{"title":"Extract Table Dimension","nodeType":"Other","id":"*OKIm2p_-wmvT8FNf","factoryName":"org.knime.base.node.util.extracttabledimension.ExtractTableDimensionNodeFactory","factoryId":"org.knime.base.node.util.extracttabledimension.ExtractTableDimensionNodeFactory","path":["Manipulation","Table"],"owner":"knime","ownerAccountId":"account:team:b5f0848f-496d-4e6a-b869-fa3532248db7","description":"<p>The number of rows and columns of the input table are extracted and written to the output table. The output table consists of two rows and one column. The first row contains the number of rows and the second row contains the number of columns of the input table. Additionally the two numbers are pushed out as flow variables.</p>\n        ","shortDescription":"Extracts the number of rows and columns of the input table\n        and outputs them as data table and flow variables.","keywords":["table size extractor"],"deprecated":false,"streamable":false,"tags":["Manipulation","Table"],"icon":"data:image/png;base64,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","views":[],"inPorts":[{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Input table with dimensions to extract","description":"The input table for which dimensions are extracted."}],"outPorts":[{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Table containing dimensions","description":"The output table containing the dimensions of the input table."}],"dynInPorts":[],"dynOutPorts":[],"additionalSiteInformation":{"url":"https://update.knime.com/analytics-platform/5.12","trusted":true,"enabledByDefault":true,"name":"KNIME Analytics Platform 5.12 Update Site","version":"5.12.0"},"dialog":[],"links":[],"kudos":[{"accountId":"account:user:751e2226-1074-4bf6-b7af-29a0c091d977","user":"gimbo","date":"2021-02-22T14:13:41+00:00"},{"accountId":"account:user:fd74d1b4-da47-4c58-86e7-4fdd8c45dce0","user":"lukass","date":"2022-01-03T12:48:33+00:00"}],"kudosCount":2,"bundleInformation":{"bundleVersion":"5.12.0.v202606261225","bundleName":"KNIME Base Nodes","bundleSymbolicName":"org.knime.base","bundleVendor":"KNIME AG, Zurich, Switzerland","featureSymbolicName":"org.knime.features.base","featureName":"KNIME Base nodes","featureVersion":"5.12.0.v202606261225","featureVendor":"KNIME AG, Zurich, Switzerland","extensionId":"*bjR3r1yWOznPIEXS"},"frequentSuccessors":[{"id":"*OFhUBYYlMMQ7ZM3F","factoryName":"org.knime.base.node.flowvariable.tablerowtovariable.TableToVariableNodeFactory","probability":0.1501597444089457},{"id":"*jd2U-FYTI8jCbQls","factoryName":"org.knime.base.node.preproc.filter.row.RowFilterNodeFactory","probability":0.10543130990415335},{"id":"*VU5C_Qbl6sDSPXjl","factoryName":"org.knime.base.node.flowvariable.tablecoltovariable.TableColumnToVariableNodeFactory","probability":0.05591054313099041},{"id":"*rqhXsa-dMez9coq4","factoryName":"org.knime.base.node.preproc.transpose.TransposeTableNodeFactory","probability":0.04952076677316294},{"id":"*2fI5rIsFDCFPHc0R","factoryName":"org.knime.ext.jep.JEPNodeFactory","probability":0.04952076677316294},{"id":"*Oy714gpoifm4PiOZ","factoryName":"org.knime.base.node.io.csvwriter.CSVWriterNodeFactory","probability":0.027156549520766772},{"id":"*JiJhJpgkWWuOfG2s","factoryName":"org.knime.ext.poi2.node.write2.XLSWriter2NodeFactory","probability":0.023961661341853034},{"id":"*6jI6GPZYQlWirx9J","factoryName":"org.knime.base.node.viz.table.TableNodeFactory","probability":0.023961661341853034},{"id":"*_kRD7C88GOx0cUBZ","factoryName":"org.knime.base.node.flowvariable.extractvariables.ExtractVariablesNodeFactory","probability":0.023961661341853034},{"id":"*PHWv6FsABEjrSc76","factoryName":"org.knime.base.node.preproc.rename.RenameNodeFactory","probability":0.022364217252396165}]}