/**
 * 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.
 */

package org.apache.hcatalog.mapreduce;

import java.io.IOException;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

import org.apache.hadoop.hive.metastore.api.FieldSchema;
import org.apache.hadoop.hive.serde.Constants;
import org.apache.hcatalog.common.ErrorType;
import org.apache.hcatalog.common.HCatException;
import org.apache.hcatalog.data.DefaultHCatRecord;
import org.apache.hcatalog.data.HCatRecord;
import org.apache.hcatalog.data.schema.HCatFieldSchema;
import org.apache.hcatalog.data.schema.HCatSchemaUtils;

public class TestHCatNonPartitioned extends HCatMapReduceTest {

    private List<HCatRecord> writeRecords;
    List<HCatFieldSchema> partitionColumns;

    @Override
    protected void initialize() throws HCatException {

        dbName = null; //test if null dbName works ("default" is used)
        tableName = "testHCatNonPartitionedTable";

        writeRecords = new ArrayList<HCatRecord>();

        for (int i = 0; i < 20; i++) {
            List<Object> objList = new ArrayList<Object>();

            objList.add(i);
            objList.add("strvalue" + i);
            writeRecords.add(new DefaultHCatRecord(objList));
        }

        partitionColumns = new ArrayList<HCatFieldSchema>();
        partitionColumns.add(HCatSchemaUtils.getHCatFieldSchema(new FieldSchema("c1", Constants.INT_TYPE_NAME, "")));
        partitionColumns.add(HCatSchemaUtils.getHCatFieldSchema(new FieldSchema("c2", Constants.STRING_TYPE_NAME, "")));
    }

    @Override
    protected List<FieldSchema> getPartitionKeys() {
        List<FieldSchema> fields = new ArrayList<FieldSchema>();
        //empty list, non partitioned
        return fields;
    }

    @Override
    protected List<FieldSchema> getTableColumns() {
        List<FieldSchema> fields = new ArrayList<FieldSchema>();
        fields.add(new FieldSchema("c1", Constants.INT_TYPE_NAME, ""));
        fields.add(new FieldSchema("c2", Constants.STRING_TYPE_NAME, ""));
        return fields;
    }


    public void testHCatNonPartitionedTable() throws Exception {

        Map<String, String> partitionMap = new HashMap<String, String>();
        runMRCreate(null, partitionColumns, writeRecords, 10, true);

        //Test for duplicate publish
        IOException exc = null;
        try {
            runMRCreate(null, partitionColumns, writeRecords, 20, true);
        } catch (IOException e) {
            exc = e;
        }

        assertTrue(exc != null);
        assertTrue(exc instanceof HCatException);
        assertEquals(ErrorType.ERROR_NON_EMPTY_TABLE, ((HCatException) exc).getErrorType());

        //Test for publish with invalid partition key name
        exc = null;
        partitionMap.clear();
        partitionMap.put("px", "p1value2");

        try {
            runMRCreate(partitionMap, partitionColumns, writeRecords, 20, true);
        } catch (IOException e) {
            exc = e;
        }

        assertTrue(exc != null);
        assertTrue(exc instanceof HCatException);
        assertEquals(ErrorType.ERROR_INVALID_PARTITION_VALUES, ((HCatException) exc).getErrorType());

        //Read should get 10 rows
        runMRRead(10);

        hiveReadTest();
    }

    //Test that data inserted through hcatoutputformat is readable from hive
    private void hiveReadTest() throws Exception {

        String query = "select * from " + tableName;
        int retCode = driver.run(query).getResponseCode();

        if (retCode != 0) {
            throw new Exception("Error " + retCode + " running query " + query);
        }

        ArrayList<String> res = new ArrayList<String>();
        driver.getResults(res);
        assertEquals(10, res.size());
    }
}