The 1-D altitude-band index only pruned ~25% of the 22k satellite catalog (eliminates MEO/GEO/HEO but 75% is LEO). Adding inclination as a second indexed dimension prunes an additional ~40% of remaining candidates — objects in equatorial or low-inclination orbits that geometrically cannot pass over the observer's latitude. Key changes: - tle_alt_range (16 bytes) → tle_orbital_key (32 bytes) with inc_low/inc_high fields - All 8 GiST support functions updated for 2-D bounding boxes - Penalty uses margin (half-perimeter) not area to avoid degeneracy when leaf entries have zero-width inclination ranges - Picksplit selects split dimension by normalized spread - && operator now checks altitude AND inclination overlap - <-> operator remains altitude-only (conjunction screening is altitude-dominant) - SQL operator comments updated for 2-D semantics - Test adds Equatorial-LEO satellite at ISS altitude but 5° inclination to validate inclination-based pruning
573 lines
16 KiB
C
573 lines
16 KiB
C
/*
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* gist_tle.c -- GiST operator class for 2-D orbital indexing on TLE
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*
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* Every TLE defines an orbit whose perigee/apogee altitudes and
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* inclination form a 2-D bounding box in (altitude, inclination) space.
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* Two orbits can only be in proximity if their altitude bands overlap
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* AND their inclination ranges overlap -- both necessary but not
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* sufficient conditions for conjunction.
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*
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* The GiST index stores [alt_low, alt_high] x [inc_low, inc_high] keys,
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* enabling fast coarse filtering. For leaf entries inc_low == inc_high
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* (exact value); internal nodes widen to the bounding box of children.
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*
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* The && (overlap) operator is always rechecked: real conjunction
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* screening requires propagation.
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*
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* Semi-major axis from Kepler's third law using WGS-72 constants:
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* a = (KE / n)^(2/3) [earth radii]
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* perigee_km = a*(1-e)*AE - AE
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* apogee_km = a*(1+e)*AE - AE
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*/
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#include "postgres.h"
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#include "fmgr.h"
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#include "access/gist.h"
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#include "access/stratnum.h"
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#include "utils/float.h"
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#include "norad.h"
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#include "types.h"
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#include <math.h>
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#include <float.h>
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PG_FUNCTION_INFO_V1(tle_overlap);
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PG_FUNCTION_INFO_V1(tle_alt_distance);
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PG_FUNCTION_INFO_V1(gist_tle_compress);
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PG_FUNCTION_INFO_V1(gist_tle_decompress);
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PG_FUNCTION_INFO_V1(gist_tle_consistent);
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PG_FUNCTION_INFO_V1(gist_tle_union);
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PG_FUNCTION_INFO_V1(gist_tle_penalty);
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PG_FUNCTION_INFO_V1(gist_tle_picksplit);
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PG_FUNCTION_INFO_V1(gist_tle_same);
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PG_FUNCTION_INFO_V1(gist_tle_distance);
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/* Floating-point comparison tolerance (km and radians) */
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#define KEY_EPSILON 1.0e-9
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/*
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* 2-D orbital key extracted from a TLE's mean elements.
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* Altitude band (perigee/apogee) plus inclination range.
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* This is the GiST internal key -- much cheaper to compare
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* than propagating two full state vectors.
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*
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* For leaf entries: inc_low == inc_high (exact inclination).
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* For internal nodes: bounding box over all children.
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*/
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typedef struct tle_orbital_key
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{
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double alt_low; /* perigee altitude, km */
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double alt_high; /* apogee altitude, km */
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double inc_low; /* inclination lower bound, radians */
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double inc_high; /* inclination upper bound, radians */
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} tle_orbital_key;
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/* ----------------------------------------------------------------
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* tle_to_orbital_key -- compute [perigee, apogee] x [inc, inc]
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*
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* Uses WGS-72 KE and AE (the only constants valid for SGP4 elements).
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* Degenerate TLEs with n <= 0 map to zero-width ranges at 0.
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* Inclination is stored in radians (same as pg_tle).
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* ----------------------------------------------------------------
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*/
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static void
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tle_to_orbital_key(const pg_tle *tle, tle_orbital_key *key)
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{
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double n = tle->mean_motion; /* rad/min */
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double e = tle->eccentricity;
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double a_er; /* semi-major axis, earth radii */
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if (n <= 0.0)
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{
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key->alt_low = 0.0;
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key->alt_high = 0.0;
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key->inc_low = 0.0;
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key->inc_high = 0.0;
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return;
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}
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a_er = pow(WGS72_KE / n, 2.0 / 3.0);
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key->alt_low = a_er * (1.0 - e) * WGS72_AE - WGS72_AE;
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key->alt_high = a_er * (1.0 + e) * WGS72_AE - WGS72_AE;
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/* Guard against numerical inversion from near-zero eccentricity */
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if (key->alt_low > key->alt_high)
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{
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double tmp = key->alt_low;
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key->alt_low = key->alt_high;
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key->alt_high = tmp;
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}
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/* Leaf entry: exact inclination (radians) */
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key->inc_low = tle->inclination;
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key->inc_high = tle->inclination;
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}
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/* ----------------------------------------------------------------
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* key_overlaps -- do two orbital keys overlap in BOTH dimensions?
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*
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* Altitude bands AND inclination ranges must both overlap.
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* ----------------------------------------------------------------
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*/
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static inline bool
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key_overlaps(const tle_orbital_key *a, const tle_orbital_key *b)
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{
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return (a->alt_low <= b->alt_high) && (b->alt_low <= a->alt_high)
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&& (a->inc_low <= b->inc_high) && (b->inc_low <= a->inc_high);
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}
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/* ----------------------------------------------------------------
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* key_contains -- does outer fully contain inner in both dimensions?
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* ----------------------------------------------------------------
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*/
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static inline bool
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key_contains(const tle_orbital_key *outer, const tle_orbital_key *inner)
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{
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return (outer->alt_low <= inner->alt_low)
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&& (inner->alt_high <= outer->alt_high)
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&& (outer->inc_low <= inner->inc_low)
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&& (inner->inc_high <= outer->inc_high);
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}
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/* ----------------------------------------------------------------
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* key_merge -- expand dst bounding box to encompass src
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* ----------------------------------------------------------------
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*/
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static inline void
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key_merge(tle_orbital_key *dst, const tle_orbital_key *src)
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{
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if (src->alt_low < dst->alt_low)
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dst->alt_low = src->alt_low;
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if (src->alt_high > dst->alt_high)
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dst->alt_high = src->alt_high;
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if (src->inc_low < dst->inc_low)
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dst->inc_low = src->inc_low;
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if (src->inc_high > dst->inc_high)
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dst->inc_high = src->inc_high;
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}
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/* ----------------------------------------------------------------
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* alt_separation -- minimum altitude gap between two keys
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*
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* Returns 0 if the altitude bands overlap.
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* Used for KNN distance (altitude-dominant ordering).
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* ----------------------------------------------------------------
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*/
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static inline double
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alt_separation(const tle_orbital_key *a, const tle_orbital_key *b)
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{
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if (a->alt_high < b->alt_low)
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return b->alt_low - a->alt_high;
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if (b->alt_high < a->alt_low)
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return a->alt_low - b->alt_high;
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return 0.0;
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}
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/* ================================================================
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* SQL-callable operators
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* ================================================================
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*/
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/*
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* tle_overlap(tle, tle) -> bool [the && operator]
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*
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* True if two TLEs overlap in both altitude AND inclination.
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* This is a fast pre-filter: overlapping keys are necessary
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* but not sufficient for actual conjunction.
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*/
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Datum
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tle_overlap(PG_FUNCTION_ARGS)
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{
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pg_tle *a = (pg_tle *) PG_GETARG_POINTER(0);
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pg_tle *b = (pg_tle *) PG_GETARG_POINTER(1);
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tle_orbital_key ka, kb;
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tle_to_orbital_key(a, &ka);
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tle_to_orbital_key(b, &kb);
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PG_RETURN_BOOL(key_overlaps(&ka, &kb));
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}
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/*
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* tle_alt_distance(tle, tle) -> float8 [the <-> operator]
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*
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* Minimum altitude-band separation in km. Returns 0 if the bands
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* overlap. This is not the physical distance between the objects --
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* it is the gap between their orbital shells, useful for ordering
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* nearest-neighbor queries without propagation.
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*
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* Altitude-only: inclination weighting adds complexity without
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* meaningful benefit for KNN conjunction screening.
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*/
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Datum
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tle_alt_distance(PG_FUNCTION_ARGS)
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{
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pg_tle *a = (pg_tle *) PG_GETARG_POINTER(0);
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pg_tle *b = (pg_tle *) PG_GETARG_POINTER(1);
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tle_orbital_key ka, kb;
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tle_to_orbital_key(a, &ka);
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tle_to_orbital_key(b, &kb);
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PG_RETURN_FLOAT8(alt_separation(&ka, &kb));
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}
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/* ================================================================
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* GiST support functions
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* ================================================================
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*/
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/*
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* gist_tle_compress -- extract orbital key from a leaf TLE
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*
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* Leaf entries carry the full pg_tle; we compress to tle_orbital_key.
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* Internal entries are already tle_orbital_key from union operations.
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*/
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Datum
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gist_tle_compress(PG_FUNCTION_ARGS)
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{
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GISTENTRY *entry = (GISTENTRY *) PG_GETARG_POINTER(0);
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GISTENTRY *retval;
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if (entry->leafkey)
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{
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pg_tle *tle = (pg_tle *) DatumGetPointer(entry->key);
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tle_orbital_key *key = (tle_orbital_key *) palloc(sizeof(tle_orbital_key));
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tle_to_orbital_key(tle, key);
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retval = (GISTENTRY *) palloc(sizeof(GISTENTRY));
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gistentryinit(*retval, PointerGetDatum(key),
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entry->rel, entry->page, entry->offset, false);
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}
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else
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{
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/* Internal node: already a tle_orbital_key */
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retval = entry;
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}
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PG_RETURN_POINTER(retval);
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}
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/*
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* gist_tle_decompress -- identity (we operate on compressed keys directly)
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*/
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Datum
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gist_tle_decompress(PG_FUNCTION_ARGS)
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{
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PG_RETURN_POINTER(PG_GETARG_POINTER(0));
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}
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/*
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* gist_tle_consistent -- can this subtree contain matches for the query?
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*
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* Checks overlap in both altitude AND inclination dimensions.
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* Always sets recheck = true because 2-D overlap is only a necessary
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* condition -- the real conjunction test requires propagation.
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*/
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Datum
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gist_tle_consistent(PG_FUNCTION_ARGS)
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{
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GISTENTRY *entry = (GISTENTRY *) PG_GETARG_POINTER(0);
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pg_tle *query = (pg_tle *) PG_GETARG_POINTER(1);
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StrategyNumber strategy = (StrategyNumber) PG_GETARG_UINT16(2);
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/* arg 3 is the query type OID, unused */
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bool *recheck = (bool *) PG_GETARG_POINTER(4);
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tle_orbital_key *key = (tle_orbital_key *) DatumGetPointer(entry->key);
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tle_orbital_key query_key;
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bool result;
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tle_to_orbital_key(query, &query_key);
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*recheck = true;
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switch (strategy)
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{
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case RTOverlapStrategyNumber: /* && */
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result = key_overlaps(key, &query_key);
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break;
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case RTContainedByStrategyNumber: /* <@ */
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if (GIST_LEAF(entry))
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result = key_contains(&query_key, key);
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else
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result = key_overlaps(key, &query_key);
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break;
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case RTContainsStrategyNumber: /* @> */
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if (GIST_LEAF(entry))
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result = key_contains(key, &query_key);
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else
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result = key_overlaps(key, &query_key);
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break;
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default:
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elog(ERROR, "gist_tle_consistent: unrecognized strategy %d",
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strategy);
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result = false;
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break;
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}
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PG_RETURN_BOOL(result);
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}
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/*
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* gist_tle_union -- compute 2-D bounding box for a set of entries
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*
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* The union is [min(alt_low), max(alt_high)] x [min(inc_low), max(inc_high)].
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*/
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Datum
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gist_tle_union(PG_FUNCTION_ARGS)
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{
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GistEntryVector *entryvec = (GistEntryVector *) PG_GETARG_POINTER(0);
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int *sizep = (int *) PG_GETARG_POINTER(1);
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int i;
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tle_orbital_key *result;
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tle_orbital_key *cur;
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result = (tle_orbital_key *) palloc(sizeof(tle_orbital_key));
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cur = (tle_orbital_key *) DatumGetPointer(entryvec->vector[0].key);
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*result = *cur;
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for (i = 1; i < entryvec->n; i++)
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{
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cur = (tle_orbital_key *) DatumGetPointer(entryvec->vector[i].key);
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key_merge(result, cur);
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}
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*sizep = sizeof(tle_orbital_key);
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PG_RETURN_POINTER(result);
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}
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/*
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* gist_tle_penalty -- cost of inserting a new entry into an existing subtree
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*
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* Uses margin (half-perimeter) instead of area. Leaf entries have
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* inc_low == inc_high, giving zero area -- area-based penalty would
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* degenerate to 0 for every insertion, making the tree random.
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* Margin remains non-zero for degenerate (zero-width) bounding boxes.
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*/
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Datum
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gist_tle_penalty(PG_FUNCTION_ARGS)
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{
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GISTENTRY *origentry = (GISTENTRY *) PG_GETARG_POINTER(0);
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GISTENTRY *newentry = (GISTENTRY *) PG_GETARG_POINTER(1);
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float *penalty = (float *) PG_GETARG_POINTER(2);
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tle_orbital_key *orig = (tle_orbital_key *) DatumGetPointer(origentry->key);
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tle_orbital_key *add = (tle_orbital_key *) DatumGetPointer(newentry->key);
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double orig_margin;
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double merged_margin;
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orig_margin = (orig->alt_high - orig->alt_low)
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+ (orig->inc_high - orig->inc_low);
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merged_margin = (fmax(orig->alt_high, add->alt_high) - fmin(orig->alt_low, add->alt_low))
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+ (fmax(orig->inc_high, add->inc_high) - fmin(orig->inc_low, add->inc_low));
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*penalty = (float)(merged_margin - orig_margin);
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PG_RETURN_POINTER(penalty);
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}
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/*
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* Comparison callback for qsort in picksplit.
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* Sorts entries by a sort key chosen at call time.
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*/
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typedef struct
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{
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int index; /* position in the original entry vector */
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double sortval; /* midpoint in the chosen dimension */
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} picksplit_item;
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static int
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picksplit_cmp(const void *a, const void *b)
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{
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double ma = ((const picksplit_item *) a)->sortval;
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double mb = ((const picksplit_item *) b)->sortval;
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if (ma < mb)
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return -1;
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if (ma > mb)
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return 1;
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return 0;
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}
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/*
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* gist_tle_picksplit -- split an overfull page into two groups
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*
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* Standard R-tree approach: compute spread in both dimensions, split
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* along whichever dimension has the greater spread. This prevents
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* the tree from becoming biased toward one dimension.
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*/
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Datum
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gist_tle_picksplit(PG_FUNCTION_ARGS)
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{
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GistEntryVector *entryvec = (GistEntryVector *) PG_GETARG_POINTER(0);
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GIST_SPLITVEC *splitvec = (GIST_SPLITVEC *) PG_GETARG_POINTER(1);
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int nentries = entryvec->n;
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picksplit_item *items;
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tle_orbital_key *left_union;
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tle_orbital_key *right_union;
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tle_orbital_key *cur;
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int split_at;
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int i;
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double alt_min, alt_max, inc_min, inc_max;
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double alt_spread, inc_spread;
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bool split_on_alt;
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/* First pass: compute spread in both dimensions */
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cur = (tle_orbital_key *) DatumGetPointer(entryvec->vector[0].key);
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alt_min = (cur->alt_low + cur->alt_high) / 2.0;
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alt_max = alt_min;
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inc_min = (cur->inc_low + cur->inc_high) / 2.0;
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inc_max = inc_min;
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for (i = 1; i < nentries; i++)
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{
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double alt_mid, inc_mid;
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cur = (tle_orbital_key *) DatumGetPointer(entryvec->vector[i].key);
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alt_mid = (cur->alt_low + cur->alt_high) / 2.0;
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inc_mid = (cur->inc_low + cur->inc_high) / 2.0;
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if (alt_mid < alt_min) alt_min = alt_mid;
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if (alt_mid > alt_max) alt_max = alt_mid;
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if (inc_mid < inc_min) inc_min = inc_mid;
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if (inc_mid > inc_max) inc_max = inc_mid;
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}
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/*
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* Normalize spreads so they're comparable. Altitude is km above
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* surface (range ~0-35786), inclination in radians (range 0-pi).
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* Divide each by its domain width to get a 0-1 fraction.
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*/
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alt_spread = (alt_max - alt_min) / 35786.0; /* GEO altitude above surface */
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inc_spread = (inc_max - inc_min) / M_PI;
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split_on_alt = (alt_spread >= inc_spread);
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/* Second pass: compute sort values in the chosen dimension */
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items = (picksplit_item *) palloc(sizeof(picksplit_item) * nentries);
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for (i = 0; i < nentries; i++)
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{
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cur = (tle_orbital_key *) DatumGetPointer(entryvec->vector[i].key);
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items[i].index = i;
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if (split_on_alt)
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items[i].sortval = (cur->alt_low + cur->alt_high) / 2.0;
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else
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items[i].sortval = (cur->inc_low + cur->inc_high) / 2.0;
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}
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qsort(items, nentries, sizeof(picksplit_item), picksplit_cmp);
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split_at = nentries / 2;
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/* Allocate offset arrays (GiST uses OffsetNumber, 1-based) */
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splitvec->spl_left = (OffsetNumber *) palloc(sizeof(OffsetNumber) * nentries);
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splitvec->spl_right = (OffsetNumber *) palloc(sizeof(OffsetNumber) * nentries);
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splitvec->spl_nleft = 0;
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|
splitvec->spl_nright = 0;
|
|
|
|
/* Compute union keys and assign entries */
|
|
left_union = (tle_orbital_key *) palloc(sizeof(tle_orbital_key));
|
|
right_union = (tle_orbital_key *) palloc(sizeof(tle_orbital_key));
|
|
|
|
/* Seed the unions from the first entry in each half */
|
|
cur = (tle_orbital_key *) DatumGetPointer(
|
|
entryvec->vector[items[0].index].key);
|
|
*left_union = *cur;
|
|
|
|
cur = (tle_orbital_key *) DatumGetPointer(
|
|
entryvec->vector[items[split_at].index].key);
|
|
*right_union = *cur;
|
|
|
|
for (i = 0; i < nentries; i++)
|
|
{
|
|
int idx = items[i].index;
|
|
|
|
cur = (tle_orbital_key *) DatumGetPointer(
|
|
entryvec->vector[idx].key);
|
|
|
|
if (i < split_at)
|
|
{
|
|
splitvec->spl_left[splitvec->spl_nleft++] =
|
|
(OffsetNumber)(idx + 1); /* 1-based */
|
|
key_merge(left_union, cur);
|
|
}
|
|
else
|
|
{
|
|
splitvec->spl_right[splitvec->spl_nright++] =
|
|
(OffsetNumber)(idx + 1);
|
|
key_merge(right_union, cur);
|
|
}
|
|
}
|
|
|
|
splitvec->spl_ldatum = PointerGetDatum(left_union);
|
|
splitvec->spl_rdatum = PointerGetDatum(right_union);
|
|
|
|
pfree(items);
|
|
|
|
PG_RETURN_POINTER(splitvec);
|
|
}
|
|
|
|
|
|
/*
|
|
* gist_tle_same -- equality test on compressed keys
|
|
*
|
|
* Two orbital keys are "same" if all four bounds match within
|
|
* tolerance. This lets the GiST machinery detect duplicate keys.
|
|
*/
|
|
Datum
|
|
gist_tle_same(PG_FUNCTION_ARGS)
|
|
{
|
|
tle_orbital_key *a = (tle_orbital_key *) PG_GETARG_POINTER(0);
|
|
tle_orbital_key *b = (tle_orbital_key *) PG_GETARG_POINTER(1);
|
|
bool *result = (bool *) PG_GETARG_POINTER(2);
|
|
|
|
*result = (fabs(a->alt_low - b->alt_low) < KEY_EPSILON
|
|
&& fabs(a->alt_high - b->alt_high) < KEY_EPSILON
|
|
&& fabs(a->inc_low - b->inc_low) < KEY_EPSILON
|
|
&& fabs(a->inc_high - b->inc_high) < KEY_EPSILON);
|
|
|
|
PG_RETURN_POINTER(result);
|
|
}
|
|
|
|
|
|
/*
|
|
* gist_tle_distance -- GiST distance function for KNN ordering
|
|
*
|
|
* Returns the minimum altitude-band separation in km.
|
|
* For overlapping ranges this is 0, making the entry a candidate.
|
|
* The planner uses this to drive ORDER BY <-> queries.
|
|
*
|
|
* Altitude-only: conjunction screening is altitude-dominant.
|
|
* Inclination weighting can be added later if needed.
|
|
*/
|
|
Datum
|
|
gist_tle_distance(PG_FUNCTION_ARGS)
|
|
{
|
|
GISTENTRY *entry = (GISTENTRY *) PG_GETARG_POINTER(0);
|
|
pg_tle *query = (pg_tle *) PG_GETARG_POINTER(1);
|
|
/* strategy number at arg 2, unused for single-distance class */
|
|
tle_orbital_key *key = (tle_orbital_key *) DatumGetPointer(entry->key);
|
|
tle_orbital_key query_key;
|
|
|
|
tle_to_orbital_key(query, &query_key);
|
|
|
|
PG_RETURN_FLOAT8(alt_separation(key, &query_key));
|
|
}
|