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modifying ci_scripts/install_pmem_common.sh oap-ape/README.md #213
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,4 +1,5 @@ | ||
| cd /tmp | ||
| git clone https://github.com/oap-project/pmem-common.git | ||
| cd pmem-common/ | ||
| git checkout branch-1.1-spark-3.x | ||
| mvn install -am -q -DskipTests |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,170 @@ | ||
| #include <stdlib.h> | ||
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| #include <iostream> | ||
| #include <memory> | ||
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| #include <arrow/api.h> | ||
| #include <arrow/filesystem/api.h> | ||
| #include <parquet/api/reader.h> | ||
| #include <gtest/gtest.h> | ||
| #include <vector> | ||
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| #include "src/reader.h" | ||
| #include "src/utils/PredicateExpression.h" | ||
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| TEST(predicateFilterTest, minMaxTest) | ||
| { | ||
| arrow::fs::HdfsOptions options_; | ||
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| std::string hdfs_host = "clx06-AEP"; | ||
| int hdfs_port = 8020; | ||
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| options_.ConfigureEndPoint(hdfs_host, hdfs_port); | ||
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| auto result = arrow::fs::HadoopFileSystem::Make(options_); | ||
| EXPECT_TRUE(result.ok()) << "HadoopFileSystem Make failed"; | ||
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| std::shared_ptr<arrow::fs::FileSystem> fs_ = | ||
| std::make_shared<arrow::fs::SubTreeFileSystem>("", *result); | ||
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| std::string file_name = | ||
| "/user/hive/warehouse/tpcds_hdfs_parquet_10.db/store_sales/ss_sold_date_sk=2450817/" | ||
| "part-00013-0828d1ab-ef1f-4b55-bf94-c071fb76c353.c000.snappy.parquet"; | ||
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| auto file_result = fs_->OpenInputFile(file_name); | ||
| EXPECT_TRUE(file_result.ok()) << "Open hdfs file failed"; | ||
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| std::shared_ptr<arrow::io::RandomAccessFile> file = file_result.ValueOrDie(); | ||
| std::cout << "file size is " << file->GetSize().ValueOrDie() << std::endl; | ||
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| parquet::ReaderProperties properties; | ||
| // std::shared_ptr<parquet::FileMetaData> metadata; | ||
| std::unique_ptr<parquet::ParquetFileReader> parquetReader = | ||
| parquet::ParquetFileReader::Open(file, properties, NULLPTR); | ||
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| std::shared_ptr<parquet::FileMetaData> fileMetaData = parquetReader->metadata(); | ||
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| int numRows = fileMetaData->num_rows(); | ||
| int numCols = fileMetaData->num_columns(); | ||
| int numRowGroups = fileMetaData->num_row_groups(); | ||
| std::string schema = fileMetaData->schema()->ToString(); | ||
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| std::cout<<"parquet file has "<<numRows<<" rows"<<std::endl | ||
| <<numCols<<" cols"<<std::endl | ||
| <<numRowGroups<<" row groups"<<std::endl; | ||
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| std::cout<<"schema: "<<schema<<std::endl; | ||
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| if(numRowGroups < 1) | ||
| { | ||
| std::cout<<"not enough row groups for test"<<std::endl; | ||
| return; | ||
| } | ||
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| int rowGroupIndex = 0; | ||
| std::unique_ptr<parquet::RowGroupMetaData> urgMataData = fileMetaData->RowGroup(rowGroupIndex); | ||
| std::shared_ptr<parquet::RowGroupMetaData> rgMataData = std::move(urgMataData); | ||
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| //std::vector<std::unique_ptr<parquet::ColumnChunkMetaData>> columnChunkMeta; | ||
| //columnChunkMeta.resize(numCols); | ||
| std::unique_ptr<parquet::ColumnChunkMetaData> columnChunkMeta; | ||
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| for(int i=0; i<numCols; i++) | ||
| { | ||
| columnChunkMeta = rgMataData->ColumnChunk(i); | ||
| std::string column_name = fileMetaData->schema()->Column(i)->name(); | ||
| parquet::Type::type column_type = fileMetaData->schema()->Column(i)->physical_type(); | ||
| std::cout<<"current column["<<i<<"]: "<<column_name | ||
| <<" type "<<column_type | ||
| <<std::endl; | ||
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| std::shared_ptr<parquet::Statistics> statistic = columnChunkMeta->statistics(); | ||
| if(!statistic->HasMinMax()) | ||
| { | ||
| std::cout<<"This column does not have valid min max value."<<std::endl; | ||
| continue; | ||
| } | ||
| switch (column_type) | ||
| { | ||
| case parquet::Type::BOOLEAN:{ | ||
| auto boolStatistic = std::static_pointer_cast<parquet::BoolStatistics>(statistic); | ||
| std::cout<<"min: "<<boolStatistic->min()<<" max: "<<boolStatistic->max()<<std::endl; | ||
| break;} | ||
| case parquet::Type::INT32:{ | ||
| auto int32Statistic = std::static_pointer_cast<parquet::Int32Statistics>(statistic); | ||
| std::cout<<"min: "<<int32Statistic->min()<<" max: "<<int32Statistic->max()<<std::endl; | ||
| break;} | ||
| case parquet::Type::INT64:{ | ||
| auto int64Statistic = std::static_pointer_cast<parquet::Int64Statistics>(statistic); | ||
| std::cout<<"min: "<<int64Statistic->min()<<" max: "<<int64Statistic->max()<<std::endl; | ||
| break;} | ||
| case parquet::Type::FLOAT:{ | ||
| auto floatStatistic = std::static_pointer_cast<parquet::FloatStatistics>(statistic); | ||
| std::cout<<"min: "<<floatStatistic->min()<<" max: "<<floatStatistic->max()<<std::endl; | ||
| break;} | ||
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| default: | ||
| break; | ||
| } | ||
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| } | ||
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| } | ||
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| TEST(predicateFilterTest, predicateTest) { | ||
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| std::string hdfs_host = "clx06-AEP"; | ||
| int hdfs_port = 8020; | ||
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| std::string file_name = | ||
| "/user/hive/warehouse/tpcds_hdfs_parquet_10.db/store_sales/ss_sold_date_sk=2450817/" | ||
| "part-00013-0828d1ab-ef1f-4b55-bf94-c071fb76c353.c000.snappy.parquet"; | ||
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| std::string requiredColumnName = R"( | ||
| { | ||
| "name":"my_schema", | ||
| "fields":[ | ||
| { | ||
| "name":"ss_sold_time_sk", | ||
| "value":true | ||
| }, | ||
| { | ||
| "name":"ss_sold_time_sk", | ||
| "value":true | ||
| } | ||
| ] | ||
| } | ||
| )"; | ||
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| std::string filterJson = R"( | ||
| { | ||
| "FilterTypeName":"and", | ||
| "LeftNode":{ | ||
| "FilterTypeName":"lt", | ||
| "ColumnType":"Integer", | ||
| "ColumnName":"ss_sold_time_sk", | ||
| "Value":"28855" | ||
| }, | ||
| "RightNode":{ | ||
| "FilterTypeName":"gt", | ||
| "ColumnType":"Integer", | ||
| "ColumnName":"ss_item_sk", | ||
| "Value":"3" | ||
| } | ||
| } | ||
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| )"; | ||
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| int firstRowGroup = 0; | ||
| int rowGroupToRead = 1; | ||
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| ape::Reader test_reader; | ||
| test_reader.init(file_name, hdfs_host, hdfs_port,requiredColumnName, firstRowGroup, rowGroupToRead); | ||
| test_reader.setFilter(filterJson); | ||
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| bool res = test_reader.doPredicateFilter(0); | ||
| std::cout<<"predicateFiltere: "<<res<<std::endl; | ||
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| test_reader.close(); | ||
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| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,186 @@ | ||
| // Licensed to the Apache Software Foundation (ASF) under one | ||
| // or more contributor license agreements. See the NOTICE file | ||
| // distributed with this work for additional information | ||
| // regarding copyright ownership. The ASF licenses this file | ||
| // to you under the Apache License, Version 2.0 (the | ||
| // "License"); you may not use this file except in compliance | ||
| // with the License. You may obtain a copy of the License at | ||
| // | ||
| // http://www.apache.org/licenses/LICENSE-2.0 | ||
| // | ||
| // Unless required by applicable law or agreed to in writing, | ||
| // software distributed under the License is distributed on an | ||
| // "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | ||
| // KIND, either express or implied. See the License for the | ||
| // specific language governing permissions and limitations | ||
| // under the License. | ||
|
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| #pragma once | ||
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| #include <parquet/types.h> | ||
| #include <parquet/api/reader.h> | ||
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| #include "src/utils/Expression.h" | ||
| #include "src/utils/Type.h" | ||
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| namespace ape { | ||
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| class PredicateExpression : public Expression { | ||
| public: | ||
| explicit PredicateExpression(std::string type_); | ||
| virtual void Execute() {} | ||
| int ExecuteWithParam(int batchSize, const std::vector<int64_t>& dataBuffers, | ||
| const std::vector<int64_t>& nullBuffers, | ||
| std::vector<int8_t>& outBuffers) { | ||
| return 0; | ||
| } | ||
| void setSchema(std::shared_ptr<std::vector<Schema>> schema_) {} | ||
| virtual int PredicateWithParam(int8_t& out) = 0; | ||
| virtual void setStatistic(std::shared_ptr<parquet::RowGroupMetaData> rgMataData_) = 0; | ||
| ~PredicateExpression(); | ||
| }; | ||
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| class RootPredicateExpression : public PredicateExpression { | ||
| public: | ||
| RootPredicateExpression(std::string type_, std::shared_ptr<PredicateExpression> child_); | ||
| void Execute() {} | ||
| int PredicateWithParam(int8_t& out); | ||
| ~RootPredicateExpression(); | ||
| void setStatistic(std::shared_ptr<parquet::RowGroupMetaData> rgMataData_){ | ||
| child->setStatistic(rgMataData_); | ||
| } | ||
| void setSchema(std::shared_ptr<std::vector<Schema>> schema_) { | ||
| schema = schema_; | ||
| child->setSchema(schema); | ||
| } | ||
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| private: | ||
| std::shared_ptr<PredicateExpression> child; | ||
| }; | ||
|
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| class NotPredicateExpression : public PredicateExpression { | ||
| public: | ||
| NotPredicateExpression(std::string type_, std::shared_ptr<PredicateExpression> child_); | ||
| void Execute() {} | ||
| int PredicateWithParam(int8_t& out); | ||
| void setStatistic(std::shared_ptr<parquet::RowGroupMetaData> rgMataData_){ | ||
| child->setStatistic(rgMataData_); | ||
| } | ||
| ~NotPredicateExpression(); | ||
| void setSchema(std::shared_ptr<std::vector<Schema>> schema_) { | ||
| schema = schema_; | ||
| child->setSchema(schema); | ||
| } | ||
| std::shared_ptr<PredicateExpression> getChild() { return child; } | ||
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| private: | ||
| std::shared_ptr<PredicateExpression> child; | ||
| }; | ||
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| class BinaryPredicateExpression : public PredicateExpression { | ||
| public: | ||
| BinaryPredicateExpression(std::string type_, std::shared_ptr<PredicateExpression> left_, | ||
| std::shared_ptr<PredicateExpression> right_); | ||
| void Execute() {} | ||
| int PredicateWithParam(int8_t& out); | ||
| ~BinaryPredicateExpression(); | ||
| void setSchema(std::shared_ptr<std::vector<Schema>> schema_) { | ||
| schema = schema_; | ||
| left->setSchema(schema); | ||
| right->setSchema(schema); | ||
| } | ||
| void setStatistic(std::shared_ptr<parquet::RowGroupMetaData> rgMataData_){ | ||
| left->setStatistic(rgMataData_); | ||
| right->setStatistic(rgMataData_); | ||
| } | ||
| std::shared_ptr<PredicateExpression> getLeftChild() { return left; } | ||
| std::shared_ptr<PredicateExpression> getRightChild() { return right; } | ||
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| private: | ||
| std::shared_ptr<PredicateExpression> left; | ||
| std::shared_ptr<PredicateExpression> right; | ||
| std::string opType; | ||
| }; | ||
|
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| class UnaryPredicateExpression : public PredicateExpression { | ||
| public: | ||
| UnaryPredicateExpression(std::string type_, std::string columnName_) | ||
| : PredicateExpression(type_) { | ||
| columnName = columnName_; | ||
| } | ||
| ~UnaryPredicateExpression() {} | ||
| std::string getColumnName(); | ||
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| protected: | ||
| std::string columnName; | ||
| }; | ||
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| template <typename T> | ||
| class TypedUnaryPredicateExpression : public UnaryPredicateExpression { | ||
| public: | ||
| TypedUnaryPredicateExpression(std::string type_, std::string columnName_, T value_); | ||
| void Execute() {} | ||
| int PredicateWithParam(int8_t& out); | ||
| ~TypedUnaryPredicateExpression(); | ||
| void setSchema(std::shared_ptr<std::vector<Schema>> schema_); | ||
| void setStatistic(std::shared_ptr<parquet::RowGroupMetaData> rgMataData_); | ||
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| private: | ||
| std::string compareType; | ||
| T value; | ||
| T minVal; | ||
| T maxVal; | ||
| bool hasMinMax; | ||
| int columnIndex; | ||
| }; | ||
|
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| class StringPredicateExpression : public UnaryPredicateExpression { | ||
| public: | ||
| StringPredicateExpression(std::string type_, std::string columnName_, std::string value_); | ||
| ~StringPredicateExpression() {} | ||
| void setSchema(std::shared_ptr<std::vector<Schema>> schema_); | ||
| void setStatistic(std::shared_ptr<parquet::RowGroupMetaData> rgMataData_) {} | ||
| int PredicateWithParam(int8_t& out) = 0; | ||
| std::string getColumnName(); | ||
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| protected: | ||
| std::string type; | ||
| std::string value; | ||
| int columnIndex; | ||
| }; | ||
|
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| class StartWithPredicateExpression : public StringPredicateExpression { | ||
| public: | ||
| StartWithPredicateExpression(std::string type_, std::string columnName_, | ||
| std::string value_) | ||
| : StringPredicateExpression(type_, columnName_, value_) {} | ||
| int PredicateWithParam(int8_t& out); | ||
| ~StartWithPredicateExpression() {} | ||
| }; | ||
|
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| class EndWithPredicateExpression : public StringPredicateExpression { | ||
| public: | ||
| EndWithPredicateExpression(std::string type_, std::string columnName_, std::string value_) | ||
| : StringPredicateExpression(type_, columnName_, value_) {} | ||
| int PredicateWithParam(int8_t& out); | ||
| ~EndWithPredicateExpression() {} | ||
| }; | ||
|
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| class ContainsPredicateExpression : public StringPredicateExpression { | ||
| public: | ||
| ContainsPredicateExpression(std::string type_, std::string columnName_, std::string value_) | ||
| : StringPredicateExpression(type_, columnName_, value_) {} | ||
| int PredicateWithParam(int8_t& out); | ||
| ~ContainsPredicateExpression() {} | ||
| }; | ||
|
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| using BoolUnaryPredicateExpression = TypedUnaryPredicateExpression<bool>; | ||
| using Int32UnaryPredicateExpression = TypedUnaryPredicateExpression<int32_t>; | ||
| using Int64UnaryPredicateExpression = TypedUnaryPredicateExpression<int64_t>; | ||
| // using Int96UnaryPredicateExpression = TypedUnaryExpression<int96_t>; | ||
| using FloatUnaryPredicateExpression = TypedUnaryPredicateExpression<float>; | ||
| using DoubleUnaryPredicateExpression = TypedUnaryPredicateExpression<double>; | ||
| using NullUnaryPredicateExpression = TypedUnaryPredicateExpression<NullStruct>; | ||
| using ByteArrayUnaryPredicateExpression = TypedUnaryPredicateExpression<parquet::ByteArray>; | ||
|
|
||
| } // namespace ape |
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I think we should not change
-Pshading, any comments @ZJie1There was a problem hiding this comment.
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yes, we should not change it. This is for the packing native to the ape spark jar and ape-server also use this.
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But I cannot compile successfully if I use the -Pshading command.
Here is the error
[ERROR] Failed to execute goal org.apache.maven.plugins:maven-shade-plugin:3.2.4:shade (default) on project ape-server: Error creating shaded jar: Could not resolve following dependencies: [com.intel.oap:ape-flink-common:jar:1.1.0-SNAPSHOT (compile), com.intel.oap:ape-client:jar:1.1.0-SNAPSHOT (compile), com.intel.oap:ape-hcfs:jar:1.1.0-SNAPSHOT (compile)]: Could not resolve dependencies for project com.intel.oap:ape-flink-1.13.2:jar:1.1.0-SNAPSHOT: The following artifacts could not be resolved: com.intel.oap:ape-flink-common:jar:1.1.0-SNAPSHOT, com.intel.oap:ape-client:jar:1.1.0-SNAPSHOT, com.intel.oap:ape-hcfs:jar:1.1.0-SNAPSHOT: Could not find artifact com.intel.oap:ape-flink-common:jar:1.1.0-SNAPSHOT -> [Help 1]