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Speeding up tippecanoe-overzoom (#191)

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* Speed up mvt_value comparison

* Converting repetitive ifs to cases

* More conversions from ifs to cases

* Optimize the always-true filter case

* Don't convert types of attributes without accumulators

* Unordered map seems to be faster than map

* Add missing header

* Fix some warnings

* Fix the warnings better

* Avoid an int->string->int conversion

* Lazily initialize layer key and values maps when actually needed

* More switches from maps to unordered_maps

* Sure, I'll take the microoptimization

* More emplacement

* Save some copies

* Emplaces and moves

* Lazy linear scan of attributes instead of building a map

* Extra printfs, missing header

* Avoid clipping if the input and output tiles are the same

* But do clip if the tile extent is being reduced

* Make sure I'm not constructing std::strings here at runtime

* More worrying about runtime string construction

* A couple more std::moves

* Const references!

* More const references

* Another std::move

* Make the string_value of mvt_value std::optional

* Reserve storage when decoding

* Provision for different mvt_values to share a string pool

* Use the string pool when decoding

* Avoid another string construction

* Try limiting the depth of the search for duplicate attributes

* Revert "Try limiting the depth of the search for duplicate attributes"

This reverts commit 9ec94a15ff.

* Update changelog

* Fix typo noticed during code review
This commit is contained in:
Erica Fischer
2024-01-29 11:33:56 -08:00
committed by GitHub
parent cbf222754b
commit 7d4d264d50
20 changed files with 553 additions and 276 deletions
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main.cpp
+7 -7
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@@ -448,7 +448,7 @@ void *run_sort(void *v) {
return NULL;
}
void do_read_parallel(char *map, long long len, long long initial_offset, const char *reading, std::vector<struct reader> *readers, std::atomic<long long> *progress_seq, std::set<std::string> *exclude, std::set<std::string> *include, int exclude_all, int basezoom, int source, std::vector<std::map<std::string, layermap_entry> > *layermaps, int *initialized, unsigned *initial_x, unsigned *initial_y, int maxzoom, std::string layername, bool uses_gamma, std::map<std::string, int> const *attribute_types, int separator, double *dist_sum, size_t *dist_count, double *area_sum, bool want_dist, bool filters) {
void do_read_parallel(char *map, long long len, long long initial_offset, const char *reading, std::vector<struct reader> *readers, std::atomic<long long> *progress_seq, std::set<std::string> *exclude, std::set<std::string> *include, int exclude_all, int basezoom, int source, std::vector<std::map<std::string, layermap_entry> > *layermaps, int *initialized, unsigned *initial_x, unsigned *initial_y, int maxzoom, std::string layername, bool uses_gamma, std::unordered_map<std::string, int> const *attribute_types, int separator, double *dist_sum, size_t *dist_count, double *area_sum, bool want_dist, bool filters) {
long long segs[CPUS + 1];
segs[0] = 0;
segs[CPUS] = len;
@@ -649,7 +649,7 @@ struct read_parallel_arg {
unsigned *initial_y = NULL;
std::string layername = "";
bool uses_gamma = false;
std::map<std::string, int> const *attribute_types = NULL;
std::unordered_map<std::string, int> const *attribute_types = NULL;
double *dist_sum = NULL;
size_t *dist_count = NULL;
double *area_sum = NULL;
@@ -693,7 +693,7 @@ void *run_read_parallel(void *v) {
return NULL;
}
void start_parsing(int fd, STREAM *fp, long long offset, long long len, std::atomic<int> *is_parsing, pthread_t *parallel_parser, bool &parser_created, const char *reading, std::vector<struct reader> *readers, std::atomic<long long> *progress_seq, std::set<std::string> *exclude, std::set<std::string> *include, int exclude_all, int basezoom, int source, std::vector<std::map<std::string, layermap_entry> > &layermaps, int *initialized, unsigned *initial_x, unsigned *initial_y, int maxzoom, std::string layername, bool uses_gamma, std::map<std::string, int> const *attribute_types, int separator, double *dist_sum, size_t *dist_count, double *area_sum, bool want_dist, bool filters) {
void start_parsing(int fd, STREAM *fp, long long offset, long long len, std::atomic<int> *is_parsing, pthread_t *parallel_parser, bool &parser_created, const char *reading, std::vector<struct reader> *readers, std::atomic<long long> *progress_seq, std::set<std::string> *exclude, std::set<std::string> *include, int exclude_all, int basezoom, int source, std::vector<std::map<std::string, layermap_entry> > &layermaps, int *initialized, unsigned *initial_x, unsigned *initial_y, int maxzoom, std::string layername, bool uses_gamma, std::unordered_map<std::string, int> const *attribute_types, int separator, double *dist_sum, size_t *dist_count, double *area_sum, bool want_dist, bool filters) {
// This has to kick off an intermediate thread to start the parser threads,
// so the main thread can get back to reading the next input stage while
// the intermediate thread waits for the completion of the parser threads.
@@ -1237,7 +1237,7 @@ int vertexcmp(const void *void1, const void *void2) {
return 0;
}
std::pair<int, metadata> read_input(std::vector<source> &sources, char *fname, int maxzoom, int minzoom, int basezoom, double basezoom_marker_width, sqlite3 *outdb, const char *outdir, std::set<std::string> *exclude, std::set<std::string> *include, int exclude_all, json_object *filter, double droprate, int buffer, const char *tmpdir, double gamma, int read_parallel, int forcetable, const char *attribution, bool uses_gamma, long long *file_bbox, long long *file_bbox1, long long *file_bbox2, const char *prefilter, const char *postfilter, const char *description, bool guess_maxzoom, bool guess_cluster_maxzoom, std::map<std::string, int> const *attribute_types, const char *pgm, std::map<std::string, attribute_op> const *attribute_accum, std::map<std::string, std::string> const &attribute_descriptions, std::string const &commandline, int minimum_maxzoom) {
std::pair<int, metadata> read_input(std::vector<source> &sources, char *fname, int maxzoom, int minzoom, int basezoom, double basezoom_marker_width, sqlite3 *outdb, const char *outdir, std::set<std::string> *exclude, std::set<std::string> *include, int exclude_all, json_object *filter, double droprate, int buffer, const char *tmpdir, double gamma, int read_parallel, int forcetable, const char *attribution, bool uses_gamma, long long *file_bbox, long long *file_bbox1, long long *file_bbox2, const char *prefilter, const char *postfilter, const char *description, bool guess_maxzoom, bool guess_cluster_maxzoom, std::unordered_map<std::string, int> const *attribute_types, const char *pgm, std::unordered_map<std::string, attribute_op> const *attribute_accum, std::map<std::string, std::string> const &attribute_descriptions, std::string const &commandline, int minimum_maxzoom) {
int ret = EXIT_SUCCESS;
std::vector<struct reader> readers;
@@ -2845,7 +2845,7 @@ static bool has_name(struct option *long_options, int *pl) {
return false;
}
void set_attribute_type(std::map<std::string, int> &attribute_types, const char *arg) {
void set_attribute_type(std::unordered_map<std::string, int> &attribute_types, const char *arg) {
const char *s = strchr(arg, ':');
if (s == NULL) {
fprintf(stderr, "-T%s option must be in the form -Tname:type\n", arg);
@@ -3005,8 +3005,8 @@ int main(int argc, char **argv) {
bool guess_cluster_maxzoom = false;
std::set<std::string> exclude, include;
std::map<std::string, int> attribute_types;
std::map<std::string, attribute_op> attribute_accum;
std::unordered_map<std::string, int> attribute_types;
std::unordered_map<std::string, attribute_op> attribute_accum;
std::map<std::string, std::string> attribute_descriptions;
int exclude_all = 0;
int read_parallel = 0;