23. Upgrade Guide¶
This section contains general information on version upgrades, as well as version-specific changes that may affect the end user.
23.1. Compatibility Across Versions¶
23.1.1. Semantic Versioning¶
Starting with 2.0.0, GeoMesa is adhering to semantic versioning. Essentially, releases are broken down into major, minor and patch versions. For a version number like 2.0.1, 2 is the major version, 2.0 is the minor version, and 2.0.1 is the patch version.
Major version updates contain breaking public API changes. Minor version updates contain new or updated functionality that is backwards-compatible. Patch versions contain only backwards-compatible bug fixes. This delineation allows users to gauge the potential impact of updating versions.
Warning
Versions prior to 2.0.0 do not follow semantic versioning, and each release should be considered a major version change.
23.1.2. Compatibility¶
Semantic versioning makes API guarantees, but GeoMesa has several compatibility vectors to consider:
23.1.2.1. Data Compatibility¶
Data compatibility refers to the ability to read and write data written with older versions of GeoMesa. GeoMesa fully supports data written with version 1.2.2 or later, and mostly supports data written with 1.1.0 or later.
Note that although later versions can read earlier data, the reverse is not necessarily true. Data written with a newer client may not be readable by an older client.
Data written with 1.2.1 or earlier can be migrated to a newer data format. See Upgrading Existing Indices for details (note that this functionality is currently only implemented for Accumulo).
23.1.2.2. API Compatibility¶
The GeoMesa public API is not currently well defined, so API compatibility is only guaranteed at the GeoTools DataStore level. In the future, GeoMesa will clearly indicate which classes and methods are part of the public API. Non-public classes may change without warning between minor versions.
23.1.2.3. Binary Compatibility¶
Binary compatibility refers to the ability to have different GeoMesa versions in a single environment. An environment may be a single process or span multiple servers (for example an ingest pipeline, a query client, and an analytics platform). For data stores with a distributed component (HBase and Accumulo), the environment includes both the client and the distributed code.
GeoMesa requires that all JARs in an environment are the same minor version, and that all JARs within a single JVM are the same patch version.
23.1.2.4. Dependency Compatibility¶
Dependency compatibility refers to the ability to update GeoMesa without updating other components (e.g. Accumulo, HBase, Hadoop, Spark, GeoServer, etc). Generally, GeoMesa supports a range of dependency versions (e.g. Accumulo 2.0 to 2.1). Spark versions are more tightly coupled, due to the use of private Spark APIs.
23.1.2.5. Pre-Release Code¶
GeoMesa sometimes provides modules in an alpha or beta state. Although they share the overall GeoMesa version number, such modules should be considered pre-1.0, and are not guaranteed to provide any forwards or backwards compatibility across versions. Pre-release modules will be clearly marked in the documentation.
23.1.3. Compatibility Matrix¶
Major |
Minor |
Patch |
|
---|---|---|---|
Data |
Y |
Y |
Y |
API |
N |
Y |
Y |
Binary |
N |
N |
Y |
Dependencies |
N |
N |
Y |
23.2. Version 5.1.0 Upgrade Guide¶
23.2.1. Version Compatibility¶
GeoMesa 5.1.x is generally compatible with versions 5.0.x, 4.0.x and 3.5.x across different environments. This means that it is possible to upgrade in parts; i.e. upgrade GeoServer to 5.1.0 but keep NiFi at 3.5.2. Please note that previously deprecated functionality (see below) may no longer work once any part of the environment is upgraded to 5.1.0.
23.2.2. Dependency Version Upgrades¶
The following dependencies have been upgraded:
accumulo
2.1.2
->2.1.3
aircompressor
0.25
->0.27
arrow
15.0.2
->17.0.0
avro
1.11.3
->1.11.4
aws-java-sdk
1.12.625
->1.12.735
com.fasterxml.jackson
2.16.1
->2.17.2
commons-codec
1.16.0
->1.17.1
commons-io
2.15.1
->2.16.1
commons-lang3
3.14.0
->3.15.0
commons-logging
1.2
->1.3.3
commons-text
1.11.0
->1.12.0
failureaccess
1.0.1
->1.0.2
flatbuffers
23.5.26
->24.3.25
geotools
30.2
->32.0
guava
32.0.0-jre
->33.2.1-jre
javax.measure
2.1.2
->2.2
jts
1.19.0
->1.20.0
micrometer
1.11.1
->1.13.4
netty
4.1.106.Final
->4.1.114.Final
opentelemetry
1.27.0
->1.34.1
snakeyaml
2.0
->2.2
23.2.3. Audit Logger Changes¶
The package for configuring audit logging has changed from org.locationtech.geomesa.utils.audit
to
org.locationtech.geomesa.index.audit
. See Query Auditing for additional details on audit logging.
23.3. Version 5.0.0 Upgrade Guide¶
23.3.1. Version Compatibility¶
GeoMesa 5.0.x is generally compatible with versions 4.0.x and 3.5.x across different environments. This means that it is possible to upgrade in parts; i.e. upgrade GeoServer to 5.0.0 but keep NiFi at 3.5.2. Please note that previously deprecated functionality (see below) may no longer work once any part of the environment is upgraded to 5.0.0.
23.3.2. Java Version¶
GeoMesa no longer supports Java 8. The Java ecosystem is slowly moving on from Java 8, and it is no longer possible to support Java 8 while staying up-to-date with dependencies and security patches. GeoMesa now supports Java versions 11 and 17.
23.3.3. GeoTools Upgrade¶
GeoTools has been updated to version 30.2. This version contains
extensive package changes. In addition to
the Ant migration script provided by GeoTools, GeoMesa provides a sed
script to help migrate Scala projects.
Use the following bash
script to upgrade a project from an earlier version of GeoTools to version 30:
# run the following from the root directory of your project:
wget 'https://raw.githubusercontent.com/locationtech/geomesa/geomesa-5.0.0/build/remove-opengis.xml'
ant -f remove-opengis.xml
# for Scala projects, also run:
wget 'https://raw.githubusercontent.com/locationtech/geomesa/geomesa-5.0.0/build/gt-30-api-changes.sed'
find . -name "*.scala" -not -exec grep -q "import org.geotools.api.data._" {} \; -exec sed -E -i -f gt-30-api-changes.sed {} \;
23.3.4. HBase Versions¶
Support for HBase 1.4 has been dropped, as HBase 1.4 does not support Java 11.
23.3.5. Dependency Version Upgrades¶
The following dependencies have been upgraded:
accumulo
2.0.1
->2.1.2
aircompressor
0.21
->0.25
antlr
4.7.1
->4.7.2
arrow
11.0.0
->15.0.2
avro
1.11.1
->1.11.3
aws-java-sdk
1.11.179
->1.12.625
caffeine
2.9.3
->3.1.8
cassandra-driver
3.11.3
->3.11.5
com.clearspring.analytics
2.9.2
->2.9.8
com.fasterxml.jackson
2.14.1
->2.16.1
com.jayway.jsonpath
2.7.0
->2.9.0
com.typesafe:config
1.4.2
->1.4.3
commons-cli
1.2
->1.6.0
commons-codec
1.15
->1.16.0
commons-compress
1.22
->1.26.0
commons-configuration2
2.5
->2.10.1
commons-csv
1.9.0
->1.10.0
commons-dbcp2
2.6.0
->2.11.0
commons-io
2.8.0
->2.15.1
commons-lang3
3.8.1
->3.14.0
commons-pool2
2.6.1
->2.12.0
commons-text
1.10.0
->1.11.0
confluent
6.2.7
->6.2.9
cqengine
3.0.0
->3.6.0
org.apache.curator
4.3.0
->5.6.0
geotools
28.2
->30.2
gson
2.10
->2.10.1
guava
30.1-jre
->32.0.0-jre
hadoop
2.10.2
->3.4.0
hbase
2.5.2
->2.5.8-hadoop3
httpclient
4.5.13
->4.5.14
httpcore
4.4.15
->4.4.16
io.netty
4.1.85.Final
->4.1.106.Final
javax.measure:unit-api
2.0
->2.1.2
jcommander
1.78
->1.82
jedis
4.3.1
->5.1.0
kafka
2.8.2
->3.7.0
kryo
4.0.2
->4.0.3
orc
1.8.2
->1.9.3
org.eclipse.emf.common
2.15.0
->2.29.0
org.eclipse.emf.ecore
2.15.0
->2.35.0
org.eclipse.emf.ecore.xmi
2.15.0
->2.36.0
org.ehcache:sizeof
0.4.0
->0.4.3
parquet
1.12.3
->1.13.1
parboiled
1.3.1
->1.4.1
postgresql
42.5.1
->42.7.2
pureconfig
0.17.2
->0.17.4
saxon
11.4
->12.4
scala
2.12.17
->2.12.18
scala-parser-combinators
2.1.1
->2.3.0
scala-xml
2.1.0
->2.2.0
sedona
1.3.1-incubating
->1.5.0
si.uom
2.0.1
->2.1
spark
3.3.1
->3.5.0
spring-security
5.8.0
->5.8.11
systems.uom
2.0.2
->2.1
tech.units:indriya
2.0.2
->2.2
tech.uom.lib
2.0
->2.1
xmlresolver
4.4.3
->5.2.2
zookeeper
3.5.10
->3.9.2
23.3.6. Deprecated Classes and Methods¶
The following classes have been deprecated and will be removed in a future version:
org.locationtech.geomesa.kafka.confluent.SchemaParser.GeoMesaAvroDeserializableEnumProperty
23.3.7. Removed Modules¶
The geomesa-metrics-ganglia
module has been removed, and Ganglia is no longer supported as a destination for
metrics.
As part of dropping support for HBase 1.x, the geomesa-hbase-distributed-runtime-hbase1
,
geomesa-hbase-server-hbase1
and geomesa-hbase-spark-runtime-hbase1
modules have been removed.
23.3.8. GeoMesa Convert OSM¶
The geomesa-convert-osm
module has been relocated to https://github.com/geomesa/geomesa-convert-osm.
23.3.9. Partitioned PostGIS Prepared Statements¶
If not specified, prepared statements now default to true
in the partitioned PostGIS data store. Prepared
statements are generally faster on insert, and some attribute types (such as list-type attributes) are only
supported through prepared statements.
23.4. Version 4.0.0 Upgrade Guide¶
23.4.1. Version Compatibility¶
GeoMesa 4.0.0 is focused on upgrading dependency versions and removing deprecated features, and only contains a few new features. To make upgrading easier, version 4.0.x is generally compatible with version 3.5.x across different environments. This means that it is possible to upgrade in parts; i.e. upgrade GeoServer to 4.0.0 but keep NiFi at 3.5.1. Please note that previously deprecated functionality (see below) may no longer work once any part of the environment is upgraded to 4.0.0.
23.4.2. Scala Versions¶
Scala 2.11 support has been removed, and Scala 2.13 support has been added (in addition to the existing Scala 2.12 support).
23.4.3. GeoTools/GeoServer Versions¶
GeoTools has been upgraded from 23.3
to 28.2
. GeoServer has been upgrade from 2.17.3
to 2.22.2
.
JTS has been upgraded from 1.17.0
to 1.19.0
.
As part of this upgrade, various GeoTools methods have changed in incompatible ways. Several classes, in
particular Query
and SimpleFeatureBuilder
, have changed from accepting arrays to using varargs (variable
arguments). Additionally, the various DataStore
methods, such as DataStoreFinder
, now require
Map<String, ?>
instead of Map<String, ? extends Serializable>
.
23.4.4. Dependency Version Upgrades¶
The following high-level dependencies have been upgraded:
Apache Hadoop
2.8.5
->2.10.2
Apache Spark
2.4.7
->3.3.1
Apache Accumulo
2.0.0
->2.0.1
Apache HBase
1.4.12
->1.4.14
,2.2.3
->2.5.2
Apache Kafka
2.1.1
->2.8.2
Apache Arrow
0.16.0
->11.0.0
Apache Avro
1.8.2
->1.11.1
Apache Parquet
1.9.0
->1.12.3
Apache Orc
1.5.4
->1.8.2
Jedis
3.0.1
->4.3.1
Confluent
5.1.0
->6.2.7
Kryo
3.0.3
->4.0.2
Typesafe Config
1.3.3
->1.4.2
EJML
0.34
->0.41
Saxon
9.7.0-20
->11.4
For a full changelist of all dependencies, see the diff here.
23.4.5. Minimum Library Versions¶
Support for older versions of some libraries has been dropped. The following minimum versions are now required:
Apache Accumulo
2.0.0
(dropped support for1.7
,1.8
,1.9
, and1.10
)Apache Spark
3.0
(dropped support for2.4
)Apache Kafka
2.0
(dropped support for0.10
,0.11
,1.0
, and1.1
)
23.4.6. Removal of Deprecated Modules¶
The following deprecated modules were removed:
geomesa-bigtable
geomesa-kudu
geomesa-stream
geomesa-geojson
geomesa-web
geomesa-feature-nio
geomesa-convert-metrics-cloudwatch
geomesa-convert-metrics-ganglia
geomesa-convert-metrics-graphite
In addition, various other deprecated classes and methods were removed. To identify any code that requires changes, build your project against GeoMesa 3.5.1 and note any deprecation warnings generated by the compiler.
23.4.7. Package Changes¶
The following packages were moved, renamed or split in order to support Java 11 modules:
org.locationtech.geomesa.jobs.accumulo
->org.locationtech.geomesa.accumulo.jobs
org.locationtech.geomesa.spark.accumulo
->org.locationtech.geomesa.accumulo.spark
org.locationtech.geomesa.spark.hbase
->org.locationtech.geomesa.hbase.spark
org.locationtech.geomesa.arrow.vector
(partial) ->package org.locationtech.geomesa.arrow.jts
org.locationtech.geomesa.parquet
->org.locationtech.geomesa.fs.storage.parquet
org.locationtech.geomesa.process
(partial) ->org.locationtech.geomesa.process.wps
23.4.8. GeoMesa NiFi Changes¶
GeoMesa NiFi is now built against NiFi 1.19.1. The GeoMesa NARs and JARs have been renamed to include the Scala
version (i.e. geomesa-datastore-services-nar_2.12-4.0.0.nar
). The datastore-specific processors (e.g.
PutGeoMesaHBase
) have been removed in favor of the generic processors (e.g. PutGeoMesa
). The
recommended upgrade path is to first upgrade to GeoMesa NiFi 3.5.1, and replace all the datastore-specific
processors in the flow. This will ensure that the flow is still valid after upgrading to GeoMesa NiFi 4.0.0.
The geomesa-accumulo2-nar
has been replaced with geomesa-accumulo20-nar
, and there is an additional
geomesa-accumulo21-nar
for Accumulo 2.1 support.
23.4.9. Scan Range Changes¶
GeoMesa will now generate a more accurate number of ranges based on geomesa.scan.ranges.target
. Users
who have configured this property should verify their setting is still appropriate, especially if set to a
large value. Setting geomesa.scan.ranges.recurse
to 7
will restore the old behavior if needed.
23.4.10. Partitioned PostGIS Query Changes¶
GeoMesa will now ignore queries that encompass the entire world in the partitioned PostGIS data store. For more information, refer to Configuring Filter Optimizations.
23.5. Version 3.5.0 Upgrade Guide¶
23.5.1. Removal of Log4j¶
GeoMesa has been updated to ban all usages of log4j
, to mitigate various CVEs present in that framework. In
most cases, GeoMesa uses slf4j
, and delegates to the logging framework of the runtime environment.
However, this change impacts the JARs bundled with the command-line tools, which now ship with
reload4j instead. Other environments using GeoMesa (i.e. GeoServer) must be
hardened independently.
23.5.2. Kafka Serialization¶
The GeoMesa Kafka data store now supports a new serialization format, avro-native
. This format uses Avro
array and map types for List
and Map
type attributes, which makes it easier to read with standard Avro
tools. Note that GeoMesa versions before 3.5.0 will not be able to consume topics written in this format.
23.5.3. Deprecated Modules¶
The following modules have been deprecated, and will be removed in a future version:
GeoMesa Bigtable
23.5.4. Dependency Updates¶
org.slf4j:slf4j-api:
1.7.25
->1.7.36
com.google.code.gson:gson:
2.8.1
->2.8.9
23.6. Version 3.3.0 Upgrade Guide¶
23.6.1. Scala Versions¶
GeoMesa NiFi NARs now ship with Scala 2.12 by default. This should be largely transparent to end-users, however any custom GeoMesa converter JARs used in NiFi and written in Scala will need to be compiled with Scala 2.12.
23.7. Version 3.2.0 Upgrade Guide¶
23.7.1. Scala Versions¶
GeoMesa now supports Scala 2.12. Scala 2.11 support has been deprecated and will be removed in a future version.
23.7.2. Spark Versions¶
GeoMesa now supports Spark 3.0 and 3.1. Support for Spark 2.3 and 2.4 has been deprecated and will be removed in a future version.
23.7.3. Dependency Updates¶
com.fasterxml.jackson:
2.9.10
->2.12.1
23.7.4. FileSystem Data Store Metadata Format Change¶
The metadata format for the FileSystem data store has been changed to support storing arbitrary key-value pairs. Any data written with version 3.2.0 or later will not be readable by earlier GeoMesa versions.
23.7.5. Lambda Data Store Binary Distribution Change¶
The Lambda data store binary distribution no longer contains the geomesa-accumulo-distributed-runtime
JAR.
This JAR is available in the Accumulo data store binary distribution.
23.7.6. StrategyDecider API Update¶
The org.locationtech.geomesa.index.planning.StrategyDecider
API has been extended with an optional
GeoMesaStats
argument that enables stat-based strategy decisions. The old API method has been deprecated
and will be removed in a future version.
23.7.7. Deprecated Modules¶
The following modules have been deprecated, and will be removed in a future version:
GeoMesa Kudu
GeoMesa Streaming (Camel integration)
GeoMesa Web
GeoMesa GeoJSON
23.7.8. Deprecated Arrow Output Options¶
The Arrow output options for providing cached dictionaries, returning multiple logical files, and running queries in two passes have been deprecated and will be removed in the next major version.
23.8. Version 3.1.0 Upgrade Guide¶
23.8.1. Maven Type of GeoServer Plugin Modules¶
All of the geomesa-*-gs-plugin
artifacts have been changed to <type>pom</type>
, since they did not
contain any code. Any pom.xml
references to them should be updated to use the correct type.
23.8.2. Avro Version Update¶
The version of Avro used by GeoMesa has been updated from 1.7.5 to 1.8.2. Avro serialized files should be compatible between versions, but compile and runtime dependencies may need to be updated if a project uses Avro and references GeoMesa.
23.8.3. Query Interceptors API Change¶
The query interceptors API has been expanded to support query guards. Any existing query interceptor implementations will continue to work, but may need to be re-compiled against the GeoMesa 3.1.0.
23.8.4. Dependency Updates¶
GeoTools:
23.0
->23.3
Avro:
1.7.5
->1.8.2
23.9. Version 3.0.0 Upgrade Guide¶
23.9.1. Removal of Deprecated Modules and Classes¶
GeoMesa 3.0.0 removes several lesser-used modules, as well as various obsolete classes and methods.
The modules removed are: geomesa-accumulo/geomesa-accumulo-compute
,
geomesa-accumulo/geomesa-accumulo-native-api
, geomesa-accumulo/geomesa-accumulo-raster-distributed-runtime
,
geomesa-accumulo/geomesa-accumulo-raster
, geomesa-accumulo/geomesa-accumulo-security
,
geomesa-accumulo/geomesa-accumulo-stats-gs-plugin
, geomesa-convert/geomesa-convert-scripting
,
geomesa-convert/geomesa-convert-simplefeature
, geomesa-hbase/geomesa-hbase-native-api
,
geomesa-metrics
, geomesa-native-api
, geomesa-spark/geomesa-spark-geotools
, geomesa-blobstore/*
, and
geomesa-web/geomesa-web-data
.
The classes and methods removed are detailed in GEOMESA-2284.
23.9.2. HBase 2 Support¶
GeoMesa 3.0.0 supports both HBase 1.4 and HBase 2.2. HBase 1.3 is no longer supported. HBase 2.0 and 2.1 are not officially supported, but may work in some cases.
There are now two separate modules for HBase filters and coprocessors - geomesa-hbase-distributed-runtime-hbase1
and geomesa-hbase-distributed-runtime-hbase2
. The previous geomesa-hbase-distributed-runtime
module has
been removed. Users should install the distributed runtime corresponding to their HBase installation.
Similarly, there are now two separate modules for HBase Spark support - geomesa-hbase-spark-runtime-hbase1
and
geomesa-hbase-spark-runtime-hbase2
. The previous geomesa-hbase-spark-runtime
module has been removed.
Users should use the Spark runtime corresponding to their HBase installation.
23.9.3. Accumulo 2 Support¶
GeoMesa 3.0.0 supports both Accumulo 1.9 with Hadoop 2.8 and Accumulo 2.0 with Hadoop 3. Earlier versions of Accumulo are no longer supported, but may work in some cases.
There are now two separate modules for Accumulo Spark support - geomesa-accumulo-spark-runtime-accumulo1
and
geomesa-accumulo-spark-runtime-accumulo2
. The previous geomesa-accumulo-spark-runtime
module has been removed.
Users should use the Spark runtime corresponding to their Accumulo installation.
23.9.4. NiFi Processors¶
The GeoMesa NiFi processors have been updated to NiFi 11 and split out into separate nar
files for each
supported back-end database. Additionally, there are separate nar
files for HBase 1.4/2.2 and Accumulo 1.9/2.0,
respectively. The processor classes and configurations have also changed. See GeoMesa NiFi Bundle for details.
23.9.5. Dependency Updates¶
Apache Arrow:
0.10
->0.16
23.9.6. Apache Arrow Updates¶
As part of the upgrade to Apache Arrow 0.16, the geomesa-arrow modules have been refactored to simplify memory management and allocation. Some classes have been removed, and some interfaces have changed. This may impact anyone using the geomesa-arrow modules directly.
The Arrow IPC format changed in Arrow 0.15. Older clients may not be able to read Arrow-encoded results by
default. To enabled the ‘legacy’ Arrow IPC format, set the system property geomesa.arrow.format.version
to 0.10
, or use the query hint ARROW_FORMAT_VERSION
. See Arrow Encoding for details.
23.9.7. Converter Date Functions¶
The converter functions isoDate
and isoDateTime
have been updated to match the equivalent Java
DateTimeFormatter
pattern. isoDate
has changed from yyyyMMdd
to yyyy-MM-dd
, while isoDateTime
has changed from yyyyMMdd'T'HHmmss.SSSZ
to yyyy-MM-dd'T'HH:mm:ss
. The old patterns can still be
referenced through basicDate
and basicDateTime
.
23.9.9. Accumulo Default Visibilities Removed¶
The Accumulo data store parameter geomesa.security.visibilities
have been removed. Visibilities should be set
per-feature, as described in Data Security.
23.10. Version 2.4.0 Upgrade Guide¶
23.10.1. GeoTools 21 and GeoServer 2.15¶
GeoMesa 2.4.0 is compiled against GeoTools 21.1 and GeoServer 2.15. This version of GeoTools contains package and class location changes to support Java 11. Due to the changes, GeoMesa will no longer work with older versions of GeoTools and GeoServer.
23.10.2. Configuration of Cached Statistics¶
GeoMesa 2.4.0 moves the configuration of cached stats from a data store parameter (where it has to be set every time) to the feature type user data (where it is set once at schema creation, and only changed through explicit schema updates). See Configuring Cached Statistics for more details.
Feature types that were created in prior versions will continue to behave as before, with the configuration
determined by the data store parameter each time. The configuration can be set permanently through
the updateSchema
data store method or the update-schema CLI command.
23.10.3. Indexing of Timestamp Attributes¶
GeoMesa 2.4.0 fully supports indexing of java.sql.Timestamp
attributes. In previous versions, timestamp
attribute indices were not officially supported, however they did work in some cases. Any data that was written to
a timestamp attribute index with an older version will no longer be readable by GeoMesa 2.4.0. To migrate old
data, truncate the index table first, then re-write all existing records:
import org.geotools.data.{DataStoreFinder, Query, Transaction}
import org.locationtech.geomesa.index.geotools.GeoMesaDataStore
import org.locationtech.geomesa.utils.geotools.FeatureUtils
val params: java.util.Map[String, String] = ??? // data store connection parameters
val ds: GeoMesaDataStore[_] = DataStoreFinder.getDataStore(params).asInstanceOf[GeoMesaDataStore[_]]
val typeName: String = ??? // simple feature type name to update
val timestamps: Seq[String] = ??? // names of any timestamp-type attributes
val indices = ds.manager.indices(ds.getSchema(typeName)).filter(_.attributes.headOption.exists(timestamps.contains))
val writer = ds.getIndexWriterAppend(typeName, indices)
val features = ds.getFeatureReader(new Query(typeName), Transaction.AUTO_COMMIT)
try {
while (features.hasNext) {
FeatureUtils.write(writer, features.next(), useProvidedFid = true)
}
} finally {
features.close()
writer.close()
}
23.10.4. NiFi Processor Changes¶
The GeoMesa NiFi processors have been refactored to support NiFi nar inheritance and as a first step towards supporting Java 11. Any existing processors will continue to work under the older version, as long as you don’t delete the old GeoMesa nar file. However, you will need to create new processors in order to upgrade to 2.4.0.
23.10.5. Distribution of Installation Bundles¶
As of GeoMesa 2.4.0, installation bundles (binary distribution and GeoServer plugin tar files) will no longer be hosted on Maven Central. They will continue to be available on GitHub and the Locationtech Maven Repository. Note that this only applies to large installation bundles; GeoMesa will continue to publish JAR files to Maven Central.
23.10.6. HBase GeoServer Plugin Installation¶
The GeoMesa HBase GeoServer plugin installation tar file has been updated to remove the shaded HBase client JARs. The appropriate client JARS for your HBase version now must be installed separately. See Installing GeoMesa HBase in GeoServer for details.
If desired, the shaded GeoMesa JAR is still available from Maven, as
org.locationtech.geomesa:geomesa-hbase-gs-plugin_2.11
with the classifier shaded
. However, this will likely
be removed in the next major version release.
23.11. Version 2.3.0 Upgrade Guide¶
23.11.1. Default Query Planning Type¶
GeoMesa 2.3.0 changes the default query planning type from stat-based to heuristic-based. This will only affect the Accumulo data store, as other stores have not implemented statistics. To enable stat-based query planning, refer to Query Planning Type.
23.11.2. Immutable Simple Feature Types¶
GeoMesa 2.3.0 returns immutable objects from calls to getSchema
. This allows for the re-use of SimpleFeatureType
instances, which reduces overhead. In most cases, this will have no effect on end users, however note that mutable
and immutable feature types will never be equals
when compared directly.
In order to update a schema, or if mutability is desired for some other reason, call
org.locationtech.geomesa.utils.geotools.SimpleFeatureTypes.mutable()
to create a mutable copy. Java users
can call org.locationtech.geomesa.utils.interop.SimpleFeatureTypes.mutable()
instead.
23.11.3. FileSystem Storage API Changes¶
The FileSystem Storage API is still considered beta-level software, and has been updated in this release. The DataStore API has not changed, however the internal class interfaces have changed in this release, potentially requiring changes in user code.
In addition, the format used to store metadata files has been updated, so older versions of GeoMesa will not be able to read metadata created with this version.
23.11.4. Deprecated Modules¶
The following modules have been deprecated, and will be removed in a future version:
GeoMesa Raster
GeoMesa Native API
GeoMesa Blob Store
GeoMesa Metrics
23.12. Version 2.2.0 Upgrade Guide¶
23.12.1. GeoTools 20 and GeoServer 2.14¶
GeoMesa 2.2.0 is compiled against GeoTools 20.0 and GeoServer 2.14. This version of GeoTools upgrades JTS
from 1.14 to 1.16, which includes a transition of the project to Locationtech. The new version
of JTS renames the packages from com.vividsolutions
to org.locationtech.jts
. Due to the package renaming,
GeoMesa will no longer work with older versions of GeoTools and GeoServer.
Warning
GeoMesa 2.2.0 requires GeoTools 20.x and GeoServer 2.14.x.
23.12.2. Accumulo DataStore GeoServer Installation¶
When using GeoServer, the GeoMesa Accumulo data store now requires Accumulo client JARs 1.9.2 or later. This is due to classpath conflicts between earlier Accumulo clients and GeoServer 2.14. Fortunately, newer Accumulo clients can talk to older Accumulo instances, so it is only necessary to upgrade the client JARs in GeoServer, but not the entire Accumulo cluster.
23.13. Version 2.1.0 Upgrade Guide¶
23.13.1. Converter Updates¶
The GeoMesa converter API has been updated and simplified. The old API has been deprecated, and while custom
converters written against it should still work, users are encouraged to migrate to
org.locationtech.geomesa.convert2.SimpleFeatureConverter
. A compatibility bridge is provided so that
all converters registered with either the new or old API will be available to both.
Converter definitions should continue to work the same, but some invalid definitions may start to fail due to stricter configuration parsing.
23.13.1.1. XML Converter Namespaces¶
XML parsing is now namespace-aware. This shouldn’t affect most operations, but any custom converter functions that operate on the XML element objects may need to take this into account (for example, custom XPath querying).
23.13.2. Distributed Runtime Version Checks¶
To prevent unexpected bugs due to JAR version mismatches, GeoMesa can scan the distributed classpath to
verify compatible versions on the distributed classpath. This behavior may be enabled by setting the system
property geomesa.distributed.version.check=true
.
23.13.3. Shapefile Ingestion¶
Shapefile ingestion through the GeoMesa command-line tools has changed to use a converter definition. This allows
for on-the-fly modifications to the shapefile during ingestion, however the command now requires user confirmation.
The previous behavior can be simulated by passing --force
to the ingest command.
23.13.4. Delimited Text Auto-Ingestion¶
GeoMesa previously supported auto ingest of specially formatted delimited CSV and TSV files. This functionality
has been replaced with standard ingest type inference, which works similarly but may create different results.
Generally, the previous behavior can be replicated by using type inference to create a converter definition,
then modifying the converter to set the feature ID to the first column ($1
).
23.13.5. FileSystem Storage API Changes¶
The FileSystem Storage API is still considered beta-level software, and has been updated in this release. The DataStore API has not changed, however the internal class interfaces have changed in this release, potentially requiring changes in user code.
In addition, the format used to store metadata files has been updated, so older versions of GeoMesa will not be able to read metadata created with this version. When accessing older metadata for the first time, GeoMesa will update the files to the new format, potentially breaking any old clients still being used.
Finally, the update-metadata
tools command has been replaced with manage-metadata
.
23.13.6. Spark Version Update¶
GeoMesa now builds against Spark 2.3.1, and supports versions 2.2.x and 2.3.x.
23.13.7. Arrow Version Update¶
The version of Apache Arrow used for Arrow-encoded results has been updated from 0.6.0 to 0.10.0. Due to changes in the Arrow inter-process communication (IPC) format, clients may need to update to the same Arrow version.
23.13.8. Scalatra Version Update¶
The version of scalatra used for web servlets has been updated to 2.6.3. The new version requires json4s 3.5.4, which may require changes to the web server used to deploy the servlets.
23.14. Version 2.0.0 Upgrade Guide¶
23.14.1. GeoTools 18 and GeoServer 2.12¶
GeoMesa 2.0.0 is compiled against GeoTools 18.0 and GeoServer 2.12. When upgrading GeoServer instances,
it’s usually best to start over with a new GeoServer data directory. If you upgrade GeoMesa in an existing
GeoServer instance that has run GeoMesa 1.3.x or earlier, layers will still work but you will not be
able to edit any existing GeoMesa stores. In order to edit stores, you will need to delete them and
re-create them through the GeoServer UI. Alternatively, you may edit the GeoServer datastore.xml
files
(located in the GeoServer data directory) to match the new GeoMesa data store parameters (described below).
In particular, you will need to add a namespace
parameter that matches the workspace of the GeoServer store.
23.14.2. Data Store Parameters¶
The data store parameters used in calls to DataStoreFinder
and the Spark SpatialRDDProvider
have
been standardized. New parameters are outlined in the individual data store pages:
The older parameter names will continue to work, but are deprecated and may be removed in future versions.
23.14.3. Removal of Joda Time¶
With the introduction of java.time
in Java 8, the Joda Time project has been deprecated. As such, GeoMesa
has removed its Joda dependency in favor of java.time
. One consequence of this is that custom date patterns
in geomesa-convert
are interpreted slightly differently. See DateTimeFormatter for details.
Warning
In particular, “year of era” has changed from Y
to y
. Y
now means “week-based year”, and will
give different results.
23.14.4. Saxon XML Parser¶
The GeoMesa converter XML module now ships with Saxon-HE by default. Saxon-HE is generally much faster at parsing XML than the default Java implementation. Previously, Saxon was available as an additional download.
Warning
Saxon parsing has some differences from the default Java implementation, which may cause existing converter definitions to fail. In particular, Saxon is much stricter with XML namespaces. See Handling Namespaces with Saxon for more information.
23.14.5. Kafka Data Store¶
The Kafka Data Store has been rewritten into a single implementation for all supported Kafka versions. Support for Kafka 0.8 has been removed. See Kafka Data Store for more information.
23.14.6. Accumulo Standardization¶
In order to standardize behavior between data store implementations, some behaviors of the AccumuloDataStore
have been modified.
23.14.6.1. Attribute Index Coverage¶
Accumulo attribute indices specified with index=true
will now create full attribute indices, instead of
join indices. To create a join index, explicitly specify index=join
. Existing schemas are not affected.
23.14.6.2. Record Index Identifier¶
The Accumulo record
index has been renamed to the id
index. In general practice, this will have no effect,
however when specifying geomesa.indices.enabled
, the value id
must be used in place of records
.
23.14.6.3. Tools Command Name¶
The Accumulo command line tools script has been renamed from geomesa
to geomesa-accumulo
.
23.14.7. Table Splitters¶
The table splitting API has changed. Any custom table splitters implementing
org.locationtech.geomesa.index.conf.TableSplitter
will need to be updated for the new method signatures.
In addition, the provided GeoMesa splitters have been deprecated and replaced. See Configuring Index Splits
for more details.
23.14.8. System Properties¶
Time-related system properties have been standardized to all use readable durations. Durations can be specified
as a number followed by a time unit, e.g. 10 minutes
or 30 seconds
. The following properties
have been changed to accept durations, and some have been renamed. Note that this will affect system properties
set in the JVM as well as any custom geomesa-site.xml
files. More details can be found under
Runtime Configuration or the appropriate data store configuration section.
Property |
Previous name |
---|---|
geomesa.query.timeout |
geomesa.query.timeout.millis |
geomesa.metadata.expiry |
N/A |
geomesa.batchwriter.latency |
geomesa.batchwriter.latency.millis |
geomesa.batchwriter.latency |
geomesa.batchwriter.latency.millis |
geomesa.stats.compact.interval |
geomesa.stats.compact.millis |
geomesa.cassandra.read.timeout |
geomesa.cassandra.read.timeout.millis |
geomesa.cassandra.connection.timeout |
geomesa.cassandra.connection.timeout.millis |