Row group filtering for double/float
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README.md
31
README.md
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@ -33,13 +33,36 @@ sqlite> SELECT * FROM demo;
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## Supported features
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## Supported features
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### Index
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### Row group filtering
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Only full table scans are supported.
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Row group filtering is supported for strings and numerics so long as the SQLite
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type matches the Parquet type.
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e.g. if you have a column `foo` that is an INT32, this query will skip row groups whose
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statistics prove that it does not contain relevant rows:
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```
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SELECT * FROM tbl WHERE foo = 123;
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```
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but this query will devolve to a table scan:
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```
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SELECT * FROM tbl WHERE foo = '123';
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```
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This is laziness on my part and could be fixed without too much effort.
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### Row filtering
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For common constraints, the row is checked to see if it satisfies the query's
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constraints before returning control to SQLite's virtual machine. This minimizes
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the number of allocations performed when many rows are filtered out by
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the user's criteria.
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### Types
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### Types
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These types are supported:
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These Parquet types are supported:
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* INT96 timestamps (exposed as milliseconds since the epoch)
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* INT96 timestamps (exposed as milliseconds since the epoch)
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* INT8/INT16/INT32/INT64
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* INT8/INT16/INT32/INT64
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@ -49,7 +72,7 @@ These types are supported:
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* DOUBLE
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* DOUBLE
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* Variable- and fixed-length byte arrays
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* Variable- and fixed-length byte arrays
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These are not supported:
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These are not currently supported:
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* UINT8/UINT16/UINT32/UINT64
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* UINT8/UINT16/UINT32/UINT64
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* DECIMAL
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* DECIMAL
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@ -160,8 +160,68 @@ bool ParquetCursor::currentRowGroupSatisfiesIntegerFilter(Constraint& constraint
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return true;
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return true;
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}
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}
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bool ParquetCursor::currentRowGroupSatisfiesDoubleFilter(Constraint& constraint, std::shared_ptr<parquet::RowGroupStatistics> stats) {
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bool ParquetCursor::currentRowGroupSatisfiesDoubleFilter(Constraint& constraint, std::shared_ptr<parquet::RowGroupStatistics> _stats) {
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if(!_stats->HasMinMax()) {
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return true;
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}
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if(constraint.type != Double) {
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return true;
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}
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int column = constraint.column;
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double min = std::numeric_limits<double>::min();
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double max = std::numeric_limits<double>::max();
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parquet::Type::type pqType = types[column];
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if(pqType == parquet::Type::DOUBLE) {
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parquet::TypedRowGroupStatistics<parquet::DataType<parquet::Type::DOUBLE>>* stats =
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(parquet::TypedRowGroupStatistics<parquet::DataType<parquet::Type::DOUBLE>>*)_stats.get();
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min = stats->min();
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max = stats->max();
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} else if(pqType == parquet::Type::FLOAT) {
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parquet::TypedRowGroupStatistics<parquet::DataType<parquet::Type::FLOAT>>* stats =
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(parquet::TypedRowGroupStatistics<parquet::DataType<parquet::Type::FLOAT>>*)_stats.get();
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min = stats->min();
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max = stats->max();
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} else {
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// Should be impossible to get here as we should have forbidden this at
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// CREATE time -- maybe file changed underneath us?
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std::ostringstream ss;
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ss << __FILE__ << ":" << __LINE__ << ": currentRowGroupSatisfiesIntegerFilter called on unsupported type: " <<
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parquet::TypeToString(pqType);
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throw std::invalid_argument(ss.str());
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}
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const double value = constraint.doubleValue;
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// printf("min=%s [%d], max=%s [%d], target=%s\n", minStr.data(), min.len, maxStr.data(), max.len, str.data());
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switch(constraint.op) {
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case Is:
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case Equal:
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return value >= min && value <= max;
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case GreaterThanOrEqual:
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return max >= value;
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case GreaterThan:
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return max > value;
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case LessThan:
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return min < value;
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case LessThanOrEqual:
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return min <= value;
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case IsNot:
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case NotEqual:
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// If min == max == str, we can skip this.
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return !(min == max && value == min);
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case Like:
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default:
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return true;
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}
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return true;
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return true;
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}
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}
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bool ParquetCursor::currentRowSatisfiesTextFilter(Constraint& constraint) {
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bool ParquetCursor::currentRowSatisfiesTextFilter(Constraint& constraint) {
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