/*
 * 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.pig;

import java.io.IOException;

import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.OutputFormat;
import org.apache.hadoop.mapreduce.RecordWriter;
import org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigHadoopLogger;
import org.apache.pig.classification.InterfaceAudience;
import org.apache.pig.classification.InterfaceStability;
import org.apache.pig.data.Tuple;
import org.apache.pig.impl.util.UDFContext;


/**
* StoreFuncs take records from Pig's processing and store them into a data store.  Most frequently
* this is an HDFS file, but it could also be an HBase instance, RDBMS, etc.
*/
@InterfaceAudience.Public
@InterfaceStability.Stable
public abstract class StoreFunc implements StoreFuncInterface {

    /**
     * This method is called by the Pig runtime in the front end to convert the
     * output location to an absolute path if the location is relative. The
     * StoreFunc implementation is free to choose how it converts a relative
     * location to an absolute location since this may depend on what the location
     * string represent (hdfs path or some other data source).
     *
     *
     * @param location location as provided in the "store" statement of the script
     * @param curDir the current working direction based on any "cd" statements
     * in the script before the "store" statement. If there are no "cd" statements
     * in the script, this would be the home directory -
     * <pre>/user/<username> </pre>
     * @return the absolute location based on the arguments passed
     * @throws IOException if the conversion is not possible
     */
    @Override
    public String relToAbsPathForStoreLocation(String location, Path curDir)
    throws IOException {
        return LoadFunc.getAbsolutePath(location, curDir);
    }

    /**
     * Return the OutputFormat associated with StoreFunc.  This will be called
     * on the front end during planning and on the backend during
     * execution.
     * @return the {@link OutputFormat} associated with StoreFunc
     * @throws IOException if an exception occurs while constructing the
     * OutputFormat
     *
     */
    @Override
    public abstract OutputFormat getOutputFormat() throws IOException;

    /**
     * Communicate to the storer the location where the data needs to be stored.
     * The location string passed to the {@link StoreFunc} here is the
     * return value of {@link StoreFunc#relToAbsPathForStoreLocation(String, Path)}
     * This method will be called in the frontend and backend multiple times. Implementations
     * should bear in mind that this method is called multiple times and should
     * ensure there are no inconsistent side effects due to the multiple calls.
     * {@link #checkSchema(ResourceSchema)} will be called before any call to
     * {@link #setStoreLocation(String, Job)}.
     *

     * @param location Location returned by
     * {@link StoreFunc#relToAbsPathForStoreLocation(String, Path)}
     * @param job The {@link Job} object
     * @throws IOException if the location is not valid.
     */
    @Override
    public abstract void setStoreLocation(String location, Job job) throws IOException;

    /**
     * Set the schema for data to be stored.  This will be called on the
     * front end during planning if the store is associated with a schema.
     * A Store function should implement this function to
     * check that a given schema is acceptable to it.  For example, it
     * can check that the correct partition keys are included;
     * a storage function to be written directly to an OutputFormat can
     * make sure the schema will translate in a well defined way.  Default implementation
     * is a no-op.
     * @param s to be checked
     * @throws IOException if this schema is not acceptable.  It should include
     * a detailed error message indicating what is wrong with the schema.
     */
    @Override
    public void checkSchema(ResourceSchema s) throws IOException {
        // default implementation is a no-op
    }

    /**
     * Initialize StoreFunc to write data.  This will be called during
     * execution on the backend before the call to putNext.
     * @param writer RecordWriter to use.
     * @throws IOException if an exception occurs during initialization
     */
    @Override
    public abstract void prepareToWrite(RecordWriter writer) throws IOException;

    /**
     * Write a tuple to the data store.
     *
     * @param t the tuple to store.
     * @throws IOException if an exception occurs during the write
     */
    @Override
    public abstract void putNext(Tuple t) throws IOException;

    /**
     * This method will be called by Pig both in the front end and back end to
     * pass a unique signature to the {@link StoreFunc} which it can use to store
     * information in the {@link UDFContext} which it needs to store between
     * various method invocations in the front end and back end. This method
     * will be called before other methods in {@link StoreFunc}.  This is necessary
     * because in a Pig Latin script with multiple stores, the different
     * instances of store functions need to be able to find their (and only their)
     * data in the UDFContext object.  The default implementation is a no-op.
     * @param signature a unique signature to identify this StoreFunc
     */
    @Override
    public void setStoreFuncUDFContextSignature(String signature) {
        // default implementation is a no-op
    }

    /**
     * This method will be called by Pig if the job which contains this store
     * fails. Implementations can clean up output locations in this method to
     * ensure that no incorrect/incomplete results are left in the output location.
     * The default implementation  deletes the output location if it
     * is a {@link FileSystem} location.
     * @param location Location returned by
     * {@link StoreFunc#relToAbsPathForStoreLocation(String, Path)}
     * @param job The {@link Job} object - this should be used only to obtain
     * cluster properties through {@link Job#getConfiguration()} and not to set/query
     * any runtime job information.
     */
    @Override
    public void cleanupOnFailure(String location, Job job)
    throws IOException {
        cleanupOnFailureImpl(location, job);
    }

    /**
     * This method will be called by Pig if the job which contains this store
     * is successful, and some cleanup of intermediate resources is required.
     * Implementations can clean up output locations in this method to
     * ensure that no incorrect/incomplete results are left in the output location.
     * @param location Location returned by
     * {@link StoreFunc#relToAbsPathForStoreLocation(String, Path)}
     * @param job The {@link Job} object - this should be used only to obtain
     * cluster properties through {@link Job#getConfiguration()} and not to set/query
     * any runtime job information.
     */
    @Override
    public void cleanupOnSuccess(String location, Job job)
    throws IOException {
        // DEFAULT: DO NOTHING, user-defined overrides can
        // call cleanupOnFailureImpl(location, job) or ...?
    }

    /**
     * Default implementation for {@link #cleanupOnFailure(String, Job)}
     * and {@link #cleanupOnSuccess(String, Job)}.  This removes a file
     * from HDFS.
     * @param location file name (or URI) of file to remove
     * @param job Hadoop job, used to access the appropriate file system.
     * @throws IOException
     */
    public static void cleanupOnFailureImpl(String location, Job job)
    throws IOException {
        Path path = new Path(location);
        FileSystem fs = path.getFileSystem(job.getConfiguration());
        if(fs.exists(path)){
            fs.delete(path, true);
        }
    }

    // TODO When dropping support for JDK 7 move this as a default method to StoreFuncInterface
    /**
     * DAG execution engines like Tez support optimizing union by writing to
     * output location in parallel from tasks of different vertices. Commit is
     * called once all the vertices in the union are complete. This eliminates
     * need to have a separate phase to read data output from previous phases,
     * union them and write out again.
     *
     * Enabling the union optimization requires the OutputFormat to
     *
     *      1) Support creation of different part file names for tasks of different
     * vertices. Conflicting filenames can create data corruption and loss.
     * For eg: If task 0 of vertex1 and vertex2 both create filename as
     * part-r-00000, then one of the files will be overwritten when promoting
     * from temporary to final location leading to data loss.
     *      FileOutputFormat has mapreduce.output.basename config which enables
     *  naming files differently in different vertices. Classes extending
     *  FileOutputFormat and those prefixing file names with mapreduce.output.basename
     *  value will not encounter conflict. Cases like HBaseStorage which write to key
     *  value store and do not produce files also should not face any conflict.
     *
     *      2) Support calling of commit once at the end takes care of promoting
     * temporary files of the different vertices into the final location.
     * For eg: FileOutputFormat commit algorithm handles promoting of files produced
     * by tasks of different vertices into final output location without issues
     * if there is no file name conflict. In cases like HBaseStorage, the
     * TableOutputCommitter does nothing on commit.
     *
     * If custom OutputFormat used by the StoreFunc does not support the above
     * two criteria, then false should be returned. Union optimization will be
     * disabled for the StoreFunc.
     *
     * Default implementation returns null and in that case planner falls back
     * to {@link PigConfiguration.PIG_TEZ_OPT_UNION_SUPPORTED_STOREFUNCS} and
     * {@link PigConfiguration.PIG_TEZ_OPT_UNION_UNSUPPORTED_STOREFUNCS}
     * settings to determine if the StoreFunc supports it.
     */
    public Boolean supportsParallelWriteToStoreLocation() {
        return null;
    }

    /**
     * Issue a warning.  Warning messages are aggregated and reported to
     * the user.
     * @param msg String message of the warning
     * @param warningEnum type of warning
     */
    public final void warn(String msg, Enum warningEnum) {
        PigHadoopLogger.getInstance().warn(this, msg, warningEnum);
    }
}