961 lines
29 KiB
C++
961 lines
29 KiB
C++
#include "parquet_cursor.h"
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ParquetCursor::ParquetCursor(ParquetTable* table) {
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this->table = table;
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reader = NULL;
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reset(std::vector<Constraint>());
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}
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bool ParquetCursor::currentRowGroupSatisfiesRowIdFilter(Constraint& constraint) {
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if(constraint.type != Integer)
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return true;
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int64_t target = constraint.intValue;
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switch(constraint.op) {
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case IsNull:
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return false;
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case Is:
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case Equal:
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return target >= rowId && target < rowId + rowGroupSize;
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case GreaterThan:
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// rowId > target
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return rowId + rowGroupSize > target;
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case GreaterThanOrEqual:
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// rowId >= target
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return rowId + rowGroupSize >= rowId;
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case LessThan:
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return target > rowId;
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case LessThanOrEqual:
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return target >= rowId;
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default:
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return true;
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}
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}
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bool ParquetCursor::currentRowGroupSatisfiesBlobFilter(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 != Blob) {
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return true;
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}
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const unsigned char* minPtr = NULL;
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const unsigned char* maxPtr = NULL;
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size_t minLen = 0;
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size_t maxLen = 0;
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parquet::Type::type pqType = types[constraint.column];
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if(pqType == parquet::Type::BYTE_ARRAY) {
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parquet::TypedRowGroupStatistics<parquet::DataType<parquet::Type::BYTE_ARRAY>>* stats =
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(parquet::TypedRowGroupStatistics<parquet::DataType<parquet::Type::BYTE_ARRAY>>*)_stats.get();
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minPtr = stats->min().ptr;
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minLen = stats->min().len;
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maxPtr = stats->max().ptr;
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maxLen = stats->max().len;
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} else if(pqType == parquet::Type::FIXED_LEN_BYTE_ARRAY) {
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// It seems like parquet-cpp doesn't actually produce stats for FLBA yet, so
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// rather than have untested code here, we'll just short circuit.
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//
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// Once I can get my hands on such a file, it should be easy to add support.
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return true;
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} else {
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// Should be impossible to get here
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std::ostringstream ss;
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ss << __FILE__ << ":" << __LINE__ << ": currentRowGroupSatisfiesBlobFilter 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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printf("\n\nBLOB\n\n");
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const std::vector<unsigned char>& blob = constraint.blobValue;
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switch(constraint.op) {
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case Is:
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case Equal:
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{
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bool minEqual = blob.size() == minLen && memcmp(&blob[0], minPtr, minLen) == 0;
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bool maxEqual = blob.size() == maxLen && memcmp(&blob[0], maxPtr, maxLen) == 0;
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bool blobGteMinBlob = std::lexicographical_compare(
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minPtr,
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minPtr + minLen,
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&blob[0],
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&blob[0] + blob.size());
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bool blobLtMaxBlob = std::lexicographical_compare(
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&blob[0],
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&blob[0] + blob.size(),
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maxPtr,
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maxPtr + maxLen);
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return (minEqual || blobGteMinBlob) && (maxEqual || blobLtMaxBlob);
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}
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case GreaterThanOrEqual:
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{
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bool maxEqual = blob.size() == maxLen && memcmp(&blob[0], maxPtr, maxLen) == 0;
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return maxEqual || std::lexicographical_compare(
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&blob[0],
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&blob[0] + blob.size(),
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maxPtr,
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maxPtr + maxLen);
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}
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case GreaterThan:
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return std::lexicographical_compare(
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&blob[0],
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&blob[0] + blob.size(),
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maxPtr,
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maxPtr + maxLen);
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case LessThan:
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return std::lexicographical_compare(
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minPtr,
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minPtr + minLen,
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&blob[0],
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&blob[0] + blob.size());
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case LessThanOrEqual:
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{
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bool minEqual = blob.size() == minLen && memcmp(&blob[0], minPtr, minLen) == 0;
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return minEqual || std::lexicographical_compare(
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minPtr,
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minPtr + minLen,
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&blob[0],
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&blob[0] + blob.size());
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}
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case IsNot:
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case NotEqual:
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{
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// If min == max == blob, we can skip this.
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bool blobMaxEqual = blob.size() == maxLen && memcmp(&blob[0], maxPtr, maxLen) == 0;
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bool minMaxEqual = minLen == maxLen && memcmp(minPtr, maxPtr, minLen) == 0;
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return !(blobMaxEqual && minMaxEqual);
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}
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default:
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return true;
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}
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}
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bool ParquetCursor::currentRowGroupSatisfiesTextFilter(Constraint& constraint, std::shared_ptr<parquet::RowGroupStatistics> _stats) {
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parquet::TypedRowGroupStatistics<parquet::DataType<parquet::Type::BYTE_ARRAY>>* stats =
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(parquet::TypedRowGroupStatistics<parquet::DataType<parquet::Type::BYTE_ARRAY>>*)_stats.get();
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if(!stats->HasMinMax()) {
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return true;
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}
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if(constraint.type != Text) {
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return true;
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}
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const std::string& str = constraint.stringValue;
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const parquet::ByteArray& min = stats->min();
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const parquet::ByteArray& max = stats->max();
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std::string minStr((const char*)min.ptr, min.len);
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std::string maxStr((const char*)max.ptr, max.len);
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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 str >= minStr && str <= maxStr;
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case GreaterThanOrEqual:
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return maxStr >= str;
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case GreaterThan:
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return maxStr > str;
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case LessThan:
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return minStr < str;
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case LessThanOrEqual:
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return minStr <= str;
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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 !(minStr == maxStr && str == minStr);
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case Like:
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{
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const std::string& likeStringValue = constraint.likeStringValue;
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std::string truncatedMin = minStr.substr(0, likeStringValue.size());
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std::string truncatedMax = maxStr.substr(0, likeStringValue.size());
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return likeStringValue.empty() || (likeStringValue >= truncatedMin && likeStringValue <= truncatedMax);
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}
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default:
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return true;
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}
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}
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int64_t int96toMsSinceEpoch(const parquet::Int96& rv) {
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__int128 ns = rv.value[0] + ((unsigned long)rv.value[1] << 32);
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__int128 julianDay = rv.value[2];
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__int128 nsSinceEpoch = (julianDay - 2440588);
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nsSinceEpoch *= 86400;
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nsSinceEpoch *= 1000 * 1000 * 1000;
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nsSinceEpoch += ns;
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nsSinceEpoch /= 1000000;
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return nsSinceEpoch;
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}
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bool ParquetCursor::currentRowGroupSatisfiesIntegerFilter(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 != Integer) {
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return true;
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}
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int column = constraint.column;
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int64_t min = std::numeric_limits<int64_t>::min();
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int64_t max = std::numeric_limits<int64_t>::max();
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parquet::Type::type pqType = types[column];
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if(pqType == parquet::Type::INT32) {
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parquet::TypedRowGroupStatistics<parquet::DataType<parquet::Type::INT32>>* stats =
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(parquet::TypedRowGroupStatistics<parquet::DataType<parquet::Type::INT32>>*)_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::INT64) {
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parquet::TypedRowGroupStatistics<parquet::DataType<parquet::Type::INT64>>* stats =
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(parquet::TypedRowGroupStatistics<parquet::DataType<parquet::Type::INT64>>*)_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::INT96) {
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parquet::TypedRowGroupStatistics<parquet::DataType<parquet::Type::INT96>>* stats =
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(parquet::TypedRowGroupStatistics<parquet::DataType<parquet::Type::INT96>>*)_stats.get();
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min = int96toMsSinceEpoch(stats->min());
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max = int96toMsSinceEpoch(stats->max());
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} else if(pqType == parquet::Type::BOOLEAN) {
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parquet::TypedRowGroupStatistics<parquet::DataType<parquet::Type::BOOLEAN>>* stats =
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(parquet::TypedRowGroupStatistics<parquet::DataType<parquet::Type::BOOLEAN>>*)_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 int64_t value = constraint.intValue;
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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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}
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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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}
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bool ParquetCursor::currentRowSatisfiesTextFilter(Constraint& constraint) {
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if(constraint.type != Text) {
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return true;
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}
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parquet::ByteArray* ba = getByteArray(constraint.column);
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switch(constraint.op) {
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case Is:
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case Equal:
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{
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const std::vector<unsigned char>& blob = constraint.blobValue;
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if(blob.size() != ba->len)
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return false;
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return 0 == memcmp(&blob[0], ba->ptr, ba->len);
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}
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case IsNot:
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case NotEqual:
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{
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const std::vector<unsigned char>& blob = constraint.blobValue;
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if(blob.size() != ba->len)
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return true;
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return 0 != memcmp(&blob[0], ba->ptr, ba->len);
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}
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case GreaterThan:
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{
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const std::vector<unsigned char>& blob = constraint.blobValue;
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return std::lexicographical_compare(
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&blob[0],
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&blob[0] + blob.size(),
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ba->ptr,
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ba->ptr + ba->len);
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}
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case GreaterThanOrEqual:
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{
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const std::vector<unsigned char>& blob = constraint.blobValue;
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bool equal = blob.size() == ba->len && 0 == memcmp(&blob[0], ba->ptr, ba->len);
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return equal || std::lexicographical_compare(
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&blob[0],
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&blob[0] + blob.size(),
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ba->ptr,
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ba->ptr + ba->len);
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}
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case LessThan:
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{
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const std::vector<unsigned char>& blob = constraint.blobValue;
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return std::lexicographical_compare(
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ba->ptr,
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ba->ptr + ba->len,
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&blob[0],
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&blob[0] + blob.size());
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}
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case LessThanOrEqual:
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{
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const std::vector<unsigned char>& blob = constraint.blobValue;
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bool equal = blob.size() == ba->len && 0 == memcmp(&blob[0], ba->ptr, ba->len);
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return equal || std::lexicographical_compare(
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ba->ptr,
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ba->ptr + ba->len,
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&blob[0],
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&blob[0] + blob.size());
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}
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case Like:
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{
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const std::string& likeStringValue = constraint.likeStringValue;
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if(likeStringValue.size() > ba->len)
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return false;
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size_t len = ba->len;
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if(likeStringValue.size() < len)
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len = likeStringValue.size();
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return 0 == memcmp(&likeStringValue[0], ba->ptr, len);
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}
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default:
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return true;
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}
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}
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bool ParquetCursor::currentRowSatisfiesIntegerFilter(Constraint& constraint) {
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if(constraint.type != Integer) {
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return true;
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}
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int column = constraint.column;
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// CONSIDER: should we just store int64s everywhere?
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int64_t value = 0;
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if(column == -1) {
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value = rowId;
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} else {
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parquet::Type::type pqType = types[column];
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if(pqType == parquet::Type::INT32 || pqType == parquet::Type::BOOLEAN) {
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value = getInt32(column);
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} else if(pqType == parquet::Type::INT64 || pqType == parquet::Type::INT96) {
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value = getInt64(column);
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} else {
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// Should be impossible to get here
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std::ostringstream ss;
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ss << __FILE__ << ":" << __LINE__ << ": currentRowSatisfiesIntegerFilter 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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}
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int64_t constraintValue = constraint.intValue;
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switch(constraint.op) {
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case Is:
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case Equal:
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return constraintValue == value;
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case IsNot:
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case NotEqual:
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return constraintValue != value;
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case GreaterThan:
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return value > constraintValue;
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case GreaterThanOrEqual:
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return value >= constraintValue;
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case LessThan:
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return value < constraintValue;
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case LessThanOrEqual:
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return value <= constraintValue;
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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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}
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bool ParquetCursor::currentRowSatisfiesDoubleFilter(Constraint& constraint) {
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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 value = getDouble(column);
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double constraintValue = constraint.doubleValue;
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switch(constraint.op) {
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case Is:
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case Equal:
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return constraintValue == value;
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case IsNot:
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case NotEqual:
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return constraintValue != value;
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case GreaterThan:
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return value > constraintValue;
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case GreaterThanOrEqual:
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return value >= constraintValue;
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case LessThan:
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return value < constraintValue;
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case LessThanOrEqual:
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return value <= constraintValue;
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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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}
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// Return true if it is _possible_ that the current
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// rowgroup satisfies the constraints. Only return false
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// if it definitely does not.
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//
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// This avoids opening rowgroups that can't return useful
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// data, which provides substantial performance benefits.
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bool ParquetCursor::currentRowGroupSatisfiesFilter() {
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for(unsigned int i = 0; i < constraints.size(); i++) {
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int column = constraints[i].column;
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int op = constraints[i].op;
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bool rv = true;
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if(column == -1) {
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rv = currentRowGroupSatisfiesRowIdFilter(constraints[i]);
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} else {
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std::unique_ptr<parquet::ColumnChunkMetaData> md = rowGroupMetadata->ColumnChunk(column);
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if(!md->is_stats_set()) {
|
|
continue;
|
|
}
|
|
std::shared_ptr<parquet::RowGroupStatistics> stats = md->statistics();
|
|
|
|
// SQLite is much looser with types than you might expect if you
|
|
// come from a Postgres background. The constraint '30.0' (that is,
|
|
// a string containing a floating point number) should be treated
|
|
// as equal to a field containing an integer 30.
|
|
//
|
|
// This means that even if the parquet physical type is integer,
|
|
// the constraint type may be a string, so dispatch to the filter
|
|
// fn based on the Parquet type.
|
|
|
|
if(op == IsNull) {
|
|
rv = stats->null_count() > 0;
|
|
} else if(op == IsNotNull) {
|
|
rv = stats->num_values() > 0;
|
|
} else {
|
|
parquet::Type::type pqType = types[column];
|
|
|
|
if(pqType == parquet::Type::BYTE_ARRAY && logicalTypes[column] == parquet::LogicalType::UTF8) {
|
|
rv = currentRowGroupSatisfiesTextFilter(constraints[i], stats);
|
|
} else if(pqType == parquet::Type::BYTE_ARRAY) {
|
|
rv = currentRowGroupSatisfiesBlobFilter(constraints[i], stats);
|
|
} else if(pqType == parquet::Type::INT32 ||
|
|
pqType == parquet::Type::INT64 ||
|
|
pqType == parquet::Type::INT96 ||
|
|
pqType == parquet::Type::BOOLEAN) {
|
|
rv = currentRowGroupSatisfiesIntegerFilter(constraints[i], stats);
|
|
} else if(pqType == parquet::Type::FLOAT || pqType == parquet::Type::DOUBLE) {
|
|
rv = currentRowGroupSatisfiesDoubleFilter(constraints[i], stats);
|
|
}
|
|
}
|
|
}
|
|
|
|
if(!rv)
|
|
return false;
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
|
|
bool ParquetCursor::nextRowGroup() {
|
|
start:
|
|
// Ensure that rowId points at the start of this rowGroup (eg, in the case where
|
|
// we skipped an entire row group).
|
|
rowId = rowGroupStartRowId + rowGroupSize;
|
|
|
|
if((rowGroupId + 1) >= numRowGroups) {
|
|
return false;
|
|
}
|
|
|
|
rowGroupStartRowId = rowId;
|
|
rowGroupId++;
|
|
rowGroupMetadata = reader->metadata()->RowGroup(rowGroupId);
|
|
rowGroupSize = rowsLeftInRowGroup = rowGroupMetadata->num_rows();
|
|
rowGroup = reader->RowGroup(rowGroupId);
|
|
for(unsigned int i = 0; i < scanners.size(); i++)
|
|
scanners[i] = NULL;
|
|
|
|
while(types.size() < (unsigned int)rowGroupMetadata->num_columns()) {
|
|
types.push_back(rowGroupMetadata->schema()->Column(0)->physical_type());
|
|
}
|
|
|
|
while(logicalTypes.size() < (unsigned int)rowGroupMetadata->num_columns()) {
|
|
logicalTypes.push_back(rowGroupMetadata->schema()->Column(0)->logical_type());
|
|
}
|
|
|
|
for(unsigned int i = 0; i < (unsigned int)rowGroupMetadata->num_columns(); i++) {
|
|
types[i] = rowGroupMetadata->schema()->Column(i)->physical_type();
|
|
logicalTypes[i] = rowGroupMetadata->schema()->Column(i)->logical_type();
|
|
}
|
|
|
|
for(unsigned int i = 0; i < colRows.size(); i++) {
|
|
colRows[i] = rowId;
|
|
}
|
|
|
|
// Increment rowId so currentRowGroupSatisfiesRowIdFilter can access it;
|
|
// it'll get decremented by our caller
|
|
rowId++;
|
|
if(!currentRowGroupSatisfiesFilter())
|
|
goto start;
|
|
|
|
return true;
|
|
}
|
|
|
|
// Return true if it is _possible_ that the current
|
|
// row satisfies the constraints. Only return false
|
|
// if it definitely does not.
|
|
//
|
|
// This avoids pointless transitions between the SQLite VM
|
|
// and the extension, which can add up on a dataset of tens
|
|
// of millions of rows.
|
|
bool ParquetCursor::currentRowSatisfiesFilter() {
|
|
for(unsigned int i = 0; i < constraints.size(); i++) {
|
|
bool rv = true;
|
|
int column = constraints[i].column;
|
|
ensureColumn(column);
|
|
int op = constraints[i].op;
|
|
|
|
if(op == IsNull) {
|
|
rv = isNull(column);
|
|
} else if(op == IsNotNull) {
|
|
rv = !isNull(column);
|
|
} else {
|
|
parquet::Type::type pqType = types[column];
|
|
|
|
if(pqType == parquet::Type::BYTE_ARRAY) {
|
|
rv = currentRowSatisfiesTextFilter(constraints[i]);
|
|
} else if(pqType == parquet::Type::INT32 ||
|
|
pqType == parquet::Type::INT64 ||
|
|
pqType == parquet::Type::INT96 ||
|
|
pqType == parquet::Type::BOOLEAN) {
|
|
rv = currentRowSatisfiesIntegerFilter(constraints[i]);
|
|
} else if(pqType == parquet::Type::FLOAT || pqType == parquet::Type::DOUBLE) {
|
|
rv = currentRowSatisfiesDoubleFilter(constraints[i]);
|
|
}
|
|
}
|
|
|
|
if(!rv)
|
|
return false;
|
|
}
|
|
return true;
|
|
}
|
|
|
|
void ParquetCursor::next() {
|
|
start:
|
|
if(rowsLeftInRowGroup == 0) {
|
|
if(!nextRowGroup()) {
|
|
// put rowId over the edge so eof returns true
|
|
rowId = numRows + 1;
|
|
return;
|
|
} else {
|
|
// After a successful nextRowGroup, rowId is pointing at the current row. Make it
|
|
// point before so the rest of the logic works out.
|
|
rowId--;
|
|
}
|
|
}
|
|
|
|
rowsLeftInRowGroup--;
|
|
rowId++;
|
|
if(!currentRowSatisfiesFilter())
|
|
goto start;
|
|
|
|
}
|
|
|
|
int ParquetCursor::getRowId() {
|
|
return rowId;
|
|
}
|
|
|
|
bool ParquetCursor::eof() {
|
|
return rowId > numRows;
|
|
}
|
|
|
|
void ParquetCursor::ensureColumn(int col) {
|
|
// -1 signals rowid, which is trivially available
|
|
if(col == -1)
|
|
return;
|
|
|
|
// need to ensure a scanner exists (and skip the # of rows in the rowgroup)
|
|
while((unsigned int)col >= scanners.size()) {
|
|
scanners.push_back(std::shared_ptr<parquet::Scanner>());
|
|
// If it doesn't exist, it's the rowId as of the last nextRowGroup call
|
|
colRows.push_back(rowGroupStartRowId);
|
|
colNulls.push_back(false);
|
|
colIntValues.push_back(0);
|
|
colDoubleValues.push_back(0);
|
|
colByteArrayValues.push_back(parquet::ByteArray());
|
|
}
|
|
|
|
if(scanners[col].get() == NULL) {
|
|
std::shared_ptr<parquet::ColumnReader> colReader = rowGroup->Column(col);
|
|
scanners[col] = parquet::Scanner::Make(colReader);
|
|
}
|
|
|
|
// Actually fetch a value, stash data in colRows, colNulls, colValues
|
|
if(colRows[col] != rowId) {
|
|
// We may need to skip some records, eg, a query like
|
|
// SELECT a WHERE b = 10
|
|
// may have read b, but skipped a until b matches the predicate.
|
|
bool wasNull = false;
|
|
while(colRows[col] + 1 < rowId) {
|
|
switch(types[col]) {
|
|
case parquet::Type::INT32:
|
|
{
|
|
parquet::Int32Scanner* s = (parquet::Int32Scanner*)scanners[col].get();
|
|
int rv = 0;
|
|
s->NextValue(&rv, &wasNull);
|
|
break;
|
|
}
|
|
case parquet::Type::FLOAT:
|
|
{
|
|
parquet::FloatScanner* s = (parquet::FloatScanner*)scanners[col].get();
|
|
float rv = 0;
|
|
s->NextValue(&rv, &wasNull);
|
|
break;
|
|
}
|
|
case parquet::Type::DOUBLE:
|
|
{
|
|
parquet::DoubleScanner* s = (parquet::DoubleScanner*)scanners[col].get();
|
|
double rv = 0;
|
|
s->NextValue(&rv, &wasNull);
|
|
break;
|
|
}
|
|
case parquet::Type::BYTE_ARRAY:
|
|
{
|
|
parquet::ByteArrayScanner* s = (parquet::ByteArrayScanner*)scanners[col].get();
|
|
parquet::ByteArray ba;
|
|
s->NextValue(&ba, &wasNull);
|
|
break;
|
|
}
|
|
case parquet::Type::INT96:
|
|
{
|
|
parquet::Int96Scanner* s = (parquet::Int96Scanner*)scanners[col].get();
|
|
parquet::Int96 rv;
|
|
s->NextValue(&rv, &wasNull);
|
|
break;
|
|
}
|
|
case parquet::Type::INT64:
|
|
{
|
|
parquet::Int64Scanner* s = (parquet::Int64Scanner*)scanners[col].get();
|
|
long rv = 0;
|
|
s->NextValue(&rv, &wasNull);
|
|
break;
|
|
}
|
|
case parquet::Type::BOOLEAN:
|
|
{
|
|
parquet::BoolScanner* s = (parquet::BoolScanner*)scanners[col].get();
|
|
bool rv = false;
|
|
s->NextValue(&rv, &wasNull);
|
|
break;
|
|
}
|
|
case parquet::Type::FIXED_LEN_BYTE_ARRAY:
|
|
{
|
|
parquet::FixedLenByteArrayScanner* s = (parquet::FixedLenByteArrayScanner*)scanners[col].get();
|
|
parquet::FixedLenByteArray flba;
|
|
s->NextValue(&flba, &wasNull);
|
|
break;
|
|
}
|
|
default:
|
|
// Should be impossible to get here as we should have forbidden this at
|
|
// CREATE time -- maybe file changed underneath us?
|
|
std::ostringstream ss;
|
|
ss << __FILE__ << ":" << __LINE__ << ": column " << col << " has unsupported type: " <<
|
|
parquet::TypeToString(types[col]);
|
|
throw std::invalid_argument(ss.str());
|
|
break;
|
|
|
|
}
|
|
colRows[col]++;
|
|
}
|
|
|
|
colRows[col] = rowId;
|
|
wasNull = false;
|
|
|
|
switch(types[col]) {
|
|
case parquet::Type::INT32:
|
|
{
|
|
parquet::Int32Scanner* s = (parquet::Int32Scanner*)scanners[col].get();
|
|
int rv = 0;
|
|
if(s->NextValue(&rv, &wasNull)) {
|
|
colIntValues[col] = rv;
|
|
} else {
|
|
throw std::invalid_argument("unexpectedly lacking a next value");
|
|
}
|
|
break;
|
|
}
|
|
case parquet::Type::FLOAT:
|
|
{
|
|
parquet::FloatScanner* s = (parquet::FloatScanner*)scanners[col].get();
|
|
float rv = 0;
|
|
if(s->NextValue(&rv, &wasNull)) {
|
|
colDoubleValues[col] = rv;
|
|
} else {
|
|
throw std::invalid_argument("unexpectedly lacking a next value");
|
|
}
|
|
break;
|
|
}
|
|
case parquet::Type::DOUBLE:
|
|
{
|
|
parquet::DoubleScanner* s = (parquet::DoubleScanner*)scanners[col].get();
|
|
double rv = 0;
|
|
if(s->NextValue(&rv, &wasNull)) {
|
|
colDoubleValues[col] = rv;
|
|
} else {
|
|
throw std::invalid_argument("unexpectedly lacking a next value");
|
|
}
|
|
break;
|
|
}
|
|
case parquet::Type::BYTE_ARRAY:
|
|
{
|
|
parquet::ByteArrayScanner* s = (parquet::ByteArrayScanner*)scanners[col].get();
|
|
if(!s->NextValue(&colByteArrayValues[col], &wasNull)) {
|
|
throw std::invalid_argument("unexpectedly lacking a next value");
|
|
}
|
|
break;
|
|
}
|
|
case parquet::Type::INT96:
|
|
{
|
|
// INT96 tracks a date with nanosecond precision, convert to ms since epoch.
|
|
// ...see https://github.com/apache/parquet-format/pull/49 for more
|
|
//
|
|
// First 8 bytes: nanoseconds into the day
|
|
// Last 4 bytes: Julian day
|
|
// To get nanoseconds since the epoch:
|
|
// (julian_day - 2440588) * (86400 * 1000 * 1000 * 1000) + nanoseconds
|
|
parquet::Int96Scanner* s = (parquet::Int96Scanner*)scanners[col].get();
|
|
parquet::Int96 rv {0, 0, 0};
|
|
if(s->NextValue(&rv, &wasNull)) {
|
|
colIntValues[col] = int96toMsSinceEpoch(rv);
|
|
} else {
|
|
throw std::invalid_argument("unexpectedly lacking a next value");
|
|
}
|
|
break;
|
|
}
|
|
case parquet::Type::INT64:
|
|
{
|
|
parquet::Int64Scanner* s = (parquet::Int64Scanner*)scanners[col].get();
|
|
long rv = 0;
|
|
if(s->NextValue(&rv, &wasNull)) {
|
|
colIntValues[col] = rv;
|
|
} else {
|
|
throw std::invalid_argument("unexpectedly lacking a next value");
|
|
}
|
|
break;
|
|
}
|
|
|
|
case parquet::Type::BOOLEAN:
|
|
{
|
|
parquet::BoolScanner* s = (parquet::BoolScanner*)scanners[col].get();
|
|
bool rv = false;
|
|
if(s->NextValue(&rv, &wasNull)) {
|
|
colIntValues[col] = rv ? 1 : 0;
|
|
} else {
|
|
throw std::invalid_argument("unexpectedly lacking a next value");
|
|
}
|
|
break;
|
|
}
|
|
case parquet::Type::FIXED_LEN_BYTE_ARRAY:
|
|
{
|
|
parquet::FixedLenByteArrayScanner* s = (parquet::FixedLenByteArrayScanner*)scanners[col].get();
|
|
parquet::FixedLenByteArray flba;
|
|
if(s->NextValue(&flba, &wasNull)) {
|
|
colByteArrayValues[col].ptr = flba.ptr;
|
|
// TODO: cache this
|
|
colByteArrayValues[col].len = rowGroupMetadata->schema()->Column(col)->type_length();
|
|
} else {
|
|
throw std::invalid_argument("unexpectedly lacking a next value");
|
|
}
|
|
break;
|
|
}
|
|
default:
|
|
// Should be impossible to get here as we should have forbidden this at
|
|
// CREATE time -- maybe file changed underneath us?
|
|
std::ostringstream ss;
|
|
ss << __FILE__ << ":" << __LINE__ << ": column " << col << " has unsupported type: " <<
|
|
parquet::TypeToString(types[col]);
|
|
throw std::invalid_argument(ss.str());
|
|
break;
|
|
}
|
|
|
|
colNulls[col] = wasNull;
|
|
}
|
|
}
|
|
|
|
bool ParquetCursor::isNull(int col) {
|
|
// -1 is rowid, which is trivially non null
|
|
if(col == -1)
|
|
return false;
|
|
|
|
return colNulls[col];
|
|
}
|
|
|
|
int ParquetCursor::getInt32(int col) {
|
|
return colIntValues[col];
|
|
}
|
|
|
|
long ParquetCursor::getInt64(int col) {
|
|
return colIntValues[col];
|
|
}
|
|
|
|
double ParquetCursor::getDouble(int col) {
|
|
return colDoubleValues[col];
|
|
}
|
|
|
|
parquet::ByteArray* ParquetCursor::getByteArray(int col) {
|
|
return &colByteArrayValues[col];
|
|
}
|
|
|
|
parquet::Type::type ParquetCursor::getPhysicalType(int col) {
|
|
return types[col];
|
|
}
|
|
|
|
parquet::LogicalType::type ParquetCursor::getLogicalType(int col) {
|
|
return logicalTypes[col];
|
|
}
|
|
|
|
void ParquetCursor::close() {
|
|
if(reader != NULL) {
|
|
reader->Close();
|
|
}
|
|
}
|
|
|
|
void ParquetCursor::reset(std::vector<Constraint> constraints) {
|
|
close();
|
|
this->constraints = constraints;
|
|
rowId = 0;
|
|
// TODO: consider having a long lived handle in ParquetTable that can be borrowed
|
|
// without incurring the cost of opening the file from scratch twice
|
|
reader = parquet::ParquetFileReader::OpenFile(
|
|
table->file.data(),
|
|
true,
|
|
parquet::default_reader_properties(),
|
|
table->getMetadata());
|
|
|
|
rowGroupId = -1;
|
|
rowGroupSize = 0;
|
|
rowGroupStartRowId = 0;
|
|
// TODO: handle the case where rowgroups have disjoint schemas?
|
|
// TODO: or at least, fail fast if detected
|
|
rowsLeftInRowGroup = 0;
|
|
|
|
numRows = reader->metadata()->num_rows();
|
|
numRowGroups = reader->metadata()->num_row_groups();
|
|
}
|
|
|
|
ParquetTable* ParquetCursor::getTable() { return table; }
|