core/bloombits, eth/filters: handle null topics (#15195)
When implementing the new bloombits based filter, I've accidentally broke null topics by removing the special casing of common.Hash{} filter rules, which acted as the wildcard topic until now. This PR fixes the regression, but instead of using the magic hash common.Hash{} as the null wildcard, the PR reworks the code to handle nil topics during parsing, converting a JSON null into nil []common.Hash topic.
This commit is contained in:
committed by
Felix Lange
parent
860e697b00
commit
2ab2a9f131
@ -21,10 +21,38 @@ import (
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"sync/atomic"
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"testing"
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"time"
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"github.com/ethereum/go-ethereum/common"
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)
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const testSectionSize = 4096
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// Tests that wildcard filter rules (nil) can be specified and are handled well.
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func TestMatcherWildcards(t *testing.T) {
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matcher := NewMatcher(testSectionSize, [][][]byte{
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[][]byte{common.Address{}.Bytes(), common.Address{0x01}.Bytes()}, // Default address is not a wildcard
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[][]byte{common.Hash{}.Bytes(), common.Hash{0x01}.Bytes()}, // Default hash is not a wildcard
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[][]byte{common.Hash{0x01}.Bytes()}, // Plain rule, sanity check
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[][]byte{common.Hash{0x01}.Bytes(), nil}, // Wildcard suffix, drop rule
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[][]byte{nil, common.Hash{0x01}.Bytes()}, // Wildcard prefix, drop rule
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[][]byte{nil, nil}, // Wildcard combo, drop rule
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[][]byte{}, // Inited wildcard rule, drop rule
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nil, // Proper wildcard rule, drop rule
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})
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if len(matcher.filters) != 3 {
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t.Fatalf("filter system size mismatch: have %d, want %d", len(matcher.filters), 3)
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}
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if len(matcher.filters[0]) != 2 {
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t.Fatalf("address clause size mismatch: have %d, want %d", len(matcher.filters[0]), 2)
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}
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if len(matcher.filters[1]) != 2 {
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t.Fatalf("combo topic clause size mismatch: have %d, want %d", len(matcher.filters[1]), 2)
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}
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if len(matcher.filters[2]) != 1 {
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t.Fatalf("singletone topic clause size mismatch: have %d, want %d", len(matcher.filters[2]), 1)
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}
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}
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// Tests the matcher pipeline on a single continuous workflow without interrupts.
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func TestMatcherContinuous(t *testing.T) {
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testMatcherDiffBatches(t, [][]bloomIndexes{{{10, 20, 30}}}, 100000, false, 75)
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