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Implement BloomFilter query pushdown optimization #271
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dai-chen
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dai-chen:implement-bloom-filter-query-pushdown
Mar 11, 2024
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72a4f32
Add pushdown optimization by painless script
dai-chen 91a0ece
Update UT and indent script code
dai-chen 9888af8
Minor refactor painless script
dai-chen 0d60837
Fix broken IT
dai-chen 8c93f63
Merge branch 'main' into implement-bloom-filter-query-pushdown
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109 changes: 109 additions & 0 deletions
109
flint-spark-integration/src/main/resources/bloom_filter_query.script
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Original file line number | Diff line number | Diff line change |
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int hashLong(long input, int seed) { | ||
int low = (int) input; | ||
int high = (int) (input >>> 32); | ||
int k1 = mixK1(low); | ||
int h1 = mixH1(seed, k1); | ||
k1 = mixK1(high); | ||
h1 = mixH1(h1, k1); | ||
return fmix(h1, 8); | ||
} | ||
|
||
int mixK1(int k1) { | ||
k1 *= 0xcc9e2d51L; | ||
k1 = Integer.rotateLeft(k1, 15); | ||
k1 *= 0x1b873593L; | ||
return k1; | ||
} | ||
|
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int mixH1(int h1, int k1) { | ||
h1 ^= k1; | ||
h1 = Integer.rotateLeft(h1, 13); | ||
h1 = h1 * 5 + (int) 0xe6546b64L; | ||
return h1; | ||
} | ||
|
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int fmix(int h1, int length) { | ||
h1 ^= length; | ||
h1 ^= h1 >>> 16; | ||
h1 *= 0x85ebca6bL; | ||
h1 ^= h1 >>> 13; | ||
h1 *= 0xc2b2ae35L; | ||
h1 ^= h1 >>> 16; | ||
return h1; | ||
} | ||
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BytesRef bfBytes = doc[params.fieldName].value; | ||
byte[] buf = bfBytes.bytes; | ||
int pos = 0; | ||
int count = buf.length; | ||
int ch1 = (pos < count) ? (buf[pos++] & (int) 0xffL) : -1; | ||
int ch2 = (pos < count) ? (buf[pos++] & (int) 0xffL) : -1; | ||
int ch3 = (pos < count) ? (buf[pos++] & (int) 0xffL) : -1; | ||
int ch4 = (pos < count) ? (buf[pos++] & (int) 0xffL) : -1; | ||
int version = ((ch1 << 24) + (ch2 << 16) + (ch3 << 8) + (ch4 << 0)); | ||
ch1 = (pos < count) ? (buf[pos++] & (int) 0xffL) : -1; | ||
ch2 = (pos < count) ? (buf[pos++] & (int) 0xffL) : -1; | ||
ch3 = (pos < count) ? (buf[pos++] & (int) 0xffL) : -1; | ||
ch4 = (pos < count) ? (buf[pos++] & (int) 0xffL) : -1; | ||
int numHashFunctions = ((ch1 << 24) + (ch2 << 16) + (ch3 << 8) + (ch4 << 0)); | ||
ch1 = (pos < count) ? (buf[pos++] & (int) 0xffL) : -1; | ||
ch2 = (pos < count) ? (buf[pos++] & (int) 0xffL) : -1; | ||
ch3 = (pos < count) ? (buf[pos++] & (int) 0xffL) : -1; | ||
ch4 = (pos < count) ? (buf[pos++] & (int) 0xffL) : -1; | ||
int numWords = ((ch1 << 24) + (ch2 << 16) + (ch3 << 8) + (ch4 << 0)); | ||
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long[] data = new long[numWords]; | ||
byte[] readBuffer = new byte[8]; | ||
for (int i = 0; i < numWords; i++) { | ||
int n = 0; | ||
while (n < 8) { | ||
int readCount; | ||
int off = n; | ||
int len = 8 - n; | ||
if (pos >= count) { | ||
readCount = -1; | ||
} else { | ||
int avail = count - pos; | ||
if (len > avail) { | ||
len = avail; | ||
} | ||
if (len <= 0) { | ||
readCount = 0; | ||
} else { | ||
System.arraycopy(buf, pos, readBuffer, off, len); | ||
pos += len; | ||
readCount = len; | ||
} | ||
} | ||
n += readCount; | ||
} | ||
data[i] = (((long) readBuffer[0] << 56) + | ||
((long) (readBuffer[1] & 255) << 48) + | ||
((long) (readBuffer[2] & 255) << 40) + | ||
((long) (readBuffer[3] & 255) << 32) + | ||
((long) (readBuffer[4] & 255) << 24) + | ||
((readBuffer[5] & 255) << 16) + | ||
((readBuffer[6] & 255) << 8) + | ||
((readBuffer[7] & 255) << 0)); | ||
} | ||
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long bitCount = 0; | ||
for (long word : data) { | ||
bitCount += Long.bitCount(word); | ||
} | ||
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long item = params.value; | ||
int h1 = hashLong(item, 0); | ||
int h2 = hashLong(item, h1); | ||
long bitSize = (long) data.length * Long.SIZE; | ||
for (int i = 1; i <= numHashFunctions; i++) { | ||
int combinedHash = h1 + (i * h2); | ||
if (combinedHash < 0) { | ||
combinedHash = ~combinedHash; | ||
} | ||
long index = combinedHash % bitSize; | ||
if ((data[(int) (index >>> 6)] & (1L << index)) == 0) { | ||
return false; | ||
} | ||
} | ||
return true; |
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We can probably minify this removing spaces and changing variable names. That reduces readability. Not sure if we can add a step in final build before bundling.
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Ignore if it is too much optimization and we are way below limits.
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Good point. I recall in C there is tool compress/obfuscate the code. Painless is not that popular that I'm not sure if any tool rather than do this manually. Will take another look. Thanks!
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Since painless is mainly java, I just used this https://www.aspect-ratios.com/minify-java/
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I'm thinking of something at runtime when loading or sending to OpenSearch. Otherwise like you pointed out, it will result in code hard to maintain? Will make a note and address it if any issue found later. Thanks!