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// Rationale: our inputs are huge (in the 30+gb range, possibly higher), and
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// the original technique of reading the entire file into a string would not
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// work on most computers (an aciss compute node has 72gb of ram), and we would
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// need alternative methods. Current candidates are:
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// 1. Memory mapping - platform dependent and no experience atm - done ~103k inserts per sec
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// 2. Read in big ram chunks - performance might be affected
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// 3. Capability dependent - the function checks for system memory size then
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// determines which method to use; e.g., input > memory, chunk. input < mem,
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// read entire file into string. (appears to be the most flexible)
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// Boost memory mapped files seem to be the easiest and performant way
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// to insert large files into the db.
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int mm_read_and_insert(const string& filename, sqlite3* db)
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{
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	// create a file mapping from filename in readonly mode
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	bi::file_mapping m_file(filename.c_str(),bi::read_only);
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	// create the mapped region of the entire file in read only mode
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	bi::mapped_region region(m_file,bi::read_only);
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	region.advise(bi::mapped_region::advice_sequential); // inform the OS of our access pattern
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	auto* addr = (char*)region.get_address(); // starting pointer
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	auto size = region.get_size();
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	pip::fastq_parser<const char*> g;
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	if (size > 0) {
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		auto startClock = clock();
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		sqlite3_stmt *stmt;
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		char *sql_error_msg = 0;
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		// const char* insert_rawreads = "INSERT INTO rawreads VALUES (?1,?2,?3,?4,?5,?6,?7,?8,?9,?10,?11,?12,?13);";
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	 	if (sqlite3_prepare_v2(db,sqlite::insert_rawreads,-1,&stmt, NULL) != SQLITE_OK) {
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	  		cout << sqlite3_errmsg(db) << endl;
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			return 0;
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	  	} 
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	 	sqlite3_exec(db, "PRAGMA cache_size=400000;PRAGMA journal_mode=MEMORY;PRAGMA locking_mode=EXCLUSIVE;PRAGMA count_changes=OFF;PRAGMA auto_vacuum=NONE;PRAGMA temp_store = MEMORY;PRAGMA synchronous=OFF;BEGIN EXCLUSIVE TRANSACTION", NULL, NULL, &sql_error_msg);
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		unsigned long long n = 0; // we will be dealing with huge numbers here
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		pip::fastq fq; // a struct
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		pip::fastq fq;
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		pip::fastq_parser<const char*> g; // boost::spirit grammar
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		char const* f(addr); // first iterator/pointer
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		char const* l(f + size); // last iterator/pointer
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		while (parse(f,l,g,fq)) {
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			pack::Pack packed(fq.sequence,fq.quality,1);
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			pack::Pack packed(fq.sequence,fq.quality,1); // packing/compression function
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			// Bind parameters to sequence data
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			sqlite3_bind_text(stmt,1,fq.instrument.c_str(),-1,SQLITE_TRANSIENT);
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			sqlite3_bind_int(stmt,2,fq.run);
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			sqlite3_bind_text(stmt,3,fq.flowcell.c_str(),-1,SQLITE_TRANSIENT);
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			sqlite3_bind_int(stmt,4,fq.lane);
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			sqlite3_bind_int(stmt,5,fq.tile);
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			sqlite3_bind_int(stmt,6,fq.x);
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			sqlite3_bind_int(stmt,7,fq.y);
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			sqlite3_bind_int(stmt,8,fq.pair);
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			sqlite3_bind_int(stmt,9,fq.filter == 'Y' ? 1:0);
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			sqlite3_bind_int(stmt,10,fq.control);
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			sqlite3_bind_text(stmt,11,fq.index.c_str(),-1,SQLITE_TRANSIENT);
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			sqlite3_bind_int(stmt,12,packed.qualityFormat());
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	    		sqlite3_bind_blob(stmt,13,packed.rawData(),fq.sequence.length(),SQLITE_TRANSIENT);
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			sqlite3_step(stmt);
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	   		sqlite3_reset(stmt);
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			++n;
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			fq = {};
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			// Show an update every 100k inserts
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			if (n % 100000 == 0)
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				cerr << "Inserted " << n << " sequences...\r";
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		}
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	 	sqlite3_exec(db, "COMMIT TRANSACTION", NULL, NULL, &sql_error_msg);
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		sqlite3_finalize(stmt);
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		auto endClock = clock() - startClock;
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		printf("Pip: %llu sequences imported in %4.2f seconds\n",n,endClock/(double)CLOCKS_PER_SEC);
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		return n; // return number of rows inserted
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	}
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	return 0;
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}