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

192 lines
7.0 KiB
C++

#pragma once
#include "column.h"
#include "utils.h"
#include <vector>
namespace datastore {
/**
* Represents column of Tuple([T]).
*/
class ColumnTuple : public Column {
public:
ColumnTuple(const std::vector<ColumnRef>& columns);
ColumnTuple(const std::vector<ColumnRef>& columns,
std::vector<std::string> names);
/// Returns count of columns in the tuple.
size_t TupleSize() const;
inline ColumnRef operator [] (size_t n) const {
return columns_[n];
}
inline ColumnRef At(size_t n) const {
return columns_[n];
}
public:
/// Increase the capacity of the column for large block insertion.
void Reserve(size_t new_cap) override;
/// Appends content of given column to the end of current one.
void Append(ColumnRef column) override;
/// Loads column prefix from input stream.
bool LoadPrefix(InputStream* input, size_t rows) override;
/// Loads column data from input stream.
bool LoadBody(InputStream* input, size_t rows) override;
/// Saves column prefix to output stream.
void SavePrefix(OutputStream* output) override;
/// Saves column data to output stream.
void SaveBody(OutputStream* output) override;
/// Clear column data .
void Clear() override;
/// Returns count of rows in the column.
size_t Size() const override;
/// Makes slice of the current column.
ColumnRef Slice(size_t, size_t) const override;
ColumnRef CloneEmpty() const override;
void Swap(Column& other) override;
private:
std::vector<ColumnRef> columns_;
};
template <typename... Columns>
class ColumnTupleT : public ColumnTuple {
public:
using TupleOfColumns = std::tuple<std::shared_ptr<Columns>...>;
using ValueType = std::tuple<std::decay_t<decltype(std::declval<Columns>().At(0))>...>;
ColumnTupleT(std::tuple<std::shared_ptr<Columns>...> columns)
: ColumnTuple(TupleToVector(columns)), typed_columns_(std::move(columns)) {}
ColumnTupleT(std::tuple<std::shared_ptr<Columns>...> columns, std::vector<std::string> names)
: ColumnTuple(TupleToVector(columns), std::move(names)), typed_columns_(std::move(columns)) {}
ColumnTupleT(std::vector<ColumnRef> columns)
: ColumnTuple(columns), typed_columns_(VectorToTuple(std::move(columns))) {}
ColumnTupleT(std::vector<ColumnRef> columns, std::vector<std::string> names)
: ColumnTuple(columns, std::move(names)), typed_columns_(VectorToTuple(std::move(columns))) {}
ColumnTupleT(const std::initializer_list<ColumnRef> columns)
: ColumnTuple(columns), typed_columns_(VectorToTuple(std::move(columns))) {}
ColumnTupleT(std::initializer_list<ColumnRef> columns, std::vector<std::string> names)
: ColumnTuple(std::vector<ColumnRef>(columns), std::move(names))
, typed_columns_(VectorToTuple(std::vector<ColumnRef>(columns))) {}
inline ValueType At(size_t index) const { return GetTupleOfValues(index); }
inline ValueType operator[](size_t index) const { return GetTupleOfValues(index); }
using ColumnTuple::Append;
template <typename... T>
inline void Append(std::tuple<T...> value) {
AppendTuple(std::move(value));
}
/** Create a ColumnTupleT from a ColumnTuple, without copying data and offsets, but by
* 'stealing' those from `col`.
*
* Ownership of column internals is transferred to returned object, original (argument) object
* MUST NOT BE USED IN ANY WAY, it is only safe to dispose it.
*
* Throws an exception if `col` is of wrong type, it is safe to use original col in this case.
* This is a static method to make such conversion verbose.
*/
static auto Wrap(ColumnTuple&& col) {
if (col.TupleSize() != std::tuple_size_v<TupleOfColumns>) {
throw ValidationError("Can't wrap from " + col.GetType().GetName());
}
auto names = col.Type()->As<TupleType>()->GetItemNames();
return std::make_shared<ColumnTupleT<Columns...>>(VectorToTuple(std::move(col)), std::move(names));
}
static auto Wrap(Column&& col) { return Wrap(std::move(dynamic_cast<ColumnTuple&&>(col))); }
// Helper to simplify integration with other APIs
static auto Wrap(ColumnRef&& col) { return Wrap(std::move(*col->AsStrict<ColumnTuple>())); }
ColumnRef Slice(size_t begin, size_t size) const override {
return Wrap(ColumnTuple::Slice(begin, size));
}
ColumnRef CloneEmpty() const override { return Wrap(ColumnTuple::CloneEmpty()); }
void Swap(Column& other) override {
auto& col = dynamic_cast<ColumnTupleT<Columns...>&>(other);
typed_columns_.swap(col.typed_columns_);
ColumnTuple::Swap(other);
}
private:
template <typename T, size_t index = std::tuple_size_v<T>>
inline void AppendTuple([[maybe_unused]] T value) {
static_assert(index <= std::tuple_size_v<T>);
static_assert(std::tuple_size_v<TupleOfColumns> == std::tuple_size_v<T>);
if constexpr (index == 0) {
return;
} else {
std::get<index - 1>(typed_columns_)->Append(std::move(std::get<index - 1>(value)));
AppendTuple<T, index - 1>(std::move(value));
}
}
template <typename T, size_t index = std::tuple_size_v<T>>
inline static std::vector<ColumnRef> TupleToVector([[maybe_unused]] const T& value) {
static_assert(index <= std::tuple_size_v<T>);
if constexpr (index == 0) {
std::vector<ColumnRef> result;
result.reserve(std::tuple_size_v<T>);
return result;
} else {
auto result = TupleToVector<T, index - 1>(value);
result.push_back(std::get<index - 1>(value));
return result;
}
}
template <typename T, size_t column_index = std::tuple_size_v<TupleOfColumns>>
inline static auto VectorToTuple([[maybe_unused]] T columns) {
static_assert(column_index <= std::tuple_size_v<TupleOfColumns>);
if constexpr (column_index == 0) {
return std::make_tuple();
} else {
using ColumnType =
typename std::tuple_element<column_index - 1, TupleOfColumns>::type::element_type;
auto column = WrapColumn<ColumnType>(columns[column_index - 1]);
return std::tuple_cat(std::move(VectorToTuple<T, column_index - 1>(std::move(columns))),
std::make_tuple(std::move(column)));
}
}
template <size_t column_index = std::tuple_size_v<TupleOfColumns>>
inline auto GetTupleOfValues([[maybe_unused]]size_t index) const {
static_assert(column_index <= std::tuple_size_v<TupleOfColumns>);
if constexpr (column_index == 0) {
return std::make_tuple();
} else {
return std::tuple_cat(
std::move(GetTupleOfValues<column_index - 1>(index)),
std::move(std::make_tuple(std::get<column_index - 1>(typed_columns_)->At(index))));
}
}
TupleOfColumns typed_columns_;
};
} // namespace datastore