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Add word_similarity to pg_trgm contrib module.
Patch introduces a concept of similarity over string and just a word from another string. Version of extension is not changed because 1.2 was already introduced in 9.6 release cycle, so, there wasn't a public version. Author: Alexander Korotkov, Artur Zakirov
This commit is contained in:
@ -15,7 +15,8 @@
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PG_MODULE_MAGIC;
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/* GUC variables */
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double similarity_threshold = 0.3f;
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double similarity_threshold = 0.3f;
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double word_similarity_threshold = 0.6f;
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void _PG_init(void);
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@ -23,8 +24,20 @@ PG_FUNCTION_INFO_V1(set_limit);
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PG_FUNCTION_INFO_V1(show_limit);
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PG_FUNCTION_INFO_V1(show_trgm);
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PG_FUNCTION_INFO_V1(similarity);
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PG_FUNCTION_INFO_V1(word_similarity);
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PG_FUNCTION_INFO_V1(similarity_dist);
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PG_FUNCTION_INFO_V1(similarity_op);
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PG_FUNCTION_INFO_V1(word_similarity_op);
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PG_FUNCTION_INFO_V1(word_similarity_commutator_op);
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PG_FUNCTION_INFO_V1(word_similarity_dist_op);
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PG_FUNCTION_INFO_V1(word_similarity_dist_commutator_op);
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/* Trigram with position */
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typedef struct
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{
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trgm trg;
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int index;
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} pos_trgm;
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/*
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* Module load callback
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@ -45,11 +58,23 @@ _PG_init(void)
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NULL,
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NULL,
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NULL);
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DefineCustomRealVariable("pg_trgm.word_similarity_threshold",
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"Sets the threshold used by the <%% operator.",
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"Valid range is 0.0 .. 1.0.",
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&word_similarity_threshold,
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0.6,
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0.0,
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1.0,
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PGC_USERSET,
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0,
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NULL,
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NULL,
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NULL);
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}
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/*
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* Deprecated function.
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* Use "pg_trgm.similarity_threshold" GUC variable instead of this function
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* Use "pg_trgm.similarity_threshold" GUC variable instead of this function.
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*/
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Datum
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set_limit(PG_FUNCTION_ARGS)
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@ -59,14 +84,14 @@ set_limit(PG_FUNCTION_ARGS)
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if (nlimit < 0 || nlimit > 1.0)
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ereport(ERROR,
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(errcode(ERRCODE_NUMERIC_VALUE_OUT_OF_RANGE),
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errmsg("wrong limit, should be between 0 and 1")));
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errmsg("wrong threshold, should be between 0 and 1")));
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similarity_threshold = nlimit;
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PG_RETURN_FLOAT4(similarity_threshold);
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}
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/*
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* Deprecated function.
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* Use "pg_trgm.similarity_threshold" GUC variable instead of this function
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* Use "pg_trgm.similarity_threshold" GUC variable instead of this function.
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*/
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Datum
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show_limit(PG_FUNCTION_ARGS)
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@ -199,38 +224,28 @@ make_trigrams(trgm *tptr, char *str, int bytelen, int charlen)
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return tptr;
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}
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TRGM *
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generate_trgm(char *str, int slen)
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/*
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* Make array of trigrams without sorting and removing duplicate items.
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*
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* trg: where to return the array of trigrams.
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* str: source string, of length slen bytes.
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*
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* Returns length of the generated array.
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*/
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static int
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generate_trgm_only(trgm *trg, char *str, int slen)
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{
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TRGM *trg;
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char *buf;
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trgm *tptr;
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int len,
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charlen,
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char *buf;
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int charlen,
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bytelen;
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char *bword,
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*eword;
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/*
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* Guard against possible overflow in the palloc requests below. (We
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* don't worry about the additive constants, since palloc can detect
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* requests that are a little above MaxAllocSize --- we just need to
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* prevent integer overflow in the multiplications.)
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*/
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if ((Size) (slen / 2) >= (MaxAllocSize / (sizeof(trgm) * 3)) ||
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(Size) slen >= (MaxAllocSize / pg_database_encoding_max_length()))
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ereport(ERROR,
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(errcode(ERRCODE_PROGRAM_LIMIT_EXCEEDED),
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errmsg("out of memory")));
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trg = (TRGM *) palloc(TRGMHDRSIZE + sizeof(trgm) * (slen / 2 + 1) *3);
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trg->flag = ARRKEY;
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SET_VARSIZE(trg, TRGMHDRSIZE);
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if (slen + LPADDING + RPADDING < 3 || slen == 0)
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return trg;
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return 0;
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tptr = GETARR(trg);
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tptr = trg;
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/* Allocate a buffer for case-folded, blank-padded words */
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buf = (char *) palloc(slen * pg_database_encoding_max_length() + 4);
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@ -270,7 +285,47 @@ generate_trgm(char *str, int slen)
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pfree(buf);
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if ((len = tptr - GETARR(trg)) == 0)
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return tptr - trg;
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}
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/*
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* Guard against possible overflow in the palloc requests below. (We
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* don't worry about the additive constants, since palloc can detect
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* requests that are a little above MaxAllocSize --- we just need to
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* prevent integer overflow in the multiplications.)
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*/
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static void
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protect_out_of_mem(int slen)
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{
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if ((Size) (slen / 2) >= (MaxAllocSize / (sizeof(trgm) * 3)) ||
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(Size) slen >= (MaxAllocSize / pg_database_encoding_max_length()))
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ereport(ERROR,
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(errcode(ERRCODE_PROGRAM_LIMIT_EXCEEDED),
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errmsg("out of memory")));
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}
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/*
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* Make array of trigrams with sorting and removing duplicate items.
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*
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* str: source string, of length slen bytes.
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*
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* Returns the sorted array of unique trigrams.
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*/
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TRGM *
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generate_trgm(char *str, int slen)
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{
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TRGM *trg;
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int len;
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protect_out_of_mem(slen);
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trg = (TRGM *) palloc(TRGMHDRSIZE + sizeof(trgm) * (slen / 2 + 1) *3);
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trg->flag = ARRKEY;
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len = generate_trgm_only(GETARR(trg), str, slen);
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SET_VARSIZE(trg, CALCGTSIZE(ARRKEY, len));
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if (len == 0)
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return trg;
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/*
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@ -287,6 +342,285 @@ generate_trgm(char *str, int slen)
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return trg;
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}
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/*
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* Make array of positional trigrams from two trigram arrays trg1 and trg2.
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*
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* trg1: trigram array of search pattern, of length len1. trg1 is required
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* word which positions don't matter and replaced with -1.
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* trg2: trigram array of text, of length len2. trg2 is haystack where we
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* search and have to store its positions.
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*
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* Returns concatenated trigram array.
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*/
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static pos_trgm *
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make_positional_trgm(trgm *trg1, int len1, trgm *trg2, int len2)
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{
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pos_trgm *result;
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int i, len = len1 + len2;
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result = (pos_trgm *) palloc(sizeof(pos_trgm) * len);
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for (i = 0; i < len1; i++)
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{
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memcpy(&result[i].trg, &trg1[i], sizeof(trgm));
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result[i].index = -1;
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}
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for (i = 0; i < len2; i++)
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{
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memcpy(&result[i + len1].trg, &trg2[i], sizeof(trgm));
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result[i + len1].index = i;
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}
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return result;
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}
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/*
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* Compare position trigrams: compare trigrams first and position second.
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*/
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static int
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comp_ptrgm(const void *v1, const void *v2)
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{
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const pos_trgm *p1 = (const pos_trgm *)v1;
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const pos_trgm *p2 = (const pos_trgm *)v2;
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int cmp;
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cmp = CMPTRGM(p1->trg, p2->trg);
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if (cmp != 0)
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return cmp;
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if (p1->index < p2->index)
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return -1;
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else if (p1->index == p2->index)
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return 0;
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else
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return 1;
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}
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/*
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* Iterative search function which calculates maximum similarity with word in
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* the string. But maximum similarity is calculated only if check_only == false.
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*
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* trg2indexes: array which stores indexes of the array "found".
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* found: array which stores true of false values.
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* ulen1: count of unique trigrams of array "trg1".
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* len2: length of array "trg2" and array "trg2indexes".
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* len: length of the array "found".
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* check_only: if true then only check existaince of similar search pattern in
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* text.
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*
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* Returns word similarity.
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*/
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static float4
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iterate_word_similarity(int *trg2indexes,
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bool *found,
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int ulen1,
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int len2,
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int len,
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bool check_only)
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{
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int *lastpos,
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i,
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ulen2 = 0,
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count = 0,
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upper = -1,
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lower = -1;
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float4 smlr_cur,
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smlr_max = 0.0f;
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/* Memorise last position of each trigram */
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lastpos = (int *) palloc(sizeof(int) * len);
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memset(lastpos, -1, sizeof(int) * len);
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for (i = 0; i < len2; i++)
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{
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/* Get index of next trigram */
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int trgindex = trg2indexes[i];
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/* Update last position of this trigram */
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if (lower >= 0 || found[trgindex])
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{
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if (lastpos[trgindex] < 0)
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{
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ulen2++;
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if (found[trgindex])
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count++;
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}
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lastpos[trgindex] = i;
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}
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/* Adjust lower bound if this trigram is present in required substing */
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if (found[trgindex])
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{
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int prev_lower,
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tmp_ulen2,
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tmp_lower,
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tmp_count;
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upper = i;
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if (lower == -1)
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{
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lower = i;
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ulen2 = 1;
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}
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smlr_cur = CALCSML(count, ulen1, ulen2);
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/* Also try to adjust upper bound for greater similarity */
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tmp_count = count;
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tmp_ulen2 = ulen2;
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prev_lower = lower;
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for (tmp_lower = lower; tmp_lower <= upper; tmp_lower++)
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{
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float smlr_tmp = CALCSML(tmp_count, ulen1, tmp_ulen2);
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int tmp_trgindex;
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if (smlr_tmp > smlr_cur)
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{
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smlr_cur = smlr_tmp;
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ulen2 = tmp_ulen2;
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lower = tmp_lower;
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count = tmp_count;
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}
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/*
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* if we only check that word similarity is greater than
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* pg_trgm.word_similarity_threshold we do not need to calculate
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* a maximum similarity.
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*/
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if (check_only && smlr_cur >= word_similarity_threshold)
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break;
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tmp_trgindex = trg2indexes[tmp_lower];
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if (lastpos[tmp_trgindex] == tmp_lower)
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{
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tmp_ulen2--;
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if (found[tmp_trgindex])
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tmp_count--;
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}
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}
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smlr_max = Max(smlr_max, smlr_cur);
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/*
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* if we only check that word similarity is greater than
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* pg_trgm.word_similarity_threshold we do not need to calculate a
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* maximum similarity
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*/
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if (check_only && smlr_max >= word_similarity_threshold)
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break;
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for (tmp_lower = prev_lower; tmp_lower < lower; tmp_lower++)
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{
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int tmp_trgindex;
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tmp_trgindex = trg2indexes[tmp_lower];
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if (lastpos[tmp_trgindex] == tmp_lower)
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lastpos[tmp_trgindex] = -1;
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}
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}
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}
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pfree(lastpos);
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return smlr_max;
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}
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/*
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* Calculate word similarity.
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* This function prepare two arrays: "trg2indexes" and "found". Then this arrays
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* are used to calculate word similarity using iterate_word_similarity().
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*
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* "trg2indexes" is array which stores indexes of the array "found".
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* In other words:
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* trg2indexes[j] = i;
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* found[i] = true (or false);
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* If found[i] == true then there is trigram trg2[j] in array "trg1".
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* If found[i] == false then there is not trigram trg2[j] in array "trg1".
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*
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* str1: search pattern string, of length slen1 bytes.
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* str2: text in which we are looking for a word, of length slen2 bytes.
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* check_only: if true then only check existaince of similar search pattern in
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* text.
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*
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* Returns word similarity.
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*/
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static float4
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calc_word_similarity(char *str1, int slen1, char *str2, int slen2,
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bool check_only)
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{
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bool *found;
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pos_trgm *ptrg;
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trgm *trg1;
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trgm *trg2;
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int len1,
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len2,
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len,
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i,
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j,
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ulen1;
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int *trg2indexes;
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float4 result;
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protect_out_of_mem(slen1 + slen2);
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/* Make positional trigrams */
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trg1 = (trgm *) palloc(sizeof(trgm) * (slen1 / 2 + 1) * 3);
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trg2 = (trgm *) palloc(sizeof(trgm) * (slen2 / 2 + 1) * 3);
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len1 = generate_trgm_only(trg1, str1, slen1);
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len2 = generate_trgm_only(trg2, str2, slen2);
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ptrg = make_positional_trgm(trg1, len1, trg2, len2);
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len = len1 + len2;
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qsort(ptrg, len, sizeof(pos_trgm), comp_ptrgm);
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pfree(trg1);
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pfree(trg2);
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/*
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* Merge positional trigrams array: enumerate each trigram and find its
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* presence in required word.
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*/
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trg2indexes = (int *) palloc(sizeof(int) * len2);
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found = (bool *) palloc0(sizeof(bool) * len);
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ulen1 = 0;
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j = 0;
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for (i = 0; i < len; i++)
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{
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if (i > 0)
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{
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int cmp = CMPTRGM(ptrg[i - 1].trg, ptrg[i].trg);
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if (cmp != 0)
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{
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if (found[j])
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ulen1++;
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j++;
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}
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}
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if (ptrg[i].index >= 0)
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{
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trg2indexes[ptrg[i].index] = j;
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}
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else
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{
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found[j] = true;
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}
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}
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if (found[j])
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ulen1++;
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/* Run iterative procedure to find maximum similarity with word */
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result = iterate_word_similarity(trg2indexes, found, ulen1, len2, len,
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check_only);
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pfree(trg2indexes);
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pfree(found);
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pfree(ptrg);
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return result;
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}
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/*
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* Extract the next non-wildcard part of a search string, ie, a word bounded
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* by '_' or '%' meta-characters, non-word characters or string end.
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@ -459,17 +793,7 @@ generate_wildcard_trgm(const char *str, int slen)
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bytelen;
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const char *eword;
|
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|
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/*
|
||||
* Guard against possible overflow in the palloc requests below. (We
|
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* don't worry about the additive constants, since palloc can detect
|
||||
* requests that are a little above MaxAllocSize --- we just need to
|
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* prevent integer overflow in the multiplications.)
|
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*/
|
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if ((Size) (slen / 2) >= (MaxAllocSize / (sizeof(trgm) * 3)) ||
|
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(Size) slen >= (MaxAllocSize / pg_database_encoding_max_length()))
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ereport(ERROR,
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(errcode(ERRCODE_PROGRAM_LIMIT_EXCEEDED),
|
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errmsg("out of memory")));
|
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protect_out_of_mem(slen);
|
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|
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trg = (TRGM *) palloc(TRGMHDRSIZE + sizeof(trgm) * (slen / 2 + 1) *3);
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trg->flag = ARRKEY;
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@ -590,7 +914,7 @@ show_trgm(PG_FUNCTION_ARGS)
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}
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float4
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cnt_sml(TRGM *trg1, TRGM *trg2)
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cnt_sml(TRGM *trg1, TRGM *trg2, bool inexact)
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{
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trgm *ptr1,
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*ptr2;
|
||||
@ -624,14 +948,15 @@ cnt_sml(TRGM *trg1, TRGM *trg2)
|
||||
}
|
||||
}
|
||||
|
||||
#ifdef DIVUNION
|
||||
return ((float4) count) / ((float4) (len1 + len2 - count));
|
||||
#else
|
||||
return ((float4) count) / ((float4) ((len1 > len2) ? len1 : len2));
|
||||
#endif
|
||||
|
||||
/*
|
||||
* If inexact then len2 is equal to count, because we don't know actual
|
||||
* length of second string in inexact search and we can assume that count
|
||||
* is a lower bound of len2.
|
||||
*/
|
||||
return CALCSML(count, len1, inexact ? count : len2);
|
||||
}
|
||||
|
||||
|
||||
/*
|
||||
* Returns whether trg2 contains all trigrams in trg1.
|
||||
* This relies on the trigram arrays being sorted.
|
||||
@ -726,7 +1051,7 @@ similarity(PG_FUNCTION_ARGS)
|
||||
trg1 = generate_trgm(VARDATA(in1), VARSIZE(in1) - VARHDRSZ);
|
||||
trg2 = generate_trgm(VARDATA(in2), VARSIZE(in2) - VARHDRSZ);
|
||||
|
||||
res = cnt_sml(trg1, trg2);
|
||||
res = cnt_sml(trg1, trg2, false);
|
||||
|
||||
pfree(trg1);
|
||||
pfree(trg2);
|
||||
@ -736,6 +1061,22 @@ similarity(PG_FUNCTION_ARGS)
|
||||
PG_RETURN_FLOAT4(res);
|
||||
}
|
||||
|
||||
Datum
|
||||
word_similarity(PG_FUNCTION_ARGS)
|
||||
{
|
||||
text *in1 = PG_GETARG_TEXT_PP(0);
|
||||
text *in2 = PG_GETARG_TEXT_PP(1);
|
||||
float4 res;
|
||||
|
||||
res = calc_word_similarity(VARDATA_ANY(in1), VARSIZE_ANY_EXHDR(in1),
|
||||
VARDATA_ANY(in2), VARSIZE_ANY_EXHDR(in2),
|
||||
false);
|
||||
|
||||
PG_FREE_IF_COPY(in1, 0);
|
||||
PG_FREE_IF_COPY(in2, 1);
|
||||
PG_RETURN_FLOAT4(res);
|
||||
}
|
||||
|
||||
Datum
|
||||
similarity_dist(PG_FUNCTION_ARGS)
|
||||
{
|
||||
@ -755,3 +1096,67 @@ similarity_op(PG_FUNCTION_ARGS)
|
||||
|
||||
PG_RETURN_BOOL(res >= similarity_threshold);
|
||||
}
|
||||
|
||||
Datum
|
||||
word_similarity_op(PG_FUNCTION_ARGS)
|
||||
{
|
||||
text *in1 = PG_GETARG_TEXT_PP(0);
|
||||
text *in2 = PG_GETARG_TEXT_PP(1);
|
||||
float4 res;
|
||||
|
||||
res = calc_word_similarity(VARDATA_ANY(in1), VARSIZE_ANY_EXHDR(in1),
|
||||
VARDATA_ANY(in2), VARSIZE_ANY_EXHDR(in2),
|
||||
true);
|
||||
|
||||
PG_FREE_IF_COPY(in1, 0);
|
||||
PG_FREE_IF_COPY(in2, 1);
|
||||
PG_RETURN_BOOL(res >= word_similarity_threshold);
|
||||
}
|
||||
|
||||
Datum
|
||||
word_similarity_commutator_op(PG_FUNCTION_ARGS)
|
||||
{
|
||||
text *in1 = PG_GETARG_TEXT_PP(0);
|
||||
text *in2 = PG_GETARG_TEXT_PP(1);
|
||||
float4 res;
|
||||
|
||||
res = calc_word_similarity(VARDATA_ANY(in2), VARSIZE_ANY_EXHDR(in2),
|
||||
VARDATA_ANY(in1), VARSIZE_ANY_EXHDR(in1),
|
||||
true);
|
||||
|
||||
PG_FREE_IF_COPY(in1, 0);
|
||||
PG_FREE_IF_COPY(in2, 1);
|
||||
PG_RETURN_BOOL(res >= word_similarity_threshold);
|
||||
}
|
||||
|
||||
Datum
|
||||
word_similarity_dist_op(PG_FUNCTION_ARGS)
|
||||
{
|
||||
text *in1 = PG_GETARG_TEXT_PP(0);
|
||||
text *in2 = PG_GETARG_TEXT_PP(1);
|
||||
float4 res;
|
||||
|
||||
res = calc_word_similarity(VARDATA_ANY(in1), VARSIZE_ANY_EXHDR(in1),
|
||||
VARDATA_ANY(in2), VARSIZE_ANY_EXHDR(in2),
|
||||
false);
|
||||
|
||||
PG_FREE_IF_COPY(in1, 0);
|
||||
PG_FREE_IF_COPY(in2, 1);
|
||||
PG_RETURN_FLOAT4(1.0 - res);
|
||||
}
|
||||
|
||||
Datum
|
||||
word_similarity_dist_commutator_op(PG_FUNCTION_ARGS)
|
||||
{
|
||||
text *in1 = PG_GETARG_TEXT_PP(0);
|
||||
text *in2 = PG_GETARG_TEXT_PP(1);
|
||||
float4 res;
|
||||
|
||||
res = calc_word_similarity(VARDATA_ANY(in2), VARSIZE_ANY_EXHDR(in2),
|
||||
VARDATA_ANY(in1), VARSIZE_ANY_EXHDR(in1),
|
||||
false);
|
||||
|
||||
PG_FREE_IF_COPY(in1, 0);
|
||||
PG_FREE_IF_COPY(in2, 1);
|
||||
PG_RETURN_FLOAT4(1.0 - res);
|
||||
}
|
||||
|
Reference in New Issue
Block a user