Neo4j Connector for Apache Spark, which provides bi-directional read/write access to Neo4j from Spark, using the Spark DataSource APIs
APACHE-2.0 License
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Full Changelog: https://github.com/neo4j-contrib/neo4j-spark-connector/compare/5.3.1...5.3.2
Published by ali-ince 4 months ago
Hello Community!
We're happy to announce a new release of the Neo4j Spark Connector!
Full Changelog: https://github.com/neo4j-contrib/neo4j-spark-connector/compare/5.3.0...5.3.1
Published by fbiville 8 months ago
This introduces support for type/existence constraints based on the DataFrame
definition and improves the handling of existing constraints.
Check out the documentation to learn more!
Full Changelog: https://github.com/neo4j-contrib/neo4j-spark-connector/compare/5.2.0...5.3.0
Published by fbiville about 1 year ago
Hello Community!
We're happy to announce a new release of the Neo4j Spark Connector!
This new release bumps the required Spark version to 3.4, in order to support the new push down Top N optimization.
Full Changelog: https://github.com/neo4j-contrib/neo4j-spark-connector/compare/5.1.0...5.2.0
Published by ali-ince about 1 year ago
Hello Community!
We're happy to announce a new release of the Neo4j Spark Connector!
Full Changelog: https://github.com/neo4j-contrib/neo4j-spark-connector/compare/5.0.3...5.1.0
Published by fbiville over 1 year ago
Hello Community!
We're happy to announce a new release of the Neo4j Spark Connector!
There are two files:
neo4j-connector-apache-spark_2.12-5.0.3_for_spark_3.jar
, md5 46775288407098da460c5668db6fedea
neo4j-connector-apache-spark_2.13-5.0.3_for_spark_3.jar
, md5 72727cc4b399d0fe17926d8a43d91c86
Full Changelog: https://github.com/neo4j-contrib/neo4j-spark-connector/compare/5.0.2...5.0.3
Published by conker84 over 1 year ago
Hello Community!
We're happy to announce a new release of the Neo4j Spark Connector!
There are two files:
neo4j-connector-apache-spark_2.12-5.0.2_for_spark_3.jar
, md5 6033893da4ef48be27a9fa2055b681b0
neo4j-connector-apache-spark_2.13-5.0.2_for_spark_3.jar
, md5 c94d6247bb5a6862fefde7d98533c0f0
Full Changelog: https://github.com/neo4j-contrib/neo4j-spark-connector/compare/5.0.1...5.0.2
Published by conker84 over 1 year ago
Hello Community!
We're happy to announce a new release of the Neo4j Spark Connector!
There are two files:
neo4j-connector-apache-spark_2.12-5.0.1_for_spark_3.jar
, md5 08f1fa9e936eab63aa380ac50f30f2e0
neo4j-connector-apache-spark_2.13-5.0.1_for_spark_3.jar
, md5 692af135dfdf0d188e9c9b2d944996ef
Below are the changes.
Full Changelog: https://github.com/neo4j-contrib/neo4j-spark-connector/compare/5.0.0...5.0.1
Published by conker84 about 2 years ago
Hello Community!
We are pleased to announce the 5.0.0
of the Spark Connector which is the first official release that fully supports Neo4j 5.0 and Neo4j 4.4. For earlier versions of <= Neo4j 4.3, please use Neo4j Apache Spark 4.2.
N.B Because of a bug in Spark, the Aggregate Pushdown feature can only be activated with Spark >3.2.2 (please see https://github.com/apache/spark/pull/36727)
There are three files:
neo4j-connector-apache-spark_2.12-5.0.0_for_spark_3.jar
, md5 ce814cd8d0a34f14599302895be13956
neo4j-connector-apache-spark_2.13-5.0.0_for_spark_3.jar
, md5 39e5ebb2b71a3f93d3230db91f25e2db
Full Changelog: https://github.com/neo4j-contrib/neo4j-spark-connector/compare/4.1.5...5.0.0
Published by conker84 about 2 years ago
Hello Community!
We are pleased to announce the 4.2.0
of the Spark Connector with this version we deprecated the support for Spark 2.4 and support only Spark versions from 3.2.
With this release we added the support for Spark's Aggregate Pushdown which allows doing aggregations directly in Neo4j.
Nota bene Given a Spark bug the Aggregate Pushdown feature can be activated only from Spark 3.2.2 (please see https://github.com/apache/spark/pull/36727)
There are three files:
neo4j-connector-apache-spark_2.12-4.2.0_for_spark_3.jar
, md5 6de1f93ece9f45aa51486317a62620f0
neo4j-connector-apache-spark_2.13-4.2.0_for_spark_3.jar
, md5 a79cf2b9d8d6725587760fa149932be2
Full Changelog: https://github.com/neo4j-contrib/neo4j-spark-connector/compare/4.1.5...4.2.0
Published by conker84 about 2 years ago
Hello Community!
We are pleased to announce the 4.1.5
of the Spark Connector with this version we added the support for Neo4j Java Driver URL resolvers.
There are three files:
neo4j-connector-apache-spark_2.11-4.1.5_for_spark_2.4.jar
, md5 118dce27b54f16f304880df9c7280615
neo4j-connector-apache-spark_2.12-4.1.5_for_spark_2.4.jar
, md5 705196b006434b659ea6c1601ec0c00a
neo4j-connector-apache-spark_2.12-4.1.5_for_spark_3.jar
, md5 2ed1f9a89bd900b1aac1950fcbc85ee5
neo4j-connector-apache-spark_2.13-4.1.5_for_spark_3.jar
, md5 caed49e951e9b8d4db12345799795481
Full Changelog: https://github.com/neo4j-contrib/neo4j-spark-connector/compare/4.1.4...4.1.5
Published by conker84 about 2 years ago
Hello Community!
We are pleased to announce the 4.1.4
of the Spark Connector with this version we added the support for the logging with the Neo4j Java driver.
There are three files:
neo4j-connector-apache-spark_2.11-4.1.4_for_spark_2.4.jar
, md5 cf9baef98e7d9214ef77f8b4bccbd87a
neo4j-connector-apache-spark_2.12-4.1.4_for_spark_2.4.jar
, md5 9a56ec8a7d87c6683e4356063714f37f
neo4j-connector-apache-spark_2.12-4.1.4_for_spark_3.jar
, md5 48f03d73b6df80f3bea254266b327f2f
neo4j-connector-apache-spark_2.13-4.1.4_for_spark_3.jar
, md5 a9c9a01198d7e9f820ae9d120d32472c
Full Changelog: https://github.com/neo4j-contrib/neo4j-spark-connector/compare/4.1.3...4.1.4
Published by conker84 about 2 years ago
Hello Community!
We are pleased to announce the 4.1.3
of the Spark Connector with this version we fixed several bugs and introduce the support for Scala 2.13!
There are three files:
neo4j-connector-apache-spark_2.11-4.1.3_for_spark_2.4.jar
, md5 3746283be881449b712be5144d01fbf1
neo4j-connector-apache-spark_2.12-4.1.3_for_spark_2.4.jar
, md5 c60b21b2af94383699cc30bb77da07b1
neo4j-connector-apache-spark_2.12-4.1.3_for_spark_3.jar
, md5 c58749f75e5f052f447589dc594b1b1c
neo4j-connector-apache-spark_2.13-4.1.3_for_spark_3.jar
, md5 fcf7e7b4a489aaa902f47a31fed25ba8
Full Changelog: https://github.com/neo4j-contrib/neo4j-spark-connector/compare/4.1.2...4.1.3
Published by conker84 over 2 years ago
Hello Community!
We are pleased to announce the 4.1.2
of the Spark Connector where we fixed several bugs.
There are three files:
neo4j-connector-apache-spark_2.11-4.1.2_for_spark_2.4.jar
, md5 ab32bdcc08d9fcedca845c8e4f92091f
neo4j-connector-apache-spark_2.12-4.1.2_for_spark_2.4.jar
, md5 b763ddc4b63ebf5471a2eedf86e89a98
neo4j-connector-apache-spark_2.12-4.1.2_for_spark_3.jar
, md5 c29c9b7ba6f3532c4db14836cf95ba6c
Full Changelog: https://github.com/neo4j-contrib/neo4j-spark-connector/compare/4.1.1...4.1.2
Published by conker84 over 2 years ago
Hello Community!
We are pleased to announce the 4.1.1
of the Spark Connector where we fixed several bugs.
There are three files:
neo4j-connector-apache-spark_2.11-4.1.1_for_spark_2.4.jar
, md5 2accb30aa039ddabc298bd7c8206e234
neo4j-connector-apache-spark_2.12-4.1.1_for_spark_2.4.jar
, md5 9dd2022da450fa14a4da90bda1cbdbe2
neo4j-connector-apache-spark_2.12-4.1.1_for_spark_3.jar
, md5 6bfe16d65f57e1469dabf47d963a62e3
Full Changelog: https://github.com/neo4j-contrib/neo4j-spark-connector/compare/4.1.0...4.1.1
Published by conker84 almost 3 years ago
Hello Community!
We are pleased to announce the 4.1.0
of the Spark Connector where we fixed several bugs and introduced the official support for Spark's Structured Streaming APIs with Source and Sink!
This release officially enables Spark Structured Streaming API and lets you connect Neo4j (via Spark) to systems such as Kinesis, Kafka, Google Dataproc, Azure Service Bus, and any other which support Spark Structured Streaming.
There are three files:
neo4j-connector-apache-spark_2.11-4.1.0_for_spark_2.4.jar
, md5 2cde396181f79950a541ca2e6e218909
neo4j-connector-apache-spark_2.12-4.1.0_for_spark_2.4.jar
, md5 982292aeb829d06fc6571cb21e850dfd
neo4j-connector-apache-spark_2.12-4.1.0_for_spark_3.jar
, md5 76016cdd45cb0ca929172cb723dfa3b6
Published by conker84 over 3 years ago
Hello Community we are pleased to announce the 4.0.3
pre-release (not meant to be used in production and with no enterprise support guaranteed) of the Spark Connector where we fixed several bugs and introduced the support for Spark's Structured Streaming Preview with Source and Sink!
This pre-release enables the spark streaming API and lets you connect Neo4j (via Spark) to systems such as Kinesis, Kafka, Google Dataproc, Azure Service Bus, and any other which support spark streaming
There are three files:
neo4j-connector-apache-spark_2.11-4.0.2_for_spark_2.4.jar
for Spark 2.4
and Scala 2.11
with md5 3d56400faf10d6c0a3544cb69ed0056a
neo4j-connector-apache-spark_2.12-4.0.2_for_spark_2.4.jar
for Spark 2.4
and Scala 2.12
with md5 67b4d9a9fcf3d4b484e8d4a67fc33dea
neo4j-connector-apache-spark_2.12-4.0.2_for_spark_3.jar
for Spark 3.x
and Scala 2.12
with md5 aee927b3f1eedccfbed434c61fe2a839
For the Structured Streaming support -- documentation has not yet been published, but there is a PR where we're collecting feedback, please look at it and add ideas about how to improving it!
Please fill an issue if you have a problem!
Following the full list of changes:
fixes #315: wrong recursive call in type conversion (#321)
fixes #357: transformed isValidQuery severity from ERROR to DEBUG (#360)
fixes #348: repartition(1) - Makes loading very slow (#356)
fixes #333: Remove Transaction code LockClientStopped (#336)
test improvements (#319)
#262 part 1/4: Spark 24 Sink (#322)
Fixes #349: Create issue templates (#352)
Fixes #262: add Structured Streaming write support for Spark 3 (#344)
fixes #354: Change org of package to org.neo4j for maven central publishing
update docs for maven central release (#355)
Fixes #361: Change constraint naming convention (#363)
Fixes #358: Ensure the same timezone is used across JVM and Neo4j (#359)
fixes #262: part 3/4: Spark 2.4 Source (#371)
fixes #262: spark 3 source (#374)
Bump driver version to 4.3.2 (#379)
Fixes #369: add parameters to filters (#377)
fix to clean up python in an example program (#380)
Only run docs workflow when something changed in doc folder (#367)
Disable lint:links task for now (#368)
Published by conker84 over 3 years ago
Hello Community we are pleased to announce the 4.0.2
release of the Spark Connector where we fixed several bugs!
There are three files:
neo4j-connector-apache-spark_2.11-4.0.2_for_spark_2.4.jar
for Spark 2.4
and Scala 2.11
with md5 3d56400faf10d6c0a3544cb69ed0056a
neo4j-connector-apache-spark_2.12-4.0.2_for_spark_2.4.jar
for Spark 2.4
and Scala 2.12
with md5 67b4d9a9fcf3d4b484e8d4a67fc33dea
neo4j-connector-apache-spark_2.12-4.0.2_for_spark_3.jar
for Spark 3.x
and Scala 2.12
with md5 aee927b3f1eedccfbed434c61fe2a839
Please fill an issue if you have a problem!
For any question please refer to the Neo4j Community Forum
Following the full list of changes:
Published by conker84 over 3 years ago
Hello Community we are pleased to announce the 4.0.1
release of the Spark Connector, we fixed several bugs and now we have the first iteration with the Support of Spark 3.x
!
There are three files:
neo4j-connector-apache-spark_2.11-4.0.1_for_spark_2.4.jar
for Spark 2.4
and Scala 2.11
neo4j-connector-apache-spark_2.12-4.0.1_for_spark_2.4.jar
for Spark 2.4
and Scala 2.12
neo4j-connector-apache-spark_2.12-4.0.1_for_spark_3.jar
for Spark 3.x
and Scala 2.12
Please fill an issue if you have a problem!
For any question please refer to the Neo4j Community Forum
Following the full list of changes:
Published by conker84 over 3 years ago
Hello Community we are pleased to announce the 4.0.1-pre1
release of the spark connector, we fixed several bugs and now we have the first iteration with the Support of Spark 3.0
!
Please note that this is not meant to be used in a production env
There are three files:
neo4j-connector-apache-spark_2.11_2.4-4.0.1-pre1.jar
for Spark 2.4
and Scala 2.11
neo4j-connector-apache-spark_2.12_2.4-4.0.1-pre1.jar
for Spark 2.4
and Scala 2.12
neo4j-connector-apache-spark_2.12_3.0-4.0.1-pre1.jar
for Spark 3.0
and Scala 2.12
Please test it and fill an issue if you have a problem!
See you soon with the official release!