{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "dbf4ed04",
   "metadata": {},
   "source": [
    "# Work with Measurement Data\n",
    "\n",
    "In this example Notebook, we show you how to use the *Peak ODS Adapter for Apache Spark* to interact with ODS data using Spark SQL and DataFrames.\n",
    "\n",
    "The first section is on configuring the Spark framework and the *Peak ODS Adapter for Apache Spark*. The fun starts with \"Work with Measurement Data\".\n",
    "\n",
    "Happy sparking!\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "044c0c76",
   "metadata": {},
   "source": [
    "## Initialize Spark\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dbca34ba",
   "metadata": {},
   "source": [
    "### Configure Spark\n",
    "\n",
    "Initialize the Spark context and configure it for using the *Peak ODS Adapter for Apache Spark* as plugin. \n",
    "\n",
    "In this example we create and connect to a local Spark Master.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "naughty-grenada",
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyspark import SparkConf\n",
    "from pyspark.sql import SparkSession\n",
    "\n",
    "conf = SparkConf().set(\"spark.jars\", \"/target/spark-ods.jar\")\n",
    "conf.set(\"spark.sql.repl.eagerEval.enabled\",True)\n",
    "\n",
    "\n",
    "spark = SparkSession.builder.master('local[*]').config(conf = conf).getOrCreate() # or 'spark://spark-master:7077'\n",
    "sc = spark.sparkContext"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "pursuant-natural",
   "metadata": {},
   "source": [
    "### Initialize the Peak ODS Adapter for Apache Spark. \n",
    "\n",
    "To work with the *Peak ODS Adapter for Apache Spark*, you need to define the connection information `conInfo` to the *Peak ODS Server* together with the location of the bulk data files on disc.\n",
    "\n",
    "The connection information is then passed to the `connectionManager` to establish the ODS connection. This `odsConnection` has to be provided in all Spark ODS operations.\n",
    "\n",
    "> You have to add an override to the ODS MULTI_VOLUME symbol `DISC1` to access the bulk data files in the Spark environment. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "functioning-apollo",
   "metadata": {},
   "outputs": [],
   "source": [
    "conInfo = {\n",
    "    \"url\": \"http://nvhdemo:8080/api/\",\n",
    "    \"user\": \"sa\",\n",
    "    \"password\": \"sa\",\n",
    "    \"override.symbol.DISC1\": \"file:///data/NVH/\"\n",
    "}\n",
    "\n",
    "connectionManager = sc._jvm.com.peaksolution.sparkods.ods.ConnectionManager.instance\n",
    "odsConnection = connectionManager.createODSConnection(conInfo)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "da959089",
   "metadata": {},
   "source": [
    "## Work with Measurement Data\n",
    "\n",
    "In the previous chapter you've learned how to work with instance data, now let's have a look at the actual measurement data.\n",
    "You use `format(\"ods\")` to load measurement data.\n",
    "\n",
    " In our example we're looking for a measurement with a specific \"Id\" - you may want to try more fancy queries..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b60d4e2a",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = spark.read.format(\"ods\").options(**odsConnection).load(\"where MeaResult.Id = 3\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7976ac0c",
   "metadata": {},
   "source": [
    "You can now look at the first 10 rows..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "99e5cb87",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border='1'>\n",
       "<tr><th>idref</th><th>channel01</th><th>channel02</th><th>channel03</th><th>channel04</th><th>channel05</th><th>channel06</th><th>channel07</th><th>channel08</th><th>channel09</th><th>channel10</th><th>x-axis</th></tr>\n",
       "<tr><td>NVHDEMO_SubMatrix_3</td><td>4.38541E-6</td><td>2.02778</td><td>-4.44111</td><td>-4.51025</td><td>1.86265E-6</td><td>-1.74623E-7</td><td>-0.192593</td><td>0.770431</td><td>-0.579521</td><td>0.371926</td><td>1</td></tr>\n",
       "<tr><td>NVHDEMO_SubMatrix_3</td><td>4.38541E-6</td><td>2.02778</td><td>-2.03551</td><td>-4.51025</td><td>1.86265E-6</td><td>-1.74623E-7</td><td>-0.192593</td><td>0.770431</td><td>-0.579521</td><td>0.371926</td><td>2</td></tr>\n",
       "<tr><td>NVHDEMO_SubMatrix_3</td><td>4.38541E-6</td><td>2.02778</td><td>-4.44111</td><td>-4.51025</td><td>-6.52153</td><td>-1.74623E-7</td><td>-0.192593</td><td>0.770431</td><td>-0.579521</td><td>0.371926</td><td>3</td></tr>\n",
       "<tr><td>NVHDEMO_SubMatrix_3</td><td>2.40175</td><td>2.02778</td><td>-4.44111</td><td>2.00455</td><td>-6.52153</td><td>-1.74623E-7</td><td>-0.192593</td><td>0.770431</td><td>-0.579521</td><td>0.371926</td><td>4</td></tr>\n",
       "<tr><td>NVHDEMO_SubMatrix_3</td><td>4.38541E-6</td><td>-0.368683</td><td>-4.44111</td><td>2.00455</td><td>-6.52153</td><td>-1.74623E-7</td><td>-0.192593</td><td>0.770431</td><td>-0.579521</td><td>0.371926</td><td>5</td></tr>\n",
       "<tr><td>NVHDEMO_SubMatrix_3</td><td>4.38541E-6</td><td>-0.368683</td><td>-2.03551</td><td>-4.51025</td><td>1.86265E-6</td><td>-1.74623E-7</td><td>-0.192593</td><td>0.770431</td><td>-0.579521</td><td>0.371926</td><td>6</td></tr>\n",
       "<tr><td>NVHDEMO_SubMatrix_3</td><td>2.40175</td><td>2.02778</td><td>-4.44111</td><td>-4.51025</td><td>-6.52153</td><td>-1.74623E-7</td><td>-0.192593</td><td>0.770431</td><td>-0.579521</td><td>0.371926</td><td>7</td></tr>\n",
       "<tr><td>NVHDEMO_SubMatrix_3</td><td>4.38541E-6</td><td>-0.368683</td><td>-2.03551</td><td>-4.51025</td><td>1.86265E-6</td><td>-1.74623E-7</td><td>-0.192593</td><td>0.770431</td><td>-0.579521</td><td>0.371926</td><td>8</td></tr>\n",
       "<tr><td>NVHDEMO_SubMatrix_3</td><td>4.38541E-6</td><td>2.02778</td><td>-4.44111</td><td>-4.51025</td><td>-6.52153</td><td>-5.43436</td><td>-0.192593</td><td>0.577823</td><td>-0.579521</td><td>0.371926</td><td>9</td></tr>\n",
       "<tr><td>NVHDEMO_SubMatrix_3</td><td>4.38541E-6</td><td>2.02778</td><td>-2.03551</td><td>-4.51025</td><td>1.86265E-6</td><td>-1.74623E-7</td><td>-0.192593</td><td>0.770431</td><td>-0.579521</td><td>0.371926</td><td>10</td></tr>\n",
       "</table>\n"
      ],
      "text/plain": [
       "+-------------------+----------+---------+---------+---------+----------+-----------+---------+---------+---------+---------+------+\n",
       "|              idref| channel01|channel02|channel03|channel04| channel05|  channel06|channel07|channel08|channel09|channel10|x-axis|\n",
       "+-------------------+----------+---------+---------+---------+----------+-----------+---------+---------+---------+---------+------+\n",
       "|NVHDEMO_SubMatrix_3|4.38541E-6|  2.02778| -4.44111| -4.51025|1.86265E-6|-1.74623E-7|-0.192593| 0.770431|-0.579521| 0.371926|     1|\n",
       "|NVHDEMO_SubMatrix_3|4.38541E-6|  2.02778| -2.03551| -4.51025|1.86265E-6|-1.74623E-7|-0.192593| 0.770431|-0.579521| 0.371926|     2|\n",
       "|NVHDEMO_SubMatrix_3|4.38541E-6|  2.02778| -4.44111| -4.51025|  -6.52153|-1.74623E-7|-0.192593| 0.770431|-0.579521| 0.371926|     3|\n",
       "|NVHDEMO_SubMatrix_3|   2.40175|  2.02778| -4.44111|  2.00455|  -6.52153|-1.74623E-7|-0.192593| 0.770431|-0.579521| 0.371926|     4|\n",
       "|NVHDEMO_SubMatrix_3|4.38541E-6|-0.368683| -4.44111|  2.00455|  -6.52153|-1.74623E-7|-0.192593| 0.770431|-0.579521| 0.371926|     5|\n",
       "|NVHDEMO_SubMatrix_3|4.38541E-6|-0.368683| -2.03551| -4.51025|1.86265E-6|-1.74623E-7|-0.192593| 0.770431|-0.579521| 0.371926|     6|\n",
       "|NVHDEMO_SubMatrix_3|   2.40175|  2.02778| -4.44111| -4.51025|  -6.52153|-1.74623E-7|-0.192593| 0.770431|-0.579521| 0.371926|     7|\n",
       "|NVHDEMO_SubMatrix_3|4.38541E-6|-0.368683| -2.03551| -4.51025|1.86265E-6|-1.74623E-7|-0.192593| 0.770431|-0.579521| 0.371926|     8|\n",
       "|NVHDEMO_SubMatrix_3|4.38541E-6|  2.02778| -4.44111| -4.51025|  -6.52153|   -5.43436|-0.192593| 0.577823|-0.579521| 0.371926|     9|\n",
       "|NVHDEMO_SubMatrix_3|4.38541E-6|  2.02778| -2.03551| -4.51025|1.86265E-6|-1.74623E-7|-0.192593| 0.770431|-0.579521| 0.371926|    10|\n",
       "+-------------------+----------+---------+---------+---------+----------+-----------+---------+---------+---------+---------+------+"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.limit(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5c991195",
   "metadata": {},
   "source": [
    "... or plot them in a line chart ..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "nonprofit-slovak",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import pyspark\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.rcParams[\"figure.figsize\"] = (20,10)\n",
    "pdf = df.toPandas().groupby([\"idref\", \"x-axis\"], group_keys=True).sum()\n",
    "pdf.loc['NVHDEMO_SubMatrix_3'].plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6e1a705",
   "metadata": {},
   "source": [
    "Now that your measurement data is in a pandas.DataFrame, you can also use all options using pandas.\n",
    "\n",
    "Have fun."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "08e290cd",
   "metadata": {},
   "source": [
    "## Close the SparkContext\n",
    "It is a good practice to close the SparkContext when you’re done with it.\n",
    "\n",
    "This will ensure that all Spark-related operations are properly terminated before your program exits.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9aa044c6",
   "metadata": {},
   "outputs": [],
   "source": [
    "sc.stop()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1dacbb1b",
   "metadata": {},
   "source": [
    "## License\n",
    "\n",
    "Copyright © 2025 [Peak Solution GmbH](https://peak-solution.de)\n",
    "\n",
    "The training material in this repository is licensed under a Creative Commons BY-NC-SA 4.0 license. See [LICENSE](../LICENSE) file for more information."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}