Datastax connection exception when using beeline or hive2 jdbc driver (Tableau) - cassandra

Question

I have installed Datastax enterprise 2.8 on my dev VM (Centos 7). The install went through smoothly and the single node cluster is working great. But when I try to connect to the cluster using beeline or hive2 jdbc driver I get an error as shown below. My main aim is to connect Tableau using the Datastax Enterprise driver or Spark Sql driver.
Error observed is:
ERROR 2016-04-14 17:57:56,915
org.apache.thrift.server.TThreadPoolServer: Error occurred during
processing of message. java.lang.RuntimeException:
org.apache.thrift.transport.TTransportException: Invalid status -128
at org.apache.thrift.transport.TSaslServerTransport$Factory.getTransport(TSaslServerTransport.java:219)
~[libthrift-0.9.3.jar:0.9.3]
at org.apache.thrift.server.TThreadPoolServer$WorkerProcess.run(TThreadPoolServer.java:269)
~[libthrift-0.9.3.jar:0.9.3]
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
[na:1.7.0_99]
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
[na:1.7.0_99]
at java.lang.Thread.run(Thread.java:745) [na:1.7.0_99] Caused by: org.apache.thrift.transport.TTransportException: Invalid status
-128
at org.apache.thrift.transport.TSaslTransport.sendAndThrowMessage(TSaslTransport.java:232)
~[libthrift-0.9.3.jar:0.9.3]
at org.apache.thrift.transport.TSaslTransport.receiveSaslMessage(TSaslTransport.java:184)
~[libthrift-0.9.3.jar:0.9.3]
at org.apache.thrift.transport.TSaslServerTransport.handleSaslStartMessage(TSaslServerTransport.java:125)
~[libthrift-0.9.3.jar:0.9.3]
at org.apache.thrift.transport.TSaslTransport.open(TSaslTransport.java:271)
~[libthrift-0.9.3.jar:0.9.3]
at org.apache.thrift.transport.TSaslServerTransport.open(TSaslServerTransport.java:41)
~[libthrift-0.9.3.jar:0.9.3]
at org.apache.thrift.transport.TSaslServerTransport$Factory.getTransport(TSaslServerTransport.java:216)
~[libthrift-0.9.3.jar:0.9.3]
... 4 common frames omitted ERROR 2016-04-14 17:58:59,140 org.apache.spark.scheduler.cluster.SparkDeploySchedulerBackend:
Application has been killed. Reason: Master removed our application:
KILLED
My cassandra.yml config:
cluster_name: 'Cluster1'
num_tokens: 256
hinted_handoff_enabled: true hinted_handoff_throttle_in_kb: 1024
max_hints_delivery_threads: 2
batchlog_replay_throttle_in_kb: 1024
authenticator: AllowAllAuthenticator
authorizer: AllowAllAuthorizer
permissions_validity_in_ms: 2000
partitioner: org.apache.cassandra.dht.Murmur3Partitioner
data_file_directories:
- /var/lib/cassandra/data
commitlog_directory: /var/lib/cassandra/commitlog
disk_failure_policy: stop
commit_failure_policy: stop
key_cache_size_in_mb:
key_cache_save_period: 14400
row_cache_size_in_mb: 0
row_cache_save_period: 0
counter_cache_size_in_mb:
counter_cache_save_period: 7200
saved_caches_directory: /var/lib/cassandra/saved_caches
commitlog_sync: periodic commitlog_sync_period_in_ms: 10000
commitlog_segment_size_in_mb: 32
seed_provider:
- class_name: org.apache.cassandra.locator.SimpleSeedProvider
parameters:
- seeds: "10.33.1.124"
concurrent_reads: 32 concurrent_writes: 32 concurrent_counter_writes:
32
memtable_allocation_type: heap_buffers
index_summary_capacity_in_mb:
index_summary_resize_interval_in_minutes: 60
trickle_fsync: false trickle_fsync_interval_in_kb: 10240
storage_port: 7000
ssl_storage_port: 7001
listen_address: 10.33.1.124
start_native_transport: true native_transport_port: 9042
start_rpc: true
rpc_address: 10.33.1.124
rpc_port: 9160
rpc_keepalive: true
rpc_server_type: sync
thrift_framed_transport_size_in_mb: 15
incremental_backups: false
snapshot_before_compaction: false
auto_snapshot: true
tombstone_warn_threshold: 1000 tombstone_failure_threshold: 100000
column_index_size_in_kb: 64
batch_size_warn_threshold_in_kb: 64
compaction_throughput_mb_per_sec: 16
compaction_large_partition_warning_threshold_mb: 100
sstable_preemptive_open_interval_in_mb: 50
read_request_timeout_in_ms: 5000 range_request_timeout_in_ms: 10000
write_request_timeout_in_ms: 2000 counter_write_request_timeout_in_ms:
5000 cas_contention_timeout_in_ms: 1000
truncate_request_timeout_in_ms: 60000 request_timeout_in_ms: 10000
cross_node_timeout: false
endpoint_snitch: com.datastax.bdp.snitch.DseSimpleSnitch
dynamic_snitch_update_interval_in_ms: 100
dynamic_snitch_reset_interval_in_ms: 600000
dynamic_snitch_badness_threshold: 0.1
request_scheduler: org.apache.cassandra.scheduler.NoScheduler
server_encryption_options:
internode_encryption: none
keystore: resources/dse/conf/.keystore
keystore_password: cassandra
truststore: resources/dse/conf/.truststore
truststore_password: cassandra
client_encryption_options:
enabled: false
optional: false
keystore: resources/dse/conf/.keystore
keystore_password: cassandra
internode_compression: dc
inter_dc_tcp_nodelay: false
concurrent_counter_writes: 32
counter_cache_size_in_mb:
counter_cache_save_period: 7200
memtable_allocation_type: heap_buffers
index_summary_capacity_in_mb:
index_summary_resize_interval_in_minutes: 60
sstable_preemptive_open_interval_in_mb: 50
counter_write_request_timeout_in_ms: 5000
When connecting with beeline, I get the error:
dse beeline Beeline version 0.12.0.11 by Apache Hive beeline> !connect
jdbc:hive2://10.33.1.124:10000 scan complete in 10ms Connecting to
jdbc:hive2://10.33.1.124:10000 Enter username for
jdbc:hive2://10.33.1.124:10000: cassandra Enter password for
jdbc:hive2://10.33.1.124:10000: ********* Error: Invalid URL:
jdbc:hive2://10.33.1.124:10000 (state=08S01,code=0) 0:
jdbc:hive2://10.33.1.124:10000> !connect
jdbc:hive2://10.33.1.124:10000 Connecting to
jdbc:hive2://10.33.1.124:10000 Enter username for
jdbc:hive2://10.33.1.124:10000: Enter password for
jdbc:hive2://10.33.1.124:10000: Error: Invalid URL:
jdbc:hive2://10.33.1.124:10000 (state=08S01,code=0) 1:
jdbc:hive2://10.33.1.124:10000>
I see similar errors when connecting through Tableau as well.

Answer 1

The JDBC driver connects to the SparkSql Thrift server. If you do not start it, you cannot connect to it.
dse spark-sql-thriftserver
/Users/russellspitzer/dse/bin/dse:
usage: dse spark-sql-thriftserver <command> [Spark SQL Thriftserver Options]
Available commands:
start Start Spark SQL Thriftserver
stop Stops Spark SQL Thriftserver