Hi!
I'm new to DSE and I try to install DSE on one node. I follow instruction on: http://www.datastax.com/docs/datastax_enterprise1.0/dse_quickstart#java-check-dse
and when finally i try tu run DSE with: $ dse cassandra -t
I get following java stack trace:
[oracle@localhost ~]$ dse cassandra -t
[oracle@localhost ~]$ log4j:ERROR setFile(null,true) call failed.
java.io.FileNotFoundException: /var/log/cassandra/solrvalidation.log (Permission denied)
at java.io.FileOutputStream.openAppend(Native Method)
at java.io.FileOutputStream.<init>(FileOutputStream.java:177)
at java.io.FileOutputStream.<init>(FileOutputStream.java:102)
at org.apache.log4j.FileAppender.setFile(FileAppender.java:294)
at org.apache.log4j.RollingFileAppender.setFile(RollingFileAppender.java:207)
at org.apache.log4j.FileAppender.activateOptions(FileAppender.java:165)
at org.apache.log4j.config.PropertySetter.activate(PropertySetter.java:307)
at org.apache.log4j.config.PropertySetter.setProperties(PropertySetter.java:172)
at org.apache.log4j.config.PropertySetter.setProperties(PropertySetter.java:104)
at org.apache.log4j.PropertyConfigurator.parseAppender(PropertyConfigurator.java:809)
at org.apache.log4j.PropertyConfigurator.parseCategory(PropertyConfigurator.java:735)
at org.apache.log4j.PropertyConfigurator.parseCatsAndRenderers(PropertyConfigurator.java:639)
at org.apache.log4j.PropertyConfigurator.doConfigure(PropertyConfigurator.java:504)
at org.apache.log4j.PropertyConfigurator.doConfigure(PropertyConfigurator.java:395)
at org.apache.log4j.PropertyWatchdog.doOnChange(PropertyConfigurator.java:922)
at org.apache.log4j.helpers.FileWatchdog.checkAndConfigure(FileWatchdog.java:89)
at org.apache.log4j.helpers.FileWatchdog.<init>(FileWatchdog.java:58)
at org.apache.log4j.PropertyWatchdog.<init>(PropertyConfigurator.java:914)
at org.apache.log4j.PropertyConfigurator.configureAndWatch(PropertyConfigurator.java:461)
at org.apache.cassandra.service.AbstractCassandraDaemon.initLog4j(AbstractCassandraDaemon.java:104)
at com.datastax.bdp.server.DseDaemon.setup(DseDaemon.java:93)
at org.apache.cassandra.service.AbstractCassandraDaemon.activate(AbstractCassandraDaemon.java:356)
at com.datastax.bdp.server.DseDaemon.main(DseDaemon.java:325)
INFO 03:56:38,052 Logging initialized
INFO 03:56:38,315 Loading settings from file:/home/oracle/datastax/dse-2.1/resources/cassandra/conf/cassandra.yaml
ERROR 03:56:38,577 Fatal configuration error error
while parsing a block mapping
in "<reader>", line 10, column 1:
cluster_name: 'Test Cluster'
^
expected <block end>, but found BlockMappingStart
in "<reader>", line 72, column 4:
saved_caches_directory: /home/or ...
^
at org.yaml.snakeyaml.parser.ParserImpl$ParseBlockMappingKey.produce(ParserImpl.java:575)
at org.yaml.snakeyaml.parser.ParserImpl.peekEvent(ParserImpl.java:162)
at org.yaml.snakeyaml.parser.ParserImpl.checkEvent(ParserImpl.java:147)
at org.yaml.snakeyaml.composer.Composer.composeMappingNode(Composer.java:227)
at org.yaml.snakeyaml.composer.Composer.composeNode(Composer.java:159)
at org.yaml.snakeyaml.composer.Composer.composeDocument(Composer.java:121)
at org.yaml.snakeyaml.composer.Composer.getSingleNode(Composer.java:104)
at org.yaml.snakeyaml.constructor.BaseConstructor.getSingleData(BaseConstructor.java:117)
at org.yaml.snakeyaml.Loader.load(Loader.java:52)
at org.yaml.snakeyaml.Yaml.load(Yaml.java:166)
at org.apache.cassandra.config.DatabaseDescriptor.<clinit>(DatabaseDescriptor.java:131)
at org.apache.cassandra.thrift.CassandraServer.<init>(CassandraServer.java:88)
at com.datastax.bdp.server.DseServer.<init>(DseServer.java:109)
at com.datastax.bdp.util.CassandraInternalClient.<init>(CassandraInternalClient.java:19)
at com.datastax.bdp.hadoop.mapred.SchemaTool.init(SchemaTool.java:408)
at com.datastax.bdp.server.DseDaemon.setup(DseDaemon.java:97)
at org.apache.cassandra.service.AbstractCassandraDaemon.activate(AbstractCassandraDaemon.java:356)
at com.datastax.bdp.server.DseDaemon.main(DseDaemon.java:325)
while parsing a block mapping; expected <block end>, but found BlockMappingStart
Invalid yaml; unable to start server. See log for stacktrace.
The problem look very similar to on describe in topic http://www.datastax.com/support-forums/topic/error-in-the-file-cassandrayaml but there is no solution.
Thanks in advance for every help. Below I attach my cassandra.yaml file:
################################################################################################################################################################################
# Cassandra storage config YAML
# NOTE:
# See http://wiki.apache.org/cassandra/StorageConfiguration for
# full explanations of configuration directives
# /NOTE
# The name of the cluster. This is mainly used to prevent machines in
# one logical cluster from joining another.
cluster_name: 'Test Cluster'
# You should always specify InitialToken when setting up a production
# cluster for the first time, and often when adding capacity later.
# The principle is that each node should be given an equal slice of
# the token ring; see http://wiki.apache.org/cassandra/Operations
# for more details.
#
# If blank, Cassandra will request a token bisecting the range of
# the heaviest-loaded existing node. If there is no load information
# available, such as is the case with a new cluster, it will pick
# a random token, which will lead to hot spots.
initial_token: 0
auto_bootstrap: false
# See http://wiki.apache.org/cassandra/HintedHandoff
hinted_handoff_enabled: true
# this defines the maximum amount of time a dead host will have hints
# generated. After it has been dead this long, hints will be dropped.
max_hint_window_in_ms: 3600000 # one hour
# Sleep this long after delivering each row or row fragment
hinted_handoff_throttle_delay_in_ms: 50
# authentication backend, implementing IAuthenticator; used to identify users
# to use Kerberos Protocol V5 set this property to com.datastax.bdp.cassandra.auth.KerberosAuthenticator
authenticator: org.apache.cassandra.auth.AllowAllAuthenticator
# authorization backend, implementing IAuthority; used to limit access/provide permissions
authority: org.apache.cassandra.auth.AllowAllAuthority
# The partitioner is responsible for distributing rows (by key) across
# nodes in the cluster. Any IPartitioner may be used, including your
# own as long as it is on the classpath. Out of the box, Cassandra
# provides org.apache.cassandra.dht.RandomPartitioner
# org.apache.cassandra.dht.ByteOrderedPartitioner,
# org.apache.cassandra.dht.OrderPreservingPartitioner (deprecated),
# and org.apache.cassandra.dht.CollatingOrderPreservingPartitioner
# (deprecated).
#
# - RandomPartitioner distributes rows across the cluster evenly by md5.
# When in doubt, this is the best option.
# - ByteOrderedPartitioner orders rows lexically by key bytes. BOP allows
# scanning rows in key order, but the ordering can generate hot spots
# for sequential insertion workloads.
# - OrderPreservingPartitioner is an obsolete form of BOP, that stores
# - keys in a less-efficient format and only works with keys that are
# UTF8-encoded Strings.
# - CollatingOPP colates according to EN,US rules rather than lexical byte
# ordering. Use this as an example if you need custom collation.
#
# See http://wiki.apache.org/cassandra/Operations for more on
# partitioners and token selection.
partitioner: org.apache.cassandra.dht.RandomPartitioner
# directories where Cassandra should store data on disk.
data_file_directories:
- /home/oracle/datastax/dse-data
# commit log
commitlog_directory: /home/oracle/datastax/dse-data/commitlog
# saved caches
saved_caches_directory: /home/oracle/datastax/dse-data/saved_caches
# commitlog_sync may be either "periodic" or "batch."
# When in batch mode, Cassandra won't ack writes until the commit log
# has been fsynced to disk. It will wait up to
# commitlog_sync_batch_window_in_ms milliseconds for other writes, before
# performing the sync.
#
# commitlog_sync: batch
# commitlog_sync_batch_window_in_ms: 50
#
# the other option is "periodic" where writes may be acked immediately
# and the CommitLog is simply synced every commitlog_sync_period_in_ms
# milliseconds.
commitlog_sync: periodic
commitlog_sync_period_in_ms: 10000
# any class that implements the SeedProvider interface and has a constructor that takes a Map<String, String> of
# parameters will do.
seed_provider:
# Addresses of hosts that are deemed contact points.
# Cassandra nodes use this list of hosts to find each other and learn
# the topology of the ring. You must change this if you are running
# multiple nodes!
- class_name: org.apache.cassandra.locator.SimpleSeedProvider
parameters:
# seeds is actually a comma-delimited list of addresses.
# Ex: "<ip1>,<ip2>,<ip3>"
- seeds: "127.0.0.1"
# emergency pressure valve: each time heap usage after a full (CMS)
# garbage collection is above this fraction of the max, Cassandra will
# flush the largest memtables.
#
# Set to 1.0 to disable. Setting this lower than
# CMSInitiatingOccupancyFraction is not likely to be useful.
#
# RELYING ON THIS AS YOUR PRIMARY TUNING MECHANISM WILL WORK POORLY:
# it is most effective under light to moderate load, or read-heavy
# workloads; under truly massive write load, it will often be too
# little, too late.
flush_largest_memtables_at: 0.75
# emergency pressure valve #2: the first time heap usage after a full
# (CMS) garbage collection is above this fraction of the max,
# Cassandra will reduce cache maximum _capacity_ to the given fraction
# of the current _size_. Should usually be set substantially above
# flush_largest_memtables_at, since that will have less long-term
# impact on the system.
#
# Set to 1.0 to disable. Setting this lower than
# CMSInitiatingOccupancyFraction is not likely to be useful.
reduce_cache_sizes_at: 0.85
reduce_cache_capacity_to: 0.6
# For workloads with more data than can fit in memory, Cassandra's
# bottleneck will be reads that need to fetch data from
# disk. "concurrent_reads" should be set to (16 * number_of_drives) in
# order to allow the operations to enqueue low enough in the stack
# that the OS and drives can reorder them.
#
# On the other hand, since writes are almost never IO bound, the ideal
# number of "concurrent_writes" is dependent on the number of cores in
# your system; (8 * number_of_cores) is a good rule of thumb.
concurrent_reads: 32
concurrent_writes: 32
# Total memory to use for memtables. Cassandra will flush the largest
# memtable when this much memory is used. Prefer using this to
# the older, per-ColumnFamily memtable flush thresholds.
# If omitted, Cassandra will set it to 1/3 of the heap.
# If set to 0, only the old flush thresholds are used.
# memtable_total_space_in_mb: 2048
# Total space to use for commitlogs.
# If space gets above this value (it will round up to the next nearest
# segment multiple), Cassandra will flush every dirty CF in the oldest
# segment and remove it.
# commitlog_total_space_in_mb: 4096
# This sets the amount of memtable flush writer threads. These will
# be blocked by disk io, and each one will hold a memtable in memory
# while blocked. If you have a large heap and many data directories,
# you can increase this value for better flush performance.
# By default this will be set to the amount of data directories defined.
#memtable_flush_writers: 1
# the number of full memtables to allow pending flush, that is,
# waiting for a writer thread. At a minimum, this should be set to
# the maximum number of secondary indexes created on a single CF.
memtable_flush_queue_size: 4
# Buffer size to use when performing contiguous column slices.
# Increase this to the size of the column slices you typically perform
sliced_buffer_size_in_kb: 64
# TCP port, for commands and data
storage_port: 7000
# SSL port, for encrypted communication. Unused unless enabled in
# encryption_options
ssl_storage_port: 7001
# Address to bind to and tell other Cassandra nodes to connect to. You
# _must_ change this if you want multiple nodes to be able to
# communicate!
#
# Leaving it blank leaves it up to InetAddress.getLocalHost(). This
# will always do the Right Thing *if* the node is properly configured
# (hostname, name resolution, etc), and the Right Thing is to use the
# address associated with the hostname (it might not be).
#
# Setting this to 0.0.0.0 is always wrong.
listen_address: 127.0.0.1
# Address to broadcast to other Cassandra nodes
# Leaving this blank will set it to the same value as listen_address
# broadcast_address: 1.2.3.4
# The address to bind the Thrift RPC service to -- clients connect
# here. Unlike ListenAddress above, you *can* specify 0.0.0.0 here if
# you want Thrift to listen on all interfaces.
#
# Leaving this blank has the same effect it does for ListenAddress,
# (i.e. it will be based on the configured hostname of the node).
rpc_address: 0.0.0.0
# port for Thrift to listen for clients on
rpc_port: 9160
# enable or disable keepalive on rpc connections
rpc_keepalive: true
# Cassandra provides you with a variety of options for RPC Server
# sync -> Creates one thread per connection but with a configurable number of
# threads. This can be expensive in memory used for thread stack for
# a large enough number of clients. (Hence, connection pooling is
# very, very strongly recommended.)
#
# async -> Nonblocking server implementation with one thread to serve
# rpc connections. This is not recommended for high throughput use
# cases.
#
# hsha -> half sync and half async implementation with configurable number
# of worker threads (For managing connections). IO Management is
# done by a set of threads currently equal to the number of
# processors in the system. The number of threads in the threadpool
# is configured via rpc_min_threads and rpc_max_threads. (Connection
# pooling is strongly recommended in this case too.)
rpc_server_type: sync
# Uncomment rpc_min|max|thread to set request pool size.
# You would primarily set max for the sync server to safeguard against
# misbehaved clients; if you do hit the max, Cassandra will block until one
# disconnects before accepting more. The defaults are min of 16 and max
# unlimited.
#
# For the Hsha server, you would set the max so that a fair amount of resources
# are provided to the other working threads on the server.
#
# This configuration is not used for the async server.
#
# rpc_min_threads: 16
# rpc_max_threads: 2048
# uncomment to set socket buffer sizes on rpc connections
# rpc_send_buff_size_in_bytes:
# rpc_recv_buff_size_in_bytes:
# Frame size for thrift (maximum field length).
# 0 disables TFramedTransport in favor of TSocket. This option
# is deprecated; we strongly recommend using Framed mode.
thrift_framed_transport_size_in_mb: 15
# The max length of a thrift message, including all fields and
# internal thrift overhead.
thrift_max_message_length_in_mb: 16
# Set to true to have Cassandra create a hard link to each sstable
# flushed or streamed locally in a backups/ subdirectory of the
# Keyspace data. Removing these links is the operator's
# responsibility.
incremental_backups: false
# Whether or not to take a snapshot before each compaction. Be
# careful using this option, since Cassandra won't clean up the
# snapshots for you. Mostly useful if you're paranoid when there
# is a data format change.
snapshot_before_compaction: false
# Add column indexes to a row after its contents reach this size.
# Increase if your column values are large, or if you have a very large
# number of columns. The competing causes are, Cassandra has to
# deserialize this much of the row to read a single column, so you want
# it to be small - at least if you do many partial-row reads - but all
# the index data is read for each access, so you don't want to generate
# that wastefully either.
column_index_size_in_kb: 64
# Size limit for rows being compacted in memory. Larger rows will spill
# over to disk and use a slower two-pass compaction process. A message
# will be logged specifying the row key.
in_memory_compaction_limit_in_mb: 64
# Number of simultaneous compactions to allow, NOT including
# validation "compactions" for anti-entropy repair. This defaults to
# the number of cores. This can help preserve read performance in a
# mixed read/write workload, by mitigating the tendency of small
# sstables to accumulate during a single long running compactions. The
# default is usually fine and if you experience problems with
# compaction running too slowly or too fast, you should look at
# compaction_throughput_mb_per_sec first.
#
# Uncomment to make compaction mono-threaded.
#concurrent_compactors: 1
# Multi-threaded compaction. When enabled, each compaction will use
# up to one thread per core, plus one thread per sstable being merged.
# This is usually only useful for SSD-based hardware: otherwise,
# your concern is usually to get compaction to do LESS i/o (see:
# compaction_throughput_mb_per_sec), not more.
multithreaded_compaction: false
# Throttles compaction to the given total throughput across the entire
# system. The faster you insert data, the faster you need to compact in
# order to keep the sstable count down, but in general, setting this to
# 16 to 32 times the rate you are inserting data is more than sufficient.
# Setting this to 0 disables throttling. Note that this account for all types
# of compaction, including validation compaction.
compaction_throughput_mb_per_sec: 16
# Track cached row keys during compaction, and re-cache their new
# positions in the compacted sstable. Disable if you use really large
# key caches.
compaction_preheat_key_cache: true
# Throttles all outbound streaming file transfers on this node to the
# given total throughput in Mbps. This is necessary because Cassandra does
# mostly sequential IO when streaming data during bootstrap or repair, which
# can lead to saturating the network connection and degrading rpc performance.
# When unset, the default is 400 Mbps or 50 MB/s.
# stream_throughput_outbound_megabits_per_sec: 400
# Time to wait for a reply from other nodes before failing the command
rpc_timeout_in_ms: 10000
# phi value that must be reached for a host to be marked down.
# most users should never need to adjust this.
# phi_convict_threshold: 8
# endpoint_snitch -- Set this to a class that implements
# IEndpointSnitch, which will let Cassandra know enough
# about your network topology to route requests efficiently.
# Out of the box, Cassandra provides
# - org.apache.cassandra.locator.SimpleSnitch:
# Treats Strategy order as proximity. This improves cache locality
# when disabling read repair, which can further improve throughput.
# - org.apache.cassandra.locator.RackInferringSnitch:
# Proximity is determined by rack and data center, which are
# assumed to correspond to the 3rd and 2nd octet of each node's
# IP address, respectively
# org.apache.cassandra.locator.PropertyFileSnitch:
# - Proximity is determined by rack and data center, which are
# explicitly configured in cassandra-topology.properties.
endpoint_snitch: com.datastax.bdp.snitch.DseDelegateSnitch
# controls how often to perform the more expensive part of host score
# calculation
dynamic_snitch_update_interval_in_ms: 100
# controls how often to reset all host scores, allowing a bad host to
# possibly recover
dynamic_snitch_reset_interval_in_ms: 600000
# if set greater than zero and read_repair_chance is < 1.0, this will allow
# 'pinning' of replicas to hosts in order to increase cache capacity.
# The badness threshold will control how much worse the pinned host has to be
# before the dynamic snitch will prefer other replicas over it. This is
# expressed as a double which represents a percentage. Thus, a value of
# 0.2 means Cassandra would continue to prefer the static snitch values
# until the pinned host was 20% worse than the fastest.
dynamic_snitch_badness_threshold: 0.1
# request_scheduler -- Set this to a class that implements
# RequestScheduler, which will schedule incoming client requests
# according to the specific policy. This is useful for multi-tenancy
# with a single Cassandra cluster.
# NOTE: This is specifically for requests from the client and does
# not affect inter node communication.
# org.apache.cassandra.scheduler.NoScheduler - No scheduling takes place
# org.apache.cassandra.scheduler.RoundRobinScheduler - Round robin of
# client requests to a node with a separate queue for each
# request_scheduler_id. The scheduler is further customized by
# request_scheduler_options as described below.
request_scheduler: org.apache.cassandra.scheduler.NoScheduler
# Scheduler Options vary based on the type of scheduler
# NoScheduler - Has no options
# RoundRobin
# - throttle_limit -- The throttle_limit is the number of in-flight
# requests per client. Requests beyond
# that limit are queued up until
# running requests can complete.
# The value of 80 here is twice the number of
# concurrent_reads + concurrent_writes.
# - default_weight -- default_weight is optional and allows for
# overriding the default which is 1.
# - weights -- Weights are optional and will default to 1 or the
# overridden default_weight. The weight translates into how
# many requests are handled during each turn of the
# RoundRobin, based on the scheduler id.
#
# request_scheduler_options:
# throttle_limit: 80
# default_weight: 5
# weights:
# Keyspace1: 1
# Keyspace2: 5
# request_scheduler_id -- An identifer based on which to perform
# the request scheduling. Currently the only valid option is keyspace.
# request_scheduler_id: keyspace
# index_interval controls the sampling of entries from the primrary
# row index in terms of space versus time. The larger the interval,
# the smaller and less effective the sampling will be. In technicial
# terms, the interval coresponds to the number of index entries that
# are skipped between taking each sample. All the sampled entries
# must fit in memory. Generally, a value between 128 and 512 here
# coupled with a large key cache size on CFs results in the best trade
# offs. This value is not often changed, however if you have many
# very small rows (many to an OS page), then increasing this will
# often lower memory usage without a impact on performance.
index_interval: 128
# Enable or disable inter-node encryption
# Default settings are TLS v1, RSA 1024-bit keys (it is imperative that
# users generate their own keys) TLS_RSA_WITH_AES_128_CBC_SHA as the cipher
# suite for authentication, key exchange and encryption of the actual data transfers.
# NOTE: No custom encryption options are enabled at the moment
# The available internode options are : all, none, dc, rack
#
# If set to dc cassandra will encrypt the traffic between the DCs
# If set to rack cassandra will encrypt the traffic between the racks
#
# The passwords used in these options must match the passwords used when generating
# the keystore and truststore. For instructions on generating these files, see:
# http://download.oracle.com/javase/6/docs/technotes/guides/security/jsse/JSSERefGuide.html#CreateKeystore
encryption_options:
internode_encryption: none
keystore: conf/.keystore
keystore_password: cassandra
truststore: conf/.truststore
truststore_password: cassandra
