#apachehive — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #apachehive, aggregated by home.social.
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anybody know if it is ok to run #apachespark and #apachehive on the same box? I have 969 #java processes on this #centos box, which seems like a lot, but not sure if it is actually a problem.
Something is certainly a problem.
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👩💻 Hands-On with Catalogs in Flink SQL
🔧 In this second post in the series, @rmoff shows how to use Flink SQL with catalogs including #apacheHive, #JDBC, & #apacheIceberg. It also includes a closer look at the data structures within the Hive Metastore.
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👩💻 Hands-On with Catalogs in Flink SQL
🔧 In this second post in the series, @rmoff shows how to use Flink SQL with catalogs including #apacheHive, #JDBC, & #apacheIceberg. It also includes a closer look at the data structures within the Hive Metastore.
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👩💻 Hands-On with Catalogs in Flink SQL
🔧 In this second post in the series, @rmoff shows how to use Flink SQL with catalogs including #apacheHive, #JDBC, & #apacheIceberg. It also includes a closer look at the data structures within the Hive Metastore.
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👩💻 Hands-On with Catalogs in Flink SQL
🔧 In this second post in the series, @rmoff shows how to use Flink SQL with catalogs including #apacheHive, #JDBC, & #apacheIceberg. It also includes a closer look at the data structures within the Hive Metastore.
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👩💻 Hands-On with Catalogs in Flink SQL
🔧 In this second post in the series, @rmoff shows how to use Flink SQL with catalogs including #apacheHive, #JDBC, & #apacheIceberg. It also includes a closer look at the data structures within the Hive Metastore.
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#hiveql #sql #apachehive
Question: why do I lose records in my results when I try to use date_format(field_name) on a result field?The field in the table is a TIMESTAMP, so I used to_date(field_name) but that gives me yyyy-MM-dd and I need MM/dd/yyyy format.
EDIT: Without date_format the records all show up. With date_format some records disappear from the results.
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Die Big Data Tools 1.6, ein Plug-in für Zugriff auf Zeppelin Notebooks, beherrscht nun auch das Monitoring von Apache Flink und bindet den Hive Metastore ein.
JetBrains' Big Data Tools 1.6 behalten Flink-Jobs im Auge -
Die Big Data Tools 1.6, ein Plug-in für Zugriff auf Zeppelin Notebooks, beherrscht nun auch das Monitoring von Apache Flink und bindet den Hive Metastore ein.
JetBrains' Big Data Tools 1.6 behalten Flink-Jobs im Auge -
Das neue Release der analytischen Datenbank sieht einige Änderungen bei Authentifizierung und Autorisierung vor, darunter die Integration mit Apache Knox.
Hadoop: Apache Impala 4.0 mit erweitertem Multithreading -
Querybook bietet eine Notebook-Oberfläche zum Durchführen und Visualisieren von Abfragen über Big-Data-Query-Engines wie Hive, Presto und SparkSQL.
Big Data: Pinterest veröffentlicht quelloffene Web-IDE zur Datenabfrage