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Get Solr cluster status





In [63]:



    


import requests
import json

response = requests.get('http://solr1:8983/solr/admin/collections?action=clusterstatus&wt=json')
print(json.dumps(response.json(), indent=2))



    


















    






{
  "cluster": {
    "collections": {
      "nexustiles": {
        "replicationFactor": "1", 
        "configName": "nexustiles", 
        "maxShardsPerNode": "1", 
        "shards": {
          "shard2": {
            "range": "d5550000-2aa9ffff", 
            "state": "active", 
            "replicas": {
              "core_node3": {
                "core": "nexustiles_shard2_replica1", 
                "state": "active", 
                "base_url": "http://172.20.0.12:8983/solr", 
                "leader": "true", 
                "node_name": "172.20.0.12:8983_solr"
              }
            }
          }, 
          "shard3": {
            "range": "2aaa0000-7fffffff", 
            "state": "active", 
            "replicas": {
              "core_node2": {
                "core": "nexustiles_shard3_replica1", 
                "state": "active", 
                "base_url": "http://172.20.0.13:8983/solr", 
                "leader": "true", 
                "node_name": "172.20.0.13:8983_solr"
              }
            }
          }, 
          "shard1": {
            "range": "80000000-d554ffff", 
            "state": "active", 
            "replicas": {
              "core_node1": {
                "core": "nexustiles_shard1_replica1", 
                "state": "active", 
                "base_url": "http://172.20.0.5:8983/solr", 
                "leader": "true", 
                "node_name": "172.20.0.5:8983_solr"
              }
            }
          }
        }, 
        "autoAddReplicas": "false", 
        "router": {
          "name": "compositeId"
        }, 
        "znodeVersion": 37
      }
    }, 
    "live_nodes": [
      "172.20.0.5:8983_solr", 
      "172.20.0.13:8983_solr", 
      "172.20.0.12:8983_solr"
    ]
  }, 
  "responseHeader": {
    "status": 0, 
    "QTime": 23
  }
}

Get number of documents in Solr





In [1]:



    


import requests

response = requests.get('http://solr1:8983/solr/nexustiles/select?q=*:*&wt=json&rows=0')
data = response.json()
print("Number of documents found: %d" % data['response']['numFound'])



    


















    






Number of documents found: 7584417

Get Cassandra cluster status





In [1]:



    


from cassandra.cluster import Cluster

cluster = Cluster(['cassandra1', 'cassandra2', 'cassandra3'])
session = cluster.connect(keyspace="nexustiles")
print("Connected to Cassandra cluster successfully.")



    


















    






Connected to Cassandra cluster successfully.

Get Mesos cluster status





In [2]:



    


import requests
import json

response = requests.get('http://mesos-master:5050/state.json')
print(json.dumps(response.json()['slaves'], indent=2))



    


















    






[
  {
    "id": "cc739ad7-2db8-424c-9272-ce42ad00bfbb-S2",
    "hostname": "18e682b9af0e",
    "port": 5051,
    "attributes": {},
    "pid": "slave(1)@172.18.0.14:5051",
    "registered_time": 1500675598.34831,
    "resources": {
      "disk": 506862.0,
      "mem": 242608.0,
      "gpus": 0.0,
      "cpus": 32.0,
      "ports": "[31000-32000]"
    },
    "used_resources": {
      "disk": 0.0,
      "mem": 6758.0,
      "gpus": 0.0,
      "cpus": 32.0
    },
    "offered_resources": {
      "disk": 0.0,
      "mem": 0.0,
      "gpus": 0.0,
      "cpus": 0.0
    },
    "reserved_resources": {},
    "unreserved_resources": {
      "disk": 506862.0,
      "mem": 242608.0,
      "gpus": 0.0,
      "cpus": 32.0,
      "ports": "[31000-32000]"
    },
    "active": true,
    "version": "1.2.0"
  },
  {
    "id": "cc739ad7-2db8-424c-9272-ce42ad00bfbb-S1",
    "hostname": "8951841d1da6",
    "port": 5051,
    "attributes": {},
    "pid": "slave(1)@172.18.0.13:5051",
    "registered_time": 1500675597.3287,
    "resources": {
      "disk": 506862.0,
      "mem": 242608.0,
      "gpus": 0.0,
      "cpus": 32.0,
      "ports": "[31000-32000]"
    },
    "used_resources": {
      "disk": 0.0,
      "mem": 6758.0,
      "gpus": 0.0,
      "cpus": 32.0
    },
    "offered_resources": {
      "disk": 0.0,
      "mem": 0.0,
      "gpus": 0.0,
      "cpus": 0.0
    },
    "reserved_resources": {},
    "unreserved_resources": {
      "disk": 506862.0,
      "mem": 242608.0,
      "gpus": 0.0,
      "cpus": 32.0,
      "ports": "[31000-32000]"
    },
    "active": true,
    "version": "1.2.0"
  },
  {
    "id": "cc739ad7-2db8-424c-9272-ce42ad00bfbb-S0",
    "hostname": "c0240926a4a2",
    "port": 5051,
    "attributes": {},
    "pid": "slave(1)@172.18.0.12:5051",
    "registered_time": 1500675597.23425,
    "resources": {
      "disk": 506862.0,
      "mem": 242608.0,
      "gpus": 0.0,
      "cpus": 32.0,
      "ports": "[31000-32000]"
    },
    "used_resources": {
      "disk": 0.0,
      "mem": 6758.0,
      "gpus": 0.0,
      "cpus": 32.0
    },
    "offered_resources": {
      "disk": 0.0,
      "mem": 0.0,
      "gpus": 0.0,
      "cpus": 0.0
    },
    "reserved_resources": {},
    "unreserved_resources": {
      "disk": 506862.0,
      "mem": 242608.0,
      "gpus": 0.0,
      "cpus": 32.0,
      "ports": "[31000-32000]"
    },
    "active": true,
    "version": "1.2.0"
  }
]

Get Spark cluster job status





In [3]:



    


import requests

response = requests.get('http://nexus-webapp:4040/api/v1/applications')
appId = response.json()[0]['id']
response = requests.get("http://nexus-webapp:4040/api/v1/applications/%s/jobs" % appId)
for job in response.json():
    print(job['name'])
    print('\t' + job['status'])

Get Nexus dataset list





In [ ]:



    


import requests
from datetime import datetime

response = requests.get('http://nexus-webapp:8083/list')
data = response.json()
for dataset in data:
    print(dataset['shortName'])
    print('\t' + datetime.utcfromtimestamp(dataset['start']/1000).strftime('%Y-%m-%dT%H:%M:%SZ'))
    print('\t' + datetime.utcfromtimestamp(dataset['end']/1000).strftime('%Y-%m-%dT%H:%M:%SZ'))

Get listing of granules and tile count





In [4]:



    


import requests

dataset = 'AVHRR_OI_L4_GHRSST_NCEI'
year = 2016

response = requests.get("http://solr1:8983/solr/nexustiles/query?q=granule_s:%d*&rows=0&fq=dataset_s:%s&facet.field=granule_s&facet=true&facet.mincount=1&facet.limit=-1&facet.sort=index" % (year, dataset))
data = response.json()
for k in data['facet_counts']["facet_fields"]['granule_s']:
    print(k)



    


















    






20160101120000-NCEI-L4_GHRSST-SSTblend-AVHRR_OI-GLOB-v02.0-fv02.0.nc
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Get number of granules ingested





In [5]:



    


import requests

dataset = 'AVHRR_OI_L4_GHRSST_NCEI'
year = 2016

response = requests.get("http://solr1:8983/solr/nexustiles/query?q=granule_s:%d*&json.facet={granule_s:'unique(granule_s)'}&rows=0&fq=dataset_s:%s" % (year, dataset))
data = response.json()
print("Number of granules for %s : %d" % (dataset, data['facets']['granule_s']))



    


















    






Number of granules for AVHRR_OI_L4_GHRSST_NCEI : 365

Content source: dataplumber/nexus

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