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#include "clickhouse_config.h"
#if USE_AWS_S3 && USE_AVRO
#include <Common/logger_useful.h>
#include <Columns/ColumnString.h>
#include <Columns/ColumnTuple.h>
#include <Columns/IColumn.h>
#include <Storages/DataLakes/IcebergMetadataParser.h>
#include <Storages/DataLakes/S3MetadataReader.h>
#include <Storages/StorageS3.h>
#include <Processors/Formats/Impl/AvroRowInputFormat.h>
#include <Formats/FormatFactory.h>
#include <IO/ReadHelpers.h>
#include <Poco/JSON/Array.h>
#include <Poco/JSON/Object.h>
#include <Poco/JSON/Parser.h>
namespace DB
{
namespace ErrorCodes
{
extern const int FILE_DOESNT_EXIST;
extern const int ILLEGAL_COLUMN;
extern const int BAD_ARGUMENTS;
}
template <typename Configuration, typename MetadataReadHelper>
struct IcebergMetadataParser<Configuration, MetadataReadHelper>::Impl
{
Poco::Logger * log = &Poco::Logger::get("IcebergMetadataParser");
/**
* Useful links:
* - https://iceberg.apache.org/spec/
*/
/**
* Iceberg has two format versions, currently we support only format V1.
*
* Unlike DeltaLake, Iceberg has several metadata layers: `table metadata`, `manifest list` and `manifest_files`.
* Metadata file - json file.
* Manifest list – a file that lists manifest files; one per snapshot.
* Manifest file – a file that lists data or delete files; a subset of a snapshot.
* All changes to table state create a new metadata file and replace the old metadata with an atomic swap.
*/
static constexpr auto metadata_directory = "metadata";
/**
* Each version of table metadata is stored in a `metadata` directory and
* has format: v<V>.metadata.json, where V - metadata version.
*/
String getMetadataFile(const Configuration & configuration)
{
static constexpr auto metadata_file_suffix = ".metadata.json";
const auto metadata_files = MetadataReadHelper::listFiles(configuration, metadata_directory, metadata_file_suffix);
if (metadata_files.empty())
{
throw Exception(
ErrorCodes::FILE_DOESNT_EXIST,
"The metadata file for Iceberg table with path {} doesn't exist",
configuration.url.key);
}
/// Get the latest version of metadata file: v<V>.metadata.json
return *std::max_element(metadata_files.begin(), metadata_files.end());
}
/**
* In order to find out which data files to read, we need to find the `manifest list`
* which corresponds to the latest snapshot. We find it by checking a list of snapshots
* in metadata's "snapshots" section.
*
* Example of metadata.json file.
*
* {
* "format-version" : 1,
* "table-uuid" : "ca2965ad-aae2-4813-8cf7-2c394e0c10f5",
* "location" : "/iceberg_data/db/table_name",
* "last-updated-ms" : 1680206743150,
* "last-column-id" : 2,
* "schema" : { "type" : "struct", "schema-id" : 0, "fields" : [ {<field1_info>}, {<field2_info>}, ... ] },
* "current-schema-id" : 0,
* "schemas" : [ ],
* ...
* "current-snapshot-id" : 2819310504515118887,
* "refs" : { "main" : { "snapshot-id" : 2819310504515118887, "type" : "branch" } },
* "snapshots" : [ {
* "snapshot-id" : 2819310504515118887,
* "timestamp-ms" : 1680206743150,
* "summary" : {
* "operation" : "append", "spark.app.id" : "local-1680206733239",
* "added-data-files" : "1", "added-records" : "100",
* "added-files-size" : "1070", "changed-partition-count" : "1",
* "total-records" : "100", "total-files-size" : "1070", "total-data-files" : "1", "total-delete-files" : "0",
* "total-position-deletes" : "0", "total-equality-deletes" : "0"
* },
* "manifest-list" : "/iceberg_data/db/table_name/metadata/snap-2819310504515118887-1-c87bfec7-d36c-4075-ad04-600b6b0f2020.avro",
* "schema-id" : 0
* } ],
* "statistics" : [ ],
* "snapshot-log" : [ ... ],
* "metadata-log" : [ ]
* }
*/
struct Metadata
{
int format_version;
String manifest_list;
Strings manifest_files;
};
Metadata processMetadataFile(const Configuration & configuration, ContextPtr context)
{
const auto metadata_file_path = getMetadataFile(configuration);
auto buf = MetadataReadHelper::createReadBuffer(metadata_file_path, context, configuration);
String json_str;
readJSONObjectPossiblyInvalid(json_str, *buf);
Poco::JSON::Parser parser; /// For some reason base/base/JSON.h can not parse this json file
Poco::Dynamic::Var json = parser.parse(json_str);
Poco::JSON::Object::Ptr object = json.extract<Poco::JSON::Object::Ptr>();
Metadata result;
result.format_version = object->getValue<int>("format-version");
auto current_snapshot_id = object->getValue<Int64>("current-snapshot-id");
auto snapshots = object->get("snapshots").extract<Poco::JSON::Array::Ptr>();
for (size_t i = 0; i < snapshots->size(); ++i)
{
const auto snapshot = snapshots->getObject(static_cast<UInt32>(i));
if (snapshot->getValue<Int64>("snapshot-id") == current_snapshot_id)
{
const auto path = snapshot->getValue<String>("manifest-list");
result.manifest_list = std::filesystem::path(configuration.url.key) / metadata_directory / std::filesystem::path(path).filename();
break;
}
}
return result;
}
/**
* Manifest list has Avro as default format (and currently we support only Avro).
* Manifest list file format of manifest list is: snap-2819310504515118887-1-c87bfec7-d36c-4075-ad04-600b6b0f2020.avro
*
* `manifest list` has the following contents:
* ┌─manifest_path────────────────────────────────────────────────────────────────────────────────────────┬─manifest_length─┬─partition_spec_id─┬───added_snapshot_id─┬─added_data_files_count─┬─existing_data_files_count─┬─deleted_data_files_count─┬─partitions─┬─added_rows_count─┬─existing_rows_count─┬─deleted_rows_count─┐
* │ /iceberg_data/db/table_name/metadata/c87bfec7-d36c-4075-ad04-600b6b0f2020-m0.avro │ 5813 │ 0 │ 2819310504515118887 │ 1 │ 0 │ 0 │ [] │ 100 │ 0 │ 0 │
* └──────────────────────────────────────────────────────────────────────────────────────────────────────┴─────────────────┴───────────────────┴─────────────────────┴────────────────────────┴───────────────────────────┴──────────────────────────┴────────────┴──────────────────┴─────────────────────┴────────────────────┘
*/
void processManifestList(Metadata & metadata, const Configuration & configuration, ContextPtr context)
{
auto buf = MetadataReadHelper::createReadBuffer(metadata.manifest_list, context, configuration);
auto file_reader = std::make_unique<avro::DataFileReaderBase>(std::make_unique<AvroInputStreamReadBufferAdapter>(*buf));
auto data_type = AvroSchemaReader::avroNodeToDataType(file_reader->dataSchema().root()->leafAt(0));
Block header{{data_type->createColumn(), data_type, "manifest_path"}};
auto columns = parseAvro(*file_reader, header, getFormatSettings(context));
auto & col = columns.at(0);
if (col->getDataType() != TypeIndex::String)
{
throw Exception(
ErrorCodes::ILLEGAL_COLUMN,
"The parsed column from Avro file of `manifest_path` field should be String type, got {}",
col->getFamilyName());
}
const auto * col_str = typeid_cast<ColumnString *>(col.get());
for (size_t i = 0; i < col_str->size(); ++i)
{
const auto file_path = col_str->getDataAt(i).toView();
const auto filename = std::filesystem::path(file_path).filename();
metadata.manifest_files.emplace_back(std::filesystem::path(configuration.url.key) / metadata_directory / filename);
}
}
/**
* Manifest file has the following format: '/iceberg_data/db/table_name/metadata/c87bfec7-d36c-4075-ad04-600b6b0f2020-m0.avro'
*
* `manifest file` is different in format version V1 and V2 and has the following contents:
* v1 v2
* status req req
* snapshot_id req opt
* sequence_number opt
* file_sequence_number opt
* data_file req req
* Example format version V1:
* ┌─status─┬─────────snapshot_id─┬─data_file───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┐
* │ 1 │ 2819310504515118887 │ ('/iceberg_data/db/table_name/data/00000-1-3edca534-15a0-4f74-8a28-4733e0bf1270-00001.parquet','PARQUET',(),100,1070,67108864,[(1,233),(2,210)],[(1,100),(2,100)],[(1,0),(2,0)],[],[(1,'\0'),(2,'0')],[(1,'c'),(2,'99')],NULL,[4],0) │
* └────────┴─────────────────────┴─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┘
* Example format version V2:
* ┌─status─┬─────────snapshot_id─┬─sequence_number─┬─file_sequence_number─┬─data_file───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┐
* │ 1 │ 5887006101709926452 │ ᴺᵁᴸᴸ │ ᴺᵁᴸᴸ │ (0,'/iceberg_data/db/table_name/data/00000-1-c8045c90-8799-4eac-b957-79a0484e223c-00001.parquet','PARQUET',(),100,1070,[(1,233),(2,210)],[(1,100),(2,100)],[(1,0),(2,0)],[],[(1,'\0'),(2,'0')],[(1,'c'),(2,'99')],NULL,[4],[],0) │
* └────────┴─────────────────────┴─────────────────┴──────────────────────┴─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┘
* In case of partitioned data we'll have extra directory partition=value:
* ─status─┬─────────snapshot_id─┬─data_file──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┐
* │ 1 │ 2252246380142525104 │ ('/iceberg_data/db/table_name/data/a=0/00000-1-c9535a00-2f4f-405c-bcfa-6d4f9f477235-00001.parquet','PARQUET',(0),1,631,67108864,[(1,46),(2,48)],[(1,1),(2,1)],[(1,0),(2,0)],[],[(1,'\0\0\0\0\0\0\0\0'),(2,'1')],[(1,'\0\0\0\0\0\0\0\0'),(2,'1')],NULL,[4],0) │
* │ 1 │ 2252246380142525104 │ ('/iceberg_data/db/table_name/data/a=1/00000-1-c9535a00-2f4f-405c-bcfa-6d4f9f477235-00002.parquet','PARQUET',(1),1,631,67108864,[(1,46),(2,48)],[(1,1),(2,1)],[(1,0),(2,0)],[],[(1,'\0\0\0\0\0\0\0'),(2,'2')],[(1,'\0\0\0\0\0\0\0'),(2,'2')],NULL,[4],0) │
* │ 1 │ 2252246380142525104 │ ('/iceberg_data/db/table_name/data/a=2/00000-1-c9535a00-2f4f-405c-bcfa-6d4f9f477235-00003.parquet','PARQUET',(2),1,631,67108864,[(1,46),(2,48)],[(1,1),(2,1)],[(1,0),(2,0)],[],[(1,'\0\0\0\0\0\0\0'),(2,'3')],[(1,'\0\0\0\0\0\0\0'),(2,'3')],NULL,[4],0) │
* └────────┴─────────────────────┴────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┘
*/
Strings getFilesForRead(const Metadata & metadata, const Configuration & configuration, ContextPtr context)
{
NameSet keys;
for (const auto & manifest_file : metadata.manifest_files)
{
auto buffer = MetadataReadHelper::createReadBuffer(manifest_file, context, configuration);
auto file_reader = std::make_unique<avro::DataFileReaderBase>(std::make_unique<AvroInputStreamReadBufferAdapter>(*buffer));
avro::NodePtr root_node = file_reader->dataSchema().root();
size_t leaves_num = root_node->leaves();
size_t expected_min_num = metadata.format_version == 1 ? 3 : 2;
if (leaves_num < expected_min_num)
{
throw Exception(
ErrorCodes::BAD_ARGUMENTS,
"Unexpected number of columns {}. Expected at least {}",
root_node->leaves(), expected_min_num);
}
avro::NodePtr status_node = root_node->leafAt(0);
if (status_node->type() != avro::Type::AVRO_INT)
{
throw Exception(
ErrorCodes::ILLEGAL_COLUMN,
"The parsed column from Avro file of `status` field should be Int type, got {}",
magic_enum::enum_name(status_node->type()));
}
avro::NodePtr data_file_node = root_node->leafAt(static_cast<int>(leaves_num) - 1);
if (data_file_node->type() != avro::Type::AVRO_RECORD)
{
throw Exception(
ErrorCodes::ILLEGAL_COLUMN,
"The parsed column from Avro file of `data_file` field should be Tuple type, got {}",
magic_enum::enum_name(data_file_node->type()));
}
auto status_col_data_type = AvroSchemaReader::avroNodeToDataType(status_node);
auto data_col_data_type = AvroSchemaReader::avroNodeToDataType(data_file_node);
Block header{
{status_col_data_type->createColumn(), status_col_data_type, "status"},
{data_col_data_type->createColumn(), data_col_data_type, "data_file"}};
const auto columns = parseAvro(*file_reader, header, getFormatSettings(context));
if (columns.size() != 2)
{
throw Exception(ErrorCodes::ILLEGAL_COLUMN,
"Unexpected number of columns. Expected 2, got {}", columns.size());
}
if (columns.at(0)->getDataType() != TypeIndex::Int32)
{
throw Exception(ErrorCodes::ILLEGAL_COLUMN,
"The parsed column from Avro file of `status` field should be Int32 type, got {}",
columns.at(0)->getFamilyName());
}
if (columns.at(1)->getDataType() != TypeIndex::Tuple)
{
throw Exception(ErrorCodes::ILLEGAL_COLUMN,
"The parsed column from Avro file of `file_path` field should be Tuple type, got {}",
columns.at(1)->getFamilyName());
}
const auto status_int_column = assert_cast<ColumnInt32 *>(columns.at(0).get());
const auto data_file_tuple_column = assert_cast<ColumnTuple *>(columns.at(1).get());
if (status_int_column->size() != data_file_tuple_column->size())
{
throw Exception(ErrorCodes::ILLEGAL_COLUMN,
"The parsed column from Avro file of `file_path` and `status` have different rows number: {} and {}",
status_int_column->size(), data_file_tuple_column->size());
}
const auto * data_file_name_column = metadata.format_version == 1
? data_file_tuple_column->getColumnPtr(0).get()
: data_file_tuple_column->getColumnPtr(1).get();
if (data_file_name_column->getDataType() != TypeIndex::String)
{
throw Exception(ErrorCodes::ILLEGAL_COLUMN,
"The parsed column from Avro file of `file_path` field should be String type, got {}",
data_file_name_column->getFamilyName());
}
auto file_name_str_column = assert_cast<const ColumnString *>(data_file_name_column);
for (size_t i = 0; i < status_int_column->size(); ++i)
{
const auto status = status_int_column->getInt(i);
const auto data_path = std::string(file_name_str_column->getDataAt(i).toView());
const auto pos = data_path.find(configuration.url.key);
const auto file_path = data_path.substr(pos);
if (pos == std::string::npos)
throw Exception(ErrorCodes::BAD_ARGUMENTS, "Expected to find {} in data path: {}", configuration.url.key, data_path);
if (status == 2)
{
LOG_TEST(log, "Processing delete file for path: {}", file_path);
chassert(!keys.contains(file_path));
}
else
keys.insert(file_path);
}
}
return std::vector<std::string>(keys.begin(), keys.end());
}
MutableColumns parseAvro(
avro::DataFileReaderBase & file_reader,
const Block & header,
const FormatSettings & settings)
{
auto deserializer = std::make_unique<AvroDeserializer>(header, file_reader.dataSchema(), true, true, settings);
MutableColumns columns = header.cloneEmptyColumns();
file_reader.init();
RowReadExtension ext;
while (file_reader.hasMore())
{
file_reader.decr();
deserializer->deserializeRow(columns, file_reader.decoder(), ext);
}
return columns;
}
};
template <typename Configuration, typename MetadataReadHelper>
IcebergMetadataParser<Configuration, MetadataReadHelper>::IcebergMetadataParser() : impl(std::make_unique<Impl>())
{
}
template <typename Configuration, typename MetadataReadHelper>
Strings IcebergMetadataParser<Configuration, MetadataReadHelper>::getFiles(const Configuration & configuration, ContextPtr context)
{
auto metadata = impl->processMetadataFile(configuration, context);
/// When table first created and does not have any data
if (metadata.manifest_list.empty())
return {};
impl->processManifestList(metadata, configuration, context);
return impl->getFilesForRead(metadata, configuration, context);
}
template IcebergMetadataParser<StorageS3::Configuration, S3DataLakeMetadataReadHelper>::IcebergMetadataParser();
template Strings IcebergMetadataParser<StorageS3::Configuration, S3DataLakeMetadataReadHelper>::getFiles(const StorageS3::Configuration & configuration, ContextPtr);
}
#endif
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