mirror of
https://github.com/hanzo-ds/cpp.git
synced 2026-10-30 20:31:26 +00:00
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.
366 lines
9.0 KiB
C++
366 lines
9.0 KiB
C++
#include "date.h"
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#include <cstdint>
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namespace datastore {
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ColumnDate::ColumnDate()
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: Column(Type::CreateDate())
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, data_(std::make_shared<ColumnUInt16>())
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{
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}
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ColumnDate::ColumnDate(std::vector<uint16_t>&& data)
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: Column(Type::CreateDate())
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, data_(std::make_shared<ColumnUInt16>(std::move(data)))
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{
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}
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void ColumnDate::Append(const std::time_t& value) {
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/// The implementation is fundamentally wrong, ignores timezones, leap years and daylight saving.
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data_->Append(static_cast<uint16_t>(value / std::time_t(86400)));
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}
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void ColumnDate::Clear() {
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data_->Clear();
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}
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std::time_t ColumnDate::At(size_t n) const {
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/// The implementation is fundamentally wrong, ignores timezones, leap years and daylight saving.
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return static_cast<std::time_t>(data_->At(n)) * 86400;
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}
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void ColumnDate::AppendRaw(uint16_t value) {
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data_->Append(value);
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}
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uint16_t ColumnDate::RawAt(size_t n) const {
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return data_->At(n);
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}
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void ColumnDate::Append(ColumnRef column) {
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if (auto col = column->As<ColumnDate>()) {
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data_->Append(col->data_);
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}
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}
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std::vector<uint16_t>& ColumnDate::GetWritableData() {
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return data_->GetWritableData();
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}
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void ColumnDate::Reserve(size_t new_cap) {
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data_->Reserve(new_cap);
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}
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size_t ColumnDate::Capacity() const {
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return data_->Capacity();
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}
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bool ColumnDate::LoadBody(InputStream* input, size_t rows) {
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return data_->LoadBody(input, rows);
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}
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void ColumnDate::SaveBody(OutputStream* output) {
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data_->SaveBody(output);
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}
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size_t ColumnDate::Size() const {
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return data_->Size();
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}
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ColumnRef ColumnDate::Slice(size_t begin, size_t len) const {
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auto col = data_->Slice(begin, len)->As<ColumnUInt16>();
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auto result = std::make_shared<ColumnDate>();
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result->data_->Append(col);
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return result;
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}
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ColumnRef ColumnDate::CloneEmpty() const {
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return std::make_shared<ColumnDate>();
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}
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void ColumnDate::Swap(Column& other) {
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auto & col = dynamic_cast<ColumnDate &>(other);
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data_.swap(col.data_);
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}
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ItemView ColumnDate::GetItem(size_t index) const {
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return ItemView(Type::Date, data_->GetItem(index));
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}
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ColumnDate32::ColumnDate32()
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: Column(Type::CreateDate32())
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, data_(std::make_shared<ColumnInt32>())
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{
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}
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ColumnDate32::ColumnDate32(std::vector<int32_t>&& data)
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: Column(Type::CreateDate32())
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, data_(std::make_shared<ColumnInt32>(std::move(data)))
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{
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}
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void ColumnDate32::Append(const std::time_t& value) {
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/// The implementation is fundamentally wrong, ignores timezones, leap years and daylight saving.
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data_->Append(static_cast<int32_t>(value / std::time_t(86400)));
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}
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void ColumnDate32::Clear() {
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data_->Clear();
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}
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std::time_t ColumnDate32::At(size_t n) const {
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/// The implementation is fundamentally wrong, ignores timezones, leap years and daylight saving.
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return static_cast<std::time_t>(data_->At(n)) * 86400;
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}
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void ColumnDate32::Append(ColumnRef column) {
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if (auto col = column->As<ColumnDate32>()) {
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data_->Append(col->data_);
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}
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}
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std::vector<int32_t>& ColumnDate32::GetWritableData() {
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return data_->GetWritableData();
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}
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void ColumnDate32::Reserve(size_t new_cap) {
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data_->Reserve(new_cap);
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}
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size_t ColumnDate32::Capacity() const {
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return data_->Capacity();
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}
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void ColumnDate32::AppendRaw(int32_t value) {
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data_->Append(value);
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}
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int32_t ColumnDate32::RawAt(size_t n) const {
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return data_->At(n);
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}
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bool ColumnDate32::LoadBody(InputStream* input, size_t rows) {
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return data_->LoadBody(input, rows);
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}
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void ColumnDate32::SaveBody(OutputStream* output) {
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data_->SaveBody(output);
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}
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size_t ColumnDate32::Size() const {
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return data_->Size();
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}
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ColumnRef ColumnDate32::Slice(size_t begin, size_t len) const {
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auto col = data_->Slice(begin, len)->As<ColumnInt32>();
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auto result = std::make_shared<ColumnDate32>();
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result->data_->Append(col);
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return result;
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}
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ColumnRef ColumnDate32::CloneEmpty() const {
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return std::make_shared<ColumnDate32>();
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}
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void ColumnDate32::Swap(Column& other) {
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auto & col = dynamic_cast<ColumnDate32 &>(other);
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data_.swap(col.data_);
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}
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ItemView ColumnDate32::GetItem(size_t index) const {
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return ItemView{Type()->GetCode(), data_->GetItem(index)};
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}
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ColumnDateTime::ColumnDateTime()
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: Column(Type::CreateDateTime())
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, data_(std::make_shared<ColumnUInt32>())
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{
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}
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ColumnDateTime::ColumnDateTime(std::string timezone)
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: Column(Type::CreateDateTime(std::move(timezone)))
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, data_(std::make_shared<ColumnUInt32>())
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{
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}
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ColumnDateTime::ColumnDateTime(std::vector<uint32_t>&& data)
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: Column(Type::CreateDateTime())
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, data_(std::make_shared<ColumnUInt32>(std::move(data))) {
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}
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ColumnDateTime::ColumnDateTime(std::string timezone, std::vector<uint32_t>&& data)
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: Column(Type::CreateDateTime(std::move(timezone)))
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, data_(std::make_shared<ColumnUInt32>(std::move(data))) {
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}
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void ColumnDateTime::Append(const std::time_t& value) {
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data_->Append(static_cast<uint32_t>(value));
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}
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std::time_t ColumnDateTime::At(size_t n) const {
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return data_->At(n);
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}
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void ColumnDateTime::AppendRaw(uint32_t value) {
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data_->Append(value);
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}
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uint32_t ColumnDateTime::RawAt(size_t n) const {
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return data_->At(n);
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}
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std::string ColumnDateTime::Timezone() const {
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return type_->As<DateTimeType>()->Timezone();
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}
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void ColumnDateTime::Append(ColumnRef column) {
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if (auto col = column->As<ColumnDateTime>()) {
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data_->Append(col->data_);
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}
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}
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std::vector<uint32_t>& ColumnDateTime::GetWritableData() {
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return data_->GetWritableData();
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}
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void ColumnDateTime::Reserve(size_t new_cap) {
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data_->Reserve(new_cap);
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}
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size_t ColumnDateTime::Capacity() const {
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return data_->Capacity();
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}
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bool ColumnDateTime::LoadBody(InputStream* input, size_t rows) {
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return data_->LoadBody(input, rows);
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}
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void ColumnDateTime::SaveBody(OutputStream* output) {
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data_->SaveBody(output);
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}
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size_t ColumnDateTime::Size() const {
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return data_->Size();
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}
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void ColumnDateTime::Clear() {
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data_->Clear();
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}
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ColumnRef ColumnDateTime::Slice(size_t begin, size_t len) const {
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auto col = data_->Slice(begin, len)->As<ColumnUInt32>();
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auto result = std::make_shared<ColumnDateTime>();
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result->data_->Append(col);
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return result;
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}
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ColumnRef ColumnDateTime::CloneEmpty() const {
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return std::make_shared<ColumnDateTime>();
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}
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void ColumnDateTime::Swap(Column& other) {
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auto & col = dynamic_cast<ColumnDateTime &>(other);
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data_.swap(col.data_);
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}
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ItemView ColumnDateTime::GetItem(size_t index) const {
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return ItemView(Type::DateTime, data_->GetItem(index));
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}
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ColumnDateTime64::ColumnDateTime64(size_t precision)
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: ColumnDateTime64(Type::CreateDateTime64(precision), std::make_shared<ColumnDecimal>(18ul, precision))
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{}
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ColumnDateTime64::ColumnDateTime64(size_t precision, std::string timezone)
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: ColumnDateTime64(Type::CreateDateTime64(precision, std::move(timezone)), std::make_shared<ColumnDecimal>(18ul, precision))
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{}
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ColumnDateTime64::ColumnDateTime64(TypeRef type, std::shared_ptr<ColumnDecimal> data)
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: Column(type),
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data_(data),
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precision_(type->As<DateTime64Type>()->GetPrecision())
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{}
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void ColumnDateTime64::Append(const Int64& value) {
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// TODO: we need a type, which safely represents datetime.
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// The precision of Poco.DateTime is not big enough.
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data_->Append(value);
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}
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//void ColumnDateTime64::Append(const std::string& value) {
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// data_->Append(value);
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//}
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Int64 ColumnDateTime64::At(size_t n) const {
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// make sure to use Absl's Int128 conversion
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return static_cast<Int64>(data_->At(n));
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}
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std::string ColumnDateTime64::Timezone() const {
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return type_->As<DateTime64Type>()->Timezone();
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}
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void ColumnDateTime64::Reserve(size_t new_cap)
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{
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data_->Reserve(new_cap);
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}
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void ColumnDateTime64::Append(ColumnRef column) {
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if (auto col = column->As<ColumnDateTime64>()) {
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data_->Append(col->data_);
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}
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}
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bool ColumnDateTime64::LoadBody(InputStream* input, size_t rows) {
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return data_->LoadBody(input, rows);
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}
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void ColumnDateTime64::SaveBody(OutputStream* output) {
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data_->SaveBody(output);
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}
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void ColumnDateTime64::Clear() {
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data_->Clear();
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}
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size_t ColumnDateTime64::Size() const {
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return data_->Size();
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}
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ItemView ColumnDateTime64::GetItem(size_t index) const {
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return ItemView(Type::DateTime64, data_->GetItem(index));
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}
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void ColumnDateTime64::Swap(Column& other) {
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auto& col = dynamic_cast<ColumnDateTime64&>(other);
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if (col.GetPrecision() != GetPrecision()) {
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throw ValidationError("Can't swap DateTime64 columns when precisions are not the same: "
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+ std::to_string(GetPrecision()) + "(this) != " + std::to_string(col.GetPrecision()) + "(that)");
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}
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data_.swap(col.data_);
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}
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ColumnRef ColumnDateTime64::Slice(size_t begin, size_t len) const {
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auto sliced_data = data_->Slice(begin, len)->As<ColumnDecimal>();
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return ColumnRef{new ColumnDateTime64(type_, sliced_data)};
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}
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ColumnRef ColumnDateTime64::CloneEmpty() const {
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return ColumnRef{new ColumnDateTime64(type_, data_->CloneEmpty()->As<ColumnDecimal>())};
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}
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size_t ColumnDateTime64::GetPrecision() const {
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return precision_;
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}
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}
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