Files
zeekay 286f257aae De-brand the client: clickhouse-cpp -> datastore-cpp
Pure rename applied on top of upstream tag v2.6.2 (8d2415d6), not HEAD.
The fork was cut at 737145d = v2.6.2-57, which still declared version 2.6.2
in version.h; renaming there would have shipped 57 unreleased commits wearing
a 2.6.2 label. Reset to the tag first so this commit changes names only.

  clickhouse/            -> datastore/            (public include root)
  namespace clickhouse   -> namespace datastore
  CLICKHOUSE_CPP_VERSION -> DATASTORE_CPP_VERSION
  clickhouse-cpp-lib/-ut -> datastore-cpp-lib/-ut (CMake, Bazel)
  CH_MAP_BOOL_TO_UINT8   -> DS_MAP_BOOL_TO_UINT8
  CLICKHOUSE_*           -> DATASTORE_*           (test env vars)
  doc links              -> docs.hanzo.ai/datastore

This client speaks the NATIVE binary protocol only - there is no HTTP path
and no X-ClickHouse-* header anywhere in it, so the header rename that the
HTTP clients required does not apply and nothing here was broken.

The one string that reaches the wire is CLIENT_NAME, sent by both SendHello
and SendQuery's ClientInfo from a single macro, and it lands in
system.query_log.client_name. Both sites still read the one macro, so they
stay consistent and the server's Hello/Query consistency check is satisfied.
Old rows keep the old name; that is a reporting discontinuity, not a
migration, since nothing keys on it.

CI is repointed at our own server: ghcr.io/hanzoai/datastore:26.2.3.2, the
image production runs. Its entrypoint honours DATASTORE_SKIP_USER_SETUP, not
the CLICKHOUSE_ spelling the compose file used, and its config lives in
/etc/hanzo-datastore-server. ci/docker-compose/config.xml is now layered in
as a config.d drop-in so the image keeps its own white-labelling. That file
and users.xml deliberately keep a <clickhouse> root: it must match the roots
of the drop-ins the image ships, and a mismatch fails silently - the server
logs "Merging bypassed" and starts with every drop-in discarded.

The remote-TLS suites used to default to the third-party host
play.clickhouse.com. They now read DATASTORE_SECURE*_HOST and skip when it is
unset rather than point at a host we do not run.

Dropped as upstream infrastructure with no meaning here: AI_POLICY.md
(upstream's policy about their codebase), .travis.yml (dead CI referencing a
third-party apt repo), cross-repo-bug-relay.yml (relays our issues into an
upstream triage repo). LICENSE keeps its copyright notice, as Apache-2.0
requires.

Verified: cmake configure + 115-target build clean; the full suite is green
against ghcr.io/hanzoai/datastore:26.2.3.2 (894 passed, 0 failed); the
pristine v2.6.2 build run against that same server passes the identical set,
and both logged the same 3914 queries under their respective client names.
2026-07-26 11:44:39 -07:00

366 lines
9.0 KiB
C++

#include "date.h"
#include <cstdint>
namespace datastore {
ColumnDate::ColumnDate()
: Column(Type::CreateDate())
, data_(std::make_shared<ColumnUInt16>())
{
}
ColumnDate::ColumnDate(std::vector<uint16_t>&& data)
: Column(Type::CreateDate())
, data_(std::make_shared<ColumnUInt16>(std::move(data)))
{
}
void ColumnDate::Append(const std::time_t& value) {
/// The implementation is fundamentally wrong, ignores timezones, leap years and daylight saving.
data_->Append(static_cast<uint16_t>(value / std::time_t(86400)));
}
void ColumnDate::Clear() {
data_->Clear();
}
std::time_t ColumnDate::At(size_t n) const {
/// The implementation is fundamentally wrong, ignores timezones, leap years and daylight saving.
return static_cast<std::time_t>(data_->At(n)) * 86400;
}
void ColumnDate::AppendRaw(uint16_t value) {
data_->Append(value);
}
uint16_t ColumnDate::RawAt(size_t n) const {
return data_->At(n);
}
void ColumnDate::Append(ColumnRef column) {
if (auto col = column->As<ColumnDate>()) {
data_->Append(col->data_);
}
}
std::vector<uint16_t>& ColumnDate::GetWritableData() {
return data_->GetWritableData();
}
void ColumnDate::Reserve(size_t new_cap) {
data_->Reserve(new_cap);
}
size_t ColumnDate::Capacity() const {
return data_->Capacity();
}
bool ColumnDate::LoadBody(InputStream* input, size_t rows) {
return data_->LoadBody(input, rows);
}
void ColumnDate::SaveBody(OutputStream* output) {
data_->SaveBody(output);
}
size_t ColumnDate::Size() const {
return data_->Size();
}
ColumnRef ColumnDate::Slice(size_t begin, size_t len) const {
auto col = data_->Slice(begin, len)->As<ColumnUInt16>();
auto result = std::make_shared<ColumnDate>();
result->data_->Append(col);
return result;
}
ColumnRef ColumnDate::CloneEmpty() const {
return std::make_shared<ColumnDate>();
}
void ColumnDate::Swap(Column& other) {
auto & col = dynamic_cast<ColumnDate &>(other);
data_.swap(col.data_);
}
ItemView ColumnDate::GetItem(size_t index) const {
return ItemView(Type::Date, data_->GetItem(index));
}
ColumnDate32::ColumnDate32()
: Column(Type::CreateDate32())
, data_(std::make_shared<ColumnInt32>())
{
}
ColumnDate32::ColumnDate32(std::vector<int32_t>&& data)
: Column(Type::CreateDate32())
, data_(std::make_shared<ColumnInt32>(std::move(data)))
{
}
void ColumnDate32::Append(const std::time_t& value) {
/// The implementation is fundamentally wrong, ignores timezones, leap years and daylight saving.
data_->Append(static_cast<int32_t>(value / std::time_t(86400)));
}
void ColumnDate32::Clear() {
data_->Clear();
}
std::time_t ColumnDate32::At(size_t n) const {
/// The implementation is fundamentally wrong, ignores timezones, leap years and daylight saving.
return static_cast<std::time_t>(data_->At(n)) * 86400;
}
void ColumnDate32::Append(ColumnRef column) {
if (auto col = column->As<ColumnDate32>()) {
data_->Append(col->data_);
}
}
std::vector<int32_t>& ColumnDate32::GetWritableData() {
return data_->GetWritableData();
}
void ColumnDate32::Reserve(size_t new_cap) {
data_->Reserve(new_cap);
}
size_t ColumnDate32::Capacity() const {
return data_->Capacity();
}
void ColumnDate32::AppendRaw(int32_t value) {
data_->Append(value);
}
int32_t ColumnDate32::RawAt(size_t n) const {
return data_->At(n);
}
bool ColumnDate32::LoadBody(InputStream* input, size_t rows) {
return data_->LoadBody(input, rows);
}
void ColumnDate32::SaveBody(OutputStream* output) {
data_->SaveBody(output);
}
size_t ColumnDate32::Size() const {
return data_->Size();
}
ColumnRef ColumnDate32::Slice(size_t begin, size_t len) const {
auto col = data_->Slice(begin, len)->As<ColumnInt32>();
auto result = std::make_shared<ColumnDate32>();
result->data_->Append(col);
return result;
}
ColumnRef ColumnDate32::CloneEmpty() const {
return std::make_shared<ColumnDate32>();
}
void ColumnDate32::Swap(Column& other) {
auto & col = dynamic_cast<ColumnDate32 &>(other);
data_.swap(col.data_);
}
ItemView ColumnDate32::GetItem(size_t index) const {
return ItemView{Type()->GetCode(), data_->GetItem(index)};
}
ColumnDateTime::ColumnDateTime()
: Column(Type::CreateDateTime())
, data_(std::make_shared<ColumnUInt32>())
{
}
ColumnDateTime::ColumnDateTime(std::string timezone)
: Column(Type::CreateDateTime(std::move(timezone)))
, data_(std::make_shared<ColumnUInt32>())
{
}
ColumnDateTime::ColumnDateTime(std::vector<uint32_t>&& data)
: Column(Type::CreateDateTime())
, data_(std::make_shared<ColumnUInt32>(std::move(data))) {
}
ColumnDateTime::ColumnDateTime(std::string timezone, std::vector<uint32_t>&& data)
: Column(Type::CreateDateTime(std::move(timezone)))
, data_(std::make_shared<ColumnUInt32>(std::move(data))) {
}
void ColumnDateTime::Append(const std::time_t& value) {
data_->Append(static_cast<uint32_t>(value));
}
std::time_t ColumnDateTime::At(size_t n) const {
return data_->At(n);
}
void ColumnDateTime::AppendRaw(uint32_t value) {
data_->Append(value);
}
uint32_t ColumnDateTime::RawAt(size_t n) const {
return data_->At(n);
}
std::string ColumnDateTime::Timezone() const {
return type_->As<DateTimeType>()->Timezone();
}
void ColumnDateTime::Append(ColumnRef column) {
if (auto col = column->As<ColumnDateTime>()) {
data_->Append(col->data_);
}
}
std::vector<uint32_t>& ColumnDateTime::GetWritableData() {
return data_->GetWritableData();
}
void ColumnDateTime::Reserve(size_t new_cap) {
data_->Reserve(new_cap);
}
size_t ColumnDateTime::Capacity() const {
return data_->Capacity();
}
bool ColumnDateTime::LoadBody(InputStream* input, size_t rows) {
return data_->LoadBody(input, rows);
}
void ColumnDateTime::SaveBody(OutputStream* output) {
data_->SaveBody(output);
}
size_t ColumnDateTime::Size() const {
return data_->Size();
}
void ColumnDateTime::Clear() {
data_->Clear();
}
ColumnRef ColumnDateTime::Slice(size_t begin, size_t len) const {
auto col = data_->Slice(begin, len)->As<ColumnUInt32>();
auto result = std::make_shared<ColumnDateTime>();
result->data_->Append(col);
return result;
}
ColumnRef ColumnDateTime::CloneEmpty() const {
return std::make_shared<ColumnDateTime>();
}
void ColumnDateTime::Swap(Column& other) {
auto & col = dynamic_cast<ColumnDateTime &>(other);
data_.swap(col.data_);
}
ItemView ColumnDateTime::GetItem(size_t index) const {
return ItemView(Type::DateTime, data_->GetItem(index));
}
ColumnDateTime64::ColumnDateTime64(size_t precision)
: ColumnDateTime64(Type::CreateDateTime64(precision), std::make_shared<ColumnDecimal>(18ul, precision))
{}
ColumnDateTime64::ColumnDateTime64(size_t precision, std::string timezone)
: ColumnDateTime64(Type::CreateDateTime64(precision, std::move(timezone)), std::make_shared<ColumnDecimal>(18ul, precision))
{}
ColumnDateTime64::ColumnDateTime64(TypeRef type, std::shared_ptr<ColumnDecimal> data)
: Column(type),
data_(data),
precision_(type->As<DateTime64Type>()->GetPrecision())
{}
void ColumnDateTime64::Append(const Int64& value) {
// TODO: we need a type, which safely represents datetime.
// The precision of Poco.DateTime is not big enough.
data_->Append(value);
}
//void ColumnDateTime64::Append(const std::string& value) {
// data_->Append(value);
//}
Int64 ColumnDateTime64::At(size_t n) const {
// make sure to use Absl's Int128 conversion
return static_cast<Int64>(data_->At(n));
}
std::string ColumnDateTime64::Timezone() const {
return type_->As<DateTime64Type>()->Timezone();
}
void ColumnDateTime64::Reserve(size_t new_cap)
{
data_->Reserve(new_cap);
}
void ColumnDateTime64::Append(ColumnRef column) {
if (auto col = column->As<ColumnDateTime64>()) {
data_->Append(col->data_);
}
}
bool ColumnDateTime64::LoadBody(InputStream* input, size_t rows) {
return data_->LoadBody(input, rows);
}
void ColumnDateTime64::SaveBody(OutputStream* output) {
data_->SaveBody(output);
}
void ColumnDateTime64::Clear() {
data_->Clear();
}
size_t ColumnDateTime64::Size() const {
return data_->Size();
}
ItemView ColumnDateTime64::GetItem(size_t index) const {
return ItemView(Type::DateTime64, data_->GetItem(index));
}
void ColumnDateTime64::Swap(Column& other) {
auto& col = dynamic_cast<ColumnDateTime64&>(other);
if (col.GetPrecision() != GetPrecision()) {
throw ValidationError("Can't swap DateTime64 columns when precisions are not the same: "
+ std::to_string(GetPrecision()) + "(this) != " + std::to_string(col.GetPrecision()) + "(that)");
}
data_.swap(col.data_);
}
ColumnRef ColumnDateTime64::Slice(size_t begin, size_t len) const {
auto sliced_data = data_->Slice(begin, len)->As<ColumnDecimal>();
return ColumnRef{new ColumnDateTime64(type_, sliced_data)};
}
ColumnRef ColumnDateTime64::CloneEmpty() const {
return ColumnRef{new ColumnDateTime64(type_, data_->CloneEmpty()->As<ColumnDecimal>())};
}
size_t ColumnDateTime64::GetPrecision() const {
return precision_;
}
}