Upgrading DataStax Enterprise 5.0 to 6.0

Upgrade restrictions and limitations

Restrictions and limitations apply while a cluster is in a partially upgraded state. The cluster continues to work as though it were on the earlier version of DataStax Enterprise until all of the nodes in the cluster are upgraded.

Advanced preparation for upgrading DSE Search and SearchAnalytics nodes

Before continuing, complete all the advanced preparation steps on DSE Search and SearchAnalytics nodes while DSE 5.0 is still running.

Make the following changes as required:

1. Change HTTP API queries to CQL queries:
   • Delete-by-id is removed, use CQL DELETE by primary key instead.
   • Delete-by-query no longer supports wildcards, use CQL TRUNCATE instead.
2. If any Solr core was created on DSE 4.6 or earlier and never reindexed after being upgraded to DSE 4.7 or later, you must reindex on DSE 5.0 before upgrading to DSE 6.x:

   dsetool reload_core keyspace_name.table_name schema=filepath solrconfig=filepath reindex=true deleteAll=true distributed=false

   Important: You must reindex all nodes before beginning the upgrade.
3. If you are using Apache Solr SolrJ, the minimum required Solr version is 6.0.0. To find the current Solr version:

   installation_directory/bin/solr status

   For information on upgrading Apache Solr, see Upgrading Solr.

4. For SpatialRecursivePrefixTreeFieldType (RPT) in search schemas, you must adjust your queries for these changes:
   • IsDisjointTo is no longer supported in queries on SpatialRecursivePrefixTreeFieldType. Replace IsDisjointTo with a NOT Intersects query. For example:

     foo:0,0 TO 1000,1000 AND -"Intersects(POLYGON((338 211, 338 305, 404 305, 404 211, 338 211)))")

   • The ENVELOPE syntax is now required for WKT-style queries against SpatialRecursivePrefixTreeFieldType fields. You must specify ENVELOPE(10, 15, 15, 10), where queries on earlier releases could specify 10 10 15 15.
   See Spatial Search for details on using distanceUnits in spatial queries.
5. The Circle syntax is no longer a part of Well-Known-Text (WKT); therefore,Spatial Search queries such as:

   Intersects(Circle(10 10 d=2))

   must be rewritten as:

   Intersects(BUFFER(POINT(10 10), 2)

6. Edit the solrconfig.xml file and make these changes, as needed:
   • Remove these unsupported Solr requestHandlers:
     • XmlUpdateRequestHandler
     • BinaryUpdateRequestHandler
     • CSVRequestHandler
     • JsonUpdateRequestHandler
     • DataImportHandler

     For example:

     <requestHandler name="/dataimport" class="solr.DataImportHandler"/>

     or

     <requestHandler name="/update" class="solr.XmlUpdateRequestHandler"/>

   • Change the directoryFactory from:

     <directoryFactory name="DirectoryFactory" class="${solr.directoryFactory:solr.StandardDirectoryFactory}"/>

     to

     <directoryFactory name="DirectoryFactory" class="solr.StandardDirectoryFactory"/>

   • <unlockOnStartup> is unsupported.
   • Change the updateLog from:

     <updateLog class="solr.FSUpdateLog" force="false">

     to

     <updateLog force="false">

     Tip: For more information on solrconfig.xml, see https://lucene.apache.org/solr/guide/7_6/configuring-solrconfig-xml.html.
7. Upgrading DSE search nodes requires replacing unsupported Solr types with supported types.
   Note: Special handling is also required for BCDStrField, addressed in step #upgdDSE50to60__d16e4316.
   Sorting limitations apply to mixed version clusters. Some of the removed Solr types, due to the way they marshal sort values during distributed queries (combined with the way the suggested new types unmarshal sort values), cannot be sorted on during rolling upgrades when some nodes use an unsupported type and other nodes use the suggested new type. The following type transitions are problematic:

   Removed Solr field types	Supported Solr field types
   ByteField	TrieIntField
   DateField	TrieDateField
   BCDIntField	TrieIntField
   BCDLongField	TrieLongField

   Two options are available:
   1. Avoid sorting on removed Solr field types until the upgrade is complete for all nodes in the datacenter being queried.
      Tip: When using two search datacenters, isolate queries to a single datacenter and then change the schema and reindex the other datacenter. Then isolate queries to the newly reindexed datacenter while you change the schema and upgrade the first datacenter.
   2. If you are using BCDIntField or BCDLongField, update the schema to replace BCDIntField and BCDLongField with types that are sort-compatible with the supported Solr types TrieIntField and TrieLongField:

      Removed Solr field types	Interim sort-compatible supported Solr field types
      BCDIntField	SortableIntField
      BCDLongField	SortableLongField

      Change the schema in a distributed fashion, and do not reindex. After the schema is updated on all nodes, then go on to #upgdDSE50to60__d16e4100.
8. Update the schema and configuration for the Solr field types that are removed from Solr 5.5 and later.
   • Update the schema to replace unsupported Solr field types with supported Solr field types:

     Removed Solr field types	Supported Solr field types
     ByteField	TrieIntField
     DateField	TrieDateField
     DoubleField	TrieDoubleField
     FloatField	TrieFloatField
     IntField	TrieIntField
     LongField	TrieLongField
     ShortField	TrieIntField
     SortableDoubleField	TrieDoubleField
     SortableFloatField	TrieFloatField
     SortableIntField	TrieIntField
     SortableLongField	TrieLongField
     BCDIntField	TrieIntField
     BCDLongField	TrieLongField
     BCDStrField (see #upgdDSE50to60__d16e4316 if used)	TrieIntField

   • If you are using type mapping version 0, or you do not specify a type mapper, verify or update the solrconfig.xml to use dseTypeMappingVersion 1:

     <dseTypeMappingVersion>1</dseTypeMappingVersion>

     If the Solr core is backed by a CQL table and the type mapping is unspecified, use type mapping version 2.
     Tip: For more information on solrconfig.xml, see https://lucene.apache.org/solr/guide/7_6/configuring-solrconfig-xml.html.
   • Reload the core:

     dsetool reload_core keyspace_name.table_name schema=filepath solrconfig=filepath

     If you were using the unsupported data types, do a full reindex node-by-node:

     dsetool reload_core keyspace_name.table_name schema=filepath solrconfig=filepath reindex=true deleteAll=true distributed=false

   Note: In DSE 5.1 and later, auto generated schemas use data type mapper 2.
9. If using BCDStrField: In DSE 5.0 and earlier, DSE mapped Cassandra text columns to BCDStrField. The deprecated BCDStrField is removed.
   The recommended strategy is to upgrade the data type to TrieIntField. However, DSE cannot map text directly to TrieIntField. If you are using BCDStrField, you must complete one of these options before the upgrade:

   • If BCDStrField is no longer used, remove the BCDStrField field from the Solr schema. Reindexing is not required.
   • If you want to index the field as a TrieIntField, and a full reindex is acceptable, change the underlying database column to use the type int.
   • If you want to keep the database column as text and you still want to do simple matching queries on the indexed field, switch from BCDStrField to StrField in the schema. Indexing should not be required, but the field will no longer be appropriate for numeric range queries or sorting because StrField uses a lexicographic order, not a numeric one.
   • Not recommended: If you want to keep the database column as text and still want to perform numeric range queries and sorts on the former BCDStrField, but would rather change their application than perform a full reindex:
     • Change the field to StrField in the Solr schema with indexed=false.
     • Add a new copy field with the type TrieIntField that has its values supplied by the original BCDStrField.
     This solution still requires reindex to work, because the copy field target must be populated. This non-recommended option is supplied only to support a sub-optimal data model; for example, a text column with values that would fit only into an int.
   After you make these schema changes, do a rolling, node-by-node reload_core:

   dsetool reload_core keyspace_name.table_name schema=filepath solrconfig=filepath reindex=true deleteAll=true distributed=false

   Note: If you have two datacenters and upgrade them one at a time, reload the core with distributed=true and deleteAll=true.
10. Tune the schema before you upgrade. After the upgrade, all field definitions in the schema are validated and must be DSE Search compatible, even if the fields are not indexed, have docValues applied, or used for copy-field source. The default behavior of automatic resource generation includes all columns. To improve performance, take action to prevent the fields from being loaded from the database. Include only the required fields in the schema by removing or commenting out unused fields in the schema.

Advanced preparation for upgrading DSE Graph nodes with search indexes

These steps apply to graph nodes that have search indexes. Before continuing, complete these advanced preparation steps while DSE 5.0 is still running.

Edit solrconfig.xml and make these changes, as needed:

1. Remove these unsupported Solr requestHandlers:
   • XmlUpdateRequestHandler
   • BinaryUpdateRequestHandler
   • CSVRequestHandler
   • JsonUpdateRequestHandler
   • DataImportHandler

   For example:

   <requestHandler name="/dataimport" class="solr.DataImportHandler"/>

   or

   <requestHandler name="/update" class="solr.XmlUpdateRequestHandler"/>

2. Change the directoryFactory from:

   <directoryFactory name="DirectoryFactory" class="${solr.directoryFactory:solr.StandardDirectoryFactory}"/>

   to

   <directoryFactory name="DirectoryFactory" class="solr.StandardDirectoryFactory"/>

3. Remove <unlockOnStartup>.
4. Reload the core:

   dsetool reload_core keyspace_name.table_name reindex=false

Advanced preparation for upgrading DSE Analytics nodes

Before upgrading DSE Analytics nodes:

1. DSE versions earlier than 5.1 use an older version of Spark and applications written using that version (1.6) may not be compatible with Spark 2.2. You must recompile all DSE 5.0 Scala Spark applications against Scala 2.11 and use only Scala 2.11 third-party libraries.
   Important: Changing the dse-spark-dependencies in your build files is not sufficient to change the compilation target. See the example projects for how to set up your build files.
2. Spark applications should use dse:// URLs instead of spark://spark_master_IP:Spark_RPC_port_number URLs, as described in Specifying Spark URLs.
3. Cassandra File System (CFS) is removed. Remove the cfs and cfs_archive keyspaces before upgrading. See the From CFS to DSEFS blog post and the Copying data from CFS to DSEFS documentation for more information.

   DROP KEYSPACE cfs

   DROP KEYSPACE cfs_archive

4. If DSEFS is enabled, copy CFS hivemetastore directory to dse:

   DSE_HOME/bin/dse hadoop fs -cp cfs://node_ip_address/user/spark/warehouse/ dsefs://node_ip_address/user/spark/warehouse/

5. Modify calls to setMaster and setAppName.

   For example, the following code works in DSE 5.0 but will not work in DSE 5.1 or later.

   val conf = new SparkConf(true) 
   .setMaster("spark://192.168.123.10:7077") 
   .setAppName("cassandra-demo") 
   .set("cassandra.connection.host" , "192.168.123.10") // initial contact 
   .set("cassandra.username", "cassandra") 
   .set("cassandra.password", "cassandra") 
   val sc = new SparkContext(conf)

   To connect, modify the call to setMaster:

   val conf = new SparkConf(true)
   .appName("cassandra-demo")
   .master("dse://192.168.123.10:7077")
   .set("cassandra.connection.host" , "192.168.123.10") // initial contact 
   .set("cassandra.username", "cassandra") 
   .set("cassandra.password", "cassandra") 
   val sc = new SparkContext(conf)

Preparing to upgrade

Follow these steps to prepare each node for the upgrade:

1. Upgrade to the latest patch release on your current version. Fixes included in the latest patch release can simplify the upgrade process.
   Get the current DSE version:

   bin/dse -v
   current_dse_version

2. Familiarize yourself with the changes and features in the new release:
   • DataStax Enterprise 6.0 release notes.
   • General upgrading advice for any version. Be sure to read NEWS.txt all the way back to your current version.
   • DataStax Enterprise changes in CHANGES.txt.
   • DataStax driver changes.
3. Before upgrading, be sure that each node has adequate free disk space.
   Determine current DSE data disk space usage:

   sudo du -sh /var/lib/cassandra/data/
   3.9G	/var/lib/cassandra/data/

   Determine available disk space:

   sudo df -hT /
   Filesystem     Type  Size  Used Avail Use% Mounted on
   /dev/sda1      ext4   59G   16G   41G  28% /

   Important: The required space depends on the compaction strategy. See Disk space
4. Replace ITriggers and custom interfaces.

   All custom implementations, including the following interfaces, must be replaced with supported implementations when upgrading to DSE 6.x:

   • The org.apache.cassandra.triggers.ITrigger interface was modified from augment to augmentNonBlocking for non-blocking internal architecture. Updated trigger implementations must be provided on upgraded nodes. If unsure, drop all existing triggers before upgrading. To check for existing triggers:

     SELECT * FROM system_schema.triggers;

     DROP TRIGGER trigger_name ON keyspace_name.table_name;

   • The org.apache.cassandra.index.Index interface was modified to comply with the core storage engine changes. Updated implementations are required. If unsure, drop all existing custom secondary indexes before upgrading, except DSE Search indexes, which do not need to be replaced. To check for existing indexes:

     SELECT * FROM system_schema.indexes;

     DROP INDEX index_name;

   • The org.apache.cassandra.cql3.QueryHandler, org.apache.cassandra.db.commitlog.CommitLogReadHandler, and other extension points have been changed. See QueryHandlers.
   Tip: For help contact the DataStax Services team.
5. Support for Thrift-compatible tables (COMPACT STORAGE) is dropped. Before upgrading, migrate all tables that have COMPACT STORAGE to CQL table format:

   cqlsh -e 'DESCRIBE FULL SCHEMA;' > schema_file

   cat schema_file | while read -d $';\n' line ; do
     if echo "$line"|grep 'COMPACT STORAGE' 2>&1 > /dev/null ; then
       TBL="`echo $line|sed -e 's|^CREATE TABLE \([^ ]*\) .*$|\1|'`"
       if echo "$TBL"|egrep -v '^system' 2>&1 > /dev/null; then
         echo "ALTER TABLE $TBL DROP COMPACT STORAGE;" >> schema-drop-list
       fi
     fi
   done

   cqlsh -f schema-drop-list

   Note: The script above dumps the compete DSE schema to schema_file, uses grep to find lines containing COMPACT STORAGE, and then writes only those table names to schema-drop-list along with the required ALTER TABLE commands. The schema-drop-list file is then read by cqlsh which runs the ALTER TABLE commands contained therein.
   Warning: DSE will not start if tables using COMPACT STORAGE are present.
6. If audit logging is configured to use CassandraAuditWriter, run these CQL commands as superuser on DSE 5.0 nodes:

   ALTER TABLE dse_audit.audit_log ADD authenticated text;

   ALTER TABLE dse_audit.audit_log ADD consistency text

   Ensure that the entire cluster has schema agreement:

   nodetool describecluster
   Cluster Information:
   	Name: Test Cluster
   	Snitch: com.datastax.bdp.snitch.DynamicEndpointSnitch
   	DynamicEndPointSnitch: enabled
   	Partitioner: org.apache.cassandra.dht.Murmur3Partitioner
   	Schema versions:
   		0fffd971-b7a4-33ae-859d-8ca792cd2852: [10.116.138.23]

   If there are any schema discrepancies, restart the nodes in question and rerun nodetool describecluster until there is only one schema version in the output.

7. Upgrade the SSTables on each node to ensure that all SSTables are on the current version:

   nodetool upgradesstables

   Warning: Failure to upgrade SSTables when required results in a significant performance impact and increased disk usage.

   Tip: Use the --jobs option to set the number of SSTables that upgrade simultaneously. The default setting is 2, which minimizes impact on the cluster. Set to 0 to use all available compaction threads. DataStax recommends running the upgradesstables command on one node at a time or when using racks, one rack at a time.

   If the SSTables are already on the current version, the command returns immediately and no action is taken.

8. Ensure that keyspace replication factors are correct for your environment:

   cqlsh --execute "DESCRIBE KEYSPACE keyspace-name;" | grep "replication"
   CREATE KEYSPACE keyspace-name WITH replication = {'class': 'NetworkTopologyStrategy, 'replication_factor': '3'}  AND durable_writes = true;

   • Check the keyspace replication factor for analytics keyspaces.
   • Check the keyspace replication factor for system_auth and dse_security keyspaces.
9. Verify the Java runtime version and upgrade to the recommended version.

   java -version
   openjdk version "1.8.0_222"
   OpenJDK Runtime Environment (build 1.8.0_222-8u222-b10-1ubuntu1~18.04.1-b10)
   OpenJDK 64-Bit Server VM (build 25.222-b10, mixed mode)

   • Recommended: OpenJDK 8 (1.8.0_151 minimum)
     Note: Recommendation changed due to the end of public updates for Oracle JRE/JDK 8. See Oracle Java SE Support Roadmap.
   • Supported: Oracle Java SE 8 (JRE or JDK) (1.8.0_151 minimum)
   Important: Although Oracle JRE/JDK 8 is supported, DataStax does more extensive testing on OpenJDK 8.
10. Run nodetool repair to ensure that data on each replica is consistent with data on other nodes:

    nodetool repair -pr

11. Install the libaio package for optimal performance.
    RHEL platforms:

    sudo yum install libaio

    Debian:

    sudo apt-get install libaio1

12. Back up any customized configuration files since they may be overwritten with default values during installation of the new version.
    Tip: If you backed up your installation using instructions in Backing up and restoring DSE, your original configuration files are included in the archive.

Upgrade steps

1. Flush the commit log of the current installation:

   nodetool drain

2. DSE Analytics nodes only: Kill all Spark worker processes:

   for pid in $(jps | grep Worker | awk '{print $1}'); do kill -9 $pid; done

3. Stop the node:
   • Package installations:

     sudo service dse stop

   • Tarball installations:

     installation_dir/bin/dse cassandra-stop

4. Use the appropriate method to install the new product version on a supported platform:
   • Package installer using YUM
   • Package installer using APT
   • Binary tarball installer
   Warning: Install the new product version using the same installation type that is on the system, otherwise problems might result.
5. To configure the new product version:
   1. The upgrade installs a new server.xml for Tomcat 8. If your existing server.xml has custom connectors, migrate those connectors to the new server.xml before starting the upgraded nodes.
   2. Compare changes in the new configuration files with the backup configuration files after the upgrade but before restarting, remove deprecated settings, and update any new settings if required.
      Warning: Do not simply replace new configuration files with old. Rather compare your old files to the new files and make any required changes.
      Tip: Use the DSE yaml_diff tool to compare backup YAML files with the upgraded YAML files:

      cd /usr/share/dse/tools/yamls

      ./yaml_diff path/to/yaml-file-old path/to/yaml-file-new
      ...
       CHANGES 
      =========
      authenticator:
      - AllowAllAuthenticator
      + com.datastax.bdp.cassandra.auth.DseAuthenticator
      
      authorizer:
      - AllowAllAuthorizer
      + com.datastax.bdp.cassandra.auth.DseAuthorizer
      
      roles_validity_in_ms:
      - 2000
      + 120000
      ...

      cassandra.yaml changes

      Table 1. RPC settings

      Deprecated cassandra.yaml settings:

      rpc_address rpc_broadcast_address

      Replacement settings:

      native_transport_address native_transport_broadcast_address

      dse.yaml changes

      Table 2. Shard transport

      Deprecated dse.yaml settings:

      shard_transport_options: type: html netty_server_port: 8984 netty_server_acceptor_threads: netty_server_worker_threads: netty_client_worker_threads: netty_client_max_connections: netty_client_request_timeout: http_shard_client_conn_timeout: 0 http_shard_client_socket_timeout: 0

      Replacement settings:

      shard_transport_options: netty_client_request_timeout: 60000 Remove any other options under shard_transport_options.

      Table 3. DSE Search node changes

      Deprecated dse.yaml settings:

      Remove these options: cql_solr_query_executor_threads enable_back_pressure_adaptive_nrt_commit max_solr_concurrency_per_core solr_indexing_error_log_options Warning: DSE 6.x will not start with those options present.

      Table 4. DSE Analytics node changes

      Changed dse.yaml settings:

      The dsefs_enabled: settings are commented out. To enable DSEFS, uncomment all dsefs_options: settings.

6. When upgrading DSE to versions earlier than 5.1.16, 6.0.8, or 6.7.4 inclusive, if any tables are using DSE Tiered Storage, remove all txn_compaction log files from second-level tiers and lower. For example, given the following dse.yaml configuration, remove txn_compaction log files from /mnt2 and /mnt3 directories:

   tiered_storage_options:
       strategy1:
           tiers:
               - paths:
                   - /mnt1
               - paths:
                   - /mnt2
               - paths:
                   - /mnt3

   The following example removes the files using the find command:

   find /mnt2 -name "*_txn_compaction_*.log" -type f -delete &&
   find /mnt3 -name "*_txn_compaction_*.log" -type f -delete

   Warning: Failure to complete this step may result in data loss.
7. DSE Analytics nodes only: If your DSE 5.0 clusters had any datacenters running in Analytics Hadoop mode and if the DseSimpleSnitch was used, you must use one of these options for starting nodes in your cluster. Select the option that works best for your environment:
   • For nodes in the datacenters running in Analytics Hadoop mode, start those nodes in Spark mode.
   • Add the start-up parameter -Dcassandra.ignore_dc=true for each node, then start in cassandra mode. This flag is required only once after upgrading. Subsequent restarts do not use this flag. You can leave the flag in the configuration file or remove it after the first restart of each node.
8. Start the node.
   • Package installations:

     sudo service dse start

   • Tarball installations:

     installation_dir/bin/dse cassandra

9. Verify that the upgraded datacenter names match the datacenter names in the keyspace schema definition:
   • Get the node's datacenter name:

     nodetool status | grep "Datacenter"
     Datacenter: datacenter-name

   • Verify that the node's datacenter name matches the datacenter name for a keyspace:

     cqlsh --execute "DESCRIBE KEYSPACE keyspace-name;" | grep "replication"
     CREATE KEYSPACE keyspace-name WITH replication = {'class': 'NetworkTopologyStrategy, 'datacenter-name': '3'};

10. Review the logs for warnings, errors, and exceptions:

    grep -w 'WARNING\|ERROR\|exception' /var/log/cassandra/*.log

    Warnings, errors, and exceptions are frequently found in the logs when starting an upgraded node. Some of these log entries are informational to help you execute specific upgrade-related steps. If you find unexpected warnings, errors, or exceptions, contact DataStax Support.

    Tip: Non standard log locations are configured in dse-env.sh.
11. Repeat the upgrade process on each node in the cluster following the recommended order.
12. After the entire cluster upgrade is complete: upgrade the SSTables on one node at a time or, when using racks, one rack at a time.
    Warning: Failure to upgrade SSTables when required results in a significant performance impact and increased disk usage and possible data loss. Upgrading is not complete until the SSTables are upgraded.

    nodetool upgradesstables

    Tip: Use the --jobs option to set the number of SSTables that upgrade simultaneously. The default setting is 2, which minimizes impact on the cluster. Set to 0 to use all available compaction threads. DataStax recommends running the upgradesstables command on one node at a time or when using racks, one rack at a time.
    Important: You can run the upgradesstables command before all the nodes are upgraded as long as you run the command on only one node at a time or when using racks, one rack at a time. Running upgradesstables on too many nodes at once will degrade performance.

General post upgrade steps

After all nodes are upgraded:

1. If you use the OpsCenter Repair Service, turn on the Repair Service.
2. If you encounter serialization-header errors, stop the node and repair them using the sstablescrub -e option:

   sstablescrub -e fix-only keyspace table

   For more details on serialization-header errors and repairs, see DSE 5.0 SSTables with UDTs corrupted after upgrading to DSE 5.1, 6.0, or 6.7

3. Drop the following legacy tables, if they exist: system_auth.users, system_auth.credentials, and system_auth.permissions:

   DROP TABLE IF EXISTS system_auth.users;

   DROP TABLE IF EXISTS system_auth.credentials;

   DROP TABLE IF EXISTS system_auth.permissions;

4. Review your security configuration. To use security, enable and configure DSE Unified Authentication.

   In cassandra.yaml, the default authenticator is DseAuthenticator and the default authorizer is DseAuthorizer. Other authenticators and authorizers are no longer supported. Security is disabled in dse.yaml by default.

5. TimeWindowCompactionStrategy (TWCS) is set only on new dse_perf and dse_audit_log tables. Manually change dse_perf and dse_audit_log tables that were created in earlier releases to use TWCS. For example:

   ALTER TABLE dse_perf.read_latency_histograms WITH COMPACTION={'class':'TimeWindowCompactionStrategy'};

   ALTER TABLE dse_audit_log.audit_log WITH COMPACTION={'class':'TimeWindowCompactionStrategy'};

Post upgrade steps for DSE Search nodes

For DSE Search nodes:

1. The appender SolrValidationErrorAppender and the logger SolrValidationErrorLogger are no longer used and may safely be removed from logback.xml.
2. In contrast to earlier versions, DataStax recommends accepting the new default value of 1024 for back_pressure_threshold_per_core in dse.yaml. See Configuring and tuning indexing performance.
3. If SpatialRecursivePrefixTreeFieldType (RPT) is used in the search schema, replace the units field type with a suitable (degrees, kilometers, or miles) distanceUnits, and then verify that spatial queries behave as expected.
4. If you are using HTTP API writes with JSON documents (deprecated), a known issue may cause the auto-generated solrconfig.xml to have invalid requestHandler for JSON core creations. If necessary, change the auto generated solrconfig.xml:

   <requestHandler name="/update/json" class="solr.UpdateUpdateRequestHandler" startup="lazy"/>

   to

   <requestHandler name="/update/json" class="solr.UpdateRequestHandler" startup="lazy"/>

   Tip: For more information on solrconfig.xml, see https://lucene.apache.org/solr/guide/7_6/configuring-solrconfig-xml.html.
5. Do a full reindex of all encrypted search indexes on each node in your cluster:

   dsetool reload_core keyspace_name.table_name distributed=false reindex=true deleteAll=true 

   Important: Plan sufficient time after the upgrade is complete to reindex with deleteAll=true on all nodes.

Post upgrade steps for DSE Analytics nodes

For DSE Analytics nodes:

1. Spark Jobserver uses DSE custom version 8.0.4.45. Ensure that applications use the compatible Spark Jobserver API from the DataStax repository.
2. If you are using Spark SQL tables, migrate them to the new Hive metastore format:

   dse client-tool spark metastore migrate --from 5.0.0 --to 6.0.0

Warning messages during and after upgrade

You can ignore some log messages that occur during and after an upgrade:

• When upgrading nodes with DSE Advanced Replication, there might be some WriteTimeoutExceptions during a rolling upgrade while mixed versions of nodes exist. Some write consistency limitations apply while mixed versions of nodes exist. The WriteTimeout issue is resolved after all nodes are upgraded.
• Some gremlin_server properties in earlier versions of DSE are no longer required. If properties exist in the dse.yaml file after upgrading, logs display warnings similar to:

  WARN  [main] 2017-08-31 12:25:30,523 GREMLIN DseWebSocketChannelizer.java:149 - Configuration for the org.apache.tinkerpop.gremlin.driver.ser.GraphSONMessageSerializerGremlinV1d0 serializer in dse.yaml overrides the DSE default - typically it is best to allow DSE to configure these.

  You can ignore these warnings or modify dse.yaml so that only the required gremlin server properties are present.

Locking DSE package versions

If you have upgraded a DSE package installation, you can prevent future unintended upgrades.

RHEL yum installations

sudo yum versionlock clear

For details on the versionlock command, see http://man7.org/linux/man-pages/man1/yum-versionlock.1.html.

Debian apt-get installations

sudo apt-mark hold dse-*

sudo apt-mark unhold dse-*

For details on the apt-mark command, see http://manpages.ubuntu.com/manpages/bionic/man8/apt-mark.8.html.