instrument": "ETM", "odc:product_family": "ard"}} 4 {"name": "ga_ls7e_ard_3", "license": "CC-BY-4.0", "metadata": {"product": {"name": "ga_ls7e_ard_3"}, "properties": {"eo:platform": "landsat-7", "odc:producer": "ga.gov.au", "eo:instrument": "ETM", "odc:product_family": "ard"}}, "description": "Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3", "measurements": [{"name": "nbart_blue", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band01", "blue"]}, {"name": "nbart_green", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band02", "green"]}, {"name": "nbart_red", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band03", "red"]}, {"name": "nbart_nir", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band04", "nir"]}, {"name": "nbart_swir_1", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band05", "swir_1", "swir1"]}, {"name": "nbart_swir_2", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band07", "swir_2", "swir2"]}, {"name": "nbart_panchromatic", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band08", "panchromatic"]}, {"name": "oa_fmask", "dtype": "uint8", "units": "1", "nodata": 0, "aliases": ["fmask"], "flags_definition": {"fmask": {"bits": [0, 1, 2, 3, 4, 5, 6, 7], "values": {"0": "nodata", "1": "valid", "2": "cloud", "3": "shadow", "4": "snow", "5": "water"}, "description": "Fmask"}}}, {"name": "oa_nbart_contiguity", "dtype": "uint8", "units": "1", "nodata": 255, "aliases": ["nbart_contiguity"], "flags_definition": {"contiguous": {"bits": [0], "values": {"0": false, "1": true}}}}, {"name": "oa_azimuthal_exiting", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["azimuthal_exiting"]}, {"name": "oa_azimuthal_incident", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["azimuthal_incident"]}, {"name": "oa_combined_terrain_shadow", "dtype": "uint8", "units": "1", "nodata": 255, "aliases": ["combined_terrain_shadow"]}, {"name": "oa_exiting_angle", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["exiting_angle"]}, {"name": "oa_incident_angle", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["incident_angle"]}, {"name": "oa_relative_azimuth", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["relative_azimuth"]}, {"name": "oa_relative_slope", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["relative_slope"]}, {"name": "oa_satellite_azimuth", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["satellite_azimuth"]}, {"name": "oa_satellite_view", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["satellite_view"]}, {"name": "oa_solar_azimuth", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["solar_azimuth"]}, {"name": "oa_solar_zenith", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["solar_zenith"]}, {"name": "oa_time_delta", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["time_delta"]}], "metadata_type": "eo3_landsat_ard"} 2022-09-09 00:00:24.571791+00 localuser \N 3 ga_ls8c_ard_3 {"product": {"name": "ga_ls8c_ard_3"}, "properties": {"eo:platform": "landsat-8", "odc:producer": "ga.gov.au", "eo:instrument": "OLI_TIRS", "odc:product_family": "ard"}} 4 {"name": "ga_ls8c_ard_3", "license": "CC-BY-4.0", "metadata": {"product": {"name": "ga_ls8c_ard_3"}, "properties": {"eo:platform": "landsat-8", "odc:producer": "ga.gov.au", "eo:instrument": "OLI_TIRS", "odc:product_family": "ard"}}, "description": "Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3", "measurements": [{"name": "nbart_coastal_aerosol", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band01", "coastal_aerosol"]}, {"name": "nbart_blue", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band02", "blue"]}, {"name": "nbart_green", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band03", "green"]}, {"name": "nbart_red", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band04", "red"]}, {"name": "nbart_nir", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band05", "nir"]}, {"name": "nbart_swir_1", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band06", "swir_1", "swir1"]}, {"name": "nbart_swir_2", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band07", "swir_2", "swir2"]}, {"name": "nbart_panchromatic", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band08", "panchromatic"]}, {"name": "oa_fmask", "dtype": "uint8", "units": "1", "nodata": 0, "aliases": ["fmask"], "flags_definition": {"fmask": {"bits": [0, 1, 2, 3, 4, 5, 6, 7], "values": {"0": "nodata", "1": "valid", "2": "cloud", "3": "shadow", "4": "snow", "5": "water"}, "description": "Fmask"}}}, {"name": "oa_nbart_contiguity", "dtype": "uint8", "units": "1", "nodata": 255, "aliases": ["nbart_contiguity"], "flags_definition": {"contiguous": {"bits": [0], "values": {"0": false, "1": true}}}}, {"name": "oa_azimuthal_exiting", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["azimuthal_exiting"]}, {"name": "oa_azimuthal_incident", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["azimuthal_incident"]}, {"name": "oa_combined_terrain_shadow", "dtype": "uint8", "units": "1", "nodata": 255, "aliases": ["combined_terrain_shadow"]}, {"name": "oa_exiting_angle", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["exiting_angle"]}, {"name": "oa_incident_angle", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["incident_angle"]}, {"name": "oa_relative_azimuth", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["relative_azimuth"]}, {"name": "oa_relative_slope", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["relative_slope"]}, {"name": "oa_satellite_azimuth", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["satellite_azimuth"]}, {"name": "oa_satellite_view", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["satellite_view"]}, {"name": "oa_solar_azimuth", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["solar_azimuth"]}, {"name": "oa_solar_zenith", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["solar_zenith"]}, {"name": "oa_time_delta", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["time_delta"]}], "metadata_type": "eo3_landsat_ard"} 2022-09-09 00:00:55.740252+00 localuser \N +4 ga_ls9c_ard_3 {"product": {"name": "ga_ls9c_ard_3"}, "properties": {"eo:platform": "landsat-9", "odc:producer": "ga.gov.au", "eo:instrument": "OLI_TIRS", "odc:product_family": "ard"}} 4 {"name": "ga_ls9c_ard_3", "license": "CC-BY-4.0", "metadata": {"product": {"name": "ga_ls9c_ard_3"}, "properties": {"eo:platform": "landsat-9", "odc:producer": "ga.gov.au", "eo:instrument": "OLI_TIRS", "odc:product_family": "ard"}}, "description": "Geoscience Australia Landsat 9 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3", "measurements": [{"name": "nbart_coastal_aerosol", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band01", "coastal_aerosol"]}, {"name": "nbart_blue", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band02", "blue"]}, {"name": "nbart_green", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band03", "green"]}, {"name": "nbart_red", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band04", "red"]}, {"name": "nbart_nir", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band05", "nir"]}, {"name": "nbart_swir_1", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band06", "swir_1", "swir1"]}, {"name": "nbart_swir_2", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band07", "swir_2", "swir2"]}, {"name": "nbart_panchromatic", "dtype": "int16", "units": "1", "nodata": -999, "aliases": ["nbart_band08", "panchromatic"]}, {"name": "oa_fmask", "dtype": "uint8", "units": "1", "nodata": 0, "aliases": ["fmask"], "flags_definition": {"fmask": {"bits": [0, 1, 2, 3, 4, 5, 6, 7], "values": {"0": "nodata", "1": "valid", "2": "cloud", "3": "shadow", "4": "snow", "5": "water"}, "description": "Fmask"}}}, {"name": "oa_nbart_contiguity", "dtype": "uint8", "units": "1", "nodata": 255, "aliases": ["nbart_contiguity"], "flags_definition": {"contiguous": {"bits": [0], "values": {"0": false, "1": true}}}}, {"name": "oa_azimuthal_exiting", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["azimuthal_exiting"]}, {"name": "oa_azimuthal_incident", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["azimuthal_incident"]}, {"name": "oa_combined_terrain_shadow", "dtype": "uint8", "units": "1", "nodata": 255, "aliases": ["combined_terrain_shadow"]}, {"name": "oa_exiting_angle", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["exiting_angle"]}, {"name": "oa_incident_angle", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["incident_angle"]}, {"name": "oa_relative_azimuth", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["relative_azimuth"]}, {"name": "oa_relative_slope", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["relative_slope"]}, {"name": "oa_satellite_azimuth", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["satellite_azimuth"]}, {"name": "oa_satellite_view", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["satellite_view"]}, {"name": "oa_solar_azimuth", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["solar_azimuth"]}, {"name": "oa_solar_zenith", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["solar_zenith"]}, {"name": "oa_time_delta", "dtype": "float32", "units": "1", "nodata": "NaN", "aliases": ["time_delta"]}], "metadata_type": "eo3_landsat_ard"} 2022-11-08 02:58:14.43762+00 odcuser \N \. -- --- Data for Name: metadata_type; Type: TABLE DATA; Schema: agdc; Owner: agdc_admin +-- Data for Name: metadata_type; Type: TABLE DATA; Schema: agdc; Owner: odcuser -- COPY agdc.metadata_type (id, name, definition, added, added_by, updated) FROM stdin; @@ -2610,7 +2944,23 @@ COPY agdc.metadata_type (id, name, definition, added, added_by, updated) FROM st -- --- Data for Name: spatial_ref_sys; Type: TABLE DATA; Schema: public; Owner: localuser +-- Data for Name: job; Type: TABLE DATA; Schema: cron; Owner: postgres +-- + +COPY cron.job (jobid, schedule, command, nodename, nodeport, database, username, active, jobname) FROM stdin; +\. + + +-- +-- Data for Name: job_run_details; Type: TABLE DATA; Schema: cron; Owner: postgres +-- + +COPY cron.job_run_details (jobid, runid, job_pid, database, username, command, status, return_message, start_time, end_time) FROM stdin; +\. + + +-- +-- Data for Name: spatial_ref_sys; Type: TABLE DATA; Schema: public; Owner: postgres -- COPY public.spatial_ref_sys (srid, auth_name, auth_srid, srtext, proj4text) FROM stdin; @@ -2618,7 +2968,7 @@ COPY public.spatial_ref_sys (srid, auth_name, auth_srid, srtext, proj4text) FROM -- --- Data for Name: geocode_settings; Type: TABLE DATA; Schema: tiger; Owner: localuser +-- Data for Name: geocode_settings; Type: TABLE DATA; Schema: tiger; Owner: odcuser -- COPY tiger.geocode_settings (name, setting, unit, category, short_desc) FROM stdin; @@ -2626,7 +2976,7 @@ COPY tiger.geocode_settings (name, setting, unit, category, short_desc) FROM std -- --- Data for Name: pagc_gaz; Type: TABLE DATA; Schema: tiger; Owner: localuser +-- Data for Name: pagc_gaz; Type: TABLE DATA; Schema: tiger; Owner: odcuser -- COPY tiger.pagc_gaz (id, seq, word, stdword, token, is_custom) FROM stdin; @@ -2634,7 +2984,7 @@ COPY tiger.pagc_gaz (id, seq, word, stdword, token, is_custom) FROM stdin; -- --- Data for Name: pagc_lex; Type: TABLE DATA; Schema: tiger; Owner: localuser +-- Data for Name: pagc_lex; Type: TABLE DATA; Schema: tiger; Owner: odcuser -- COPY tiger.pagc_lex (id, seq, word, stdword, token, is_custom) FROM stdin; @@ -2642,7 +2992,7 @@ COPY tiger.pagc_lex (id, seq, word, stdword, token, is_custom) FROM stdin; -- --- Data for Name: pagc_rules; Type: TABLE DATA; Schema: tiger; Owner: localuser +-- Data for Name: pagc_rules; Type: TABLE DATA; Schema: tiger; Owner: odcuser -- COPY tiger.pagc_rules (id, rule, is_custom) FROM stdin; @@ -2650,7 +3000,7 @@ COPY tiger.pagc_rules (id, rule, is_custom) FROM stdin; -- --- Data for Name: topology; Type: TABLE DATA; Schema: topology; Owner: localuser +-- Data for Name: topology; Type: TABLE DATA; Schema: topology; Owner: postgres -- COPY topology.topology (id, name, srid, "precision", hasz) FROM stdin; @@ -2658,7 +3008,7 @@ COPY topology.topology (id, name, srid, "precision", hasz) FROM stdin; -- --- Data for Name: layer; Type: TABLE DATA; Schema: topology; Owner: localuser +-- Data for Name: layer; Type: TABLE DATA; Schema: topology; Owner: postgres -- COPY topology.layer (topology_id, layer_id, schema_name, table_name, feature_column, feature_type, level, child_id) FROM stdin; @@ -2666,28 +3016,42 @@ COPY topology.layer (topology_id, layer_id, schema_name, table_name, feature_col -- --- Name: dataset_location_id_seq; Type: SEQUENCE SET; Schema: agdc; Owner: agdc_admin +-- Name: dataset_location_id_seq; Type: SEQUENCE SET; Schema: agdc; Owner: odcuser -- -SELECT pg_catalog.setval('agdc.dataset_location_id_seq', 942, true); +SELECT pg_catalog.setval('agdc.dataset_location_id_seq', 962, true); -- --- Name: dataset_type_id_seq; Type: SEQUENCE SET; Schema: agdc; Owner: agdc_admin +-- Name: dataset_type_id_seq; Type: SEQUENCE SET; Schema: agdc; Owner: odcuser -- -SELECT pg_catalog.setval('agdc.dataset_type_id_seq', 3, true); +SELECT pg_catalog.setval('agdc.dataset_type_id_seq', 4, true); -- --- Name: metadata_type_id_seq; Type: SEQUENCE SET; Schema: agdc; Owner: agdc_admin +-- Name: metadata_type_id_seq; Type: SEQUENCE SET; Schema: agdc; Owner: odcuser -- SELECT pg_catalog.setval('agdc.metadata_type_id_seq', 4, true); -- --- Name: dataset pk_dataset; Type: CONSTRAINT; Schema: agdc; Owner: agdc_admin +-- Name: jobid_seq; Type: SEQUENCE SET; Schema: cron; Owner: postgres +-- + +SELECT pg_catalog.setval('cron.jobid_seq', 1, false); + + +-- +-- Name: runid_seq; Type: SEQUENCE SET; Schema: cron; Owner: postgres +-- + +SELECT pg_catalog.setval('cron.runid_seq', 1, false); + + +-- +-- Name: dataset pk_dataset; Type: CONSTRAINT; Schema: agdc; Owner: odcuser -- ALTER TABLE ONLY agdc.dataset @@ -2695,7 +3059,7 @@ ALTER TABLE ONLY agdc.dataset -- --- Name: dataset_location pk_dataset_location; Type: CONSTRAINT; Schema: agdc; Owner: agdc_admin +-- Name: dataset_location pk_dataset_location; Type: CONSTRAINT; Schema: agdc; Owner: odcuser -- ALTER TABLE ONLY agdc.dataset_location @@ -2703,7 +3067,7 @@ ALTER TABLE ONLY agdc.dataset_location -- --- Name: dataset_source pk_dataset_source; Type: CONSTRAINT; Schema: agdc; Owner: agdc_admin +-- Name: dataset_source pk_dataset_source; Type: CONSTRAINT; Schema: agdc; Owner: odcuser -- ALTER TABLE ONLY agdc.dataset_source @@ -2711,7 +3075,7 @@ ALTER TABLE ONLY agdc.dataset_source -- --- Name: dataset_type pk_dataset_type; Type: CONSTRAINT; Schema: agdc; Owner: agdc_admin +-- Name: dataset_type pk_dataset_type; Type: CONSTRAINT; Schema: agdc; Owner: odcuser -- ALTER TABLE ONLY agdc.dataset_type @@ -2719,7 +3083,7 @@ ALTER TABLE ONLY agdc.dataset_type -- --- Name: metadata_type pk_metadata_type; Type: CONSTRAINT; Schema: agdc; Owner: agdc_admin +-- Name: metadata_type pk_metadata_type; Type: CONSTRAINT; Schema: agdc; Owner: odcuser -- ALTER TABLE ONLY agdc.metadata_type @@ -2727,7 +3091,7 @@ ALTER TABLE ONLY agdc.metadata_type -- --- Name: dataset_location uq_dataset_location_uri_scheme; Type: CONSTRAINT; Schema: agdc; Owner: agdc_admin +-- Name: dataset_location uq_dataset_location_uri_scheme; Type: CONSTRAINT; Schema: agdc; Owner: odcuser -- ALTER TABLE ONLY agdc.dataset_location @@ -2735,7 +3099,7 @@ ALTER TABLE ONLY agdc.dataset_location -- --- Name: dataset_source uq_dataset_source_source_dataset_ref; Type: CONSTRAINT; Schema: agdc; Owner: agdc_admin +-- Name: dataset_source uq_dataset_source_source_dataset_ref; Type: CONSTRAINT; Schema: agdc; Owner: odcuser -- ALTER TABLE ONLY agdc.dataset_source @@ -2743,7 +3107,7 @@ ALTER TABLE ONLY agdc.dataset_source -- --- Name: dataset_type uq_dataset_type_name; Type: CONSTRAINT; Schema: agdc; Owner: agdc_admin +-- Name: dataset_type uq_dataset_type_name; Type: CONSTRAINT; Schema: agdc; Owner: odcuser -- ALTER TABLE ONLY agdc.dataset_type @@ -2751,7 +3115,7 @@ ALTER TABLE ONLY agdc.dataset_type -- --- Name: metadata_type uq_metadata_type_name; Type: CONSTRAINT; Schema: agdc; Owner: agdc_admin +-- Name: metadata_type uq_metadata_type_name; Type: CONSTRAINT; Schema: agdc; Owner: odcuser -- ALTER TABLE ONLY agdc.metadata_type @@ -2759,288 +3123,287 @@ ALTER TABLE ONLY agdc.metadata_type -- --- Name: dix_ga_ls5t_ard_3_cloud_cover; Type: INDEX; Schema: agdc; Owner: agdc_admin +-- Name: dix_ga_ls5t_ard_3_cloud_cover; Type: INDEX; Schema: agdc; Owner: odcuser -- CREATE INDEX dix_ga_ls5t_ard_3_cloud_cover ON agdc.dataset USING btree ((((metadata #>> '{properties,eo:cloud_cover}'::text[]))::double precision)) WHERE ((archived IS NULL) AND (dataset_type_ref = 1)); -- --- Name: dix_ga_ls5t_ard_3_dataset_maturity; Type: INDEX; Schema: agdc; Owner: agdc_admin +-- Name: dix_ga_ls5t_ard_3_dataset_maturity; Type: INDEX; Schema: agdc; Owner: odcuser -- CREATE INDEX dix_ga_ls5t_ard_3_dataset_maturity ON agdc.dataset USING btree (((metadata #>> '{properties,dea:dataset_maturity}'::text[]))) WHERE ((archived IS NULL) AND (dataset_type_ref = 1)); -- --- Name: dix_ga_ls5t_ard_3_gqa; Type: INDEX; Schema: agdc; Owner: agdc_admin +-- Name: dix_ga_ls5t_ard_3_gqa; Type: INDEX; Schema: agdc; Owner: odcuser -- CREATE INDEX dix_ga_ls5t_ard_3_gqa ON agdc.dataset USING btree ((((metadata #>> '{properties,gqa:cep90}'::text[]))::double precision)) WHERE ((archived IS NULL) AND (dataset_type_ref = 1)); -- --- Name: dix_ga_ls5t_ard_3_lat_lon_time; Type: INDEX; Schema: agdc; Owner: agdc_admin +-- Name: dix_ga_ls5t_ard_3_lat_lon_time; Type: INDEX; Schema: agdc; Owner: odcuser -- CREATE INDEX dix_ga_ls5t_ard_3_lat_lon_time ON agdc.dataset USING gist (agdc.float8range(((metadata #>> '{extent,lat,begin}'::text[]))::double precision, ((metadata #>> '{extent,lat,end}'::text[]))::double precision, '[]'::text), agdc.float8range(((metadata #>> '{extent,lon,begin}'::text[]))::double precision, ((metadata #>> '{extent,lon,end}'::text[]))::double precision, '[]'::text), tstzrange(LEAST(agdc.common_timestamp((metadata #>> '{properties,dtr:start_datetime}'::text[])), agdc.common_timestamp((metadata #>> '{properties,datetime}'::text[]))), GREATEST(agdc.common_timestamp((metadata #>> '{properties,dtr:end_datetime}'::text[])), agdc.common_timestamp((metadata #>> '{properties,datetime}'::text[]))), '[]'::text)) WHERE ((archived IS NULL) AND (dataset_type_ref = 1)); -- --- Name: dix_ga_ls5t_ard_3_region_code; Type: INDEX; Schema: agdc; Owner: agdc_admin +-- Name: dix_ga_ls5t_ard_3_region_code; Type: INDEX; Schema: agdc; Owner: odcuser -- CREATE INDEX dix_ga_ls5t_ard_3_region_code ON agdc.dataset USING btree (((metadata #>> '{properties,odc:region_code}'::text[]))) WHERE ((archived IS NULL) AND (dataset_type_ref = 1)); -- --- Name: dix_ga_ls5t_ard_3_time_lat_lon; Type: INDEX; Schema: agdc; Owner: agdc_admin +-- Name: dix_ga_ls5t_ard_3_time_lat_lon; Type: INDEX; Schema: agdc; Owner: odcuser -- CREATE INDEX dix_ga_ls5t_ard_3_time_lat_lon ON agdc.dataset USING gist (tstzrange(LEAST(agdc.common_timestamp((metadata #>> '{properties,dtr:start_datetime}'::text[])), agdc.common_timestamp((metadata #>> '{properties,datetime}'::text[]))), GREATEST(agdc.common_timestamp((metadata #>> '{properties,dtr:end_datetime}'::text[])), agdc.common_timestamp((metadata #>> '{properties,datetime}'::text[]))), '[]'::text), agdc.float8range(((metadata #>> '{extent,lat,begin}'::text[]))::double precision, ((metadata #>> '{extent,lat,end}'::text[]))::double precision, '[]'::text), agdc.float8range(((metadata #>> '{extent,lon,begin}'::text[]))::double precision, ((metadata #>> '{extent,lon,end}'::text[]))::double precision, '[]'::text)) WHERE ((archived IS NULL) AND (dataset_type_ref = 1)); -- --- Name: dix_ga_ls7e_ard_3_cloud_cover; Type: INDEX; Schema: agdc; Owner: agdc_admin +-- Name: dix_ga_ls7e_ard_3_cloud_cover; Type: INDEX; Schema: agdc; Owner: odcuser -- CREATE INDEX dix_ga_ls7e_ard_3_cloud_cover ON agdc.dataset USING btree ((((metadata #>> '{properties,eo:cloud_cover}'::text[]))::double precision)) WHERE ((archived IS NULL) AND (dataset_type_ref = 2)); -- --- Name: dix_ga_ls7e_ard_3_dataset_maturity; Type: INDEX; Schema: agdc; Owner: agdc_admin +-- Name: dix_ga_ls7e_ard_3_dataset_maturity; Type: INDEX; Schema: agdc; Owner: odcuser -- CREATE INDEX dix_ga_ls7e_ard_3_dataset_maturity ON agdc.dataset USING btree (((metadata #>> '{properties,dea:dataset_maturity}'::text[]))) WHERE ((archived IS NULL) AND (dataset_type_ref = 2)); -- --- Name: dix_ga_ls7e_ard_3_gqa; Type: INDEX; Schema: agdc; Owner: agdc_admin +-- Name: dix_ga_ls7e_ard_3_gqa; Type: INDEX; Schema: agdc; Owner: odcuser -- CREATE INDEX dix_ga_ls7e_ard_3_gqa ON agdc.dataset USING btree ((((metadata #>> '{properties,gqa:cep90}'::text[]))::double precision)) WHERE ((archived IS NULL) AND (dataset_type_ref = 2)); -- --- Name: dix_ga_ls7e_ard_3_lat_lon_time; Type: INDEX; Schema: agdc; Owner: agdc_admin +-- Name: dix_ga_ls7e_ard_3_lat_lon_time; Type: INDEX; Schema: agdc; Owner: odcuser -- CREATE INDEX dix_ga_ls7e_ard_3_lat_lon_time ON agdc.dataset USING gist (agdc.float8range(((metadata #>> '{extent,lat,begin}'::text[]))::double precision, ((metadata #>> '{extent,lat,end}'::text[]))::double precision, '[]'::text), agdc.float8range(((metadata #>> '{extent,lon,begin}'::text[]))::double precision, ((metadata #>> '{extent,lon,end}'::text[]))::double precision, '[]'::text), tstzrange(LEAST(agdc.common_timestamp((metadata #>> '{properties,dtr:start_datetime}'::text[])), agdc.common_timestamp((metadata #>> '{properties,datetime}'::text[]))), GREATEST(agdc.common_timestamp((metadata #>> '{properties,dtr:end_datetime}'::text[])), agdc.common_timestamp((metadata #>> '{properties,datetime}'::text[]))), '[]'::text)) WHERE ((archived IS NULL) AND (dataset_type_ref = 2)); -- --- Name: dix_ga_ls7e_ard_3_region_code; Type: INDEX; Schema: agdc; Owner: agdc_admin +-- Name: dix_ga_ls7e_ard_3_region_code; Type: INDEX; Schema: agdc; Owner: odcuser -- CREATE INDEX dix_ga_ls7e_ard_3_region_code ON agdc.dataset USING btree (((metadata #>> '{properties,odc:region_code}'::text[]))) WHERE ((archived IS NULL) AND (dataset_type_ref = 2)); -- --- Name: dix_ga_ls7e_ard_3_time_lat_lon; Type: INDEX; Schema: agdc; Owner: agdc_admin +-- Name: dix_ga_ls7e_ard_3_time_lat_lon; Type: INDEX; Schema: agdc; Owner: odcuser -- CREATE INDEX dix_ga_ls7e_ard_3_time_lat_lon ON agdc.dataset USING gist (tstzrange(LEAST(agdc.common_timestamp((metadata #>> '{properties,dtr:start_datetime}'::text[])), agdc.common_timestamp((metadata #>> '{properties,datetime}'::text[]))), GREATEST(agdc.common_timestamp((metadata #>> '{properties,dtr:end_datetime}'::text[])), agdc.common_timestamp((metadata #>> '{properties,datetime}'::text[]))), '[]'::text), agdc.float8range(((metadata #>> '{extent,lat,begin}'::text[]))::double precision, ((metadata #>> '{extent,lat,end}'::text[]))::double precision, '[]'::text), agdc.float8range(((metadata #>> '{extent,lon,begin}'::text[]))::double precision, ((metadata #>> '{extent,lon,end}'::text[]))::double precision, '[]'::text)) WHERE ((archived IS NULL) AND (dataset_type_ref = 2)); -- --- Name: dix_ga_ls8c_ard_3_cloud_cover; Type: INDEX; Schema: agdc; Owner: agdc_admin +-- Name: dix_ga_ls8c_ard_3_cloud_cover; Type: INDEX; Schema: agdc; Owner: odcuser -- CREATE INDEX dix_ga_ls8c_ard_3_cloud_cover ON agdc.dataset USING btree ((((metadata #>> '{properties,eo:cloud_cover}'::text[]))::double precision)) WHERE ((archived IS NULL) AND (dataset_type_ref = 3)); -- --- Name: dix_ga_ls8c_ard_3_dataset_maturity; Type: INDEX; Schema: agdc; Owner: agdc_admin +-- Name: dix_ga_ls8c_ard_3_dataset_maturity; Type: INDEX; Schema: agdc; Owner: odcuser -- CREATE INDEX dix_ga_ls8c_ard_3_dataset_maturity ON agdc.dataset USING btree (((metadata #>> '{properties,dea:dataset_maturity}'::text[]))) WHERE ((archived IS NULL) AND (dataset_type_ref = 3)); -- --- Name: dix_ga_ls8c_ard_3_gqa; Type: INDEX; Schema: agdc; Owner: agdc_admin +-- Name: dix_ga_ls8c_ard_3_gqa; Type: INDEX; Schema: agdc; Owner: odcuser -- CREATE INDEX dix_ga_ls8c_ard_3_gqa ON agdc.dataset USING btree ((((metadata #>> '{properties,gqa:cep90}'::text[]))::double precision)) WHERE ((archived IS NULL) AND (dataset_type_ref = 3)); -- --- Name: dix_ga_ls8c_ard_3_lat_lon_time; Type: INDEX; Schema: agdc; Owner: agdc_admin +-- Name: dix_ga_ls8c_ard_3_lat_lon_time; Type: INDEX; Schema: agdc; Owner: odcuser -- CREATE INDEX dix_ga_ls8c_ard_3_lat_lon_time ON agdc.dataset USING gist (agdc.float8range(((metadata #>> '{extent,lat,begin}'::text[]))::double precision, ((metadata #>> '{extent,lat,end}'::text[]))::double precision, '[]'::text), agdc.float8range(((metadata #>> '{extent,lon,begin}'::text[]))::double precision, ((metadata #>> '{extent,lon,end}'::text[]))::double precision, '[]'::text), tstzrange(LEAST(agdc.common_timestamp((metadata #>> '{properties,dtr:start_datetime}'::text[])), agdc.common_timestamp((metadata #>> '{properties,datetime}'::text[]))), GREATEST(agdc.common_timestamp((metadata #>> '{properties,dtr:end_datetime}'::text[])), agdc.common_timestamp((metadata #>> '{properties,datetime}'::text[]))), '[]'::text)) WHERE ((archived IS NULL) AND (dataset_type_ref = 3)); -- --- Name: dix_ga_ls8c_ard_3_region_code; Type: INDEX; Schema: agdc; Owner: agdc_admin +-- Name: dix_ga_ls8c_ard_3_region_code; Type: INDEX; Schema: agdc; Owner: odcuser -- CREATE INDEX dix_ga_ls8c_ard_3_region_code ON agdc.dataset USING btree (((metadata #>> '{properties,odc:region_code}'::text[]))) WHERE ((archived IS NULL) AND (dataset_type_ref = 3)); -- --- Name: dix_ga_ls8c_ard_3_time_lat_lon; Type: INDEX; Schema: agdc; Owner: agdc_admin +-- Name: dix_ga_ls8c_ard_3_time_lat_lon; Type: INDEX; Schema: agdc; Owner: odcuser -- CREATE INDEX dix_ga_ls8c_ard_3_time_lat_lon ON agdc.dataset USING gist (tstzrange(LEAST(agdc.common_timestamp((metadata #>> '{properties,dtr:start_datetime}'::text[])), agdc.common_timestamp((metadata #>> '{properties,datetime}'::text[]))), GREATEST(agdc.common_timestamp((metadata #>> '{properties,dtr:end_datetime}'::text[])), agdc.common_timestamp((metadata #>> '{properties,datetime}'::text[]))), '[]'::text), agdc.float8range(((metadata #>> '{extent,lat,begin}'::text[]))::double precision, ((metadata #>> '{extent,lat,end}'::text[]))::double precision, '[]'::text), agdc.float8range(((metadata #>> '{extent,lon,begin}'::text[]))::double precision, ((metadata #>> '{extent,lon,end}'::text[]))::double precision, '[]'::text)) WHERE ((archived IS NULL) AND (dataset_type_ref = 3)); -- --- Name: ix_agdc_dataset_dataset_type_ref; Type: INDEX; Schema: agdc; Owner: agdc_admin +-- Name: dix_ga_ls9c_ard_3_cloud_cover; Type: INDEX; Schema: agdc; Owner: odcuser -- -CREATE INDEX ix_agdc_dataset_dataset_type_ref ON agdc.dataset USING btree (dataset_type_ref); +CREATE INDEX dix_ga_ls9c_ard_3_cloud_cover ON agdc.dataset USING btree ((((metadata #>> '{properties,eo:cloud_cover}'::text[]))::double precision)) WHERE ((archived IS NULL) AND (dataset_type_ref = 4)); -- --- Name: ix_agdc_dataset_location_dataset_ref; Type: INDEX; Schema: agdc; Owner: agdc_admin +-- Name: dix_ga_ls9c_ard_3_dataset_maturity; Type: INDEX; Schema: agdc; Owner: odcuser -- -CREATE INDEX ix_agdc_dataset_location_dataset_ref ON agdc.dataset_location USING btree (dataset_ref); +CREATE INDEX dix_ga_ls9c_ard_3_dataset_maturity ON agdc.dataset USING btree (((metadata #>> '{properties,dea:dataset_maturity}'::text[]))) WHERE ((archived IS NULL) AND (dataset_type_ref = 4)); -- --- Name: dataset row_update_time_dataset; Type: TRIGGER; Schema: agdc; Owner: agdc_admin +-- Name: dix_ga_ls9c_ard_3_gqa; Type: INDEX; Schema: agdc; Owner: odcuser -- -CREATE TRIGGER row_update_time_dataset BEFORE UPDATE ON agdc.dataset FOR EACH ROW EXECUTE FUNCTION agdc.set_row_update_time(); +CREATE INDEX dix_ga_ls9c_ard_3_gqa ON agdc.dataset USING btree ((((metadata #>> '{properties,gqa:cep90}'::text[]))::double precision)) WHERE ((archived IS NULL) AND (dataset_type_ref = 4)); -- --- Name: dataset_type row_update_time_dataset_type; Type: TRIGGER; Schema: agdc; Owner: agdc_admin +-- Name: dix_ga_ls9c_ard_3_lat_lon_time; Type: INDEX; Schema: agdc; Owner: odcuser -- -CREATE TRIGGER row_update_time_dataset_type BEFORE UPDATE ON agdc.dataset_type FOR EACH ROW EXECUTE FUNCTION agdc.set_row_update_time(); +CREATE INDEX dix_ga_ls9c_ard_3_lat_lon_time ON agdc.dataset USING gist (agdc.float8range(((metadata #>> '{extent,lat,begin}'::text[]))::double precision, ((metadata #>> '{extent,lat,end}'::text[]))::double precision, '[]'::text), agdc.float8range(((metadata #>> '{extent,lon,begin}'::text[]))::double precision, ((metadata #>> '{extent,lon,end}'::text[]))::double precision, '[]'::text), tstzrange(LEAST(agdc.common_timestamp((metadata #>> '{properties,dtr:start_datetime}'::text[])), agdc.common_timestamp((metadata #>> '{properties,datetime}'::text[]))), GREATEST(agdc.common_timestamp((metadata #>> '{properties,dtr:end_datetime}'::text[])), agdc.common_timestamp((metadata #>> '{properties,datetime}'::text[]))), '[]'::text)) WHERE ((archived IS NULL) AND (dataset_type_ref = 4)); -- --- Name: metadata_type row_update_time_metadata_type; Type: TRIGGER; Schema: agdc; Owner: agdc_admin +-- Name: dix_ga_ls9c_ard_3_region_code; Type: INDEX; Schema: agdc; Owner: odcuser -- -CREATE TRIGGER row_update_time_metadata_type BEFORE UPDATE ON agdc.metadata_type FOR EACH ROW EXECUTE FUNCTION agdc.set_row_update_time(); +CREATE INDEX dix_ga_ls9c_ard_3_region_code ON agdc.dataset USING btree (((metadata #>> '{properties,odc:region_code}'::text[]))) WHERE ((archived IS NULL) AND (dataset_type_ref = 4)); -- --- Name: dataset fk_dataset_dataset_type_ref_dataset_type; Type: FK CONSTRAINT; Schema: agdc; Owner: agdc_admin +-- Name: dix_ga_ls9c_ard_3_time_lat_lon; Type: INDEX; Schema: agdc; Owner: odcuser -- -ALTER TABLE ONLY agdc.dataset - ADD CONSTRAINT fk_dataset_dataset_type_ref_dataset_type FOREIGN KEY (dataset_type_ref) REFERENCES agdc.dataset_type(id); +CREATE INDEX dix_ga_ls9c_ard_3_time_lat_lon ON agdc.dataset USING gist (tstzrange(LEAST(agdc.common_timestamp((metadata #>> '{properties,dtr:start_datetime}'::text[])), agdc.common_timestamp((metadata #>> '{properties,datetime}'::text[]))), GREATEST(agdc.common_timestamp((metadata #>> '{properties,dtr:end_datetime}'::text[])), agdc.common_timestamp((metadata #>> '{properties,datetime}'::text[]))), '[]'::text), agdc.float8range(((metadata #>> '{extent,lat,begin}'::text[]))::double precision, ((metadata #>> '{extent,lat,end}'::text[]))::double precision, '[]'::text), agdc.float8range(((metadata #>> '{extent,lon,begin}'::text[]))::double precision, ((metadata #>> '{extent,lon,end}'::text[]))::double precision, '[]'::text)) WHERE ((archived IS NULL) AND (dataset_type_ref = 4)); -- --- Name: dataset_location fk_dataset_location_dataset_ref_dataset; Type: FK CONSTRAINT; Schema: agdc; Owner: agdc_admin +-- Name: ix_agdc_dataset_dataset_type_ref; Type: INDEX; Schema: agdc; Owner: odcuser -- -ALTER TABLE ONLY agdc.dataset_location - ADD CONSTRAINT fk_dataset_location_dataset_ref_dataset FOREIGN KEY (dataset_ref) REFERENCES agdc.dataset(id); +CREATE INDEX ix_agdc_dataset_dataset_type_ref ON agdc.dataset USING btree (dataset_type_ref); -- --- Name: dataset fk_dataset_metadata_type_ref_metadata_type; Type: FK CONSTRAINT; Schema: agdc; Owner: agdc_admin +-- Name: ix_agdc_dataset_location_dataset_ref; Type: INDEX; Schema: agdc; Owner: odcuser -- -ALTER TABLE ONLY agdc.dataset - ADD CONSTRAINT fk_dataset_metadata_type_ref_metadata_type FOREIGN KEY (metadata_type_ref) REFERENCES agdc.metadata_type(id); +CREATE INDEX ix_agdc_dataset_location_dataset_ref ON agdc.dataset_location USING btree (dataset_ref); -- --- Name: dataset_source fk_dataset_source_dataset_ref_dataset; Type: FK CONSTRAINT; Schema: agdc; Owner: agdc_admin +-- Name: dataset row_update_time_dataset; Type: TRIGGER; Schema: agdc; Owner: odcuser -- -ALTER TABLE ONLY agdc.dataset_source - ADD CONSTRAINT fk_dataset_source_dataset_ref_dataset FOREIGN KEY (dataset_ref) REFERENCES agdc.dataset(id); +CREATE TRIGGER row_update_time_dataset BEFORE UPDATE ON agdc.dataset FOR EACH ROW EXECUTE FUNCTION agdc.set_row_update_time(); -- --- Name: dataset_source fk_dataset_source_source_dataset_ref_dataset; Type: FK CONSTRAINT; Schema: agdc; Owner: agdc_admin +-- Name: dataset_type row_update_time_dataset_type; Type: TRIGGER; Schema: agdc; Owner: odcuser -- -ALTER TABLE ONLY agdc.dataset_source - ADD CONSTRAINT fk_dataset_source_source_dataset_ref_dataset FOREIGN KEY (source_dataset_ref) REFERENCES agdc.dataset(id); +CREATE TRIGGER row_update_time_dataset_type BEFORE UPDATE ON agdc.dataset_type FOR EACH ROW EXECUTE FUNCTION agdc.set_row_update_time(); -- --- Name: dataset_type fk_dataset_type_metadata_type_ref_metadata_type; Type: FK CONSTRAINT; Schema: agdc; Owner: agdc_admin +-- Name: metadata_type row_update_time_metadata_type; Type: TRIGGER; Schema: agdc; Owner: odcuser -- -ALTER TABLE ONLY agdc.dataset_type - ADD CONSTRAINT fk_dataset_type_metadata_type_ref_metadata_type FOREIGN KEY (metadata_type_ref) REFERENCES agdc.metadata_type(id); +CREATE TRIGGER row_update_time_metadata_type BEFORE UPDATE ON agdc.metadata_type FOR EACH ROW EXECUTE FUNCTION agdc.set_row_update_time(); -- --- Name: SCHEMA agdc; Type: ACL; Schema: -; Owner: agdc_admin +-- Name: dataset fk_dataset_dataset_type_ref_dataset_type; Type: FK CONSTRAINT; Schema: agdc; Owner: odcuser -- -GRANT USAGE ON SCHEMA agdc TO agdc_user; -GRANT CREATE ON SCHEMA agdc TO agdc_manage; +ALTER TABLE ONLY agdc.dataset + ADD CONSTRAINT fk_dataset_dataset_type_ref_dataset_type FOREIGN KEY (dataset_type_ref) REFERENCES agdc.dataset_type(id); -- --- Name: FUNCTION common_timestamp(text); Type: ACL; Schema: agdc; Owner: agdc_admin +-- Name: dataset_location fk_dataset_location_dataset_ref_dataset; Type: FK CONSTRAINT; Schema: agdc; Owner: odcuser -- -GRANT ALL ON FUNCTION agdc.common_timestamp(text) TO agdc_user; +ALTER TABLE ONLY agdc.dataset_location + ADD CONSTRAINT fk_dataset_location_dataset_ref_dataset FOREIGN KEY (dataset_ref) REFERENCES agdc.dataset(id); -- --- Name: TABLE dataset; Type: ACL; Schema: agdc; Owner: agdc_admin +-- Name: dataset fk_dataset_metadata_type_ref_metadata_type; Type: FK CONSTRAINT; Schema: agdc; Owner: odcuser -- -GRANT SELECT ON TABLE agdc.dataset TO agdc_user; -GRANT INSERT ON TABLE agdc.dataset TO agdc_ingest; +ALTER TABLE ONLY agdc.dataset + ADD CONSTRAINT fk_dataset_metadata_type_ref_metadata_type FOREIGN KEY (metadata_type_ref) REFERENCES agdc.metadata_type(id); -- --- Name: TABLE dataset_location; Type: ACL; Schema: agdc; Owner: agdc_admin +-- Name: dataset_source fk_dataset_source_dataset_ref_dataset; Type: FK CONSTRAINT; Schema: agdc; Owner: odcuser -- -GRANT SELECT ON TABLE agdc.dataset_location TO agdc_user; -GRANT INSERT ON TABLE agdc.dataset_location TO agdc_ingest; +ALTER TABLE ONLY agdc.dataset_source + ADD CONSTRAINT fk_dataset_source_dataset_ref_dataset FOREIGN KEY (dataset_ref) REFERENCES agdc.dataset(id); -- --- Name: SEQUENCE dataset_location_id_seq; Type: ACL; Schema: agdc; Owner: agdc_admin +-- Name: dataset_source fk_dataset_source_source_dataset_ref_dataset; Type: FK CONSTRAINT; Schema: agdc; Owner: odcuser -- -GRANT SELECT,USAGE ON SEQUENCE agdc.dataset_location_id_seq TO agdc_ingest; +ALTER TABLE ONLY agdc.dataset_source + ADD CONSTRAINT fk_dataset_source_source_dataset_ref_dataset FOREIGN KEY (source_dataset_ref) REFERENCES agdc.dataset(id); -- --- Name: TABLE dataset_source; Type: ACL; Schema: agdc; Owner: agdc_admin +-- Name: dataset_type fk_dataset_type_metadata_type_ref_metadata_type; Type: FK CONSTRAINT; Schema: agdc; Owner: odcuser -- -GRANT SELECT ON TABLE agdc.dataset_source TO agdc_user; -GRANT INSERT ON TABLE agdc.dataset_source TO agdc_ingest; +ALTER TABLE ONLY agdc.dataset_type + ADD CONSTRAINT fk_dataset_type_metadata_type_ref_metadata_type FOREIGN KEY (metadata_type_ref) REFERENCES agdc.metadata_type(id); -- --- Name: TABLE dataset_type; Type: ACL; Schema: agdc; Owner: agdc_admin +-- Name: job cron_job_policy; Type: POLICY; Schema: cron; Owner: postgres -- -GRANT SELECT ON TABLE agdc.dataset_type TO agdc_user; -GRANT INSERT,DELETE ON TABLE agdc.dataset_type TO agdc_manage; +CREATE POLICY cron_job_policy ON cron.job USING ((username = CURRENT_USER)); -- --- Name: SEQUENCE dataset_type_id_seq; Type: ACL; Schema: agdc; Owner: agdc_admin +-- Name: job_run_details cron_job_run_details_policy; Type: POLICY; Schema: cron; Owner: postgres -- -GRANT SELECT,USAGE ON SEQUENCE agdc.dataset_type_id_seq TO agdc_ingest; +CREATE POLICY cron_job_run_details_policy ON cron.job_run_details USING ((username = CURRENT_USER)); -- --- Name: TABLE metadata_type; Type: ACL; Schema: agdc; Owner: agdc_admin +-- Name: job; Type: ROW SECURITY; Schema: cron; Owner: postgres -- -GRANT SELECT ON TABLE agdc.metadata_type TO agdc_user; -GRANT INSERT,DELETE ON TABLE agdc.metadata_type TO agdc_manage; +ALTER TABLE cron.job ENABLE ROW LEVEL SECURITY; + +-- +-- Name: job_run_details; Type: ROW SECURITY; Schema: cron; Owner: postgres +-- +ALTER TABLE cron.job_run_details ENABLE ROW LEVEL SECURITY; -- --- Name: SEQUENCE metadata_type_id_seq; Type: ACL; Schema: agdc; Owner: agdc_admin +-- Name: DEFAULT PRIVILEGES FOR TABLES; Type: DEFAULT ACL; Schema: public; Owner: odcuser -- -GRANT SELECT,USAGE ON SEQUENCE agdc.metadata_type_id_seq TO agdc_ingest; +ALTER DEFAULT PRIVILEGES FOR ROLE odcuser IN SCHEMA public GRANT SELECT ON TABLES TO replicator; -- diff --git a/notebooks/DEACoastlines_generation_raster.ipynb b/notebooks/DEACoastlines_generation_raster.ipynb index 978e92a..480fc11 100644 --- a/notebooks/DEACoastlines_generation_raster.ipynb +++ b/notebooks/DEACoastlines_generation_raster.ipynb @@ -78,13 +78,6 @@ "execution_count": 3, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "distributed.diskutils - INFO - Found stale lock file and directory '/home/jovyan/Robbi/dea-coastlines/dask-worker-space/worker-9605gibz', purging\n" - ] - }, { "data": { "text/html": [ @@ -92,7 +85,7 @@ "
\n", "
\n", "

Client

\n", - "

Client-d58c0389-5bee-11ed-8076-06f968b554fb

\n", + "

Client-1fb08b33-5e34-11ed-80e8-caa77ef48cdd

\n", " \n", "\n", " \n", @@ -121,7 +114,7 @@ " \n", "
\n", "

LocalCluster

\n", - "

a4f3e6cd

\n", + "

7cd08afc

\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", @@ -158,11 +151,11 @@ "
\n", "
\n", "

Scheduler

\n", - "

Scheduler-464295cb-b094-4a75-97de-b11919c997a6

\n", + "

Scheduler-e2398733-4c9c-4eda-953a-6789a65c19ae

\n", "
\n", @@ -133,10 +126,10 @@ "
\n", - " Total threads: 15\n", + " Total threads: 7\n", " \n", - " Total memory: 117.21 GiB\n", + " Total memory: 59.21 GiB\n", "
\n", " \n", " \n", " \n", " \n", " \n", " \n", @@ -181,7 +174,7 @@ " Started: Just now\n", " \n", " \n", " \n", "
\n", - " Comm: tcp://127.0.0.1:38345\n", + " Comm: tcp://127.0.0.1:37827\n", " \n", " Workers: 1\n", @@ -173,7 +166,7 @@ " Dashboard: /user/robbi.bishoptaylor@ga.gov.au/proxy/8787/status\n", " \n", - " Total threads: 15\n", + " Total threads: 7\n", "
\n", - " Total memory: 117.21 GiB\n", + " Total memory: 59.21 GiB\n", "
\n", @@ -204,29 +197,29 @@ " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", @@ -253,7 +246,7 @@ "" ], "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -315,8 +308,8 @@ "outputs": [], "source": [ "study_area = 136\n", - "raster_version = 'throughput'\n", - "start_year = 2015\n", + "raster_version = 'ls9'\n", + "start_year = 2019\n", "end_year = 2021\n", "\n", "# Load analysis params from config file\n", @@ -384,7 +377,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -742,9 +735,9 @@ " fill: currentColor;\n", "}\n", "
<xarray.Dataset>\n",
-       "Dimensions:      (time: 377, y: 1469, x: 1423)\n",
+       "Dimensions:      (time: 217, y: 1469, x: 1423)\n",
        "Coordinates:\n",
-       "  * time         (time) datetime64[ns] 2014-01-01T01:13:03.255299 ... 2022-10...\n",
+       "  * time         (time) datetime64[ns] 2018-01-04T01:16:45.170611 ... 2022-10...\n",
        "  * y            (y) float64 -1.339e+06 -1.339e+06 ... -1.383e+06 -1.383e+06\n",
        "  * x            (x) float64 1.366e+05 1.366e+05 ... 1.792e+05 1.792e+05\n",
        "    spatial_ref  int32 32653\n",
@@ -752,10 +745,10 @@
        "    mndwi        (time, y, x) float32 dask.array<chunksize=(1, 1469, 1423), meta=np.ndarray>\n",
        "Attributes:\n",
        "    crs:           epsg:32653\n",
-       "    grid_mapping:  spatial_ref
\n", - " Comm: tcp://127.0.0.1:35707\n", + " Comm: tcp://127.0.0.1:46533\n", " \n", - " Total threads: 15\n", + " Total threads: 7\n", "
\n", - " Dashboard: /user/robbi.bishoptaylor@ga.gov.au/proxy/42923/status\n", + " Dashboard: /user/robbi.bishoptaylor@ga.gov.au/proxy/41031/status\n", " \n", - " Memory: 117.21 GiB\n", + " Memory: 59.21 GiB\n", "
\n", - " Nanny: tcp://127.0.0.1:39257\n", + " Nanny: tcp://127.0.0.1:38179\n", "
\n", - " Local directory: /home/jovyan/Robbi/dea-coastlines/dask-worker-space/worker-mp4gbbpa\n", + " Local directory: /home/jovyan/Robbi/dea-coastlines/dask-worker-space/worker-ywfl_hfm\n", "
\n", + " dtype='datetime64[ns]')
  • y
    (y)
    float64
    -1.339e+06 ... -1.383e+06
    units :
    metre
    resolution :
    -30.0
    crs :
    epsg:32653
    array([-1338840., -1338870., -1338900., ..., -1382820., -1382850., -1382880.])
  • x
    (x)
    float64
    1.366e+05 1.366e+05 ... 1.792e+05
    units :
    metre
    resolution :
    30.0
    crs :
    epsg:32653
    array([136590., 136620., 136650., ..., 179190., 179220., 179250.])
  • spatial_ref
    ()
    int32
    32653
    spatial_ref :
    PROJCS["WGS 84 / UTM zone 53N",GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]],AUTHORITY["EPSG","4326"]],PROJECTION["Transverse_Mercator"],PARAMETER["latitude_of_origin",0],PARAMETER["central_meridian",135],PARAMETER["scale_factor",0.9996],PARAMETER["false_easting",500000],PARAMETER["false_northing",0],UNIT["metre",1,AUTHORITY["EPSG","9001"]],AXIS["Easting",EAST],AXIS["Northing",NORTH],AUTHORITY["EPSG","32653"]]
    grid_mapping_name :
    transverse_mercator
    array(32653, dtype=int32)
    • mndwi
      (time, y, x)
      float32
      dask.array<chunksize=(1, 1469, 1423), meta=np.ndarray>
      crs :
      epsg:32653
      units :
      1
      nodata :
      nan
    • \n", " \n", " \n", " \n", " \n", - "
    \n", " \n", @@ -770,19 +763,19 @@ " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", " \n", @@ -793,91 +786,91 @@ "
    Bytes 2.94 GiB 1.69 GiB 7.97 MiB
    Shape (377, 1469, 1423) (217, 1469, 1423) (1, 1469, 1423)
    Count 25189 Tasks 377 Chunks 14496 Tasks 217 Chunks
    Type
    \n", "     		\n", - " \n", + " \n", "\n", " \n", - " \n", - " \n", + " \n", + " \n", "\n", " \n", " \n", " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", + " \n", " \n", - " \n", " \n", + " \n", " \n", " \n", - " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", "\n", " \n", - " \n", + " \n", "\n", " \n", " \n", " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", - " \n", - " \n", - " \n", - " \n", + " \n", + " \n", + " \n", + " \n", + " \n", " \n", - " \n", - " \n", + " \n", + " \n", " \n", " \n", - " \n", - " \n", + " \n", "\n", " \n", - " \n", - " \n", + " \n", + " \n", "\n", " \n", - " \n", + " \n", "\n", " \n", - " \n", - " \n", + " \n", + " \n", "\n", " \n", - " \n", - " \n", + " \n", + " \n", "\n", " \n", - " \n", + " \n", "\n", " \n", - " 1423\n", - " 1469\n", - " 377\n", + " 1423\n", + " 1469\n", + " 217\n", "\n", "
  • crs :
    epsg:32653
    grid_mapping :
    spatial_ref
    • " + "
  • crs :
    epsg:32653
    grid_mapping :
    spatial_ref
    • " ], "text/plain": [ "\n", - "Dimensions: (time: 377, y: 1469, x: 1423)\n", + "Dimensions: (time: 217, y: 1469, x: 1423)\n", "Coordinates:\n", - " * time (time) datetime64[ns] 2014-01-01T01:13:03.255299 ... 2022-10...\n", + " * time (time) datetime64[ns] 2018-01-04T01:16:45.170611 ... 2022-10...\n", " * y (y) float64 -1.339e+06 -1.339e+06 ... -1.383e+06 -1.383e+06\n", " * x (x) float64 1.366e+05 1.366e+05 ... 1.792e+05 1.792e+05\n", " spatial_ref int32 32653\n", @@ -888,7 +881,7 @@ " grid_mapping: spatial_ref" ] }, - "execution_count": 7, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -924,7 +917,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -940,7 +933,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 377/377 [00:05<00:00, 66.99it/s]\n" + "100%|██████████| 217/217 [00:04<00:00, 53.23it/s]\n" ] } ], @@ -957,12 +950,12 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 11, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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    " ] @@ -1014,7 +1007,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -1032,7 +1025,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -1054,7 +1047,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ diff --git a/notebooks/DEACoastlines_utils.ipynb b/notebooks/DEACoastlines_utils.ipynb index ace221d..7e668e6 100644 --- a/notebooks/DEACoastlines_utils.ipynb +++ b/notebooks/DEACoastlines_utils.ipynb @@ -130,7 +130,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -139,7 +139,7 @@ "from yaml import SafeLoader\n", "\n", "# Load Argo job status\n", - "with open('run_status_100.yaml') as f:\n", + "with open('run_status_30nodes_codefix.yaml') as f:\n", " data = yaml.load(f, Loader=SafeLoader)\n", "\n", "# Keep only jobs with valid inputs \n", @@ -157,28 +157,1089 @@ ")\n", "\n", "# # Drop non-tiles\n", - "df = df.loc[~df.id.isin(['v0.0.1', 'bottleneck', 'https://dea-public-data.s3.ap-southeast-2.amazonaws.com/derivative/dea_coastlines/supplementary/ga_summary_grid_c3_32km_coastal.geojson'])]\n", + "df = df.loc[~df.id.isin(['v0.0.1', 'bottleneck', 'bottleneck2', 'https://dea-public-data.s3.ap-southeast-2.amazonaws.com/derivative/dea_coastlines/supplementary/ga_summary_grid_c3_32km_coastal.geojson'])]\n", "\n", - "# # Export to CSV that can be merged with tile grid\n", - "# df['id'] = df['id'].astype(int)\n", - "# df.to_csv('tile_status.csv', index=False)" + "# Calculate duration\n", + "df['id'] = df.id.astype(int)\n", + "df['startedAt'] = pd.to_datetime(df['startedAt'])\n", + "df['finishedAt'] = pd.to_datetime(df['finishedAt'])\n", + "df['duration'] = df['finishedAt'] - df['startedAt']\n", + "\n", + "# Set up logical errors\n", + "df['error'] = df['error'].replace({None: 2, '1': 1, '0': 0})\n", + "\n", + "# Group and combine multiple runs into one\n", + "overall_df = df.loc[df.groupby('id')['error'].idxmin()]\n", + "# overall_df['retries'] = df.groupby('id')['error'].nunique()\n", + "overall_df['duration'] = overall_df.duration.dt.seconds / 60\n", + "\n", + "# Export to geoJSON\n", + "tiles_gdf = gpd.read_file('https://dea-public-data.s3.ap-southeast-2.amazonaws.com/derivative/dea_coastlines/supplementary/ga_summary_grid_c3_32km_coastal.geojson')\n", + "tiles_gdf.merge(overall_df, on='id').to_file('test.geojson')" ] }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 98, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ - "df['id'] = df.id.astype(int)\n", - "df['startedAt'] = pd.to_datetime(df['startedAt'])\n", - "df['finishedAt'] = pd.to_datetime(df['finishedAt'])\n", - "df['duration'] = df['finishedAt'] - df['startedAt']" + "import datacube\n", + "\n", + "dc = datacube.Datacube()\n" ] }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + " Dataset ,\n", + 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1105\n", " 0\n", - " 2022-11-03 23:06:53+00:00\n", - " 2022-11-03 23:53:48+00:00\n", - " 0 days 00:46:55\n", + " 2022-11-04 04:14:52+00:00\n", + " 2022-11-04 04:49:24+00:00\n", + " 0 days 00:34:32\n", " \n", " \n", " 1\n", - " 1043\n", + " 1079\n", " 0\n", - " 2022-11-03 23:06:51+00:00\n", - " 2022-11-03 23:58:03+00:00\n", - " 0 days 00:51:12\n", + " 2022-11-04 04:14:51+00:00\n", + " 2022-11-04 04:46:55+00:00\n", + " 0 days 00:32:04\n", " \n", " \n", " 2\n", - " 1039\n", + " 1008\n", " 0\n", - " 2022-11-03 23:06:51+00:00\n", - " 2022-11-03 23:52:52+00:00\n", - " 0 days 00:46:01\n", + " 2022-11-04 04:14:50+00:00\n", + " 2022-11-04 04:38:12+00:00\n", + " 0 days 00:23:22\n", " \n", " \n", " 3\n", - " 902\n", + " 913\n", " 0\n", - " 2022-11-03 23:06:50+00:00\n", - " 2022-11-03 23:34:33+00:00\n", - " 0 days 00:27:43\n", + " 2022-11-04 04:14:49+00:00\n", + " 2022-11-04 04:34:17+00:00\n", + " 0 days 00:19:28\n", " \n", " \n", " 4\n", - " 1016\n", + " 1083\n", " 0\n", - " 2022-11-03 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    202 rows × 5 columns

    \n", + "

    200 rows × 5 columns

    \n", "" ], "text/plain": [ - " id error startedAt finishedAt \\\n", - "0 1105 0 2022-11-03 23:06:53+00:00 2022-11-03 23:53:48+00:00 \n", - "1 1043 0 2022-11-03 23:06:51+00:00 2022-11-03 23:58:03+00:00 \n", - "2 1039 0 2022-11-03 23:06:51+00:00 2022-11-03 23:52:52+00:00 \n", - "3 902 0 2022-11-03 23:06:50+00:00 2022-11-03 23:34:33+00:00 \n", - "4 1016 0 2022-11-03 23:06:51+00:00 2022-11-03 23:33:06+00:00 \n", - ".. ... ... ... ... \n", - "199 989 0 2022-11-03 23:06:50+00:00 2022-11-03 23:35:55+00:00 \n", - "200 940 0 2022-11-03 23:06:50+00:00 2022-11-03 23:35:34+00:00 \n", - "201 872 0 2022-11-03 23:06:50+00:00 2022-11-03 23:36:41+00:00 \n", - "202 968 0 2022-11-03 23:06:50+00:00 2022-11-03 23:35:44+00:00 \n", - "203 967 0 2022-11-03 23:06:50+00:00 2022-11-03 23:35:41+00:00 \n", + " id error startedAt finishedAt \\\n", + "0 1105 0 2022-11-04 04:14:52+00:00 2022-11-04 04:49:24+00:00 \n", + "1 1079 0 2022-11-04 04:14:51+00:00 2022-11-04 04:46:55+00:00 \n", + "2 1008 0 2022-11-04 04:14:50+00:00 2022-11-04 04:38:12+00:00 \n", + "3 913 0 2022-11-04 04:14:49+00:00 2022-11-04 04:34:17+00:00 \n", + "4 1083 0 2022-11-04 04:14:51+00:00 2022-11-04 04:49:40+00:00 \n", + ".. ... ... ... ... \n", + "197 878 0 2022-11-04 04:14:49+00:00 2022-11-04 04:37:12+00:00 \n", + "198 1107 0 2022-11-04 04:14:52+00:00 2022-11-04 04:48:39+00:00 \n", + "199 952 0 2022-11-04 04:14:49+00:00 2022-11-04 04:35:37+00:00 \n", + "200 892 0 2022-11-04 04:14:49+00:00 2022-11-04 04:34:34+00:00 \n", + "201 978 0 2022-11-04 04:14:49+00:00 2022-11-04 04:35:26+00:00 \n", "\n", " duration \n", - "0 0 days 00:46:55 \n", - "1 0 days 00:51:12 \n", - "2 0 days 00:46:01 \n", - "3 0 days 00:27:43 \n", - "4 0 days 00:26:15 \n", + "0 0 days 00:34:32 \n", + "1 0 days 00:32:04 \n", + "2 0 days 00:23:22 \n", + "3 0 days 00:19:28 \n", + "4 0 days 00:34:49 \n", ".. ... \n", - "199 0 days 00:29:05 \n", - "200 0 days 00:28:44 \n", - "201 0 days 00:29:51 \n", - "202 0 days 00:28:54 \n", - "203 0 days 00:28:51 \n", + "197 0 days 00:22:23 \n", + "198 0 days 00:33:47 \n", + "199 0 days 00:20:48 \n", + "200 0 days 00:19:45 \n", + "201 0 days 00:20:37 \n", "\n", - "[202 rows x 5 columns]" + "[200 rows x 5 columns]" ] }, - "execution_count": 58, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ids = ids[0:100]\n", + "# ids = [1097]\n", "\n", "df_subset = df.loc[df.id.isin(ids)]\n", "df_subset\n" @@ -356,7 +1418,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -365,13 +1427,13 @@ "" ] }, - "execution_count": 60, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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+ "image/png": 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\n", "text/plain": [ "
    " ] @@ -383,8 +1445,79 @@ } ], "source": [ - "df_max_nodes_30 = df_subset\n", - "(df_max_nodes_30.groupby('id')['duration'].max().dt.seconds/60).plot.hist(xlim=(0, 400))" + "(df_max_nodes_30.groupby('id')['duration'].max().dt.seconds/60).plot.hist(xlim=(0, 60))" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Timedelta('0 days 00:30:52')" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_max_nodes_30.groupby('id')['duration'].max().median()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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    " + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "(df_max_nodes_30_codefix.groupby('id')['duration'].max().dt.seconds/60).plot.hist(xlim=(0, 60))" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Timedelta('0 days 00:22:07.500000')" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_max_nodes_30_codefix.groupby('id')['duration'].max().median()" ] }, {