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/*
 * 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.zeppelin.python;

import org.apache.zeppelin.interpreter.Interpreter;
import org.apache.zeppelin.interpreter.InterpreterContext;
import org.apache.zeppelin.interpreter.InterpreterException;
import org.apache.zeppelin.interpreter.InterpreterResult;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.io.IOException;
import java.util.Properties;

/**
 * SQL over Pandas DataFrame interpreter for %python group
 * 

* Match experience of %spark.sql over Spark DataFrame */ public class PythonInterpreterPandasSql extends Interpreter { private static final Logger LOGGER = LoggerFactory.getLogger(PythonInterpreterPandasSql.class); private static String SQL_BOOTSTRAP_FILE_PY = "python/bootstrap_sql.py"; private PythonInterpreter pythonInterpreter; public PythonInterpreterPandasSql(Properties property) { super(property); } @Override public void open() throws InterpreterException { LOGGER.info("Open Python SQL interpreter instance: PythonInterpreterPandasSql"); try { LOGGER.info("Bootstrap PythonInterpreterPandasSql interpreter with {}", SQL_BOOTSTRAP_FILE_PY); this.pythonInterpreter = getInterpreterInTheSameSessionByClassName(PythonInterpreter.class); this.pythonInterpreter.bootstrapInterpreter(SQL_BOOTSTRAP_FILE_PY); } catch (IOException e) { LOGGER.error("Can't execute " + SQL_BOOTSTRAP_FILE_PY + " to import SQL dependencies", e); } } @Override public void close() throws InterpreterException { LOGGER.info("Close Python SQL interpreter instance: {}", this.toString()); if (pythonInterpreter != null) { pythonInterpreter.close(); } } @Override public InterpreterResult interpret(String st, InterpreterContext context) throws InterpreterException { LOGGER.info("Running SQL query: '{}' over Pandas DataFrame", st); return pythonInterpreter.interpret( "z.show(pysqldf('" + st.trim() + "'))", context); } @Override public void cancel(InterpreterContext context) throws InterpreterException { pythonInterpreter.cancel(context); } @Override public FormType getFormType() { return FormType.SIMPLE; } @Override public int getProgress(InterpreterContext context) throws InterpreterException { return pythonInterpreter.getProgress(context); } }





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