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我想使用這個代碼來過濾大文件。目前我很難編碼散列表的大小,假設輸入有五千萬行。我希望行的總數是散列表大小的37%。目前已經實現了這個目標,0x8000000的37%約爲5000萬。但是,實際上,在我開始處理之前,我不會知道輸入的大小。我怎樣才能修改代碼來自動調整散列表的大小,使其尺寸合適?速度也很重要,因爲過濾的目的是爲了節省時間。如何製作靈活大小的哈希表
#include <stdlib.h>
#include <stdio.h>
#include <stdint.h>
#include <string.h>
// Should be 37% occupied with 50m entries
#define TABLE_SIZE 0x8000000
#define MASK (TABLE_SIZE - 1)
#define BUFFER_SIZE 16384
#define END_OF_FILE (-1)
#define DEFAULT_VALUE (-1)
typedef struct Row {
int32_t a;
int32_t b;
int32_t t;
} Row;
int32_t hash(int32_t a) {
return a * 428916315;
}
void insert(Row * table, Row row) {
long loc = hash(row.a) & MASK; // Entries are hashed on a
long inc = 0;
while (inc <= TABLE_SIZE) {
loc = (loc + inc) & MASK;
inc++;
if (table[loc].a == DEFAULT_VALUE) {
table[loc] = row;
break;
}
}
}
int readChar(FILE * input, char * buffer, int * pos, int * limit) {
if (*limit < *pos) {
return buffer[(*limit)++];
} else {
*limit = 0;
*pos = fread(buffer, sizeof(char), BUFFER_SIZE, input);
if (*limit < *pos) {
return buffer[(*limit)++];
} else return END_OF_FILE;
}
}
void readAll(char * fileName, Row * table) {
char* buffer = (char*) malloc(sizeof(char) * BUFFER_SIZE);
int limit = 0;
int pos = 0;
FILE * input = fopen(fileName, "rb");
int lastRead;
Row currentRow;
uint32_t * currentElement = &(currentRow.a);
// As with the Scala version, we read rows with an FSM. We can
// roll up some of the code using the `currentElement` pointer
while (1) {
switch(lastRead = readChar(input, buffer, &pos, &limit)) {
case END_OF_FILE:
fclose(input);
return;
case ' ':
if (currentElement == &(currentRow.a)) currentElement = &(currentRow.b);
else currentElement = &(currentRow.t);
break;
case '\n':
insert(table, currentRow);
currentRow.a = 0;
currentRow.b = 0;
currentRow.t = 0;
currentElement = &(currentRow.a);
break;
default:
*currentElement = *currentElement * 10 + (lastRead - '0');
break;
}
}
//printf("Read %d", lastRead);
}
int main() {
Row* table = (Row*) malloc(sizeof(Row) * TABLE_SIZE);
memset(table, 255, sizeof(Row) * TABLE_SIZE);
readAll("test.file", table);
// We'll iterate through our hash table inline - passing a callback
// is trickier in C than in Scala, so we just don't bother
for (size_t i = 0; i < TABLE_SIZE; i++) {
Row * this = table + i;
if (this->a != DEFAULT_VALUE) {
// Lookup entries `that`, where `that.a == this.b`
long loc = hash(this->b) & MASK;
long inc = 0;
while (inc <= TABLE_SIZE) {
loc = (loc + inc) & MASK;
inc++;
Row * that = table + loc;
if ((this->b == that->a) && (0 <= that->t - this->t) && (that->t - this->t < 100)) {
// Conditions are symmetric, so we output both rows
printf("%d %d %d\n", this->a, this->b, this->t);
printf("%d %d %d\n", that->a, that->b, that->t);
}
else if (that->b == DEFAULT_VALUE) break;
}
}
}
free(table);
return 0;
}
您必須重新組織或擴大您的哈希表,例如不時或者當你達到一定的密度閾值時更大的桶。在實踐中,重組幾乎就像製作一個新的哈希表並填入舊錶中的條目。你可能會想要像'newsize = 5 * oldsize/4 + 10;' – 2014-09-05 12:50:08
你不是在處理散列衝突。你可以讓表格中的每個條目成爲「行」的鏈接列表。 – ericbn 2014-09-05 12:55:31
@ericbn它是(或至少是它的意思)開放哈希。這應該避免你提到的問題。 https://en.wikipedia.org/wiki/Open_addressing – eleanora 2014-09-05 12:58:12