SparkContext
is the main entry point to spark core. It allows us to access further
functionalities of spark. This helps to establish a connection to spark
execution environment. It provides access to spark cluster even with a
resource manager. Sparkcontext act as master of spark application.
It offers various function Such as:
- Getting the current status of spark application
- Canceling the job
- Canceling the Stage
- Running job synchronously
- Running job asynchronously
- Persistent RDD
- Un-persisting RDD
- Programmable dynamic allocation
Spark Session also includes all the APIs available in different contexts-
val sparkConf = new SparkConf().setAppName("SparkSessionExample").setMaster("local")
// your handle to SparkContext to access other context like SQLContext
val sc = new SparkContext(sparkConf).set("spark.some.config.option", "some-value")
val sqlContext = new org.apache.spark.sql.SQLContext(sc)
Whereas in Spark 2.0 the same effects can be achieved through SparkSession, without expliciting creating SparkConf, SparkContext or SQLContext, as they’re encapsulated within the SparkSession.Using a builder design pattern, it instantiates a SparkSession object if one does not already exist, along with its associated underlying contexts. The entry point into all functionality in Spark is the SparkSession class.
import org.apache.spark.sql.SparkSession
val spark = SparkSession .builder()
.master("local[4]")
.appName("Spark SQL basic example")
.config("spark.some.config.option", "some-value")
.config("spark.sql.warehouse.dir", warehouseLocation)
.enableHiveSupport()
.getOrCreate()
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)
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)
spark.catalog.listTables.show()
![](data:image/png;base64,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)
session2.sql("show tables").show()
![](data:image/png;base64,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)
session2.catalog.listTables.show()
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d3iTOz6RW+1+eJS/ME16NxZdwuTl2rnsh0ik1cYbl24IUAAggggAACUSQQ/eeanAPWJY8ZF7+WUybu/1Ec456vdVP2njTHKY8qP7QuPv3kdPjc3yLRjrhUR7Mvidy7rhtLUl7UV/mGM2ytqhfP5Sr9JFflc32Axh2dVQU7qruzz4unAS79Zc1Fm/94t9JSeeqU+K+7Py5pR9zLUpGuTN4pr2of813lGGjv9Io5xwcnlbikDJ+n84nP17fFpY9+r/iUXHHx4Yu27kWNeTYLoR2xR3yS+Gw5+eKF3z02cobOwdbu6YT0FFEKmjZtUi2ZFBWfhREGjccPIeAC+fmjahiw7SUL5Z3HB7239rmaGLaeaRDz0FLhNw+Dj12348s7BrVcyBuqMUnNn6Rc8Ry9F4/aWgcTdrmuXnU9V2/cahPP1UvIemfR9bXxKeZ0V3eT3WKl6mu4XdwTJV7p5pTQDnTVVlmJAAIIIIAAAmEXCPO5ptn/ePb9v//tF9cw/v7v4tzDLy+//789L0Wnb7719tb/nPLWysfn6KytOnpn/EzugUMHinJTxM3Y4wO2pgu3J+PeqbOI27ndL/H7kt+2F+y/fXhrRlNFhSV3U7xzrLutsaFNqem1n3RvJdOOzDYyI4rPO/9NRWdh/eHsvNaKQ+LJ48Odt+vv9E2Lq8fOq50sWtq2c9haXiAeFx6XW3Eoqc/aJC4c8rzik3L3Fi36znt67Lt/m1v5b9+NTRcvOd2UUfHtF50FH97ev7XbXFpqdj15vK+tqck2mFT20O5+qJ9J3PakdNsO7y8/WSbuyBJ8txvaxjO2iE+KS8NSTOZP9sa913a04GBfxd4sk9Mx0N09XXqtznUiK5R2XJ9TS81xNlv5/vLhstyEyb7O4V1119y/ISplGJ++L1e5c+XgQaVsr+fcQHx8QsKWjKzsjIUnLLrjV/fxDjF4PH4IARaEMn/UDAM07bdI3nm6/fBvMxoOWfbmJo3PzcMth24FmIcqY9fp+PIOQi0XoRj6ofgskJk/rmv0lEZb05243Bb3wZSxN1upv3xbUXL3Lal5TLnlucqjbuWFtWmgttb7vuMfwECTVdwKKBoo17yJ0H9nliCAAAIIIIDAKgqEuWr6+/D9r78Z9Rnfiz/+i/tTgxIvnkGeEvwZ5NIkpqKmZ8/Km+rrb1svHL3i/gSfsCXXfP6b2op9Pl8HbypqsD/bW19zpaGp+mi9Z6Oab2oqvB9wZNqR2UYucFNeXVfvO7VnLtyurxaPIY5Lyir65JvzNftUL+5Z2rR4/kOl+IUl8Ym/u/7D7sVr0y89K8rw/To8LvPQP2V2/e9+JfOfDmX638IkfjC39VlW04UL9damMzZxa7srpPJbt05bvE9HFjfhP3RWfnjh9pmjtwXxO3srWn8oT2kTD/JeGpcodvbd6rpRefSMtb66TTQlypRci/fZ9qG046p3b7UOH628fPvMh7eVuC25lixx58hcwSNjuMl88lDSo9ttV1xx+L7icj/peDD/U11ijYaPd1+VePwZli4Jaf6oGS5tONDfss4Jh1o7LN21Z+qrb4snZ2/JPfTFpbrygGct1cauy/HlHYZaLkIyDOQyv0xi/pgyxCkk8eiHjL1zv+0Vny6eq9fWrWx5J2vppb6bzKcPJOy/M/mi/kzryW+DPMTS0XpGnFAW71AHzpuXNqAaKysRQAABBBBAYNUFjPu9JpmhLuf3mmTaZZt1KeDsqsoutO5q6W3w+VVgcear/czu98RPli75Fa11ScSg9RMYbijY6vr2IuHA/A8/L2rc0V66VdRV4kTTF886ypf1e2H6BUtLCCCAAAIIIBCiQPTf1xTigNl83Qg4B25bXyS8U7r4CRfxpoyMFHF3VpLrv3ghoJtASvmtG++I07iTd/bvv2Zf8iwU8cgW8cMAomSKe+fGLUom3dBpCAEEEEAAAcMEqJoMo6YjgwXiUyzmhMk7B/dVNbR22QfEy97Z2lBzMDvvzGBWRcNp77WHBodFd2tWIKX021bxXBVFsd+xuX4dd+HlHLDdsYs/0ytal/PbAGtWjIEhgAACCCAQPQJcoRc9uSLS0AXGOq+dqW20dQ+Ou3+GNC4hPdtcVFbxSWke95WErskeEgKOrta+lH27/OfXWGfrcNa+gLeMSTTLJggggAACCCCwugJUTavrT+8IIIAAAggggAACCCAQ6QJcoRfpGSI+BBBAAAEEEEAAAQQQWF0BqqbV9ad3BBBAAAEEEEAAAQQQiHQBqqZIzxDxIYAAAggggAACCCCAwOoKUDWtrj+9I4AAAggggAACCCCAQKQLUDVFeoaIDwEEEEAAAQQQQAABBFZXgKppdf3pHQEEEEAAAQQQQAABBCJdgKop0jNEfAgggAACCCCAAAIIILC6AlRNq+tP7wgggAACCCCAAAIIIBDpAp6q6Y033oj0SIkPAQQQQAABBBBAAAEEEFgNAU/V9Ktf/Wo1eqdPBBBAAAEEEEAAAQQQQCDSBd54/fr1XIz/+Mc/fvnll/k/Iz1w4kMAAQQQQAABBBBAAAEEDBFYqJoM6Y5OEEAAAQQQQAABBBBAAIEoE+BpEFGWMMJFAAEEEEAAAQQQQAABgwWomgwGpzsEEEAAAQQQQAABBBCIMgGqpihLGOEigAACCCCAAAIIIICAwQJUTQaD0x0CCCCAAAIIIIAAAghEmQBVU5QljHARQAABBBBAAAEEEEDAYAGqJoPB6Q4BBBBAAAEEEEAAAQSiTICqKcoSRrgIIIAAAggggAACCCBgsABVk8HgdIcAAggggAACCCCAAAJRJkDVFGUJI1wEEEAAAQQQQAABBBAwWICqyWBwukMAAQQQQAABBBBAAIEoE6BqirKEES4CCCCAAAIIIIAAAggYLEDVZDA43SGAAAIIIIAAAggggECUCVA1RVnCCBcBBBBAAAEEEEAAAQQMFqBqMhic7hBAAAEEEEAAAQQQQCDKBKiaoixhhIsAAggggAACCCCAAAIGC1A1GQxOdwgggAACCCCAAAIIIBBlAlRNUZYwwkUAAQQQQAABBBBAAAGDBaiaDAanOwQQQAABBBBAAAEEEIgyAaqmKEsY4SKAAAIIIIAAAggggIDBAlRNBoPTHQIIIIAAAggggAACCESZAFVTlCWMcBFAAAEEEEAAAQQQQMBgAaomg8HpDgEEEEAAAQQQQAABBKJMgKopyhJGuAgggAACCCCAAAIIIGCwAFWTweB0hwACCCCAAAIIIIAAAlEmQNUUZQkjXAQQQAABBBBAAAEEEDBYgKrJYHC6QwABBBBAAAEEEEAAgSgToGqKsoQRLgIIIIAAAggggAACCBgsQNVkMDjdIYAAAggggAACCCCAQJQJUDVFWcIIFwEEEEAAAQQQQAABBAwWoGoyGJzuEEAAAQQQQAABBBBAIMoEqJqiLGGEiwACCCCAAAIIIIAAAgYLUDUZDE53CCCAAAIIIIAAAgggEGUCelVNM1NTUzNRNvZojDnSiDGMtIyox0O+1H30WouzXpLGtEO+jHGmFwQQQCC6BXSqmkas1b+rto5ElUU0xhxpwBhGWkbU4yFf6j56rcVZL0lj2iFfxjjTCwIIIBDlAjpVTVGuQPgIIIAAAggggAACCCCAQDABqqZgMixHAAEEEEAAAQQQQAABBFwCb+rCMDPrbmZW3NkU69fgzEzAG55iY302NXIbT4BRFbORPjJ9Yeg3zVdtPpOvyMkFx0Xk5EKv48JvRCxAAAEEEFivAm+8fv16uWMfuXv84+aJQHsnlly9XrzZtYZt8FkswNzguOB9w/9dgeMiEo8L/zyxBAEEEEBg/QqspGqacYyMOtxnmWZG7tZ9/nTbiarize4TSDGm5M0m978WtllqvNrbRGPMGC4IrPb8ibRcyMTDnDdm/uBsjLPMnJfZJni+lu7N3wgggAAC61lgJVWTj9vI18c/fpJ/9fr77hNM0fGKxpgjTRbDSMuIejzkS91Hr7U46yVpTDvkyxhnekEAAQSiXICnQUR5AgkfAQQQQAABBBBAAAEEwixA1RRmYJpHAAEEEEAAAQQQQACBKBfQ6Qq9KFcgfAQQQAABBBBAAAEEEEAgmADnmoLJsBwBBBBAAAEEEEAAAQQQcAlQNTEPEEAAAQQQQAABBBBAAAE1AaomNR3WIYAAAggggAACCCCAAAJUTcwBBBBAAAEEEEAAAQQQQEBNgKpJTYd1CCCAAAIIIIAAAggggABVE3MAAQQQQAABBBBAAAEEEFAToGpS02EdAggggAACCCCAAAIIIEDVxBxAAAEEEEAAAQQQQAABBNQEqJrUdFiHAAIIIIAAAggggAACCFA1MQcQQAABBBBAAAEEEEAAATUBqiY1HdYhgAACCCCAAAIIIIAAAlRNzAEEEEAAAQQQQAABBBBAQE2AqklNh3UIIIAAAggggAACCCCAAFUTcwABBBBAAAEEEEAAAQQQUBPQp2qaGbz+wcEPrg/OqHUVYeuiMeYII1QwjLSMqMdDvtR99FqLs16SxrRDvoxxphcEEEAg2gX0qZqiXUE7/pneswcPHrzQuxp14UzvBdH32VXpW1tGfovVNJSPcm7LqacNH71/8P3Td5+HP+NG9hWqQ6jbS8zVmecN5WI+z7+q2h2h9rI2tl9LeV8bGWEUCCCAAAIIqAm8qbaSdboITA223+03mYtz39alORoxQMDR2zs6qyhDj5+/Kk6NXV6HsnnXo6/lRei/l2zM/ntKL4lNNJefSHsldGdGbI0tQ9I7LtpQlOCHLvYH3zfz1O2zOctMXPBWdV2z7LyvgbHrCkljCCCAAAIIGCJA1RR25pmJJ9YWW3rOu7lvR/anuLBLRFEHm4urjm187EguzDctN2rpvOvQ13JjXLqfdMxLdwzl742puTtTXTvMDD5tXm7VFJtafKws33Mi8NWQtbljMqGgxJK2YS6S2LeXW+uGMpKVbbvsvK+Bsa9Mjr0RQAABBBBYDQGqpvCrT028Cn8n9KCvwMbUwuLUlTUpnXcd+lpZpAt7S8esV4fLbseUU1jk3XnK1CGqpre3m4tyNy67QeN3XHbe18DYjdemRwQQQAABBFYoEO6qSdzncOjiRFn9ZztfPWz+vfVh/8SsEpOYaT7y0Qe5vt/iz4z02u7fe9jdPzwpLt2JSUjLtxz5oCjd8xnI3cqrY7Xmns+/7JmISTFXnS6JuVf3WUv/ZELmkdOn9vh8sex42v61taWn31WqxCSmbX+35IM920I+YTDzsvf+za/v9QxPzgVTkhPjJ60es/Ly7kcVzaPevXrOHTq40ELKiRt1O71BabTj3WvGMdhubW554iEsLCk/snOz79krmXbEFVjNzfcfD426rpCKSUjOzDHvKTbnLGpHUYwzlOlLLmZX0Na7Np8ZVFzyvm/mZwY/O1ozVHz1enGiSG6z1dYzJCajEpNWdvVCkeviyanHp3/3+eILxpKP1H+2x/fCyrn5fOTq2bSnIhfe6bwoF1J5l+nLnXgx+N83e6bzhsTM7ftLFg4LsVr2+FqYegH/JRWza0+ZOebaTGuuBozCb+FK5+FUb93Riz1pJ26cnT/Y3H2Iu/+P1jxJO3njtKvKksipJ7KVxiM3x1ydSc55PzH/BWoxy72vSvtozFU3vMYx6M6O6v8XuEeo0Y5c3v2tWIIAAggggICaQLirJnffU/b7ddb7T035hZaSmImnT2z2+5cvJNbXeT+Pig8xx2vEFTaZ+Tst5uQNs6N2m62jseb57NW6PZvnox/6+uLLt7fvN0/YbLbPLjzdGJtW+G72w/v2m9cf7qwrcpcgMyPtF6sb+2PS8s1HLKkmxdH/0Hrz3Ef9Jz6rWvyxSY1ErHvZfvHjxv7ZDWkF+4vTTI7+J9ZzHZOL99GO2ZR/7FSqKN2mehs+vz+RVnLSslDbbRDBzb202/FsONTwcc1scn5hSVmiY+iJrcP2efXI7NWzhZ7P9DLtzIzcPV3TPJqY/e4RS6YpZtYx2t9ju3mxd7T2enm6t/4y0FAmX1Ixi09Rd8+dax6a3ZAiMp+ZHC4+p1sAABMVSURBVOOeQjfP9TuuXn1/cWU54Xj69WfnWoYT0rbnv7t946xjYj4XG7eVnDjhfTLB7IStoTnIfTOjd88enwyaC6m8y/X18nFd9ec9rxIyzSX7Uza8Gn5yz9ZY02M/calqp28pp3V8acx2sVoqZlexIXGciuY05qp2PGILPebhxsySdxN7WqwPR3YWL7yRKFP9LU9ebcgvzvE5MaWeU53iURSpvMvNeQlFKUOJ91XRlaaP5Fx1Saocg/JzTK2dEPIuocgmCCCAAAIIeARe6/GaHqg/YjlSPzDt19j0d7UW8Sr59F9/mF/5059qSyyWY3/468LWP33//V99d57+4atjloUW51op+8rdwU8PTlosZfXf/yz+/fOfTonGr37v3nf6r3844VrznWuN9+XuLFBowWP+6Y+iUUvZDZ92pn9wNW2p/c4nSI2Y5yOYi/HSXIw+kc1HqD52MS634ZHaBz5EP3VdEoaLxqUdz1//4EK9ujhN0z/97DMoIw2l+pKI+fXP34vpZ7Gc+sPCHBO4P/+wZE4NXBVbHSkrKTn51Xc/BUjEokViBpZZLCf+dXzxhpK5cO2klfeFhoP09dMfPxWjOvbVwMJ8/nnAdVxYPv2jN37J48vTV/A579lAK2bNORaCj5jYrrcNy8kHAZIhNTfmBX/uch2xp7p8D3zPyp/+JBAXH//uRWVfzU8WmZhDi0fTeS64IHl/LTPnJcauHbPk+6rE+4/MXBUhT0scg5pzTKodibzPE85NxED/J7GwCf9CAAEEEEDgtTFPHk87UeVzEZ1p285kcWXWc8fCQ51N27YtnBKYmXo5MZOcHKO8Gnru81DimPTt7pM1G94WXxFv3pnm+qI4xmQSV85NuSvAmed3744qaR+87/sVsmLKMacpr/p7JqTr5JeP74rLtDLLS3zaiU2ePzk0345MzDKdSraTuqfQ56yJKWd//gYxriej84ja7SSmZSYor3puWrufz5G5wos1bVy4zM9IQ7m+tGNWHL3NHa+U5JITi592tzHVZ07NJ+LV7Paqsx/khHzJ5qJMBs5Fz4SuTykX87Bfick+YvFepypC2JhuOZIdo/TfffzSNyDN40tmHspsoz3H3K0E9vGZq1p9yc0NrVZc603bSwo2vOpo7pl/J3nZLVyTi99d8riIwDF7cqpfPDIxS8x5iWZkY9Z6X/V0peoTwlwVzakfg5JzTKMd6bxLSLIJAggggAACbgFDrtBTYmIX3RUUs8H1OV3cU+Lzmhrpfni/40nv0yH3DUkbNrjWz7ruvpF9OZ4PiT2HPj968HO/XTY4psQnWqlH2M1M9IsKK3l7qvZ95SuPeS7Q5bQTa0ozKR0TEwvlj6geNQxjtx2vO2X67HrL5eoWJSElOydnZ2Fhvm9tYaShXF/aMc84+kUJkZAjVwkll/hWw34TZVkLPLkYFR/Mfa4DW1ZTCzvNzcPEnCXzcGNqTqJiF3N0Zs/CIxkljq8VRjO/u9YcC9RPoLkaaLuFZXJzQ70Nz9rYdIslueOm9fHLne4rgkee3B9WMk8susQxQEOLc6pjPAH6WrpIe84v3SPQ3+GNeZFPKHNVhKp1DMrOMdV2lpn3QJIsQwABBBBAwC1gTNWkgS2+FT13unloQ7bZcuTUsfTUzabYmee/P159X2O/QKvTymoX7tGZ3yDGlCxVMgVqMfAyvWJefjuiRBTlpTc6yXZMOe+fbbA4Bnu7e8TL9mVHy5cJ2UeqPtrjc0JDMcrQFbtEX1oxh3SGJyZW54ngToC7uPd/Xog3OWvkfyXnWIDRLp6rATYIuEhibgTcb8nCtwtLspsv320ZNJenK89t90ZjtsucbPTPqU7xyMSsNedl2nBvE76Y/X1kg1I7BkOZY2rtiFiWmXfZUbAdAggggMC6E4iEqsnx8HrzUEz+p599tE37/E7wDJk2p25QRl+OxiYXreS3WtxfovYs+TLfr9dQYnZ9mp6dCXzWLJR2FgUx9bx3VFFSMhPnioCQ2ok1pecWif+8Lx7Vda/u3M2bdc3brpe70Iw0DK2v4DHHvp32tmIb6n3qUFJ9n5Hgl7OwLZjLRbI3F95+1PKuHUtsYmaimIe9z6f2uC5J9b5EX+JUqFgXjuJvrvIL91zVHrte89DT08ac980J1TZrb0mV6d7DyQ35+zM132gW5zS0uSoxQKlNgs95md3DG/MiH/3makjvY1oKy8m7VpusRwABBBBYxwLG3NekCjzjcF3atDHV5PNJRjz8rnfJQ+tU23CtjE0rNicqk/c/sw76XrYmLlxzXZ0n/0rM2Z6gzPY0P1y4dWTmZY/tuW8LocQc83ZqgqI873keIIoQ2pl4unALk6h2rDf7xRfJe3Ln6gS5dhxPH3aPLIpiY/rOwmRxo8FLz10fRhrK9aUds7h1xbI9Rhlt/vLe4sE5nvrevyU/AbS3nHjuk4uZQWuzXeSi2JML7+5qedfuQnxVvrM4TZm137QOLqRM9HXTPiv60rrATKaDANuoxSw3x9yNqs7VhW5jN7qOecfwS78jQ25uBBhA4EXiZ2HfT5u1W21PWnpeJZqL5x8Y6bO5ak51jidwlPNLJea8Rguu1TrHrOqj11wNYY5JCCgyeZdph20QQAABBBBwCUTAuabY5PzchPu25ot1U/vF8x5mxKPJ73UMbUzZEGqGYlMtp44MVd9sqTneX2Au2CbuCJl6/rTjYcfz9FM3qhY9I0KtadHM8fzHF580flzV/25hpml2uMf2cEhZFE4oMcemvrsn2dZsu3huprhgm7j40DHUP5JSctz1G0EhtONoqT7au71wZ3ay4noCdf9kTGbZsXzPUw2k2hl53PzlzaGG5OzCwu2ZyeIExtTLoSf3W4aVRLMlzXPqwkBD8ZlGO18yMSsbc46dMp8+Z7v58fEn+YX5mZtjZkf6nzx8MvQq89j1s4Ure/JDoKky0Vx99HF+YWFmsmty2OwTvrnw7qCW90CN+i0zFZ449rj6y/s1x5+b9+R7njzeP7kh+9iJMIzJ3b1azFJzbG4QqnPVZ5yJO7cntty31dXFFG9PViaGhjbuOTb3SA+ZueEHprJAPBwgf8O55i+HlZQyc8Cbz9Rzqnc8KqEqUnNerQHPOn1jVvfRaa6GMMckAMQm2nmXa4etEEAAAQQQiIiqSYlNP3LhRMyXzbaWxh7xy6spOYUfXKrKmWo4em4oxBTFbt5z9kZae7P1fvf9xg5xTZxoLTO37JRFumRyd7gx56O6U6kNX9970nLziXhsQn7xqes5z89+fHMhnJBi3lx89tTU9d/bOpobO9y/LZuWkzI793QK6XZSjlw9Hmv72mptFD/NuiE5e395uSV34XkAMu1s3nPhq23dtnu2x/du2lw/Juz+mVtz2bGS+Z8TFsuMM5TpSy5m8TM45Zfqt99vvmvrdaVMPGhR/CDskU8t5tB/31hmymWe+LSw32pt9ubi5KJczLegkneZXlx3Zpz+LPHe19b7j5sbbe5BFRz5aNFP98q1E8JWKjHLzDF3TxpzdSGa2NSSUydmv/y97f5NcbZOzGqzQ0zLuQJep3no7WzjNos58UnLRObSU4LeDbRyqnM8KimRnPMqLXhX6Rmzlo8+c1V6jkmM3r2JZt5lG2I7BBBAAAEE3hBPX1+5gvj5y6M1PdtrbxwPdO3LytsPRwvRGHM4HFbS5voznOm9cOiiPfPU7bM54bmxaCXp0Nx3/eVrgWSq97PjF3tzPr3ud/ek/jldW876+2hOVB03CJ73hU7WVr50xKMpBBBAAIFFAhFwXxMZQQABBMIqIG4Ia3gibmmyrOiBM2ENkcbDIEDew4BKkwgggMC6FYiA+5rWrT0DRwCB8Aq4H6wwNWq33e+ZSHy3tjjgLU3hDYHWV0GAvK8COl0igAACa16AqmnNp5gBIrBeBaYG7zY0iocOinsTxe+4+d6+t15F1se4yfv6yDOjRAABBAwWoGoyGJzuologNuf0t99G9QjWVfAbc09/rZkucqo+J6LQRyrv6qNmLQIIIIAAAksF9HkaxNJW+RsBBBBAAAEEEEAAAQQQWCsCPA1irWSScSCAAAIIIIAAAggggEB4BKiawuNKqwgggAACCCCAAAIIILBWBKia1komGQcCCCCAAAIIIIAAAgiER4CqKTyutIoAAggggAACCCCAAAJrRYCqaa1kknEggAACCCCAAAIIIIBAeASomsLjSqsIIIAAAggggAACCCCwVgSomtZKJhkHAggggAACCCCAAAIIhEeAqik8rrSKAAIIIIAAAggggAACa0WAqmmtZJJxIIAAAggggAACCCCAQHgEqJrC40qrCCCAAAIIIIAAAgggsFYEqJrWSiYZBwIIIIAAAggggAACCIRHQK+qaWZqamomPCGGrdVojDlsGMtsGMNlwq3SbuTLGHicjXHWqxfypZck7SCAAAJrWUCnqmnEWv27autIVElFY8yRBoxhpGVEPR7ype6j11qc9ZI0ph3yZYwzvSCAAAJRLqBT1RTlCoSPAAIIIIAAAggggAACCAQToGoKJsNyBBBAAAEEEEAAAQQQQMAl8KYuDDOz7mZmxZ1NsX4NzswEvOEpNtZnUyO38QQYVTEb6SPTF4Z+03zV5jP5ipxccFxETi70Oi78RsQCBBBAAIH1KvDG69evlzv2kbvHP26eCLR3YsnV68WbXWvYBp/FAswNjgveN/zfFTguIvG48M8TSxBAAAEE1q/ASqqmGcfIqMN9lmlm5G7d50+3nagq3uw+gRRjSt5scv9rYZulxqu9TTTGjOGCwGrPn0jLhUw8zHlj5g/OxjjLzHmZbYLna+ne/I0AAgggsJ4FVlI1+biNfH384yf5V6+/7z7BFB2vaIw50mQxjLSMqMdDvtR99FqLs16SxrRDvoxxphcEEEAgygV4GkSUJ5DwEUAAAQQQQAABBBBAIMwCVE1hBqZ5BBBAAAEEEEAAAQQQiHIBna7Qi3IFwkcAAQQQQAABBBBAAAEEgglwrimYDMsRQAABBBBAAAEEEEAAAZcAVRPzAAEEEEAAAQQQQAABBBBQE6BqUtNhHQIIIIAAAggggAACCCBA1cQcQAABBBBAAAEEEEAAAQTUBKia1HRYhwACCCCAAAIIIIAAAghQNTEHEEAAAQQQQAABBBBAAAE1AaomNR3WIYAAAggggAACCCCAAAJUTcwBBBBAAAEEEEAAAQQQQEBNgKpJTYd1CCCAAAIIIIAAAggggABVE3MAAQQQQAABBBBAAAEEEFAToGpS02EdAggggAACCCCAAAIIIEDVxBxAAAEEEEAAAQQQQAABBNQEqJrUdFiHAAIIIIAAAggggAACCFA1MQcQQAABBBBAAAEEEEAAATUBqiY1HdYhgAACCCCAAAIIIIAAAlRNzAEEEEAAAQQQQAABBBBAQE2AqklNh3UIIIAAAggggAACCCCAgF5V08zU1NRMlHFGY8yRRoxhpGVEPR7ype6j11qc9ZI0ph3yZYwzvSCAAALRLaBT1TRirf5dtXUkqiyiMeZIA8Yw0jKiHg/5UvfRay3Oekka0w75MsaZXhBAAIEoF9CpaopyBcJHAAEEEEAAAQQQQAABBIIJUDUFk2E5AggggAACCCCAAAIIIOASeFMXhplZdzOz4s6mWL8GZ2YC3vAUG+uzqZHbeAKMqpiN9JHpC0O/ab5q85l8RU4uOC4iJxd6HRd+I2IBAggggMB6FXjj9evXyx37yN3jHzdPBNo7seTq9eLNrjVsg89iAeYGxwXvG/7vChwXkXhc+OeJJQgggAAC61dgJVXTjGNk1OE+yzQzcrfu86fbTlQVb3afQIoxJW82uf+1sM1S49XeJhpjxnBBYLXnT6TlQiYe5rwx8wdnY5xl5rzMNsHztXRv/kYAAQQQWM8CK6mafNxGvj7+8ZP8q9ffd59gio5XNMYcabIYRlpG1OMhX+o+eq3FWS9JY9ohX8Y40wsCCCAQ5QI8DSLKE0j4CCCAAAIIIIAAAgggEGYBqqYwA9M8AggggAACCCCAAAIIRLmATlfoRbkC4SOAAAIIIIAAAggggAACwQQ41xRMhuUIIIAAAggggAACCCCAgEuAqol5gAACCCCAAAIIIIAAAgioCVA1qemwDgEEEEAAAQQQQAABBBCgamIOIIAAAggggAACCCCAAAJqAlRNajqsQwABBBBAAAEEEEAAAQSompgDCCCAAAIIIIAAAggggICaAFWTmg7rEEAAAQQQQAABBBBAAAGqJuYAAggggAACCCCAAAIIIKAmQNWkpsM6BBBAAAEEEEAAAQQQQICqiTmAAAIIIIAAAggggAACCKgJUDWp6bAOAQQQQAABBBBAAAEEEKBqYg4ggAACCCCAAAIIIIAAAmoCVE1qOqxDAAEEEEAAAQQQQAABBKiamAMIIIAAAggggAACCCCAgJoAVZOaDusQQAABBBBAAAEEEEAAAaom5gACCCCAAAIIIIAAAgggoCZA1aSmwzoEEEAAAQQQQAABBBBAgKqJOYAAAggggAACCCCAAAIIqAn8f/eoI+1ynSoiAAAAAElFTkSuQmCC)
This isolation is for the configurations as well. Both sessions can have their own configs.
spark.conf.get("spark.sql.crossJoin.enabled")
res21: String = true
session2.conf.get("spark.sql.crossJoin.enabled")
res25: String = false
Below is an example on how to create a SparkSession using builder pattern method and SparkContext. SparkContext will be created only once for an application; even if you try to create another SparkContext, it still return existing SparkContext.
Example
package com.bigdata.spark
import org.apache.spark.sql.SparkSession
- Spark Context,
- SQL Context,
- Streaming Context,
- Hive Context.
Create Spark Session
//set up the spark configuration and create contexts
val sparkConf = new SparkConf().setAppName("SparkSessionExample").setMaster("local")
// your handle to SparkContext to access other context like SQLContext
val sc = new SparkContext(sparkConf).set("spark.some.config.option", "some-value")
val sqlContext = new org.apache.spark.sql.SQLContext(sc)
Whereas in Spark 2.0 the same effects can be achieved through SparkSession, without expliciting creating SparkConf, SparkContext or SQLContext, as they’re encapsulated within the SparkSession.Using a builder design pattern, it instantiates a SparkSession object if one does not already exist, along with its associated underlying contexts. The entry point into all functionality in Spark is the SparkSession class.
import org.apache.spark.sql.SparkSession
val spark = SparkSession .builder()
.master("local[4]")
.appName("Spark SQL basic example")
.config("spark.some.config.option", "some-value")
.config("spark.sql.warehouse.dir", warehouseLocation)
.enableHiveSupport()
.getOrCreate()
The
spark session builder will try to get a spark session if there is one
already created or create a new one and assigns the newly created
SparkSession as the global default. enableHiveSupport here is
similar to creating a HiveContext and all it does is enables access to
Hive metastore, Hive serdes, and Hive udfs. We can access spark context
and other context using the spark session object.
- spark.sparkContext
- spark.sqlContext
Spark Session in pyspark
from pyspark.sql import SparkSession
spark = SparkSession.builder\
.master("local[*]")\
.appName('PySpark_Tutorial')\
.getOrCreate()
# where the '*' represents all the cores of the CPU.
Spark Session for MongoDB
import com.mongodb.spark._ import org.apache.spark.sql.SparkSession val spark = SparkSession.builder() |
.master("local") |
.appName("MongoSparkConnectorIntro") |
.config("spark.mongodb.input.uri", "mongodb://127.0.0.1/test.myCollection") |
.config("spark.mongodb.output.uri", "mongodb://127.0.0.1/test.myCollection") |
.getOrCreate() |
As
we know, in previous versions, (before 2.0) spark context is the entry
point for spark, As RDD was the main API, it was created and manipulated
using context API’s. For every other API, we needed to use a different
context. For streaming we needed streamingContext. For SQL sqlContext
and for hive hiveContext.But as dataSet and DataFrame API’s are
becoming new standalone API’s we need an entry-point build for them. So
in spark 2.0, we have a new entry point build for DataSet and DataFrame
API’s called as Spark-Session. Its a combination of SQLContext,
HiveContext and future streamingContext. All the API’s available on
those contexts are available on SparkSession also SparkSession has a
spark context for actual computation.its avoids the developer to worry
about creating difference contexts. But apart from this big advantage,
the developers of spark have tried to solve the problem when there are
multiple users using the same spark context.Let’s say we have multiple
users accessing the same notebook environment which had shared spark
context and the requirement was to have an isolated environment sharing
the same spark context. Prior to 2.0, the solution to this was to create
multiple spark contexts ie spark context per isolated environment or
users and is an expensive operation(generally 1 per JVM). But with the
introduction of the spark session, this issue has been addressed.
How do create multiple Spark Session?
Spark gives a straight forward API to create a new session which shares the same spark context spark.newSession()
creates a new spark session object. If we look closely at the hash of
the spark and session2 , they both are different. In contrast, the
underneath spark context is the same.
val session1 = spark
val session1 = spark
val session2 = spark.newSession()
![](data:image/png;base64,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)
session1.sparkContext
![](data:image/png;base64,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)
session2.sparkContext
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)
Also, we can verify that the spark session gives a unified view of all the contexts and isolation of configuration and environment. We can directly query without creating a SQL Context like we used and run the queries similarly. Let’s say we have a table called people_session1 .This table will be only visible in the session spark . Let's say we created a new session session2 .These tables won’t be visible for when we try to access them and also we can create another table with the same name without affecting the table in spark session.
empDF.createOrReplaceTempView("session1")
session2.sparkContext
Also, we can verify that the spark session gives a unified view of all the contexts and isolation of configuration and environment. We can directly query without creating a SQL Context like we used and run the queries similarly. Let’s say we have a table called people_session1 .This table will be only visible in the session spark . Let's say we created a new session session2 .These tables won’t be visible for when we try to access them and also we can create another table with the same name without affecting the table in spark session.
empDF.createOrReplaceTempView("session1")
spark.sql("show tables").show()
spark.catalog.listTables.show()
session2.sql("show tables").show()
session2.catalog.listTables.show()
This isolation is for the configurations as well. Both sessions can have their own configs.
spark.conf.get("spark.sql.crossJoin.enabled")
res21: String = true
session2.conf.get("spark.sql.crossJoin.enabled")
res25: String = false
Example
package com.bigdata.spark
import org.apache.spark.sql.SparkSession
object SparkSessionTest {
def main(args:Array[String]): Unit ={
val sparkSession1 = SparkSession.builder()
.master("local[1]")
.appName("Sparktutorial1")
.getOrCreate();
println("First SparkContext:")
println("APP Name :"+sparkSession1.sparkContext.appName);
println("Deploy Mode :"+sparkSession1.sparkContext.deployMode);
println("Master :"+sparkSession1.sparkContext.master);
val sparkSession2 = SparkSession.builder()
.master("local[1]")
.appName("SparkTutorial2")
.getOrCreate();
println("Second SparkContext:")
println("APP Name :"+sparkSession2.sparkContext.appName);
println("Deploy Mode :"+sparkSession2.sparkContext.deployMode);
println("Master :"+sparkSession2.sparkContext.master);
}
}
OutPut
First SparkContext:
APP Name :Sparktutorial1
Deploy Mode :client
Master :local[1]
Second SparkContext:
APP Name :Sparktutorial1
Deploy Mode :client
Master :local[1]
def main(args:Array[String]): Unit ={
val sparkSession1 = SparkSession.builder()
.master("local[1]")
.appName("Sparktutorial1")
.getOrCreate();
println("First SparkContext:")
println("APP Name :"+sparkSession1.sparkContext.appName);
println("Deploy Mode :"+sparkSession1.sparkContext.deployMode);
println("Master :"+sparkSession1.sparkContext.master);
val sparkSession2 = SparkSession.builder()
.master("local[1]")
.appName("SparkTutorial2")
.getOrCreate();
println("Second SparkContext:")
println("APP Name :"+sparkSession2.sparkContext.appName);
println("Deploy Mode :"+sparkSession2.sparkContext.deployMode);
println("Master :"+sparkSession2.sparkContext.master);
}
}
OutPut
First SparkContext:
APP Name :Sparktutorial1
Deploy Mode :client
Master :local[1]
Second SparkContext:
APP Name :Sparktutorial1
Deploy Mode :client
Master :local[1]
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