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insert as normal record
Before inserting, the table where records target to must have create the searchable columns by interface addSearchable(data_type, column_name). Currently, LunarBase supports data types including string, integer, float.
String db_root = "/home/feiben/DBTest/RTSeventhDB";
DBTaskCenter tc = new DBTaskCenter(db_root);
String table = "order";
if(!tc.getActiveDB().hasTable(table))
{
tc.getActiveDB().createTable(table);
tc.getActiveDB().openTable(table);
}
LunarTable l_table = tc.getActiveDB().getTable(table);
l_table.addSearchable("string", "name");
l_table.addSearchable("int", "payment");
l_table.addSearchable("int", "age");
/*
* Step 1: construct an object of a records array
*/
String[] records = new String[6];
records[0] = "{name=jackson8, payment=500, age=36}";
records[1] = "{name=jackson9, payment=500, age=25}";
records[2] = "{name=John8, payment=600, age=36}";
records[3] = "{name=Rafael8, payment=600, age=36}";
records[4] = "{name=Rafael9, payment=700, age=25}";
records[5] = "{name=John9, payment=700, age=36}";
/*
* Step2: dispatch it. LunarBase engine handles it.
*/
LFuture<Record32KBytes[]> inserted = tc.dispatch(new IncommingRecords(table, records));
tc.saveDB();
/*
* check if all the records inserted correctly.
* If one fails, its rec_id is -1;
*/
Record32KBytes[] all_recs = inserted.get();
for(int i=0; i < all_recs.length; i++)
{
if(all_recs[i].getID() == -1)
System.out.println(i + "-th records in the input array fails inserting");
}
/*
* Step 3: Test query, see if they are correctly inserted,
* and if property-value pair can be retrieved.
*/
QuerySimple sq = new QuerySimple(table, "age", "36", 200);
tc.dispatch(sq);
/*
* Step 4: Must not forget to shut down the db.
*/
tc.shutdownDB();
1 Home
1.1 summary
1.2 System Preparation
1.3 When LunarBase is your best choice
1.4 Benchmark
1.5 Power consumption
2 Data Model And Process
2.1 Why internal big cache
2.2 Memory Management: LunarMMU
2.3 Garbage Collection
2.4 Transaction Log
2.5 JOIN via materialized view
3 Real Time Computation: LunarMax
3.1 In-Memory File System: Memory Estimation
3.2 Configuration
3.3 Use SSD as a cheaper memory
3.4 Data Safety
3.5 HE Server VS. Cluster
3.6 High Availability
4 Create a database
4.1 Three modes
4.2 creation.conf settings
4.3 Table space
4.4 Multiple Instance
4.5 Database Status
4.6 Remove and Restore a table
5 Insertion
5.1 Insert as normal record
5.2 Insert to search engine
6 Query
6.1 Point Query
6.2 Result Handler: register your own event handler
6.3 Interpreter Pattern: complex query conditions
6.4 Range Query
6.5 Full-text Search
6.6 Algebraic Logical Query
8 Deletion
9 Materialized view
9.1 Eventual consistency
9.2 Update
9.3 MVCC in LunarBase
9.4 Easy JOIN via denormalization
9.5 CRUD in view
10 Distributed integration with
10.1 Kafka
10.2 Storm
10.3 Spark
11 Storage: Lunar Virtual File System
13 Roadmap of LunarBase future
15 FAQ