sqlite-parquet-vtable/parquet/parquet_cursor.cc

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#include "parquet_cursor.h"
ParquetCursor::ParquetCursor(ParquetTable* table): table(table) {
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reader = NULL;
reset(std::vector<Constraint>());
}
bool ParquetCursor::currentRowGroupSatisfiesRowIdFilter(Constraint& constraint) {
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if(constraint.type != Integer)
return true;
int64_t target = constraint.intValue;
switch(constraint.op) {
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case IsNull:
return false;
case Is:
case Equal:
return target >= rowId && target < rowId + rowGroupSize;
case GreaterThan:
// rowId > target
return rowId + rowGroupSize > target;
case GreaterThanOrEqual:
// rowId >= target
return rowId + rowGroupSize >= rowId;
case LessThan:
return target > rowId;
case LessThanOrEqual:
return target >= rowId;
default:
return true;
}
}
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bool ParquetCursor::currentRowGroupSatisfiesBlobFilter(Constraint& constraint, std::shared_ptr<parquet::Statistics> _stats) {
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if(!_stats->HasMinMax()) {
return true;
}
if(constraint.type != Blob) {
return true;
}
const unsigned char* minPtr = NULL;
const unsigned char* maxPtr = NULL;
size_t minLen = 0;
size_t maxLen = 0;
parquet::Type::type pqType = types[constraint.column];
if(pqType == parquet::Type::BYTE_ARRAY) {
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parquet::TypedStatistics<parquet::ByteArrayType>* stats =
(parquet::TypedStatistics<parquet::ByteArrayType>*)_stats.get();
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minPtr = stats->min().ptr;
minLen = stats->min().len;
maxPtr = stats->max().ptr;
maxLen = stats->max().len;
} else if(pqType == parquet::Type::FIXED_LEN_BYTE_ARRAY) {
// It seems like parquet-cpp doesn't actually produce stats for FLBA yet, so
// rather than have untested code here, we'll just short circuit.
//
// Once I can get my hands on such a file, it should be easy to add support.
return true;
} else {
// Should be impossible to get here
std::ostringstream ss;
ss << __FILE__ << ":" << __LINE__ << ": currentRowGroupSatisfiesBlobFilter called on unsupported type: " <<
parquet::TypeToString(pqType);
throw std::invalid_argument(ss.str());
}
const std::vector<unsigned char>& blob = constraint.blobValue;
switch(constraint.op) {
case Is:
case Equal:
{
bool minEqual = blob.size() == minLen && memcmp(&blob[0], minPtr, minLen) == 0;
bool maxEqual = blob.size() == maxLen && memcmp(&blob[0], maxPtr, maxLen) == 0;
bool blobGteMinBlob = std::lexicographical_compare(
minPtr,
minPtr + minLen,
&blob[0],
&blob[0] + blob.size());
bool blobLtMaxBlob = std::lexicographical_compare(
&blob[0],
&blob[0] + blob.size(),
maxPtr,
maxPtr + maxLen);
return (minEqual || blobGteMinBlob) && (maxEqual || blobLtMaxBlob);
}
case GreaterThanOrEqual:
{
bool maxEqual = blob.size() == maxLen && memcmp(&blob[0], maxPtr, maxLen) == 0;
return maxEqual || std::lexicographical_compare(
&blob[0],
&blob[0] + blob.size(),
maxPtr,
maxPtr + maxLen);
}
case GreaterThan:
return std::lexicographical_compare(
&blob[0],
&blob[0] + blob.size(),
maxPtr,
maxPtr + maxLen);
case LessThan:
return std::lexicographical_compare(
minPtr,
minPtr + minLen,
&blob[0],
&blob[0] + blob.size());
case LessThanOrEqual:
{
bool minEqual = blob.size() == minLen && memcmp(&blob[0], minPtr, minLen) == 0;
return minEqual || std::lexicographical_compare(
minPtr,
minPtr + minLen,
&blob[0],
&blob[0] + blob.size());
}
case NotEqual:
{
// If min == max == blob, we can skip this.
bool blobMaxEqual = blob.size() == maxLen && memcmp(&blob[0], maxPtr, maxLen) == 0;
bool minMaxEqual = minLen == maxLen && memcmp(minPtr, maxPtr, minLen) == 0;
return !(blobMaxEqual && minMaxEqual);
}
case IsNot:
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default:
return true;
}
}
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bool ParquetCursor::currentRowGroupSatisfiesTextFilter(Constraint& constraint, std::shared_ptr<parquet::Statistics> _stats) {
parquet::TypedStatistics<parquet::ByteArrayType>* stats =
(parquet::TypedStatistics<parquet::ByteArrayType>*)_stats.get();
if(!stats->HasMinMax()) {
return true;
}
if(constraint.type != Text) {
return true;
}
const std::string& str = constraint.stringValue;
const parquet::ByteArray& min = stats->min();
const parquet::ByteArray& max = stats->max();
std::string minStr((const char*)min.ptr, min.len);
std::string maxStr((const char*)max.ptr, max.len);
// printf("min=%s [%d], max=%s [%d], target=%s\n", minStr.data(), min.len, maxStr.data(), max.len, str.data());
switch(constraint.op) {
case Is:
case Equal:
return str >= minStr && str <= maxStr;
case GreaterThanOrEqual:
return maxStr >= str;
case GreaterThan:
return maxStr > str;
case LessThan:
return minStr < str;
case LessThanOrEqual:
return minStr <= str;
case NotEqual:
// If min == max == str, we can skip this.
return !(minStr == maxStr && str == minStr);
case Like:
{
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const std::string& likeStringValue = constraint.likeStringValue;
std::string truncatedMin = minStr.substr(0, likeStringValue.size());
std::string truncatedMax = maxStr.substr(0, likeStringValue.size());
return likeStringValue.empty() || (likeStringValue >= truncatedMin && likeStringValue <= truncatedMax);
}
case IsNot:
default:
return true;
}
}
int64_t int96toMsSinceEpoch(const parquet::Int96& rv) {
__int128 ns = rv.value[0] + ((unsigned long)rv.value[1] << 32);
__int128 julianDay = rv.value[2];
__int128 nsSinceEpoch = (julianDay - 2440588);
nsSinceEpoch *= 86400;
nsSinceEpoch *= 1000 * 1000 * 1000;
nsSinceEpoch += ns;
nsSinceEpoch /= 1000000;
return nsSinceEpoch;
}
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bool ParquetCursor::currentRowGroupSatisfiesIntegerFilter(Constraint& constraint, std::shared_ptr<parquet::Statistics> _stats) {
if(!_stats->HasMinMax()) {
return true;
}
if(constraint.type != Integer) {
return true;
}
int column = constraint.column;
int64_t min = std::numeric_limits<int64_t>::min();
int64_t max = std::numeric_limits<int64_t>::max();
parquet::Type::type pqType = types[column];
if(pqType == parquet::Type::INT32) {
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parquet::TypedStatistics<parquet::Int32Type>* stats =
(parquet::TypedStatistics<parquet::Int32Type>*)_stats.get();
min = stats->min();
max = stats->max();
} else if(pqType == parquet::Type::INT64) {
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parquet::TypedStatistics<parquet::Int64Type>* stats =
(parquet::TypedStatistics<parquet::Int64Type>*)_stats.get();
min = stats->min();
max = stats->max();
} else if(pqType == parquet::Type::INT96) {
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parquet::TypedStatistics<parquet::Int96Type>* stats =
(parquet::TypedStatistics<parquet::Int96Type>*)_stats.get();
min = int96toMsSinceEpoch(stats->min());
max = int96toMsSinceEpoch(stats->max());
} else if(pqType == parquet::Type::BOOLEAN) {
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parquet::TypedStatistics<parquet::BooleanType>* stats =
(parquet::TypedStatistics<parquet::BooleanType>*)_stats.get();
min = stats->min();
max = stats->max();
} else {
// 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__ << ": currentRowGroupSatisfiesIntegerFilter called on unsupported type: " <<
parquet::TypeToString(pqType);
throw std::invalid_argument(ss.str());
}
const int64_t value = constraint.intValue;
// printf("min=%s [%d], max=%s [%d], target=%s\n", minStr.data(), min.len, maxStr.data(), max.len, str.data());
switch(constraint.op) {
case Is:
case Equal:
return value >= min && value <= max;
case GreaterThanOrEqual:
return max >= value;
case GreaterThan:
return max > value;
case LessThan:
return min < value;
case LessThanOrEqual:
return min <= value;
case NotEqual:
// If min == max == str, we can skip this.
return !(min == max && value == min);
case Like:
case IsNot:
default:
return true;
}
return true;
}
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bool ParquetCursor::currentRowGroupSatisfiesDoubleFilter(Constraint& constraint, std::shared_ptr<parquet::Statistics> _stats) {
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if(!_stats->HasMinMax()) {
return true;
}
if(constraint.type != Double) {
return true;
}
int column = constraint.column;
double min = std::numeric_limits<double>::min();
double max = std::numeric_limits<double>::max();
parquet::Type::type pqType = types[column];
if(pqType == parquet::Type::DOUBLE) {
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parquet::TypedStatistics<parquet::DoubleType>* stats =
(parquet::TypedStatistics<parquet::DoubleType>*)_stats.get();
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min = stats->min();
max = stats->max();
} else if(pqType == parquet::Type::FLOAT) {
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parquet::TypedStatistics<parquet::FloatType>* stats =
(parquet::TypedStatistics<parquet::FloatType>*)_stats.get();
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min = stats->min();
max = stats->max();
} else {
// 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__ << ": currentRowGroupSatisfiesIntegerFilter called on unsupported type: " <<
parquet::TypeToString(pqType);
throw std::invalid_argument(ss.str());
}
const double value = constraint.doubleValue;
// printf("min=%s [%d], max=%s [%d], target=%s\n", minStr.data(), min.len, maxStr.data(), max.len, str.data());
switch(constraint.op) {
case Is:
case Equal:
return value >= min && value <= max;
case GreaterThanOrEqual:
return max >= value;
case GreaterThan:
return max > value;
case LessThan:
return min < value;
case LessThanOrEqual:
return min <= value;
case NotEqual:
// If min == max == str, we can skip this.
return !(min == max && value == min);
case Like:
case IsNot:
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default:
return true;
}
return true;
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}
bool ParquetCursor::currentRowSatisfiesTextFilter(Constraint& constraint) {
if(constraint.type != Text) {
return true;
}
parquet::ByteArray* ba = getByteArray(constraint.column);
switch(constraint.op) {
case Is:
case Equal:
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{
const std::vector<unsigned char>& blob = constraint.blobValue;
if(blob.size() != ba->len)
return false;
return 0 == memcmp(&blob[0], ba->ptr, ba->len);
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}
case NotEqual:
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{
const std::vector<unsigned char>& blob = constraint.blobValue;
if(blob.size() != ba->len)
return true;
return 0 != memcmp(&blob[0], ba->ptr, ba->len);
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}
case GreaterThan:
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{
const std::vector<unsigned char>& blob = constraint.blobValue;
return std::lexicographical_compare(
&blob[0],
&blob[0] + blob.size(),
ba->ptr,
ba->ptr + ba->len);
}
case GreaterThanOrEqual:
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{
const std::vector<unsigned char>& blob = constraint.blobValue;
bool equal = blob.size() == ba->len && 0 == memcmp(&blob[0], ba->ptr, ba->len);
return equal || std::lexicographical_compare(
&blob[0],
&blob[0] + blob.size(),
ba->ptr,
ba->ptr + ba->len);
}
case LessThan:
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{
const std::vector<unsigned char>& blob = constraint.blobValue;
return std::lexicographical_compare(
ba->ptr,
ba->ptr + ba->len,
&blob[0],
&blob[0] + blob.size());
}
case LessThanOrEqual:
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{
const std::vector<unsigned char>& blob = constraint.blobValue;
bool equal = blob.size() == ba->len && 0 == memcmp(&blob[0], ba->ptr, ba->len);
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return equal || std::lexicographical_compare(
ba->ptr,
ba->ptr + ba->len,
&blob[0],
&blob[0] + blob.size());
}
case Like:
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{
const std::string& likeStringValue = constraint.likeStringValue;
if(likeStringValue.size() > ba->len)
return false;
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size_t len = ba->len;
if(likeStringValue.size() < len)
len = likeStringValue.size();
return 0 == memcmp(&likeStringValue[0], ba->ptr, len);
}
case IsNot:
default:
return true;
}
}
bool ParquetCursor::currentRowSatisfiesIntegerFilter(Constraint& constraint) {
if(constraint.type != Integer) {
return true;
}
int column = constraint.column;
// CONSIDER: should we just store int64s everywhere?
int64_t value = 0;
if(column == -1) {
value = rowId;
} else {
parquet::Type::type pqType = types[column];
if(pqType == parquet::Type::INT32 || pqType == parquet::Type::BOOLEAN) {
value = getInt32(column);
} else if(pqType == parquet::Type::INT64 || pqType == parquet::Type::INT96) {
value = getInt64(column);
} else {
// Should be impossible to get here
std::ostringstream ss;
ss << __FILE__ << ":" << __LINE__ << ": currentRowSatisfiesIntegerFilter called on unsupported type: " <<
parquet::TypeToString(pqType);
throw std::invalid_argument(ss.str());
}
}
int64_t constraintValue = constraint.intValue;
switch(constraint.op) {
case Is:
case Equal:
return constraintValue == value;
case NotEqual:
return constraintValue != value;
case GreaterThan:
return value > constraintValue;
case GreaterThanOrEqual:
return value >= constraintValue;
case LessThan:
return value < constraintValue;
case LessThanOrEqual:
return value <= constraintValue;
case Like:
case IsNot:
default:
return true;
}
return true;
}
bool ParquetCursor::currentRowSatisfiesDoubleFilter(Constraint& constraint) {
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if(constraint.type != Double) {
return true;
}
int column = constraint.column;
double value = getDouble(column);
double constraintValue = constraint.doubleValue;
switch(constraint.op) {
case Is:
case Equal:
return constraintValue == value;
case NotEqual:
return constraintValue != value;
case GreaterThan:
return value > constraintValue;
case GreaterThanOrEqual:
return value >= constraintValue;
case LessThan:
return value < constraintValue;
case LessThanOrEqual:
return value <= constraintValue;
case Like:
case IsNot:
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default:
return true;
}
return true;
}
// Return true if it is _possible_ that the current
// rowgroup satisfies the constraints. Only return false
// if it definitely does not.
//
// This avoids opening rowgroups that can't return useful
// data, which provides substantial performance benefits.
bool ParquetCursor::currentRowGroupSatisfiesFilter() {
for(unsigned int i = 0; i < constraints.size(); i++) {
int column = constraints[i].column;
int op = constraints[i].op;
bool rv = true;
if(column == -1) {
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rv = currentRowGroupSatisfiesRowIdFilter(constraints[i]);
} else {
std::unique_ptr<parquet::ColumnChunkMetaData> md = rowGroupMetadata->ColumnChunk(column);
if(md->is_stats_set()) {
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std::shared_ptr<parquet::Statistics> 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];
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if(pqType == parquet::Type::BYTE_ARRAY && ConvertedTypes[column] == parquet::ConvertedType::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);
}
}
}
}
// and it with the existing actual, which may have come from a previous run
rv = rv && constraints[i].bitmap.getActualMembership(rowGroupId);
if(!rv) {
constraints[i].bitmap.setEstimatedMembership(rowGroupId, rv);
constraints[i].bitmap.setActualMembership(rowGroupId, rv);
return rv;
}
}
// printf("rowGroup %d %s\n", rowGroupId, overallRv ? "may satisfy" : "does not satisfy");
return true;
}
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bool ParquetCursor::nextRowGroup() {
start:
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// 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) {
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return false;
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}
while(table->getNumColumns() >= 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());
}
rowGroupStartRowId = rowId;
rowGroupId++;
rowGroupMetadata = reader->metadata()->RowGroup(rowGroupId);
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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());
}
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while(ConvertedTypes.size() < (unsigned int)rowGroupMetadata->num_columns()) {
ConvertedTypes.push_back(rowGroupMetadata->schema()->Column(0)->converted_type());
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}
for(unsigned int i = 0; i < (unsigned int)rowGroupMetadata->num_columns(); i++) {
types[i] = rowGroupMetadata->schema()->Column(i)->physical_type();
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ConvertedTypes[i] = rowGroupMetadata->schema()->Column(i)->converted_type();
}
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for(unsigned int i = 0; i < colRows.size(); i++) {
colRows[i] = rowId;
}
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// Increment rowId so currentRowGroupSatisfiesRowIdFilter can access it;
// it'll get decremented by our caller
rowId++;
// We're going to scan this row group; reset the expectation of discovering
// a row
for(unsigned int i = 0; i < constraints.size(); i++) {
if(rowGroupId > 0 && constraints[i].rowGroupId == rowGroupId - 1) {
constraints[i].bitmap.setActualMembership(rowGroupId - 1, constraints[i].hadRows);
}
constraints[i].hadRows = false;
}
if(!currentRowGroupSatisfiesFilter())
goto start;
for(unsigned int i = 0; i < constraints.size(); i++) {
constraints[i].rowGroupId = rowGroupId;
}
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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() {
bool overallRv = true;
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 {
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if(ConvertedTypes[column] == parquet::ConvertedType::UTF8) {
rv = currentRowSatisfiesTextFilter(constraints[i]);
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} else {
parquet::Type::type pqType = types[column];
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]);
}
}
}
// it defaults to false; so only set it if true
// ideally we'd short-circuit if we'd already set this group as visited
if(rv) {
constraints[i].hadRows = true;
}
overallRv = overallRv && rv;
}
return overallRv;
}
void ParquetCursor::next() {
// Returns true if we've crossed a row group boundary
start:
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if(rowsLeftInRowGroup == 0) {
if(!nextRowGroup()) {
// put rowId over the edge so eof returns true
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rowId = numRows + 1;
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return;
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} 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--;
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}
}
rowsLeftInRowGroup--;
rowId++;
if(constraints.size() > 0 && !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)
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;
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bool hadValue = false;
switch(types[col]) {
case parquet::Type::INT32:
{
parquet::Int32Scanner* s = (parquet::Int32Scanner*)scanners[col].get();
int rv = 0;
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hadValue = s->NextValue(&rv, &wasNull);
colIntValues[col] = rv;
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break;
}
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case parquet::Type::FLOAT:
{
parquet::FloatScanner* s = (parquet::FloatScanner*)scanners[col].get();
float rv = 0;
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hadValue = s->NextValue(&rv, &wasNull);
colDoubleValues[col] = rv;
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break;
}
case parquet::Type::DOUBLE:
{
parquet::DoubleScanner* s = (parquet::DoubleScanner*)scanners[col].get();
double rv = 0;
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hadValue = s->NextValue(&rv, &wasNull);
colDoubleValues[col] = rv;
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break;
}
case parquet::Type::BYTE_ARRAY:
{
parquet::ByteArrayScanner* s = (parquet::ByteArrayScanner*)scanners[col].get();
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hadValue = s->NextValue(&colByteArrayValues[col], &wasNull);
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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};
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hadValue = s->NextValue(&rv, &wasNull);
colIntValues[col] = int96toMsSinceEpoch(rv);
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break;
}
case parquet::Type::INT64:
{
parquet::Int64Scanner* s = (parquet::Int64Scanner*)scanners[col].get();
long rv = 0;
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hadValue = s->NextValue(&rv, &wasNull);
colIntValues[col] = rv;
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break;
}
case parquet::Type::BOOLEAN:
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{
parquet::BoolScanner* s = (parquet::BoolScanner*)scanners[col].get();
bool rv = false;
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hadValue = s->NextValue(&rv, &wasNull);
colIntValues[col] = rv ? 1 : 0;
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break;
}
case parquet::Type::FIXED_LEN_BYTE_ARRAY:
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{
parquet::FixedLenByteArrayScanner* s = (parquet::FixedLenByteArrayScanner*)scanners[col].get();
parquet::FixedLenByteArray flba;
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hadValue = s->NextValue(&flba, &wasNull);
colByteArrayValues[col].ptr = flba.ptr;
// TODO: cache this
colByteArrayValues[col].len = rowGroupMetadata->schema()->Column(col)->type_length();
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break;
}
default:
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// 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;
}
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if(!hadValue)
throw std::invalid_argument("unexpectedly lacking a next value");
colNulls[col] = wasNull;
}
}
bool ParquetCursor::isNull(int col) {
// -1 is rowid, which is trivially non null
if(col == -1)
return false;
return colNulls[col];
}
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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];
}
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parquet::ConvertedType::type ParquetCursor::getConvertedType(int col) {
return ConvertedTypes[col];
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}
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void ParquetCursor::close() {
if(reader != NULL) {
reader->Close();
}
}
void ParquetCursor::reset(std::vector<Constraint> constraints) {
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close();
this->constraints = constraints;
rowId = 0;
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// 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->getFile().data(),
true,
parquet::default_reader_properties(),
table->getMetadata());
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rowGroupId = -1;
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rowGroupSize = 0;
rowGroupStartRowId = 0;
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// 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();
}
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ParquetTable* ParquetCursor::getTable() const { return table; }
unsigned int ParquetCursor::getNumRowGroups() const { return numRowGroups; }
unsigned int ParquetCursor::getNumConstraints() const { return constraints.size(); }
const Constraint& ParquetCursor::getConstraint(unsigned int i) const { return constraints[i]; }