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Added Spark accumulators snippets.
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@ -1,7 +1,7 @@
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{
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"metadata": {
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"name": "",
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"signature": "sha256:cf2651f340403267ecf82871c01a4f9deb80df25b8345be4f56dc02db970a5a7"
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"signature": "sha256:f13a3255902ddadfe3c0b99e722529cfe44804d81633f80f0f7681afcf3acb8a"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
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@ -26,7 +26,8 @@
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"* Configuring Spark Applications\n",
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"* Streaming\n",
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"* Streaming with States\n",
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"* Broadcast Variables"
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"* Broadcast Variables\n",
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"* Accumulators"
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]
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},
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{
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@ -1143,6 +1144,82 @@
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"language": "python",
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"metadata": {},
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"outputs": []
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Accumulators"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Create an accumulator:"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"txt_count = sc.accumulator(0)"
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],
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"language": "python",
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"metadata": {},
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"outputs": []
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Count the number of txt files in the RDD:"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"my_data = sc.textFile(filePath)\n",
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"my_data.foreach(lambda line: if '.txt' in line: txt_count.add(1))"
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],
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"language": "python",
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"metadata": {},
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"outputs": []
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Count the number of file types encountered:"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"jpg_count = sc.accumulator(0)\n",
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"html_count = sc.accumulator(0)\n",
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"css_count = sc.accumulator(0)\n",
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"\n",
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"def countFileType(s):\n",
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" if '.jpg' in s: jpg_count.add(1)\n",
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" elif '.html' in s: html_count.add(1)\n",
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" elif '.css' in s: css_count.add(1)\n",
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"\n",
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"filename=\"hdfs://logs/*\"\n",
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"\n",
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"logs = sc.textFile(filename)\n",
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"logs.foreach(lambda line: countFileType(line))\n",
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"\n",
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"print 'File Type Totals:'\n",
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"print '.css files: ', css_count.value\n",
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"print '.html files: ', html_count.value\n",
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"print '.jpg files: ', jpg_count.value"
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],
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"language": "python",
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"metadata": {},
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"outputs": []
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}
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],
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"metadata": {}
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