diff --git a/CHANGELOG.next.asciidoc b/CHANGELOG.next.asciidoc index 978309d1f70b..592a9f52e081 100644 --- a/CHANGELOG.next.asciidoc +++ b/CHANGELOG.next.asciidoc @@ -216,6 +216,7 @@ https://github.com/elastic/beats/compare/v8.8.1\...main[Check the HEAD diff] *Metricbeat* +- Add support for shards_stats.total_count in Elasticsearch Monitoring data. {pull}38891[38891] - Add new fields to configure the lease duration, retry and renew when using leader elector with kubernetes autodiscover.{pull}38471[38471] - Add per-thread metrics to system_summary {pull}33614[33614] - Add GCP CloudSQL metadata {pull}33066[33066] diff --git a/metricbeat/docs/fields.asciidoc b/metricbeat/docs/fields.asciidoc index a84348581156..40c8928113e5 100644 --- a/metricbeat/docs/fields.asciidoc +++ b/metricbeat/docs/fields.asciidoc @@ -32239,6 +32239,14 @@ type: long -- +*`elasticsearch.node.stats.indices.shard_stats.total_count`*:: ++ +-- +type: long + +-- + + *`elasticsearch.node.stats.indices.segments.doc_values.memory.bytes`*:: + -- diff --git a/metricbeat/module/elasticsearch/fields.go b/metricbeat/module/elasticsearch/fields.go index 357fea6c3152..7fe1827b3ceb 100644 --- a/metricbeat/module/elasticsearch/fields.go +++ b/metricbeat/module/elasticsearch/fields.go @@ -32,5 +32,5 @@ func init() { // AssetElasticsearch returns asset data. // This is the base64 encoded zlib format compressed contents of module/elasticsearch. func AssetElasticsearch() string { - return "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" + return "eJzsfV2P3biR9r1/BeGrCWDrRW6NYPIC2WTXC4wxyEz2ZrFQ2BLPObQlUSapdvf++oVIfZASPyVKfey0b5Lpbj31VPGrWCwW34Mv6PkDQBVkHBcMQVrc3gDAMa/QB/D2r+rP374BoESsoLjlmDQfwM9vAABA+xtQk7Kr0BsAKKoQZOgDuMI3ADDEOW6u7AP477eMVW/fgbc3ztu3/9P/7kYozwvSXPD1A7jAivXfXzCqSvZBiHgPGlijD6CoOsYRzUe0bPhBViMOS8hhVmLWVvA57/9efAoAf27Rh17Nb4SWGhxuSvSUU1SQR0SftT+/UtK1w09UJurn7AZpyTLGIeU5xzXKcZPXuKowm/52xIMVhupPW8hvC7Nngk420lFws5rZhZP2ENkDrEM0JxxWB8iecUfhk2AOiy8545Cz6MaCbZ1dSNeUmyiO/UzIzgSPbI04ynpq+98XBc1QAx8qlE6mHXktGz5CXPV/dIB0HXuUXeECNQzFDyQOebet7+g0BwLZAnCU08MmlDLBaQMjWvuW4hpO008cMSExWyKodt2msMTVv9dmzR0DXZmaZ9CGlNuY9h9meD0O1LbYonvT1Q+ImlefTRMQbkpcoHUvV781fa8xIF3Dtd/YFLMpp/fkgZOcco0S1bn+AMEDvK6X2icS2Cs5ecErW7fFKPXzY22UtmRuY69i1fAp71rrIutXJ0alz491NgtUl/4VLVRnNwTbvGOo7Jk9PHN0MDFUE/ospGa91MwscsWwV+h0gjV8UviZJpD4VVJIym+Q3dIs6BxlBshR2iOiDJMmmagl3tzBhUk2z/8mWSZMbU3Muw4ncsq49DYWkMk9GwVo8mZwjRiHdfvGBi1h3/7/6S/fGrujwtyGYaaG9e0UIx0tkGr28M69uUFs67/mZUQDTl9Pczp5kOt+1v+/SHvVVf/V0lwz5IVQVEDG2fDf6oIVJcEOpG95N3swmuMX6OKZja97v3jnQs84oShj+H+Rba6PW/ClGhO3zIc/8ihJYfIM9oq3wE7ao2uNGn6EZAf0KJ2iC0Xs5osH7OcSLGj2Aeh19G7z4zpHoBhtGOHmmsxHlGPa5OW6dQvVbyScuQQtyKR3WH2s3BKnRfNGCecVOpWhT+hEbmHZ+Hnwa4foc17A4oYGfzR5vxcksyhBIzvBXIRpD+UWIWaew752iPEzLBcp6pS5TDKLnMcOnvdHa0XO+cd4ApJMqBfwnczwUql7mt3NjO5lZl+wCxE4e2jDwdqax5b+IGffY/rD8COXiAWNY+2t8wkxtfRYkxmbI1qzfJiok0aSdDUHRztM3LR9IrjhJ7ILlOcKWCdkY4ZXNmP5I6w6dKJ9ImTOcb1T+1eYOG05LXM5Rs4jGSd29i+fUJk/YJ4zxM8jGydWnVbyR1RwQk+eXYKlLmLBeQ3b85jGCNXdk28Uc0TPYxolVTmfOIfdUpAWDiwKmsOOk/xCqop82xgYlGelObnkF4irftxKNNuRZ1D4u6CZwiyTyJmObDs4XPKhqCYc5dr5Sz5sxJLScwrysmVdUSDGLl11hAUH9DATyj9CNJssCMv9FpssMZkLlgoBtVdu64niPDnferZT0GzSe5UFALStr9rMO8xhhJnSaRAsEc2351v0MiRIpoMsW3mnjMloZimDHteKPMAqL26o+CLcyL062QEXkmv4lDP0NW/IXpEGpJUt0+k52dWv6SQ9ga6TWIe2/UfjfIDK3dZ1oo0ySccZh02Jm2vq+UiBXk5KNgZivT+IgsC2cJByH7rLpV80WkQh792k5VYojoUKmk2gIQxs0bAd8nvIRXaHoZu3bd8Ku9IU9L5uBlxJHnOP04m2Iq5kC2iUULQNUDuRkINNhF52ZPn2cpXUXjHKDMnFisRheURPqDhEuoJvTHOevbHEs82M7JpszvS8VLnT8GdC9v5ONgMGiu1nA44SdG8H5ihWzDP7FDVA6L1Zzm6Ju7BcI9z9NvUapXRc1xI19NzU0oeuq0rWtg0NKdHGfcNlTS/m2NWeYbol4Dwl17uiA9bUpSGlqG+suob0ec7Vt2RMuiMNek9OQkgGKGLJzN27XqTLJ7K2ldGLmDoBm312xkQbS/sN7T6uMiG6UIFx6TD+WYjNRm0HoylLlu0IA3hDdGq8AJZ5epZiNU1MVU7a6bnKWXsH2ZT3KMTxQrKO7Uo2sGkTbMnppsSUe+BJfHf8yRlUEmdCGsR7kiGPSr7wnXIHsjckN5guWoStFO68kI2MxHDdcnAbn4kRy1BDjjPbKgctWf8IyBaL0HWZvLZ5/VYy9O5U1XUO4WZltaS6O1XXlPi33Qs+JKEo0Xhdpexsn+HcmU6b+Gya3w7LLrIRCVbNmQoTZuSoRJlYYjP41j4PdqR4xLLV8FMQjkxJiOWrwqegm55hAlKhGVKx1ARuCoLBWXixDCVwCoqxiVyxTDX8FIQj86Ni+arwqegexTMJwbgkrliaCvoWstOdSO3qfPzG/lokXJirSnaPY2JWVekMftiwffgGFUzHw8t/nvb+/Fhn1yKbbZKRqsxmfGc0BwSEnyy0vR5pKv5GBzWU/Ej8mXSruIOOce+tKjT4rtt1pcGmllXcoWQTSkg1igB1x8IWixoTYXqt+Pjqd8QQclTliGXUIlqgLfuiNaG2CN0WaeeIWg5hSOEBNybZF7Au2i5ZP6wILHP4iCi8LkMlbmAXuCrgj8sxM/7ztB1hWdF22cDvmllxfKO2MLHf4Qm0HSwcvWiPrToGryhvYEM2nrT0RhMEsoFmJiAz68lNyEBcd7c02hYXln/tCId5jQuaROWsuLBMYGbdFpWBtkeC7hOpFMv3nO6NKtgOkx0m5Y5VUDdI/7NsgZ10HZ81EIVl8jEqb3Not2mwwE6qgXA/Jmjn8NtOXuFuHYw+4npY5pgxSRpOSZW7+nawAYatXwhm6KCscI25y0XZQlCAWn2VGHpyAk9MT07hsfSmaBQlBWL343BsduYGRcSwinfj+E2kXbSE7Kup8dBVX5LZ4muHOpPX5bGEokvW88kEzq6gP0WfUcGNk3YsmRFq86nKFZmzBF7IwlfE78bAPZfd9l1e73lxC8ubivdi47EA9U4rpz+T3Wvm+eDzLuw8/Ha3ocVx1z3ZWSa33YuZJZtoKy8S7DZmUuew2rfcmgoC2pFsaMCfEeYGdQGvwK0JCiBoY2K/yz2m8trKnjl2RZHpa4czNeWBHJM/b5yH3ZAuWBCcjgIS2XBd+CagnQNTeA7k6Csa/QOMQ1OBKsMFdg0iegody+s2piqq6jsm8p/hSZbxn/40y4ArpGRWqYaQdgKZuLRLlFWU08oVmEapxkrTMQsUXi7PNrIewv2/T6RE4OO/GeUsmj+FJL3lVWGUVJYVd7s0gWkWJyt0G+U9EFIh2MTJ+8gAvyHRtuL/SHzx3382E6hI8UV3VfZTGEHB8DgLIM1E68/r7l+sK0cs+6FD5l8oYez9OL4oaitciKsVYHltR3+Jafzn6uLW+hbA2S2cdyrnTyuyWAOmUJ+nqEAAhKEAyPwVbji6KvrYfRGxjiZzSJZ3nb3arD62XFWOAlpdGHV+bekXsMzRU4Fa090gidKIxrN8vroKCvZ5etN91EN8CsNtZZMIo9XByvIbgabMV3H79cfXU6mD8eMpaxwWavGLdEPDfw3M3QyWIiDx6ik1qJJpd+BgcJbH8lrAhBhTFCxYwGIKvENTmJd4UUcpWT8wBbaBx3UFfl+u//cJ1giQy8DYImn2Zw1Vlxy2iWLyC3zCdVcD1neZpkDDAXxPbhqlo6s5sF2+fqazdVWocpA2NuhYa+N7atKRs6dRjSXgnBaKYzO1Yt9wQhj4hvkNy5Z0c3NWS0nPcBYneaES/DRuOVD5h96zJoL1ZFqpz4WSOrxfiuAVw02B8mErsMFvDtLsd1yjdwA3oGbvgJCos+/FgwvixQ2tlEg9rKKI/7uQAWYZQNyt6oe/bvr7n6qC+doqfQWQnkPC1qJdESj28lsRIO5qSE4oU+DMn+bhiiEM0YP9EQOzSfyhguUTpXY1bAzAIra3eiLPTwasIlPL9+jiMHz9w/e98Y26OIjl25n615cK9kuGZZu+erTOJ1brYWqf6hj46UoRat6BZ9SP9neAovIP5pigibK9K2gyP/WfColYxICzoH4zuTDMWSrHOqaV732Ff7wY5lnAMZ1o+v/e01fmWmHKfnkbZwqLVGMYNlzs7B9IoPeowlf8UKFgAoZCDFvE9zDBMtfPs7r3Svadkrqk2t9M9ai0TPL0X+7YAOe8muENqq5L7oDwsWmIlEu4zePVWwrHO9okgoz09n1HXCbfA2g+dwztyCZfajmkhzYI6N/yTeWoLu5l85vw5u0N5l+aRdUedwkwp9sU4SZF6LW2s7Sew8z+TJUjaA1PvPvpTYtSWB2ZPV30FwEM+rkFXAhVRBpnkeHZ/J3O3nTE/tRi+tyPXle+Q8BMYPB13N7ONObH5//DPlQkFunyiWFbZxfSNXZP0XyYOSM8tbD4Ih8LGJ2YBFjDCWgw0tSsDcXF+oHriD3NXwVCgi0NekJF1+8a85ZUuEhXcdJwsA+CHXsO2bL3uNm4GDmSGlRYj6NhoeQP2U2dWNzU3QVRwKZAla33+vqvMqdDihqe9yqtT5HjKBmOkFUA+90Y900yZR6h3HW72XM6oZxPdE2Dm2vWQGNMyImmJdEKn8w4TAwsfBkk84osM3rGAxMwxEelRMfIFRkE/afI7HikZ8ZvkA8z2HgJh1AGbvARTZyGaKPIVBFN2LWWjBx5apT8zLzoKDXfxtnrs/xFIqsxv/ksd9BnMpbdrdrgJMZGs+20wtrJdlYRvVgtAeJXqRsuy1Xw3z7bOTcJ2zvVDsd+gxc9fmqIkIVFHCOiW8dk433s292Rjpc+Cf4OkqK9B+XRKcyexCl7Tcg0igfWh4ywAHrEhavsciDMDXNnbZhAmBozthVHb9PvqQ3uyHj+x6yjgAwBr5241irPMd+XqELmS09BJ3vGgpwgSedK0Q28pdYiwEKLzEVAxtYFjGQbUcEvAjm0IGQEZHAJxwjMqLqqEbiRNUUjkOOKBEYAx9Zt9UDPa/yFInZT3sUJeIk8CBE9cUSbHjQZdI3oddyLpph87+I+VWBn3evUqYjh9eUdoK6dy3Yve+t6uOlMoCRFJ9Y+oKaM2TfW2xfbbfSkpGiaYU7PhdAa8uGuyQHajPr0PMYcPUG810II9WkQ6W0drZBPHYCboupETOQBFl/6/xXH6hdCQQspx7CqnkHd921UjseRdhsc4/dHe/1BAWz3risIwr1pCDuvd28YAhaE5ZlfikVmxnRZ6XU77oK5ox1lah/ku3LADt0rJnGX/csACF2+1gtyrZzXPzzLrPPBIo5FDRy7/zxi37VjrG02rlxMp3roL7IvPGBbfGB4IPGWEJwSeThsg5x2T/+vG/V/3RQnMqSh7CFIYsQw3yNCdfh4TQ2XtGWEvt4XNaPQtvLT+l9GUUEekVZX9gVOsNMWJ7zgdSETN6ILVUW2lzEFAVlBqoMrrG4tlxzYESjqHbkEnWnH6rJO9wFJTD2ZKNGQlrZK5Vz4XsJ2YG3KJlgP/XXal0ce46Td+iWkfNunluSM+IwrmX0+zlZaVSfgTsjdkaKxENojuXI1zOmhmyoJ/U47BPAi59ssm/H1Iw47dP77qK3AtViZwoZVZNmE22ds+7wamBG7PfdoWJqbXPTycIw585VeEc+ESVpCeQ7Lkq6rMQQMbQmUsrTY7wJSJrBZR4wUeyPMXH95t+AeGQxGAT8VpKtK8IDAx1+nHxIq/qjnY7kXOJBMm4ClktTTsMzjjHS0QAkaegBK2dC/CUh3Qw9i0za0KjhFQw8k0za0StKeb/eIKL70G+6Urqi4pJ+HvfMdME1FQeiO/lC+8mX9/PQ5ja+nrSlPW7dUi/LHqxOcTG44aL1bXRKfsgY+/5yum/nC3CtiQY+BHt0ee89Azgsupqg3Zq+3HQR1VuzYySzNQ5khL0Y5joKUFdhpTA/Y4RFVpaRMgu7jnD8jcKz335K38eaWWaLBx2tSLJcVHXCvuWmH03v1ll69pUh9X72lH9Nb8j9g6Yrl6mDaKewm72ut46sj9+rIRen7XTpyd+B6zcPuihjPW9yiCjf+x0KmUNgD0qqZaRPu37umtyOoEae4YIA0gxwwyhkLjmiVMFwBNWug9BuuymJdU1MvngZrBP4fwOW88mpsEjikmrxfZr17aQLJboF3ysoPq0qpphBWKsw/d4Qv9Z8MTu3AZ1wWMTPbTSXiKVm+jQkqB1zAyUgqnJKYDGXpw51VdqXjIDo4a1HDRy7CY5us1q+O3fWmsxuamuFH4QQSfkN0+iUDBaxMZtNUYKi67NZgG3f0FMd9DoYPHTrZ9s5w+g0C8lJ0I/Qj87lF0neVY9NCVBecc2h382KFw6aUcwS8Ck9fmnzkMe7UpLsL3v6p/+bnD3/i8PrzWytJQktEjec7IK6b3JDEWrKCbYsgnfaR05RWogtusLG+0elTlLcpX2CO8nevF52kVvSmdP8q+0wevL6BY9NVVyYfIjxtLuER8j8a/LVDoK7AZ/JgP0S21mreJPQ/yYOENEu7EIoKyPjwEGlMCaepjUiJZKZpsll2vGNkLhsYkgEgIi9iyKc7CMXNI6xwKash7ijHMM0ZOUUFoeUWrEW7/zpNQyJygx7XkRDVMpmqinETtDWJrJ+558iG1I+JBxcAwmLhhuKG1RBkQtLooJ/a5X+L6l4ys6EhHDwg0ELKUGlIHVnNFkGPDjoUWHx/fH32sBf+BlRzc67rLAduFQxTxX/9Aj42FxLr/G8txB4ULOtJGQ0AVvOFLMLc+wEvFtr7DwRb0DPQonm9Dv5AXmhh6lN0qOHTdhUa0rx8U3wizfsEzTHq8pItMqkS3iqLtSY74CXOy+Rm9tjiZGA0mnFm3v+Qxm9TZWwAH0jHAYLFbUjJawA0P4q7z/0T27N0u0dnEu0L11BKeRvHXv4yAsS6T3JgKEH9qGL6vpY7LBg93oNyqpki9Lsn7LtOkfyO6Fruz6SluzEHYQkzXrL7XvgqRykyeLCzcMKp2RPoqV9M1LDE/WZO3NFx+/d20D4mPkScqe9NQInmBqtqfHQCMoavjYzjiejY6N+cm3cSb97pzQyZVGLTI2WqyVQ255Cl2dN7vSYE3l58Xg5HwlSJfNdMD5LmcWgZEocXPTqjK5xVwOkMXY6vi5GiUyslNnY/E93Pgflyn5tOazm77yV5ZH2mueiOb/H3sB1Eeus0zUuBUufmZNlqVZmTRYtiRCfLlMWkThaqlUg6WbZa6OgFRJ8tU6m+dLBk5RCjlyRi38lCNgdFbEd4S12Q/VPoWaO4cK8hJelszzzNYkxVBZaN2hJSpQvEkeoYq7ufAk1i+eCqd7/Ap5A6gS2CX+6G868Ifgklnd+TsQXxOszingdezyX+D3kQ5AwKPJPuoF3lPTXh63h5HS9pxgvr6CN+NOTJvQ6Zl+f8OmTOJm4bMqqLdy2yglSV3B2ldPNGWFdq0Us/O7QjZCmW5h9MR2MnuaTrFcflT+wpN7jEml54TlFaeFVTKEzngAH+N1whwJ4ZR7VDTLDxTgv0UbTrvl2MrKklTzkEIkdHjp38U2QVBN6sBHEXDSmCZXYMtIjZJsCeDJBuriva7pCeUBFY5vDxmv1xmTisy7jB6pJfKgLX5pgo2ngkWLjaDhYFzzoGryjbW87ZbEs/Ux9bTcaFZV87wmFmvLIQyBgsboJ4kVzUQ+irAlEFW4bKvEUUk9I/GAL1AYskQ6UUwFEiFAnWvhMIrx+bHt+NSMMpqXJfu/pS63XUCteOVOxtmHJobsdcpigXbZetg9KOYHRIEJrf+tUjbwlJV+LnsFxQ+dh+Ap+dos+o4J7hFeB9XggtUC5eM/rXUPiK7Bl0P5Si7ju6P5Sqx2ah3Jeuwp/9cVVd5svlLUWMdTT1zdNjXFp5JyIrSP2AG1TmBSG0xA3kvSawKfOhFP1puQVi2z4Kle2y/emU7ZJPVVc1+gvorIk/VXGK2goX8AV0HiWf3M53MsrmYX9+y4+yX0jlkxt+FAur04KRsq+dKFBs5A56/nKyo7w4mbWoKftBwyFT9zvmldARcP6nCfCfYqcLccMABMMvQP8LFUk9ddpyeZMhynNRSMboIMSXN/goIMEact7MYkIxN79TEy/vVxPc5NiKRxeMknY84pCBvxEK0BOs26pXqOPva9i2y9sJWrQFN7n0D0MfL/LXkcC1uPQiYFc9VORZ7+mSAmDoPLv62GHPEokrM5jJMkf+J4rk9axUxteKeAgm7teRUhas6YULyBDZFFWkkEu7uGLepH2+5jY8aSJKsoou8w2yUSgqwYWSOoxY0jeHgmiBjxzcoOxA6AkWHDBYIyCS8wG/wcZoPHETqyB1Czl+wBXmz6DtaEuYLQVATkL5onQK2LUJM7Siz2RKWLJb2Xr98f8FAAD//02PqlQ=" } diff --git a/metricbeat/module/elasticsearch/node_stats/_meta/data.json b/metricbeat/module/elasticsearch/node_stats/_meta/data.json index c6246987ce4d..d57493bbc576 100644 --- a/metricbeat/module/elasticsearch/node_stats/_meta/data.json +++ b/metricbeat/module/elasticsearch/node_stats/_meta/data.json @@ -68,6 +68,9 @@ "count": 15325 } }, + "shard_stats": { + "total_count": 1753 + }, "segments": { "count": 24, "doc_values": { @@ -209,4 +212,4 @@ "name": "elasticsearch", "type": "elasticsearch" } -} \ No newline at end of file +} diff --git a/metricbeat/module/elasticsearch/node_stats/_meta/fields.yml b/metricbeat/module/elasticsearch/node_stats/_meta/fields.yml index 1c5b1a1de684..f0d3b8d4b0a4 100644 --- a/metricbeat/module/elasticsearch/node_stats/_meta/fields.yml +++ b/metricbeat/module/elasticsearch/node_stats/_meta/fields.yml @@ -105,6 +105,11 @@ type: long - name: query_total.count type: long + - name: shard_stats + type: group + fields: + - name: total_count + type: long - name: segments type: group fields: diff --git a/metricbeat/module/elasticsearch/node_stats/data.go b/metricbeat/module/elasticsearch/node_stats/data.go index c6d430875d0b..f19860456606 100644 --- a/metricbeat/module/elasticsearch/node_stats/data.go +++ b/metricbeat/module/elasticsearch/node_stats/data.go @@ -112,6 +112,9 @@ var ( "count": c.Int("query_total"), }, }), + "shard_stats": c.Dict("shard_stats", s.Schema{ + "total_count": c.Int("total_count"), + }, c.DictOptional), "store": c.Dict("store", s.Schema{ "size": s.Object{ "bytes": c.Int("size_in_bytes"),